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Search Results (1,199)

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Keywords = phytotoxicity

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17 pages, 1064 KiB  
Article
Effective Control of Neofusicoccum parvum in Grapevines: Combining Trichoderma spp. with Chemical Fungicides
by Aranzazu Gomez-Garay, Sergio Astudillo Calderón, Mª Luisa Tello Mariscal and Beatriz Pintos López
Agronomy 2024, 14(12), 2766; https://doi.org/10.3390/agronomy14122766 - 21 Nov 2024
Viewed by 210
Abstract
Vitis vinifera is highly susceptible to grapevine trunk diseases, with Neofusicoccum parvum recognized as a highly destructive pathogen. This study investigates the biocontrol potential of five Trichoderma species (T. harzianum, T. viride, T. asperellum, and T. virens) against [...] Read more.
Vitis vinifera is highly susceptible to grapevine trunk diseases, with Neofusicoccum parvum recognized as a highly destructive pathogen. This study investigates the biocontrol potential of five Trichoderma species (T. harzianum, T. viride, T. asperellum, and T. virens) against N. parvum, evaluating multiple biocontrol mechanisms (mycoparasitism, competition for nutrients, production of volatile organic compounds (VOCs), and antibiosis) as well as their compatibility with the fungicides copper oxychloride and sulfur. Results demonstrated that (1) Trichoderma harzianum effectively suppressed N. parvum through VOC production, mycoparasitism, and nutrient competition, significantly reducing pathogen growth in planta while showing compatibility with both fungicides, highlighting its suitability for integrated disease management; (2) Trichoderma viride showed high inhibition of N. parvum in vitro, but its phytotoxicity in planta limits its field application. These findings support T. harzianum as a promising agent within integrated disease management strategies, offering a sustainable alternative to reduce chemical fungicide reliance in controlling grapevine trunk pathogens. Full article
21 pages, 2135 KiB  
Article
Physiological Response of Lettuce (Lactuca sativa L.) Grown on Technosols Designed for Soil Remediation
by Mateo González-Quero, Antonio Aguilar-Garrido, Mario Paniagua-López, Carmen García-Huertas, Manuel Sierra-Aragón and Begoña Blasco
Plants 2024, 13(22), 3222; https://doi.org/10.3390/plants13223222 - 16 Nov 2024
Viewed by 283
Abstract
This study focuses on the physiological response of lettuce grown on Technosols designed for the remediation of soils polluted by potentially harmful elements (PHEs: As, Cd, Cu, Fe, Pb, and Zn). Lettuce plants were grown in five treatments: recovered (RS) and polluted soil [...] Read more.
This study focuses on the physiological response of lettuce grown on Technosols designed for the remediation of soils polluted by potentially harmful elements (PHEs: As, Cd, Cu, Fe, Pb, and Zn). Lettuce plants were grown in five treatments: recovered (RS) and polluted soil (PS) as controls, and three Technosols (TO, TS, and TV) consisting of 60% PS mixed with 2% iron sludge, 20% marble sludge, and 18% organic wastes (TO: composted olive waste, TS: composted sewage sludge, and TV: vermicompost of garden waste). The main soil properties and PHE solubility were measured, together with physiological parameters related to phytotoxicity in lettuce such as growth, photosynthetic capacity, oxidative stress, and antioxidant defence. All Technosols improved unfavourable conditions of PS (i.e., neutralised acidity and enhanced OC content), leading to a significant decrease in Cd, Cu, and Zn mobility. Nevertheless, TV was the most effective as the reduction in PHEs mobility was higher. Furthermore, lettuce grown on TV and TO showed higher growth (+90% and +41%) than PS, while no increase in TS. However, lower oxidative stress and impact on photosynthetic rate occurred in all Technosols compared to PS (+344% TV, +157% TO, and +194% TS). This physiological response of lettuce proves that PHE phytotoxicity is reduced by Technosols. Thus, this ecotechnology constitutes a potential solution for soil remediation, with effectiveness of Technosols depending largely on its components. Full article
(This article belongs to the Special Issue Potential Hazardous Elements Accumulation in Plants)
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<p>Scheme of the treatments: control soils (polluted soil [PS] and recovered soil [RS]) and constructed Technosols (TO, TS, and TV), including their compositions (TO: 60% PS + 2% IO + 20% MS + 18% OL; TS: 60% PS + 2% IO + 20% MS + 18% WS; and TV: 60% PS + 2% IO + 20% MS + 18% VC).</p>
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<p>Physiological state of <span class="html-italic">L. sativa</span> plants grown in recovered soil (RS), polluted soil (PS), and Technosols (TO, TS, and TV) after 17 days. View from top (<b>A</b>) and side (<b>B</b>).</p>
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<p>Relative growth rate (RGR) of the aerial part of <span class="html-italic">L. sativa</span> plants grown in recovered soil (RS), polluted soil (PS), and Technosols (TO, TS, and TV) (<span class="html-italic">n</span> = 9). Letters indicate statistically significant differences between treatments (LSD test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Malondialdehyde (MDA) (<b>a</b>) and proline (Pro) (<b>b</b>) concentrations in <span class="html-italic">L. sativa</span> plants grown in recovered soil (RS), polluted soil (PS), and Technosols (TO, TS, and TV) (<span class="html-italic">n</span> = 9). Letters indicate statistically significant differences between treatments (LSD test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Reactive oxygen species (ROS) [(<b>a</b>): superoxide ion (O<sub>2</sub><sup>−</sup>), (<b>b</b>): hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>)] and associated enzymatic activities [(<b>c</b>): superoxide dismutase (SOD), (<b>d</b>): catalase (CAT)] in <span class="html-italic">L. sativa</span> plants grown in recovered soil (RS), polluted soil (PS), and Technosols (TO, TS, and TV) (<span class="html-italic">n</span> = 9). Letters indicate statistically significant differences between treatments (LSD test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Antioxidant metabolites [(<b>a</b>): total glutathione (GSH Total) and oxidised glutathione (GSH Oxid), (<b>b</b>): total ascorbate (AsA Total) and reduced ascorbate (AsA Red)], and associated enzymatic activities [(<b>c</b>): glutathione reductase (GR), (<b>d</b>): ascorbate peroxidase (APX)] in <span class="html-italic">L. sativa</span> plants grown in recovered soil (RS), polluted soil (PS), and Technosols (TO, TS, and TV) (<span class="html-italic">n</span> = 9). Letters indicate statistically significant differences between treatments (LSD test, <span class="html-italic">p</span> &lt; 0.05).</p>
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20 pages, 4331 KiB  
Article
Induced Phytomanagement of Multi-Metal Polluted Soil with Conocarpus erectus Supported by Biochar, Lignin, and Citric Acid
by Hafiz Muhammad Tauqeer, Karolina Lewińska, Muhammad Umar, Faisal Mahmood, Tanvir Shahzad, Faiqa Sagheer, Hina Sajid, Iqra Chaudhary and Muhammad Iqbal
Minerals 2024, 14(11), 1149; https://doi.org/10.3390/min14111149 - 13 Nov 2024
Viewed by 387
Abstract
Induced heavy metals (HMs) phytoextraction from heavily contaminated soils is challenging, as high HM bioavailability causes phytotoxicity and leaching. This study introduces a novel approach for HM immobilization with biochar (BC) and lignin (LN), and later their controlled mobilization with citric acid (CA) [...] Read more.
Induced heavy metals (HMs) phytoextraction from heavily contaminated soils is challenging, as high HM bioavailability causes phytotoxicity and leaching. This study introduces a novel approach for HM immobilization with biochar (BC) and lignin (LN), and later their controlled mobilization with citric acid (CA) in soil. Conocarpus erectus was grown for 120 days in shooting-range soil (SS) polluted with Pb, Cr, Cd, Ni, and Cu. HM concentrations in parts of the plants, their percentage removal, and leaching from SS were measured. Moreover, plant biochemical parameters such as the contents of chlorophyll a (Chl-a), chlorophyll b (Chl-b), protein, ascorbic acid (AsA), amino acids, and total phenolics, along with biophysical parameters such as relative water content (RWC) and water uptake capacity (WUC), were also inspected. Adding BC, LN, and BC+LN to SS improved biomass, as well as the biophysical and biochemical parameters of plants, while efficiently reducing HM concentrations in plant parts, DTPA extract, and leachates compared to the control (CK). However, the greatest amplifications in plant height (82%), dry weight of root (RDW) (109%), and dry weight of shoot (SDW) (87%), plant health, and soil enzymes were noted with the BC+LN+CA treatment, compared with the CK. Moreover, this treatment resulted in Pb, Cr, Cd, Ni, and Cu removal by 68, 30, 69, 59, and 76% from the SS compared to the CK. Surprisingly, each HM concentration in the leachates with BC+LN+CA was below the critical limits for safer water reuse and agricultural purposes. Initial HM immobilization in HM-polluted soils, followed by their secured mobilization during enhanced phytoextraction, can enhance HM removal and reduce their leaching without compromising plant and soil health. Full article
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<p>The influences of biochar (BC), lignin (LN), and citric acid (CA) on shoot dry weight (SDW) (<b>a</b>) and root dry weight (RDW) (<b>b</b>) of <span class="html-italic">C. erectus</span> grown on shooting-range soil (SS). The standard errors are calculated from the triplicates of each treatment. The treatments exhibiting distinct alphabetic characters are statistically different from each other at <span class="html-italic">p</span> &lt; 0.05, calculated by one-way ANOVA, followed by an LSD test.</p>
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<p>Influences on plant height (<b>A</b>), chlorophyll a (Chl-a) (<b>B</b>), chlorophyll b (Chl-b) (<b>C</b>), relative water content (RWC) (<b>D</b>), water uptake capacity (WUC) (<b>E</b>), protein (<b>F</b>), amino acids (<b>G</b>), ascorbic acid (AsA) (<b>H</b>), and total phenolics (<b>I</b>) of <span class="html-italic">C. erectus</span> grown on shooting-range soil (SS) amended with biochar (BC), lignin (LN), and citric acid (CA). The standard errors are calculated from the triplicates of each treatment. The treatments exhibiting distinct alphabetic characters are statistically different from each other at <span class="html-italic">p</span> &lt; 0.05, calculated by a one-way ANOVA, followed by an LSD test.</p>
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<p>The concentrations of Pb, Cr, Cd, Ni, and Cu (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>,<b>i</b>) in <span class="html-italic">C. erectus</span> tissues and labile portions of Pb, Cr, Cd, Ni, and Cu (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>,<b>j</b>) in post-harvest shooting-range soil (SS) amended with biochar (BC), lignin (LN), and citric acid (CA). The standard errors are calculated from the triplicates of each treatment. The treatments exhibiting distinct alphabetic characters are statistically different from each other at <span class="html-italic">p</span> &lt; 0.05, calculated by a one-way ANOVA, followed by an LSD test.</p>
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<p>The contents of Pb, Cr, Cd, Ni, and Cu (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>,<b>i</b>) in <span class="html-italic">C. erectus</span> tissues and total removal of Pb, Cr, Cd, Ni, and Cu (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>,<b>j</b>) by <span class="html-italic">C. erectus</span> from the shooting-range soil (SS) amended with biochar (BC), lignin (LN), and citric acid (CA). The standard errors are calculated from the triplicates of each treatment. The treatments exhibiting distinct alphabetic characters are statistically different from each other at <span class="html-italic">p</span> &lt; 0.05, calculated by a one-way ANOVA, followed by an LSD test.</p>
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<p>The influences of biochar (BC), lignin (LN), and citric acid (CA) applications on Pb (<b>a</b>), Cr (<b>b</b>), Cd (<b>c</b>), Ni (<b>d</b>), and Cu (<b>e</b>) concentrations in the leachates collected at 1st (30 days), 2nd (60 days), 3rd (90 days), and 4th (120 days) sampling periods. The standard errors are calculated from the triplicates of each treatment. Dashed lines depict the critical limits of Pb, Cr, Cd, Ni, and Cu for safe water reuse and agricultural purposes [<a href="#B39-minerals-14-01149" class="html-bibr">39</a>,<a href="#B40-minerals-14-01149" class="html-bibr">40</a>].</p>
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<p>The influences of biochar (BC), lignin (LN), and citric acid (CA) on protease (<b>a</b>), chitinase (<b>b</b>), urease (<b>c</b>), acid phosphatase (<b>d</b>), and catalase (<b>e</b>) activities in shooting-range soil (SS) amended with biochar (BC), lignin (LN), and citric acid (CA). The standard errors are calculated from the triplicates of each treatment. The treatments exhibiting distinct alphabetic characters are statistically different from each other at <span class="html-italic">p</span> &lt; 0.05, calculated using a one-way ANOVA, followed by an LSD test.</p>
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26 pages, 1048 KiB  
Article
Evaluation of Microplastic Toxicity in Drinking Water Using Different Test Systems
by Natalya S. Salikova, Anna V. Lovinskaya, Saule Zh. Kolumbayeva, Ainash U. Bektemissova, Saltanat E. Urazbayeva, María-Elena Rodrigo-Clavero and Javier Rodrigo-Ilarri
Water 2024, 16(22), 3250; https://doi.org/10.3390/w16223250 - 12 Nov 2024
Viewed by 529
Abstract
Microplastic pollution poses a significant threat to environmental and human health. This study investigated the toxicological and genotoxic effects of various microplastic types (polystyrene (PS), polyethylene terephthalate (PET), polypropylene (PP), and polyethylene (PE)) on plant and animal models. Aqueous extracts of microplastics in [...] Read more.
Microplastic pollution poses a significant threat to environmental and human health. This study investigated the toxicological and genotoxic effects of various microplastic types (polystyrene (PS), polyethylene terephthalate (PET), polypropylene (PP), and polyethylene (PE)) on plant and animal models. Aqueous extracts of microplastics in different size fractions (0.175 mm, 0.3 mm, 1 mm, 2 mm, and 3 mm) were evaluated for their impact on barley seed germination and cell division. Results indicated that smaller microplastic fractions exhibited higher toxicity, particularly for PP and PE. Significant reductions in germination rates and root growth were observed, along with increased chromosomal aberrations in barley cells. Furthermore, the migration of formaldehyde, a known toxicant, from microplastics exceeded permissible limits. These findings highlight the potential risks associated with microplastic pollution, particularly in drinking water sources. Future research should focus on the long-term health impacts of microplastic exposure, including carcinogenic potential, and explore the synergistic effects with other pollutants. Stricter regulations on microplastic pollution and advancements in water treatment technologies are urgently needed to mitigate these risks. Full article
(This article belongs to the Topic Microplastics Pollution)
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<p>Schematic diagram of (<b>a</b>) analysis of phytotoxicity and (<b>b</b>) mutagenic activity of microplastic extracts.</p>
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<p>Chromosomal and genomic abnormalities in root germ meristem cells of <span class="html-italic">Hordeum vulgare</span> L. induced by PS, PET, PP, and PE of fractions 0.175 mm, 0.3 mm, 1.0 mm, 2.0 mm, and 3.0 mm.</p>
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38 pages, 5296 KiB  
Review
Recent Updates on the Secondary Metabolites from Fusarium Fungi and Their Biological Activities (Covering 2019 to 2024)
by Prosper Amuzu, Xiaoqian Pan, Xuwen Hou, Jiahang Sun, Muhammad Abubakar Jakada, Eromosele Odigie, Dan Xu, Daowan Lai and Ligang Zhou
J. Fungi 2024, 10(11), 778; https://doi.org/10.3390/jof10110778 - 9 Nov 2024
Viewed by 478
Abstract
Fusarium species are commonly found in soil, water, plants, and animals. A variety of secondary metabolites with multiple biological activities have been recently isolated from Fusarium species, making Fusarium fungi a treasure trove of bioactive compounds. This mini-review comprehensively highlights the newly isolated [...] Read more.
Fusarium species are commonly found in soil, water, plants, and animals. A variety of secondary metabolites with multiple biological activities have been recently isolated from Fusarium species, making Fusarium fungi a treasure trove of bioactive compounds. This mini-review comprehensively highlights the newly isolated secondary metabolites produced by Fusarium species and their various biological activities reported from 2019 to October 2024. About 276 novel metabolites were revealed from at least 21 Fusarium species in this period. The main metabolites were nitrogen-containing compounds, polyketides, terpenoids, steroids, and phenolics. The Fusarium species mostly belonged to plant endophytic, plant pathogenic, soil-derived, and marine-derived fungi. The metabolites mainly displayed antibacterial, antifungal, phytotoxic, antimalarial, anti-inflammatory, and cytotoxic activities, suggesting their medicinal and agricultural applications. This mini-review aims to increase the diversity of Fusarium metabolites and their biological activities in order to accelerate their development and applications. Full article
(This article belongs to the Section Fungal Cell Biology, Metabolism and Physiology)
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<p>Structures of the amines (<b>1</b>–<b>4</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the amides (<b>5</b>–<b>35</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the amides (<b>5</b>–<b>35</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the cyclic peptides (<b>36</b>–<b>51</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the cyclic peptides (<b>36</b>–<b>51</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the pyridines (<b>52</b>–<b>58</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the pyridines (<b>59</b>–<b>62</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the indole analogs (<b>63</b>–<b>77</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the imidazole analogs (<b>78</b>–<b>94</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the other nitrogen-containing metabolites (<b>95</b>–<b>97</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the α-pyrones (<b>98</b>–<b>122</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the α-pyrones (<b>98</b>–<b>122</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the γ-pyrones (<b>123</b>–<b>132</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the furanones (<b>133</b>–<b>154</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the furanones (<b>133</b>–<b>154</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the quinones (<b>155</b>–<b>165</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the quinones (<b>155</b>–<b>165</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the other polyketides (<b>166</b>–<b>190</b> and <b>193</b>–<b>207</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
Full article ">Figure 13 Cont.
<p>Structures of the other polyketides (<b>166</b>–<b>190</b> and <b>193</b>–<b>207</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
Full article ">Figure 13 Cont.
<p>Structures of the other polyketides (<b>166</b>–<b>190</b> and <b>193</b>–<b>207</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the sesquiterpenoids (<b>208</b>–<b>248</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the sesquiterpenoids (<b>208</b>–<b>248</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the sesquiterpenoids (<b>208</b>–<b>248</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the diterpenoids (<b>249</b>–<b>260</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the triterpenoids (<b>261</b> and <b>262</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the other terpenoids (<b>263</b>–<b>265</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the steroids (<b>266</b>–<b>273</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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<p>Structures of the phenolic metabolites (<b>274</b>–<b>276</b>) isolated from <span class="html-italic">Fusarium</span> fungi.</p>
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17 pages, 3396 KiB  
Article
Ecotoxicological Impact of Cigarette Butts on Coastal Ecosystems: The Case of Marbella Beach, Chile
by René A. Garrido Lazo, Raydel Manrique Suárez, María F. Bravo Guerra, Constanza C. Soto Silva, Jaime Pizarro Konczak and Claudia Ortiz Calderón
Sustainability 2024, 16(22), 9778; https://doi.org/10.3390/su16229778 - 9 Nov 2024
Viewed by 684
Abstract
Cigarette butts (CBs) are a major source of persistent pollution in coastal ecosystems, introducing harmful chemicals and microplastics into the environment. This study assesses the ecotoxicological impact of CB leachates on Marbella Beach, Chile, by analyzing the metal contamination and its phytotoxic effects [...] Read more.
Cigarette butts (CBs) are a major source of persistent pollution in coastal ecosystems, introducing harmful chemicals and microplastics into the environment. This study assesses the ecotoxicological impact of CB leachates on Marbella Beach, Chile, by analyzing the metal contamination and its phytotoxic effects on Lactuca sativa and Lolium perenne. Three scenarios were evaluated: CBs alone, CBs mixed with sand, and sand alone. Leachate analysis revealed significant concentrations of iron and zinc, with higher toxicity observed in scenarios involving CBs. Ecotoxicological assays demonstrated that cigarette butt leachates severely inhibited seed germination and plant growth, particularly in Lactuca sativa, which showed greater sensitivity compared to that of Lolium perenne. The results underscore the partial mitigating role of sand, although it was insufficient to prevent the toxic effects of CBs. The persistence of cellulose acetate in the environment and the continued release of hazardous chemicals highlight the ecological risks posed by cigarette butt pollution. These findings emphasize the need for improved waste management strategies and the development of biodegradable cigarette filters to reduce environmental contamination in coastal areas. Full article
(This article belongs to the Section Pollution Prevention, Mitigation and Sustainability)
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<p>Distribution of waste in Chilean coastal areas, according to Ocean Conservancy’s 2019 report [<a href="#B5-sustainability-16-09778" class="html-bibr">5</a>].</p>
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<p>Geographical location of Marbella Beach, Santo Domingo, Valparaiso Region, Chile.</p>
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<p>Schematic of the experimental setup.</p>
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<p>Schematic of water toxicity test procedure using <span class="html-italic">Lactuca sativa</span> and <span class="html-italic">Lolium perenne</span> seed.</p>
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<p>Microscopic images of samples from the different scenarios analyzed: (<b>A</b>) cigarette butt, (<b>B</b>) sand, and (<b>C</b>) cigarette butt + sand.</p>
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<p>pH analysis over time of the leachates in the different scenarios: CBs, CBs + sand, and sand alone. The results represent the mean of measurements performed in triplicate, with standard deviation values below 2%.</p>
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<p>FTIR spectra of samples from the scenarios compared with that of raw cellulose acetate [<a href="#B30-sustainability-16-09778" class="html-bibr">30</a>].</p>
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<p>Concentrations of iron (<b>A</b>) and zinc (<b>B</b>) in the leachates from the three analyzed scenarios.</p>
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<p>Relative germination percentage (RGP), germination index (GI), relative radicle growth (RRG), and relative hypocotyl growth (RHG) for the different scenarios. Statistical analyses were conducted using ANOVA and Tukey’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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17 pages, 849 KiB  
Article
The Evaluation of Compost Maturity and Ammonium Toxicity Using Different Plant Species in a Germination Test
by Zdenko Lončarić, Vlatko Galić, Franjo Nemet, Katarina Perić, Lucija Galić, Péter Ragályi, Nikolett Uzinger and Márk Rékási
Agronomy 2024, 14(11), 2636; https://doi.org/10.3390/agronomy14112636 - 8 Nov 2024
Viewed by 494
Abstract
The determination of the maturity of compost and other organic fertilizers is very important because of possible phytotoxic or phytostimulating effects. The maturity of compost can be assessed on the basis of chemical analyses, and a germination test with different test plants is [...] Read more.
The determination of the maturity of compost and other organic fertilizers is very important because of possible phytotoxic or phytostimulating effects. The maturity of compost can be assessed on the basis of chemical analyses, and a germination test with different test plants is most often used to determine phytotoxicity. In this research, the maturity of compost produced from the plant residues subsequent to the maintenance of green public areas was assessed using the results of chemical analyses. Simultaneously, a germination test was carried out with the four test plant species (cucumber, garden cress, triticale, and barley) to determine the phytotoxicity of compost extract in a ratio of 1:2.5 v/v (1:3.3 w/v) and 1:10 v/v (1:13.3 w/v) and the three ammonium N solutions (in the concentrations of 200, 400, and 600 mg/L NH4-N). According to the chemical properties of compost (primarily the C/N, NH4-N/NO3-N ratios, and the NH4-N concentration) and the germination test with cucumber and garden cress, we may conclude that the tested compost was mature and that we did not expect a phytotoxic effect. The choice of a plant is very significant because the germination test with a compost extract demonstrated an undoubted phytostimulating effect on the garden cress and cucumber, with a more pronounced phytostimulating effect of the 1:10 than that of the 1:2.5 v/v compost extract. No such effect was detected on the monocotyledonous test plants triticale and barley since the 1:10 v/v extract had no significant effect, and the 1:2.5 v/v extract had a phytotoxic effect, moderate on the triticale and high on barley. The conclusion is that garden cress and cucumber are suitable test plants for the determination of compost’s phytostimulative effect, but they are not suitable for the determination of phytotoxicity for monocotyledonous plants, especially if the cause of phytotoxicity is a non-ammonium component. Barley is the most suitable species for the determination of compost’s non-ammonium phytotoxicity and nitrogen’s ammonium-form phytostimulative or phytotoxic effect. It would be very useful to conduct a comparative germination test with the compost extracts in the ratios 1:2.5 and 1:10, whereby the 1:2.5 extract would be used as a test of phytotoxicity, and the 1:10 extract for the test of a phytostimulating effect. Full article
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<p>A comparison of the GI using the compost extracts or ammonium solutions.</p>
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<p>The results of principal component analysis (PCA).</p>
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19 pages, 4442 KiB  
Article
Phytotoxicity Assessment of Agro-Industrial Waste and Its Biochar: Germination Bioassay in Four Horticultural Species
by Romina Zabaleta, Eliana Sánchez, Ana Laura Navas, Viviana Fernández, Anabel Fernandez, Daniela Zalazar-García, María Paula Fabani, Germán Mazza and Rosa Rodriguez
Agronomy 2024, 14(11), 2573; https://doi.org/10.3390/agronomy14112573 - 1 Nov 2024
Viewed by 570
Abstract
This study investigated the phytotoxicity of agro-industrial wastes (almond, walnut, pistachio and peanut shells, asparagus spears, and brewer’s spent grain) and their biochar through germination bioassays in several horticultural species: green pea, lettuce, radish, and arugula. Biowaste was pyrolyzed under controlled conditions to [...] Read more.
This study investigated the phytotoxicity of agro-industrial wastes (almond, walnut, pistachio and peanut shells, asparagus spears, and brewer’s spent grain) and their biochar through germination bioassays in several horticultural species: green pea, lettuce, radish, and arugula. Biowaste was pyrolyzed under controlled conditions to produce biochar, and both biowaste and biochar were characterized. Germination bioassay was conducted using seeds exposed to different dilutions of aqueous extract of biowaste and their biochar (0, 50, and 100%). Germination percentage, seed vigor, germination index, and root and aerial lengths were evaluated. The results showed that the phytotoxicity of the biowaste was significantly different to that of its biochar. The biochar obtained demonstrated changing effects on germination and seedling growth. In particular, biochar extracts from spent brewers grains, walnut shells, and pistachio shells showed 5–14% increases in seed vigor and root and aerial length. Furthermore, the response of different species to both agro-industrial waste and biochar revealed species-specific sensitivity. Seeds of lettuce and arugula species were more sensitive to aqueous extracts than radish and green peas. This knowledge not only elucidates the behavior of agro-industrial waste-based biochar in the early stage of plant development but also provides valuable insights regarding phytotoxicity, seed sensitivity, and the variables involved in germination. Full article
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<p>Logic diagram, a methodological scheme of the germination bioassay in horticultural species: evaluation of biowaste and biochar.</p>
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<p>Biowastes: (<b>a</b>) Alm, (<b>b</b>) Wal, (<b>c</b>) Pea, (<b>d</b>) Pis, (<b>e</b>) Asp, and (<b>f</b>) Bre.</p>
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<p>Biochars: (<b>a</b>) AlmB, (<b>b</b>) WalB, (<b>c</b>) PeaB, (<b>d</b>) PisB, (<b>e</b>) AspB, and (<b>f</b>) BreB.</p>
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<p>Photographs taken at the end of the Petri dish assay. Horticultural seeds emerging in control extract: (<b>a</b>) <span class="html-italic">Lactuca sativa</span>, (<b>b</b>) <span class="html-italic">Eruca sativa</span>, (<b>c</b>) <span class="html-italic">Raphanus sativus</span>, and (<b>d</b>) <span class="html-italic">Pisum sativum</span>.</p>
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<p>Relationships between biomass and biochar types and control and their influence of variables (GI, GP, SV, AL, and RL) with discriminatory potential through a multivariate statistical procedure, such as linear discriminant analysis (LDA).</p>
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<p>Relationships between types of seeds and their influence on variables with discriminatory potential through a multivariate statistical procedure, such as linear discriminant analysis (LDA). GI (germination index), GP (germination percentage), SV (seed vigor), AL (aerial length) and RL (root length).</p>
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18 pages, 11330 KiB  
Article
Combined Toxicity of Multi-Walled Carbon Nanotubes and Cu2+ on the Growth of Ryegrass: Effect of Surface Modification, Dose, and Exposure Time Pattern
by Wenwen Xie, Cheng Peng, Weiping Wang, Xiaoyi Chen, Jiaqi Tan and Wei Zhang
Nanomaterials 2024, 14(21), 1746; https://doi.org/10.3390/nano14211746 - 30 Oct 2024
Viewed by 430
Abstract
The escalating release of multi-walled carbon nanotubes (MWCNTs) into the environment has raised concerns due to their potential ecotoxicological impacts. However, their combined phytotoxicity with heavy metals such as copper (Cu) is still unclear. This study investigated the individual and combined toxic effects [...] Read more.
The escalating release of multi-walled carbon nanotubes (MWCNTs) into the environment has raised concerns due to their potential ecotoxicological impacts. However, their combined phytotoxicity with heavy metals such as copper (Cu) is still unclear. This study investigated the individual and combined toxic effects of MWCNTs (MWCNT, MWCNT-OH, and MWCNT-COOH) and Cu2+ on ryegrass (Lolium multiflorum), uniquely considering different addition orders. The results show that Cu severely inhibited the growth of ryegrass while MWCNTs exhibited a hormesis effect on ryegrass. When MWCNT and Cu were combined, the malondialdehyde (MDA) content in ryegrass showed a 32.39% increase at 20 mg/L MWCNT exposure, suggesting reduced oxidative stress. However, at the higher concentration of 1000 mg/L, it led to a significant 75.22% reduction in ryegrass biomass. MWCNT-COOH had the most pronounced effect, reducing the total chlorophyll content by 39.76% compared to unmodified MWCNT and by 10.67% compared to MWCNT-OH (500 mg/L). Additionally, pre-induced MWCNTs might alleviate the Cu in the plant by 23.08–35.38% through adsorption in the nutrient solution. Small molecule organic acids and amino acids primarily mediated the response to environmental stress in ryegrass. This research provides crucial insights into understanding the complex interactions of MWCNT and Cu2+ and their combined effects on plant ecosystems. Full article
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<p>Effects of MWCNT-COOH, MWCNT-OH, and unmodified MWCNT on the dry weight (<b>a</b>), chlorophyll a content (<b>b</b>), chlorophyll b content (<b>c</b>) total chlorophyll content (<b>d</b>), and MDA content (<b>e</b>) of ryegrass (Different letters denote significant differences (<span class="html-italic">p</span> &lt; 0.05) across treatments at the same concentration, as revealed using one-way analysis of variance (ANOVA) followed by the Tukey’s post hoc test, the same as follows).</p>
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<p>The combined effect of different MWCNT concentrations on dry weight, showing the relationship between biomass and cultivation time exposure time patterns: (<b>a</b>) unmodified MWCNT; (<b>b</b>) MWCNTCOOH. Comparison of the effects of MWCNTs addition time pattern on the dry weight of ryegrass with the exposure days: (<b>c</b>) unmodified MWCNT; (<b>d</b>) MWCNTCOOH. The dashed line represents the value of the control group (treated without MWCNTs and Cu<sup>2+</sup>). Different letters denote significant differences (<span class="html-italic">p</span> &lt; 0.05) across treatments at the same concentration, as revealed using one-way analysis of variance (ANOVA) followed by the Tukey’s post hoc test.</p>
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<p>Impact of MWCNT concentration under combined effects on total chlorophyll content: (<b>a</b>) unmodified MWCNT, (<b>b</b>) MWCNTCOOH. Comparison of the effects of MWCNTs addition time pattern on the total chlorophyll content with the exposure days: (<b>c</b>) unmodified MWCNT, (<b>d</b>) MWCNTCOOH. The dotted line represents the value of the control group (treated with only Cu<sup>2+</sup> and without MWCNT). The dashed line represents the value of the Cu<sup>2+</sup>-alone group (treated without MWCNT and Cu<sup>2+</sup>). Different letters denote significant differences (<span class="html-italic">p</span> &lt; 0.05) across treatments at the same concentration, as revealed using one-way analysis of variance (ANOVA) followed by the Duncan’s post hoc test.</p>
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<p>Impact of MWCNT concentration under combined effects on MDA content: (<b>a</b>) unmodified MWCNT, (<b>b</b>) MWCNTCOOH. Comparison of the effects of MWCNTs addition time pattern on the MDA content with the exposure days: (<b>c</b>) unmodified MWCNT, (<b>d</b>) MWCNTCOOH. The dashed line represents the value of the control group, which was treated without MWCNT and Cu<sup>2+</sup>. The dotted line represents the value of the group, which was treated with only Cu<sup>2+</sup> and without MWCNT (Different letters denote significant differences (<span class="html-italic">p</span> &lt; 0.05) across treatments at the same concentration, as revealed using one-way analysis of variance (ANOVA) followed by the Tukey’s post hoc test).</p>
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<p>Comparison of the effects of MWCNT concentration on the Cu<sup>2+</sup> adsorption on root: (<b>a</b>) unmodified MWCNT; (<b>b</b>) MWCNTCOOH. Comparison of the effects of MWCNTs addition time pattern on the ryegrass root uptake of Cu<sup>2+</sup> with the exposure days: (<b>c</b>) unmodified MWCNT; (<b>d</b>) MWCNTCOOH. The dashed line represents the value of the group treated with only Cu<sup>2+</sup> and without MWCNT (Different letters denote the significant difference (<span class="html-italic">p</span> &lt; 0.05) across treatments at the same concentration, as revealed using one-way analysis of variance (ANOVA) followed by the Tukey’s post hoc test).</p>
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<p>The impact of MWCNTs at varying concentrations on the level of Cu<sup>2+</sup> in a copper-enriched nutrient solution: (<b>a</b>) unmodified MWCNT; (<b>b</b>) MWCNT-COOH. Infrared spectra comparison of different MWCNTs introduced at different time points: (<b>c</b>) unmodified MWCNT; (<b>d</b>) MWCNT-COOH.</p>
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11 pages, 3074 KiB  
Article
The Mitigating Effects of Perilla Leaf Essential Oil on the Phytotoxicity of Fenoxaprop-P-Ethyl in Rice Seedlings
by Jiuying Li, Yinghui Zhu, Lanlan Sun, Hongle Xu, Wangcang Su, Fei Xue, Chuantao Lu, Wenwei Tang and Renhai Wu
Plants 2024, 13(20), 2946; https://doi.org/10.3390/plants13202946 - 21 Oct 2024
Viewed by 869
Abstract
Fenoxaprop-P-ethyl (FE) can effectively control weeds in rice fields, but it has been found to cause phytotoxicity in rice. In this study, the phytotoxicity of FE was mitigated by perilla leaf essential oil (PEO) in rice seedlings. The injury recovery rates (IRRs) for [...] Read more.
Fenoxaprop-P-ethyl (FE) can effectively control weeds in rice fields, but it has been found to cause phytotoxicity in rice. In this study, the phytotoxicity of FE was mitigated by perilla leaf essential oil (PEO) in rice seedlings. The injury recovery rates (IRRs) for shoot length and fresh weight treated with 800 mg/L of PEO were 101.51% and 99.05%, respectively. Moreover, the damage of s-metolachlor and pretilachlor was also alleviated when co-applied with 800 mg/L PEO; the IRR of s-metolachlor phytotoxicity was 26.07% and 27.34%, respectively, and the IRR of pretilachlor phytotoxicity was 127.27% and 124.39%, respectively. However, PEO had no significant effect on the phytotoxicity of pinoxaden, mesotrione, penoxsulam, mesosulfuron-methyl, and nicosulfuron. The results of GC–MS analysis showed that a total of 23 components were detected in PEO, among which linalool (36.49%), linalyl formate (26.96%), α-terpineol (10.63%), 2-hexanoylfuran (5.81%), geranyl acetate (4.13%), and neryl acetate (2.30%) were the primary components. Among them, 2-hexanoylfuran was the most effective component to alleviate FE damage, for which the IRR of shoot length and fresh weight was 73.17% and 73.02%, respectively, followed by the geranyl acetate, for which the IRR was 72.32% and 60.56%, respectively, and neryl acetate, for which the IRR was 65.28% and 58.11%, respectively. Furthermore, the application of 50 mg/L of 2-hexanofuran significantly improved the tolerance of shoot length and fresh weight to FE stress by factors of 5.32 and 5.35, respectively. This research demonstrates that PEO and 2-hexanoylfuran have the potential to serve as natural safeners to reduce phytotoxicity. Full article
(This article belongs to the Topic Research on Natural Products of Medical Plants)
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<p>The structural formulas of the main substances of PEO. (<b>A</b>) Linalool; (<b>B</b>) Linalyl formate; (<b>C</b>) α-Terpineol; (<b>D</b>) 2-Hexanoylfuran; (<b>E</b>) Geranyl acetate; (<b>F</b>) Neryl acetate.</p>
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<p>(<b>A</b>) Growth of rice seedlings under different treatments at 7 d. (<b>B</b>) Effects on rice shoot length and fresh weight of different treatments. (<b>C</b>) The growth inhibition rate (GIR) of shoot length and fresh weight of different treatments. (<b>D</b>) The injury recovery rate (IRR) of shoot length and fresh weight of different treatments, where FE is 0.8 mg/L, PEO<sub>1</sub>, PEO<sub>2</sub>, and PEO<sub>3</sub> are 200, 400, and 800 mg/L perilla leaf essential oil (PEO), respectively. For each treatment, the means (±SE; <span class="html-italic">n</span> = 3) that are accompanied by distinct letters indicate a statistically significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The mitigation activity of PEO against the phytotoxicity of seven herbicides. (<b>A</b>) PEO (800 mg/L) alone. (<b>B</b>) <span class="html-italic">s</span>-Metolachlor (30 mg/L). (<b>C</b>) Pretilachlor (1000 mg/L). (<b>D</b>) Pinoxaden (0.4 mg/L). (<b>E</b>) Mesotrione (400 mg/L). (<b>F</b>) Penoxsulam (200 mg/L). (<b>G</b>) Mesosulfuron-methyl (4 mg/L). (<b>H</b>) Nicosulfuron (5 mg/L). There were three treatment groups in B-I: CK, herbicide alone, and herbicide combined with 800 mg/L PEO treatment. For each treatment, the means (±SE; <span class="html-italic">n</span> = 3) that are accompanied by distinct letters indicate a statistically significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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13 pages, 1548 KiB  
Article
The Preventive and Curative Potential of Morinda citrifolia Essential Oil for Controlling Anthracnose in Cassava Plants: Fungitoxicity, Phytotoxicity and Target Site
by Jossimara F. Damascena, Luis O. Viteri, Matheus H. P. Souza, Raimundo W. Aguiar, Marcos P. Camara, Wellington S. Moura, Eugênio E. Oliveira and Gil R. Santos
Stresses 2024, 4(4), 663-675; https://doi.org/10.3390/stresses4040042 - 17 Oct 2024
Viewed by 569
Abstract
Controlling anthracnose in crops usually depends on synthetic chemicals, but essential oils offer a promising alternative with a potentially lower risk to human health and the environment. This study examines the use of noni (Morinda citrifolia L.) essential oil for preventive and [...] Read more.
Controlling anthracnose in crops usually depends on synthetic chemicals, but essential oils offer a promising alternative with a potentially lower risk to human health and the environment. This study examines the use of noni (Morinda citrifolia L.) essential oil for preventive and curative control of anthracnose in cassava plants. Extracted from ripe noni fruit, the oil was tested at concentrations of 0.1, 0.5, 1.0, 1.5, 2.0, 2.5, and 5.0 µL/mL for its antifungal properties against Colletotrichum species isolated from cassava. We applied the oil both preventively and curatively, monitoring for phytotoxic effects. Phytochemical analysis revealed that the main compounds were octanoic acid (64.03%), hexanoic acid (10.16%), and butanoic acid (8.64%). The oil effectively inhibited C. chrysophillum and C. musicola at 2.0 µL/mL, while C. truncatum required 5.0 µL/mL for significant inhibition. Higher concentrations reduced disease progression but showed phytotoxicity at only 5 µL/mL. Molecular docking suggested that octanoic acid interacts with the fungi’s tyrosine-tRNA ligase enzyme, hinting at its mechanism of action. Collectively, our findings reinforce the potential of noni essential oil as an alternative agent against Colletotrichum spp. in cassava crops. Full article
(This article belongs to the Collection Feature Papers in Plant and Photoautotrophic Stresses)
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<p>Mycelial growth over time of <span class="html-italic">Colletotrichum chrysophilum</span> (<b>A</b>), <span class="html-italic">Colletotrichum musicola</span> (<b>B</b>), and <span class="html-italic">Colletotrichum truncatum</span> (<b>C</b>) in response to varying concentrations of <span class="html-italic">Morinda citrifolia</span> essential oil.</p>
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<p>Area under the progress curve (AACPD) of cassava anthracnose, caused by <span class="html-italic">Colletotrichum chrysophilum</span>, using different concentrations of <span class="html-italic">Morinda citrifolia</span> essential oil in preventive (<b>A</b>) and curative (<b>B</b>) applications.</p>
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<p>Octanoic acid (red) complexed with tyrosine-tRNA ligase (<b>A</b>) and a 2D map of molecular interactions with amino acids in target active sites (yellow) (<b>B</b>) of <span class="html-italic">Glomerella cingulata</span>.</p>
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19 pages, 5186 KiB  
Article
Development of Natural Fungicidal Agricultural Defensives Using Microbial Glycolipid and Vegetable Oil Blends
by Anderson O. de Medeiros, Maria da Gloria C. da Silva, Attilio Converti, Fabiola Carolina G. de Almeida and Leonie A. Sarubbo
Surfaces 2024, 7(4), 879-897; https://doi.org/10.3390/surfaces7040058 - 16 Oct 2024
Viewed by 593
Abstract
The use of pesticides causes significant environmental problems, which drives the search for natural and non-toxic alternatives. In this study, a glycolipid biosurfactant (BS), produced by the yeast Starmerella bombicola ATCC 22214, was utilized as an active ingredient in natural agricultural defensive blends. [...] Read more.
The use of pesticides causes significant environmental problems, which drives the search for natural and non-toxic alternatives. In this study, a glycolipid biosurfactant (BS), produced by the yeast Starmerella bombicola ATCC 22214, was utilized as an active ingredient in natural agricultural defensive blends. The mixtures were tested for their fungicidal potential against phytopathogenic fungi isolated from fruits such as papaya, orange, and banana, demonstrating strong inhibition of fungal growth. The genera Penicillium, Colletotrichum, and Aspergillus were the pathogens present in the deterioration of the fruits used in the experiment. The biosurfactant was produced in a fermenter, yielding 10 g/L and reducing the surface tension to 31.56 mN/m, with a critical micelle concentration (CMC) of 366 mg/L. Blends of BS with oleic acid (T1) and lemongrass oil (T2) were found to be effective in controlling fungi. Additionally, the phytotoxicity of these formulations was assessed using Cucumis anguria (gherkin) seeds, where the blend of BS with castor oil (T4) showed the best performance, promoting seed germination. These results indicate the potential of such mixtures as natural alternatives for fungal control in plants and for application in sustainable agricultural systems. Full article
(This article belongs to the Collection Featured Articles for Surfaces)
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<p>Results of the critical micelle concentration of the glycolipid biosurfactant produced by <span class="html-italic">Starmerella bombicola</span> ATCC 22214.</p>
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<p>Results of TLC chromatogram showing the separation of components of glycolipid biosurfactant produced by <span class="html-italic">Starmerella bombicola</span> ATCC 22214.</p>
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<p>Antifungal activity of the tested agricultural biodefensive blends against at least three different filamentous fungi isolated from contaminated fruits (papaya, orange, and banana). The results presented in this figure demonstrate the general and/or partial inhibition of fungal growth on Petri dishes after treatment with different formulations. Blends T1 (biosurfactant + oleic acid) and T2 (biosurfactant + lemongrass oil) exhibited strong antifungal activity, significantly reducing the growth of all tested fungi. In contrast, T3 (biosurfactant + tea tree oil) and T4 (biosurfactant + castor oil) allowed partial fungal growth, while T5 (biosurfactant + neem oil) and T6 (commercial neem) showed varying degrees of inhibition. Control samples (T7, distilled water and T8, biosurfactant) displayed no inhibition, with fungal species growing abundantly. These observations indicate the potential of T1 and T2 as effective natural fungicidal formulations.</p>
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<p>Results of phytotoxicity test on <span class="html-italic">Cucumis anguria</span> (gherkin) seeds 5 days after treatment with the tested agricultural biodefensive blends. T1 = biosurfactant + oleic acid + distilled water, T2 = biosurfactant + lemongrass oil + distilled water, T3 = biosurfactant + tea tree oil + distilled water, T4 = biosurfactant + castor oil + distilled water, T5 = biosurfactant + commercial neem, T6 = commercial neem, T7 = distilled water, and T8 = biosurfactant + distilled water. The arrows point to the seeds that suffered inhibition in the presence of the evaluated formulation.</p>
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<p>Germination index of <span class="html-italic">Cucumis anguria</span> (gherkin) seeds in Petri dishes after treatment with the tested agricultural biodefensive blends. T1 = biosurfactant + oleic acid + distilled water, T2 = biosurfactant + lemongrass oil + distilled water, T3 = biosurfactant + tea tree oil + distilled water, T4 = biosurfactant + castor oil + distilled water, T5 = biosurfactant + commercial neem, T6 = commercial neem, T7 = distilled water, and T8 = biosurfactant + distilled water. Different letters indicate significantly different values according to the least significant difference test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Evaluation of the germination and growth of <span class="html-italic">Cucumis anguria</span> (gherkin) in a seedbed in the presence of a light source. Photographs were taken before (0 h) and after (120 h) treatment with the tested agricultural biodefensive blends. T1 = biosurfactant + oleic acid + distilled water, T2 = biosurfactant + lemongrass oil + distilled water, T3 = biosurfactant + tea tree oil + distilled water, T4 = biosurfactant + castor oil + distilled water, T5 = biosurfactant + commercial neem, T6 = commercial neem, T7 = distilled water, and T8 = biosurfactant + distilled water.</p>
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<p>Germination index of <span class="html-italic">Cucumis anguria</span> (gherkin) seeds in seedbeds after treatment with the tested agricultural biodefensive blends. T1 = biosurfactant + oleic acid + distilled water, T2 = biosurfactant + lemongrass oil + distilled water, T3 = biosurfactant + tea tree oil + distilled water, T4 = biosurfactant + castor oil + distilled water, T5 = biosurfactant + commercial neem, T6 = commercial neem, T7 = distilled water, and T8 = biosurfactant + distilled water. Different letters indicate significantly different values according to the least significant difference test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Procedure for measuring the spreading (scattering diameter) of a 40 µL volume of agricultural biodefensives on a paraffin sheet. T1 = biosurfactant + oleic acid + distilled water, T2 = biosurfactant + lemongrass oil + distilled water, T3 = biosurfactant + tea tree oil + distilled water, T4 = biosurfactant + castor oil + distilled water, T5 = biosurfactant + commercial neem, T6 = commercial neem, T7 = distilled water, and T8 = biosurfactant + distilled water. The values of the dispersion capacity, expressed as drop diameter measured with a digital caliper, are indicated in the figure.</p>
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<p>Dispersion percentages for the tested agricultural biodefensive blends. T1 = biosurfactant + oleic acid + distilled water, T2 = biosurfactant + lemongrass oil + distilled water, T3 = biosurfactant + tea tree oil + distilled water, T4 = biosurfactant + castor oil + distilled water, T5 = biosurfactant + commercial neem, T6 = commercial neem, T7 = distilled water, and T8 = biosurfactant + distilled water. Different letters indicate significantly different values according to the least significant difference test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Result of the post-harvest shelf-life test on <span class="html-italic">Lactuca sativa</span> var. <span class="html-italic">capitata</span> (lettuce) leaves before (0 h) and after (72 h) treatment with the tested agricultural biodefensive blends. T1 = biosurfactant + oleic acid + distilled water, T2 = biosurfactant + lemongrass oil + distilled water, T3 = biosurfactant + tea tree oil + distilled water, T4 = biosurfactant + castor oil + distilled water, T5 = biosurfactant + commercial neem, T6 = commercial neem, T7 = distilled water and T8 = biosurfactant + distilled water. The arrows indicate points of injury possibly caused by the components of the formulation.</p>
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12 pages, 2556 KiB  
Article
Circular Utilization of Coffee Grounds as a Bio-Nutrient through Microbial Transformation for Leafy Vegetables
by Hasan Ozer, Naime Ozdemir, Asude Ates, Rabia Koklu, Sinem Ozturk Erdem and Saim Ozdemir
Life 2024, 14(10), 1299; https://doi.org/10.3390/life14101299 - 14 Oct 2024
Viewed by 1138
Abstract
This study explores the production of bio-nutrients from bioactive compound-rich spent coffee grounds (SCG) and biochar (BC) through composting after inoculation with a biological agent and its impact on the growth performance of garden cress and spinach. The SCG was composted with six [...] Read more.
This study explores the production of bio-nutrients from bioactive compound-rich spent coffee grounds (SCG) and biochar (BC) through composting after inoculation with a biological agent and its impact on the growth performance of garden cress and spinach. The SCG was composted with six doses of BC (0, 5, 10, 15, 20, and 25%). The compost with 10% BC exhibited the best maturity, humification, and phytotoxicity index values of dissolved organic carbon (DOC), humification index (E4/E6), and germination index (GI). A metagenome analysis showed that compost starter enhanced the bacterial community’s relative abundance, richness, and diversity in SCG and BC treatments. This improvement included increased Patescibacteria, which can break down noxious phenolic compounds found in SCG and BC. The BC enriched the compost with phosphorus and potassium while preserving the nitrogen. In plant growth experiments, the total chlorophyll content in compost-treated garden cress and spinach was 2.47 and 4.88 mg g−1, respectively, which was significantly greater (p ≤ 0.05) than in unfertilized plants and similar to the plants treated with traditional fertilizer. Overall, the results show that the compost of SCG + BC was well-suited for promoting the growth of garden cress and spinach, providing adequate nutrients as a fertilizer for these leafy vegetables. Full article
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<p>SEM image and EDS analysis of poultry litter biochar.</p>
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<p>Variations in (<b>a</b>) DOC, (<b>b</b>) pH, (<b>c</b>) E4/E6, and (<b>d</b>) GI during composting of spent coffee grounds with various levels of biochar. The red line indicates DOC’s stability boundary and GI’s phytotoxicity boundary.</p>
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<p>Effect of starter inoculation on compost bacterial community composition at the phylum level (<b>a</b>) and, alpha diversity indices (<b>b</b>) in spent coffee grounds and spent coffee grounds biochar at a 10% mixture.</p>
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<p>Chlorophyll and carotenoid contents of <span class="html-italic">L. sativum</span> (<b>a</b>) and <span class="html-italic">S. oleracea</span> (<b>b</b>) grown in increasing amounts of SCG + BC compost. Values are means for triplicate samples. Different lowercase letters on the histogram of the same color indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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16 pages, 2674 KiB  
Article
Ginger Phytotoxicity: Potential Efficacy of Extracts, Metabolites and Derivatives for Weed Control
by Jesús G. Zorrilla, Carlos Rial, Miriam I. Martínez-González, José M. G. Molinillo, Francisco A. Macías and Rosa M. Varela
Agronomy 2024, 14(10), 2353; https://doi.org/10.3390/agronomy14102353 - 12 Oct 2024
Viewed by 603
Abstract
The negative implications for weeds encourage the finding of novel sources of phytotoxic agents for sustainable management. While traditional herbicides are effective, especially at large scales, the environmental impact and proliferation of resistant biotypes present major challenges that natural sources could mitigate. In [...] Read more.
The negative implications for weeds encourage the finding of novel sources of phytotoxic agents for sustainable management. While traditional herbicides are effective, especially at large scales, the environmental impact and proliferation of resistant biotypes present major challenges that natural sources could mitigate. In this study, the potential of ginger metabolites as phytotoxic agents has been investigated for the first time. Root extracts, prepared via various extraction techniques, showed phytotoxicity in wheat (Triticum aestivum L. cv. Burgos) coleoptile bioassays at 800–100 ppm, and the most active extract (prepared by sonication with ethyl acetate) was purified by chromatographic methods, yielding seven compounds: five phenolic metabolites with gingerol and shogaol structures, β-sitosterol, and linoleic acid. Some of the major phenolic metabolites, especially [6]-shogaol and [6]-gingerol, exerted phytotoxicity on wheat coleoptiles, Plantago lanceolata and Portulaca oleracea (broadleaf dicotyledon weeds). This promoted the study of a collection of derivatives, revealing that the 5-methoxy, oxime, and acetylated derivatives of [6]-shogaol and [6]-gingerol had interesting phytotoxicities, providing clues for improving the stability of the isolated structures. Ginger roots have been demonstrated to be a promising source of bioactive metabolites for weed control, offering novel materials with potential for the development of agrochemicals based on natural products. Full article
(This article belongs to the Section Weed Science and Weed Management)
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<p>Chemical structures of compounds <b>1</b>–<b>7</b> isolated from ginger roots through bio-guided purification.</p>
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<p>Chemical structures of zingerone (<b>8</b>) and the synthetic derivatives <b>9</b>–<b>13</b> prepared from [6]-shogaol or [6]-gingerol.</p>
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<p>Phytotoxicity profiles on etiolated wheat (<span class="html-italic">Triticum aestivum</span> L. cv. Burgos) coleoptile bioassay of the ginger extracts obtained by maceration in ethyl acetate (M-E), maceration in methanol (M-M), sonication in ethyl acetate (S-E), sonication in methanol (S-M), ethyl acetate extract in liquid–liquid extraction (E-E), and methanol extract in liquid–liquid extraction (E-M), and the herbicide Logran<sup>®</sup> (Syngenta, Madrid, Spain) used as a positive control. Negative values indicate inhibition vs. the negative control. Error bars represent the standard error of the mean (<span class="html-italic">n</span> = 3).</p>
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<p>Phytotoxicity profiles of the fractions (A–M) from the ethyl acetate extract obtained by sonication, in the etiolated wheat (<span class="html-italic">Triticum aestivum</span> L. cv. Burgos) coleoptile bioassay. Positive values indicate stimulation vs. the negative control, and negative values indicate inhibition. The error bars represent the standard error of the mean (<span class="html-italic">n</span> = 3).</p>
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<p>Phytotoxicity profiles obtained for the isolated compounds [6]-shogaol (<b>1</b>), [10]-shogaol (<b>2</b>), [6]-gingerol (<b>3</b>), [8]-gingerol (<b>4</b>), β-sitosterol (<b>6</b>) and linoleic acid (<b>7</b>), and the herbicide Logran<sup>®</sup> (Syngenta, Madrid, Spain) used as a positive control, in the etiolated wheat (<span class="html-italic">Triticum aestivum</span> L. cv. Burgos) coleoptile bioassay. Positive values indicate stimulation vs. the negative control, and negative values indicate inhibition. The error bars represent the standard error of the mean (<span class="html-italic">n</span> = 3).</p>
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<p>Phytotoxicity against germination and root and shoot growth of <span class="html-italic">Portulaca oleracea</span> and <span class="html-italic">Plantago lanceolata</span> weeds obtained for the isolated compounds [6]-shogaol (<b>1</b>), [10]-shogaol (<b>2</b>), [6]-gingerol (<b>3</b>), [8]-gingerol (<b>4</b>), β-sitosterol (<b>6</b>) and linoleic acid (<b>7</b>), and the active principle of the herbicide Stomp<sup>®</sup> Aqua (Tokyo Chemical Industry, Tokyo, Japan) used as a positive control in the bioassay (Her). Positive values indicate stimulation vs. the negative control, and negative values indicate inhibition. The error bars represent the standard error of the mean (<span class="html-italic">n</span> = 3). Significance levels: <span class="html-italic">p</span> &lt; 0.01 (a), or 0.01 &lt; <span class="html-italic">p</span> &lt; 0.05 (b).</p>
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<p>Phytotoxicity profiles obtained for the synthetized zingerone (<b>8</b>), the derivatives <b>9</b>–<b>13</b> prepared from [6]-shogaol (<b>1</b>) and [6]-gingerol (<b>3</b>), and the herbicide Logran<sup>®</sup> (Syngenta, Madrid, Spain) used as a positive control, in the etiolated wheat (<span class="html-italic">Triticum aestivum</span> L. cv. Burgos) coleoptile bioassay. Positive values indicate stimulation vs. the negative control, and negative values indicate inhibition. The error bars represent the standard error of the mean (<span class="html-italic">n</span> = 3).</p>
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<p>Phytotoxicity against the germination and root and shoot growth of <span class="html-italic">Portulaca oleracea</span> and <span class="html-italic">Plantago lanceolata</span> weeds obtained for the synthetized zingerone (<b>8</b>) and the derivatives <b>9</b> and <b>11</b>–<b>13</b> prepared from [6]-shogaol (<b>1</b>) and [6]-gingerol (<b>3</b>), and active principle of the herbicide Stomp<sup>®</sup> Aqua (Tokyo Chemical Industry, Tokyo, Japan) used as a positive control in the bioassay (Her). Positive values indicate stimulation vs. the negative control, and negative values indicate inhibition. The error bars represent the standard error of the mean (<span class="html-italic">n</span> = 3). Significance levels: <span class="html-italic">p</span> &lt; 0.01 (a), or 0.01 &lt; <span class="html-italic">p</span> &lt; 0.05 (b).</p>
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24 pages, 4061 KiB  
Article
Continuous Fixed Bed Bioreactor for the Degradation of Textile Dyes: Phytotoxicity Assessment
by Sonia Cherif, Hynda Rezzaz-Yazid, Salima Ayachine, Imene Toukal, Noreddine Boudechiche, Mohamed Belmedani, Hayet Djelal and Zahra Sadaoui
Processes 2024, 12(10), 2222; https://doi.org/10.3390/pr12102222 - 11 Oct 2024
Viewed by 481
Abstract
This study explores a novel bioremediation approach using a continuous upflow fixed bed bioreactor with date pedicels as a biosupport material. Date pedicels offer a dual advantage: providing microbial support and potentially acting as a biostimulant due to their inherent nutrients. This research [...] Read more.
This study explores a novel bioremediation approach using a continuous upflow fixed bed bioreactor with date pedicels as a biosupport material. Date pedicels offer a dual advantage: providing microbial support and potentially acting as a biostimulant due to their inherent nutrients. This research is divided into two phases: with and without microbial introduction. The bioreactor’s efficiency in removing two common textile dyes, RB19 and DR227, was evaluated under various conditions: fixed bed high, the effect of the initial concentration of the pollutant, and recycling the RB19 solution within the bioreactor. Optimization studies revealed an 83% removal yield of RB19 dye with an initial pollutant concentration of 100 mg·L−1 using activated sludge as inoculum. The bioreactor developed its own bacterial consortium without initial inoculation. Microscopic analysis confirmed the presence of a diverse microbial community, including protozoa (Aspidisca and Paramecium), nematodes, and diatoms. The bioreactor exhibited efficient removal of RB19 across a range of initial concentrations (20–100 mg/L) with similar removal efficiencies (around 65%). Interestingly, the removal efficiency for DR227 was concentration-dependent. The bioreactor demonstrated the ability to enhance the biodegradability of treated RB19 solutions. Phytotoxicity tests using watercress and lettuce seeds revealed no negative impacts on plant growth. SEM and FTIR analyses were conducted to examine the biosupport material before and after biotreatment. Full article
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<p>Molecular structure of the targeted dyes.</p>
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<p>Experimental device of the fixed bed bioreactor.</p>
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<p>Effect of biological support height on (<b>a</b>) degradation yield of RB19 dye; (<b>b</b>) pH variation (free pH = 7.97; initial C = 5 mg·L<sup>−1</sup>; flow rate: 0.3 L·h<sup>−1</sup>).</p>
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<p>Effect of the initial concentration of RB19 on (<b>a</b>) yield of degradation: (<b>b</b>) variation of pH, (<b>c</b>) variation of conductivity (pH (5 mg L<sup>−1</sup>) = 7.97; pH (20 mg L<sup>−1</sup>) = 8.19; pH (100 mg L<sup>−1</sup>) = 8; fixed bed height = 106.5 cm; flow rate: 0.3 L·h<sup>−1</sup>).</p>
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<p>(<b>a</b>) Evolution of the degradation yield of RB19 during the recycling of treated solutions, (<b>b</b>) evolution of the pH during the recycling of the treated solutions, and (<b>c</b>) evolution of conductivity during recycling of treated solutions (pH (100 mg·L<sup>−1</sup>) = 8; pH<sub>cycle1</sub> = 8.23; pH<sub>cycle2</sub> = 8.15; fixed bed height = 106.5 cm; flow rate: 0.3 L·h<sup>−1</sup>).</p>
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<p>Effect of initial concentration of RB19. (<b>a</b>) Evolution of the biodegradation yield of 5 mg·L<sup>−1</sup> of RB19 molecule with and without seeding. (<b>b</b>) Effect of the initial concentration of the dye. (<b>c</b>) Variation of pH. (<b>d</b>) Variation of conductivity. (pH (5 mg·L<sup>−1</sup>) = 8.2; pH (20 mg·L<sup>−1</sup>) = 7.92; fixed bed height = 36 cm; flow rate: 0.3 L·h<sup>−1</sup>.).</p>
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<p>Effect of initial concentration of RB19. (<b>a</b>) Evolution of the biodegradation yield of 5 mg·L<sup>−1</sup> of RB19 molecule with and without seeding. (<b>b</b>) Effect of the initial concentration of the dye. (<b>c</b>) Variation of pH. (<b>d</b>) Variation of conductivity. (pH (5 mg·L<sup>−1</sup>) = 8.2; pH (20 mg·L<sup>−1</sup>) = 7.92; fixed bed height = 36 cm; flow rate: 0.3 L·h<sup>−1</sup>.).</p>
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<p>Observation by inverted microscope (40×) (<b>a</b>) global image, (<b>b</b>,<b>c</b>) <span class="html-italic">Paramecium</span>, (<b>d</b>) Nematodes, (<b>e</b>) flocculated growth, (<b>f</b>) dispersed growth (final solution without seeding) (pH = 7.97; RB19 concentration = 20 mg·L<sup>−1</sup>; fixed bed height = 36 cm).</p>
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<p>Effect of initial concentration of DR227. (<b>a</b>) Degradation yield, (<b>b</b>) variation of pH, (<b>c</b>) variation of conductivity (pH (5 mg·L<sup>−1</sup>) = 8.03; pH (20 mg·L<sup>−1</sup>) = 8.02; fixed bed height = 36 cm; flow rate: 0.3 L·h<sup>−1</sup>).</p>
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<p>Germination phytotoxicity test before and after treatment (flow rate: 0.3 L·h<sup>−1</sup>). (<b>a</b>) Germination phytotoxicity test with watercress seeds. (<b>b</b>) Germination phytotoxicity test with lettuce seeds.</p>
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<p>Scanning electron microscopy of DPB (<b>a</b>,<b>b</b>) and DPA (<b>c</b>,<b>d</b>) at different magnifications.</p>
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<p>FTIR spectra of DPB (<b>a</b>) and DPA (<b>b</b>).</p>
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