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Search Results (4,015)

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24 pages, 2394 KiB  
Article
Effect of Oat Hay as a Substitute for Alfalfa Hay on the Gut Microbiome and Metabolites of Yak Calves
by Yingchao Gu, Lele An, Yanan Zhou, Guoliang Xue, Yang Jiao, Deyu Yang, Shujie Liu and Zhanhong Cui
Animals 2024, 14(22), 3329; https://doi.org/10.3390/ani14223329 - 19 Nov 2024
Abstract
To evaluate the impact of different roughages on the intestinal microbiota of yak calves, we fed them oat hay in substitution of alfalfa hay, in addition to milk replacer and starter powder. Twenty-one 45-day-old male yak calves were selected and randomly assigned to [...] Read more.
To evaluate the impact of different roughages on the intestinal microbiota of yak calves, we fed them oat hay in substitution of alfalfa hay, in addition to milk replacer and starter powder. Twenty-one 45-day-old male yak calves were selected and randomly assigned to three groups: the milk replacer + starter + alfalfa hay group (AH), the milk replacer + starter + oat hay group (OH), and the milk replacer + starter + mixed hay group (AO), in which the alfalfa hay and oat hay were administered in a 1:1 ratio. All calves in the three groups were fed the same milk replacer and an equivalent amount of dry matter. The formal experiment commenced after a 21-day pre-test period and lasted for 120 days. Following the experiment, the contents of the jejunum and colon were collected to investigate the intestinal microbiota and metabolites using 16S rRNA sequencing and LC-MS metabolomics. The result showed that the AO group had greater final body weights overall than the AH group and OH group (p < 0.05). The AH group and OH group had considerably greater feed-to-gain ratios than the AO group (p < 0.05). At the phylum level, the OH group exhibited an increased relative abundance of Bacteroidota and Spirochaetota in the jejunum (p < 0.05). The relative abundance of Actinobacteriota in the colon was increased in the AO group (p < 0.05). At the genus level, the AO group exhibited a decreased abundance of Clostridium sensu_stricto_1 (p < 0.05), and the OH group showed an increased abundance UCG-005 and Alistipes in the jejunum. There were many differential metabolites in the OH group and AO group compared to the AH group, and the different metabolites of the OH group were associated with the metabolic pathways of the nervous system, sensory system, amino acid metabolism, and lipid metabolism in the jejunum and with lipid metabolism, amino acid metabolism, and the nervous system in the colon. In the AO group, these metabolites were associated with the digestive system and the translation and metabolism of cofactors in the jejunum and with the metabolism of cofactors and vitamins in the colon. In summary, it is feasible to replace alfalfa hay with oat hay based on milk replacer and starter. The combination of the two forages enhanced nutrient absorption, improved immune function, maintained the internal homeostasis of yak calves, and was more beneficial to their growth and development. Full article
(This article belongs to the Section Animal Nutrition)
18 pages, 7512 KiB  
Article
Seasonal Dynamics and Source Apportionment of Heavy Metals in Road Dust: A Case Study of Liuzhou, China
by Lu Zhang, Jianping Qian, Jinrui Liu, Kangkang Niu and Huanrong Zhang
Sustainability 2024, 16(22), 10051; https://doi.org/10.3390/su162210051 - 18 Nov 2024
Viewed by 340
Abstract
The spatial distribution and seasonal variation in heavy metal pollution in road dust in Liuzhou, China, were investigated. Road dust samples were collected during both drought and wet periods, and the concentrations of nine heavy metals—Cr, Ni, Cu, Pb, Zn, Cd, As, Sb, [...] Read more.
The spatial distribution and seasonal variation in heavy metal pollution in road dust in Liuzhou, China, were investigated. Road dust samples were collected during both drought and wet periods, and the concentrations of nine heavy metals—Cr, Ni, Cu, Pb, Zn, Cd, As, Sb, and Hg—were analyzed. The analysis showed that all nine heavy metals were higher than the background values of Chinese urban soils in both the drought and wet periods, and the mean heavy metal contents of road dust in the dry period were higher than those in the wet period, except for Cd. In the assessment of the pollution of heavy metals in road dust, the results of Igeo showed that Cd and Hg were significant; the results of NI showed that Cr and Ni were more significant. The spatial analysis shows that the industrial concentration areas in the north and west of Liuzhou City are concentration areas of heavy metal pollution. A Pearson correlation analysis showed high correlation between Cd in road dust heavy metals and Cd in the surrounding soil. Source identification via PCA revealed four main contributors: metallurgical and coal-fired industries, mechanical manufacturing, green belt maintenance, and waste treatment facilities. A quantitative analysis via APCS-MLR modeling confirmed that metallurgical and coal-fired industrial sources are the most widespread and important pollution sources in Liuzhou. There is a significant increase in the contribution of waste treatment sources to Hg contamination during wet periods. Full article
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<p>Location of the study area and distribution of the sample sites.</p>
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<p>(<b>a</b>) Box plots of the geological accumulation index for the heavy metals in road dust. (<b>b</b>) Histogram of the Nemerow composite pollution index for the heavy metals in road dust.</p>
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<p>Spatial distribution patterns of heavy metals in road dust during the drought (<b>a</b>–<b>i</b>) and wet periods (<b>j</b>–<b>r</b>).</p>
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<p>Thermogram of the correlations between heavy metals in the surrounding soil and road dust during the drought and wet periods.</p>
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<p>Graph of the principal component analysis loading trends during the different periods. Principal components (PC1, 2, 3, and 4).</p>
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<p>Sankey diagram of the quantitative contributions of the various heavy metal pollution sources.</p>
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20 pages, 3818 KiB  
Article
Morphological Trait Variations and Flower Color Differences in Wild Crocus Species
by Nataša Krstić, Goran Jaćimović, Branka Ljevnaić-Mašić, Sofija Petrović, Željana Prijić, Đorđe Krstić and Borislav Banjac
Horticulturae 2024, 10(11), 1214; https://doi.org/10.3390/horticulturae10111214 - 17 Nov 2024
Viewed by 286
Abstract
This study investigates the phenotypic diversity of spring-flowering Crocus species native to Serbia by analyzing their morphological traits and flower color variations. Detailed phenotypic characterization was performed on seven species: C. alexandri, C. chrysanthus, C. heuffelianus, C. randjeloviciorum, C. [...] Read more.
This study investigates the phenotypic diversity of spring-flowering Crocus species native to Serbia by analyzing their morphological traits and flower color variations. Detailed phenotypic characterization was performed on seven species: C. alexandri, C. chrysanthus, C. heuffelianus, C. randjeloviciorum, C. rujanensis, C. variegatus, and C. weldenii. The study examines how morphological parameters of tested species diverged from average values during a hot and dry winter, resulting in smaller plants, earlier and shorter flowering periods, and reduced flower size, regardless of species. Hierarchical clustering based on morphological traits grouped the species into three clusters: the first cluster included C. alexandri, C. chrysanthus, C. rujanensis, and C. weldenii, characterized by the highest number of leaves and the lowest number of flowers; the second consisted of C. randjeloviciorum, distinguished by shorter plant height and the greatest number of flowers; and the third cluster comprised C. heuffelianus and C. variegatus, notable for the tallest plants, widest corms and leaves, and longest perigon segments. Grouping based on petal color components (L*, a*, b*, chroma, and hue) formed five distinct clusters, demonstrating differences in flower color. These findings are valuable for taxonomic classification, conservation measures, and breeding programs, which ultimately support the conservation of biodiversity and the promotion of ornamental plant cultivation. Flower color in particular has proven to be a reliable species indicator, as it remains constant despite the year and/or habitat. The use of a colorimeter can speed up the identification of species in the field and provides researchers and conservationists with a practical tool. Full article
(This article belongs to the Special Issue Ornamental Plants under Abiotic Stresses)
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<p>Map of Serbia with the distribution of tested <span class="html-italic">Crocus</span> species with pictures of flowers and corms: (<b>A</b>) <span class="html-italic">C. variegatus</span>; (<b>B</b>) <span class="html-italic">C. heuffelianus</span>; (<b>C</b>) <span class="html-italic">C. alexandri</span>; (<b>D</b>) <span class="html-italic">C. chrysanthus</span>; (<b>E</b>) <span class="html-italic">C. randjeloviciorum</span>; (<b>F</b>) <span class="html-italic">C. weldenii</span>; (<b>G</b>) <span class="html-italic">C. rujanesis</span>.</p>
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<p>Biplot of principal components 1 and 2 (PCA dimensions F1 and F2) for the morphological traits (PH—plant height, CW—corm width, NL—number of leaves, LW—leaf width, NF—number of flowers, PL—perigon length, LOP—length of the outer perigon segment, LIP—length of the inner perigon segment, LSL—length of the stigma lobes, LA—length of the anthers) of seven <span class="html-italic">Crocus</span> species.</p>
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<p>Hierarchal clustering of <span class="html-italic">Crocus</span> species based on morphological traits. The clusters are color-coded as follows: brown (Cluster 1), blue (Cluster 2), and green (Cluster 3).</p>
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<p>Biplot of PCA dimensions F1 and F2 for color components (L*, a*, b*, chroma, and hue) of <span class="html-italic">Crocus</span> species petals.</p>
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<p>Hierarchal clustering of <span class="html-italic">Crocus</span> species based on color components of petals. Seven <span class="html-italic">Crocus</span> sp., with petal side defined as O-o, O-i, I-o, and I-i (O—outer and I—inner petals of the perianth; on outer (-o) and inner (-i) side). The clusters are color-coded as follows: gray (Cluster 1), blue (Cluster 2), pink (Cluster 3), and green (Cluster 4).</p>
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19 pages, 8777 KiB  
Article
The Association of Drought with Different Precipitation Grades in the Inner Mongolia Region of Northern China
by Shuxia Yao, Chuancheng Zhao, Jiaxin Zhou and Qingfeng Li
Water 2024, 16(22), 3292; https://doi.org/10.3390/w16223292 - 16 Nov 2024
Viewed by 350
Abstract
Drought has become an important factor affecting the environment and socio-economic sustainable development in northern China due to climate change. This study utilized the Standardized Precipitation Index (SPI) as a drought metric to investigate the correlation between drought characteristics and different grades of [...] Read more.
Drought has become an important factor affecting the environment and socio-economic sustainable development in northern China due to climate change. This study utilized the Standardized Precipitation Index (SPI) as a drought metric to investigate the correlation between drought characteristics and different grades of precipitation and rain days. The analysis was based on a long-term time series of precipitation data obtained from 116 meteorological stations located in Inner Mongolia, spanning 1960 to 2019. To achieve the objectives of the current research, the daily precipitation was categorized into four grades based on the “24-h Precipitation Classification Standard”, and the frequency of rain days for each grade was determined. Subsequently, the SPI was calculated for 1 and 12 months, enabling the identification of drought events. The results revealed pronounced spatiotemporal regional variations and complexities in the dry–wet climatic patterns of Inner Mongolia, with significant decreases in precipitation emerging as the primary driver of drought occurrences. Approximately 6% of the entire study period experienced short-term drought, while long-term drought periods ranged from 23% to 38%. Regarding multi-year trends, precipitation exhibited a weak increasing trend, while rain days exhibited a weak decreasing trend. Drought exhibited an alleviating trend, with 92% of stations displaying coefficients > 0 for SPI_Month and over 62% of stations displaying coefficients > 0 for SPI_Year. At the monthly scale, drought was most correlated with light rainfall trends and least correlated with moderate rainfall trends. At the annual scale, drought was relatively highly correlated with moderate and heavy rainfall distributions but poorly correlated with light rainfall. The results suggested that achieving the precise monitoring and mitigation of drought disasters in Inner Mongolia in the future will require a combined analysis of indicators, including agricultural drought, hydrological drought, and socio-economic drought. Such an approach will enable a comprehensive analysis of drought characteristics under different underlying surface conditions in Inner Mongolia. Full article
(This article belongs to the Section Water and Climate Change)
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<p>Locations of meteorological stations in the Inner Mongolia autonomous region.</p>
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<p>Variation in the SPI in Inner Mongolia at different time scales during the period from 1960 to 2019. (<b>a</b>) The monthly SPI. (<b>b</b>) The annual SPI. Blue, dry; red, wet.</p>
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<p>Spatial variation in SPI_Month in Inner Mongolia. (<b>a</b>) The frequency of drought occurrence during the period from 1960 to 2019. (<b>b</b>) The percentage (%) of occurrence of mild drought. (<b>c</b>) The percentage (%) of occurrence of moderate drought. (<b>d</b>) The percentage (%) of occurrence of severe drought. (<b>e</b>) The percentage (%) of occurrence of extreme drought.</p>
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<p>Spatial variation in SPI_Year in Inner Mongolia. (<b>a</b>) The frequency of drought occurrence during the period from 1960 to 2019. (<b>b</b>) The percentage (%) of occurrence of mild drought. (<b>c</b>) The percentage (%) of occurrence of moderate drought. (<b>d</b>) The percentage (%) of occurrence of severe drought. (<b>e</b>) The percentage (%) of occurrence of extreme drought.</p>
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<p>Precipitation and rain days across the study period. Brown, rain days; blue, annual precipitation.</p>
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<p>Distribution of precipitation of different grades across the study period. (<b>a</b>) Light rain, (<b>b</b>) moderate rain, (<b>c</b>) heavy rain, and (<b>d</b>) torrential rain.</p>
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<p>The frequency of multi-year average of light and moderate rain days. (<b>a</b>) Light rain. (<b>b</b>) Moderate rain.</p>
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<p>The frequency of multi-year accumulations of heavy and torrential rain days. (<b>a</b>) Heavy rain. (<b>b</b>) Torrential rain.</p>
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<p>Relationship between SPI_Month and different grades of precipitation.</p>
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<p>Relationship between SPI_Year and different grades of precipitation.</p>
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19 pages, 10476 KiB  
Article
Effects of Rice Root Development and Rhizosphere Soil on Methane Emission in Paddy Fields
by Sheng Guan, Zhijuan Qi, Sirui Li, Sicheng Du and Dan Xu
Plants 2024, 13(22), 3223; https://doi.org/10.3390/plants13223223 - 16 Nov 2024
Viewed by 229
Abstract
Paddy fields are important anthropogenic emission sources of methane (CH4). However, it is not clear how rice root development and rhizosphere soil properties affect CH4 emissions. Therefore, we selected rice varieties with similar growth periods but different root traits in [...] Read more.
Paddy fields are important anthropogenic emission sources of methane (CH4). However, it is not clear how rice root development and rhizosphere soil properties affect CH4 emissions. Therefore, we selected rice varieties with similar growth periods but different root traits in the local area. We measured CH4 emission fluxes, cumulative CH4 emissions, root dry weight, root length, and the dissolved organic carbon (DOC), microbial biomass carbon (MBC), redox potential (Eh), ammonium nitrogen (NH4+–N), and nitrate nitrogen (NO3–N) contents in rhizosphere soil. Methanogens and methanotrophs are crucial factors influencing CH4 emissions; thus, their abundance and community composition were also assessed. The result showed that CH4 fluxes of each rice variety reached the peak at tillering stage and jointing-booting stage. The CH4 emissions in tillering stage were the largest in each growth period. CH4 emissions had negative correlations with root length, root dry weight, Eh NO3–N, methanotroph abundance, and the pmoA/mcrA ratio, and positive correlations with NH4+–N, MBC, DOC, and methanogen abundance. Path analysis confirmed methanogens and methanotrophs as direct influences on CH4 emissions. Root development and rhizosphere soil properties affect CH4 emissions indirectly through these microbes. This study suggests that choosing rice varieties with good root systems and managing the rhizosphere soil can effectively reduce CH4 emissions. Full article
(This article belongs to the Special Issue Plant Root: Anatomy, Structure and Development)
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<p>Time course changes in CH<sub>4</sub> emission fluxes in different rice varieties’ cultivation. Error bar indicates standard deviation (<span class="html-italic">n</span> = 3). Growth stages according to BBCH (Biologische Bundesanstalt, Bundessortenamt and Chemical industry) scale [<a href="#B33-plants-13-03223" class="html-bibr">33</a>]: RGS, returning green stage (BBCH 14–19); TS, tillering stage (BBCH 20–29); JBS, jointing–booting stage (BBCH 30–49); HFS, heading–flowering stage (BBCH 51–69); MS, maturity stage (BBCH 71–89). Same as below.</p>
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<p>The cumulative CH<sub>4</sub> emissions at each growth stage in different rice varieties’ cultivation. The different letters in the same growth stage indicate significant differences among the rice varieties (<span class="html-italic">n</span> = 3, <span class="html-italic">p</span> &lt; 0.05). The error bar indicates the standard deviation.</p>
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<p>Time course changes in soil Eh value in different rice varieties’ cultivation. Error bar indicates standard deviation (<span class="html-italic">n</span> = 3).</p>
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<p>The root dry weight (<b>a</b>) and root length (<b>b</b>) of different rice varieties at the main growth stages. Different letters in the same growth stage indicate significant differences among the rice varieties (<span class="html-italic">n</span> = 3, <span class="html-italic">p</span> &lt; 0.05). The error bar indicates the standard deviation.</p>
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<p>The amount of DOC (<b>a</b>), MBC (<b>b</b>), <math display="inline"><semantics> <msubsup> <mrow> <mi mathvariant="normal">N</mi> <mi mathvariant="normal">O</mi> </mrow> <mn>3</mn> <mo>−</mo> </msubsup> </semantics></math>–N (<b>c</b>), and <math display="inline"><semantics> <msubsup> <mrow> <mi mathvariant="normal">N</mi> <mi mathvariant="normal">H</mi> </mrow> <mn>4</mn> <mo>+</mo> </msubsup> </semantics></math>–N (<b>d</b>) in the rhizosphere soil of different rice varieties at each growth stage. DWS: dry weight of soil. Different letters in the same growth stage indicate significant differences among the rice varieties (<span class="html-italic">n</span> = 3, <span class="html-italic">p</span> &lt; 0.05). The error bar indicates the standard deviation.</p>
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<p>The abundance of the <span class="html-italic">mcrA</span> (<b>a</b>) and <span class="html-italic">pmoA</span> (<b>b</b>) genes, and the <span class="html-italic">pmo</span>A/<span class="html-italic">mcr</span>A ratio (<b>c</b>) in the rhizosphere soil of different rice varieties at the tillering stage. Different letters in the same growth stage indicate significant differences among the rice varieties (<span class="html-italic">n</span> = 3, <span class="html-italic">p</span> &lt; 0.05). The error bar indicates the standard deviation.</p>
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<p>The community structure of methanogens in the rhizosphere soil of different rice varieties at the tillering stage.</p>
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<p>The community structure of methanotrophs in the rhizosphere soil of different rice varieties at the tillering stage.</p>
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<p>PCoA analysis of methanogen (<b>a</b>) and methanotroph (<b>b</b>) communities in rhizosphere soil of different rice varieties at tillering stage.</p>
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<p>The air temperature and precipitation during the growth period of the rice.</p>
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17 pages, 3996 KiB  
Article
The Influence of Relative Humidity and Pollution on the Meteorological Optical Range During Rainy and Dry Months in Mexico City
by Blanca Adilen Miranda-Claudes and Guillermo Montero-Martínez
Atmosphere 2024, 15(11), 1382; https://doi.org/10.3390/atmos15111382 - 16 Nov 2024
Viewed by 260
Abstract
The Meteorological Optical Range (MOR) is a measurement of atmospheric visibility. Visibility impairment has been linked to increased aerosol levels in the air. This study conducted statistical analyses using meteorological, air pollutant concentration, and MOR data collected in Mexico City from [...] Read more.
The Meteorological Optical Range (MOR) is a measurement of atmospheric visibility. Visibility impairment has been linked to increased aerosol levels in the air. This study conducted statistical analyses using meteorological, air pollutant concentration, and MOR data collected in Mexico City from August 2014 to December 2015 to determine the factors contributing to haze occurrence (periods when MOR < 10,000 m), defined using a light scatter sensor (PWS100). The outcomes revealed seasonal patterns in PM2.5 and relative humidity (RH) for haze occurrence along the year. PM2.5 levels during hazy periods in the dry season were higher compared to the wet season, aligning with periods of poor air quality (PM2.5 > 45 μg/m3). Pollutant-to-CO ratios suggested that secondary aerosols’ production, led by SO2 conversion to sulfate particles, mainly impacts haze occurrence during the dry season. Meanwhile, during the rainy season, the PWS100 registered haze events even with PM2.5 values close to 15 μg/m3 (considered good air quality). The broadened distribution of extinction efficiency during the wet period and its correlation with RH suggest that aerosol water vapor uptake significantly impacts visibility during this season. Therefore, attributing poor visibility strictly to poor air quality may not be appropriate for all times and locations. Full article
(This article belongs to the Section Meteorology)
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<p>The research methodology overview. Blue boxes represent the main phases/sections of the study, green boxes represent how the analysis was carried out, and the yellow box leads to the discussion of results.</p>
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<p>Time series for Meteorological Optical Range (<span class="html-italic">MOR</span>, black lines), meteorological, and pollutant (PM<sub>2.5</sub>, NO<sub>x</sub>, SO<sub>2</sub>, and CO) measurements from 22 to 23 November 2015. <span class="html-italic">MOR</span> data show a haze event on 23 November 2015. The upper panel (<b>a</b>) shows a comparison between PM<sub>2.5</sub>, NO<sub>x</sub>, and <span class="html-italic">RH</span> (red, blue, and yellow lines, respectively) measurements correlated with <span class="html-italic">MOR</span> data. The bottom panel (<b>b</b>) displays the SO<sub>2</sub>, CO, and <span class="html-italic">WS</span> (orange, blue, and green lines, respectively) estimates during the same period. It is observed that pollutant concentrations show higher levels during the haze occurrence. See more details in the text.</p>
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<p>The correlation matrix showing the relationship between <span class="html-italic">MOR</span> and meteorological and pollutants variables. Bold numbers in the green-colored cells indicate statistically significant results.</p>
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<p>The series of monthly averages of <span class="html-italic">MOR</span>, meteorological, and pollutant measurements obtained for haze (orange) and control (blue) periods. The information is displayed for the months when haze events occurred, so November 2014 and January, March, and October 2015 are missing. The open symbols indicate results obtained for the dry season. Each subfigure shows the comparison for the variables as: (<b>a</b>) <span class="html-italic">MOR</span>, (<b>b</b>) PM<sub>2.5</sub>, (<b>c</b>) <span class="html-italic">RH</span>, (<b>d</b>) NO<sub>x</sub>, (<b>e</b>) <span class="html-italic">WS</span>, (<b>f</b>) SO<sub>2</sub>, and (<b>g</b>) <span class="html-italic">WDIR</span>.</p>
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<p>The dispersion of <span class="html-italic">MOR</span> values, categorized into haze (<span class="html-italic">MOR</span> &lt; 10,000 m, blue points) and non-haze (<span class="html-italic">MOR</span> &gt; 10,000 m, orange points) classes, as a function of <span class="html-italic">RH</span> and PM<sub>2.5</sub> for the dry (<b>left panel</b>) and the precipitating (<b>right panel</b>) seasons.</p>
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<p>The contribution of particulate (PM<sub>2.5</sub>) pollution levels in four visibility ranges during the two chosen precipitation periods. The upper panel shows that bad air quality conditions contribute significantly (up to 60%) to haze occurrence during the low precipitation period.</p>
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<p>Estimates of (<b>a</b>) PM<sub>2.5</sub>/CO (μg/m<sup>3</sup>/ppmv), (<b>b</b>) SO<sub>2</sub>/CO (ppbv/ppmv), and (<b>c</b>) NO<sub>x</sub>/CO (ppbv/ppmv) ratios for two <span class="html-italic">MOR</span> ranges (shown in the <span class="html-italic">x</span>-axis of the bottom panel). Orange and blue bars show the mean values for each ratio during the representative periods of haze and good <span class="html-italic">MOR</span> estimates, respectively. The vertical bars correspond to the standard deviation of the mean values. Under different visibility conditions, these ratios are useful as a proxy for the contribution of gas–particle conversion processes. See details in the text.</p>
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<p>Frequency distributions of the extinction capacity of PM<sub>2.5</sub> per unit mass under diverse <span class="html-italic">RH</span> ranges: (<b>a</b>) 40 % &lt; <span class="html-italic">RH</span> &lt; 60 %, (<b>b</b>) 60 % &lt; <span class="html-italic">RH</span> &lt; 80 %, and (<b>c</b>) 80 % ≤ <span class="html-italic">RH.</span> The obtained distributions are displayed for the dry and rainy seasons.</p>
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<p>Cumulative curves of haze periods as a function of the PM<sub>2.5</sub> levels (<b>a</b>) and <span class="html-italic">RH</span> (<b>b</b>) during the two chosen seasons. The 50% frequency level was used to determine the particulate and moisture threshold values for haze incidence at the sampling site during the rainy and low precipitation seasons.</p>
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15 pages, 16859 KiB  
Article
Mechanical Behavior of Masonry Mortars Reinforced with Disposable Face Mask Strips
by René Sebastián Mora-Ortiz, Ebelia Del Angel-Meraz, Sergio Alberto Díaz, Francisco Magaña-Hernández, Jazmín del Rosario Torres-Hernández and Mayra Agustina Pantoja Castro
Materials 2024, 17(22), 5571; https://doi.org/10.3390/ma17225571 - 14 Nov 2024
Viewed by 362
Abstract
This research presents an experimental analysis of the mechanical behavior of masonry mortars incorporating disposable face masks (FMs) cut into two different sizes. The objective is to provide experimental data contributing to the consolidation of recycling FMs in mortar mixtures. To achieve this, [...] Read more.
This research presents an experimental analysis of the mechanical behavior of masonry mortars incorporating disposable face masks (FMs) cut into two different sizes. The objective is to provide experimental data contributing to the consolidation of recycling FMs in mortar mixtures. To achieve this, two types of mixtures were prepared: one with strips of 3 × 3 mm and another with strips of 3 × 10 mm. These FM strips were added in different proportions by the volume of mortar (0%, 0.2%, 0.5%, 0.8%, 1.0%, and 1.5%). In all mortars, the dry bulk density, volume of permeable voids, and water absorption, as well as compressive, flexural, and tensile strengths, were evaluated after a 28-day water immersion curing period. Additionally, two essential properties in masonry mortars were analyzed: air content and shear bond strength. The results indicated that, for both strip sizes, adding FMs up to 0.2% positively affected the flexural and tensile strengths; concerning control mortar, increases of 6% and 1.4%, were recorded, respectively, for the longer strips. At this percentage, the density, air content, and compressive and shear bond strengths are not significantly affected. The results demonstrated that incorporating FMs into mortar mixtures is a promising avenue for sustainable recycling and helps reduce microplastic environmental contamination. Full article
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<p>Flowchart of investigation.</p>
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<p>Layers of the disposable face mask.</p>
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<p>Fibers obtained from FMs: (<b>a</b>) type M1 and (<b>b</b>) type M2.</p>
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<p>Particle size distribution of fine aggregate.</p>
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<p>Shear bond strength specimen: (<b>a</b>) manufacturing position; (<b>b</b>) testing position; (<b>c</b>) dimensions of specimen.</p>
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<p>Changes in air content due to the inclusion of FM.</p>
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<p>Dry bulk density of the mortars with different proportions of FM.</p>
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<p>Volume of permeable voids of the mortars.</p>
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<p>Porosity of samples M2-type with different FM content: (<b>a</b>) 1.5%; (<b>b</b>) 0.5%; (<b>c</b>) control.</p>
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<p>Changes in the water absorption of the mortars due to the inclusion of FM.</p>
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<p>Compressive strength of mortars with different FM contents.</p>
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<p>Flexural strength of the mortars under study.</p>
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<p>Split tensile strength of mortars with different FM contents.</p>
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<p>Split tensile strength test: (<b>a</b>) failure of the M2-0.5 sample; (<b>b</b>) micro-anchor effect.</p>
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<p>Changes in shear bond strength due to the inclusion of FM.</p>
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<p>M2-1.0 mortar after the SBS test: (<b>a</b>) adhesive failure; (<b>b</b>) porosity in the mortar paste at the mortar–base material interface.</p>
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23 pages, 865 KiB  
Article
Microbiological Characterization and Pathogen Control in Drying Bed-Processed Sewage Sludge
by Laid Bouchaala, Nedjoud Grara, Nabil Charchar, Heidar Nourine, Kamal Dahdah, Youssouf Driouche, Abdeltif Amrane, Huda Alsaeedi, David Cornu, Mikhael Bechelany and Ahmed Barhoum
Water 2024, 16(22), 3276; https://doi.org/10.3390/w16223276 - 14 Nov 2024
Viewed by 386
Abstract
This study investigated the microbiological and parasitic quality of sewage sludge treated in drying beds in Algeria, aiming to contribute to a better understanding of the factors influencing sludge safety for potential agricultural applications in the Algerian context. The research focused on various [...] Read more.
This study investigated the microbiological and parasitic quality of sewage sludge treated in drying beds in Algeria, aiming to contribute to a better understanding of the factors influencing sludge safety for potential agricultural applications in the Algerian context. The research focused on various sludge types (liquid, semi-solid, and solid) and their behavior across different seasons. Standard microbiological methods were employed to quantify total coliforms, fecal streptococci, E. coli, and Clostridium. Controls were implemented to ensure accuracy, with positive controls validating detection methods using known quantities of microorganisms and parasites, while negative controls confirmed the absence of contamination in the testing environment. Parasitic contamination was assessed through microscopic examination for protozoa and helminths. Results revealed substantial variation in microbial concentrations across sludge types and seasons. Liquid sludge, particularly during summer, exhibited the highest levels of total coliforms (up to 7.021 log10) and E. coli (up to 6.049 log10), while solid sludge showed lower counts. Seasonal trends indicated increased microbial levels during warmer months. Parasitic contamination was prevalent in 81% of samples, with protozoan cysts (e.g., Giardia intestinalis and Endolimax nanus) and helminth eggs detected. Despite reducing microbial loads, drying processes alone were insufficient, leaving significant contamination. Enhanced protocols are needed, such as longer drying periods, chemical disinfectants, or advanced technologies like anaerobic digestion or composting. This highlights the need for locally adapted treatment strategies. Furthermore, this research provides specific recommendations for improving sewage sludge management practices in Algeria, taking into account the unique environmental and agricultural context of the country. Full article
(This article belongs to the Special Issue Resource Use of Sewage Sludge for Soil Application)
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<p>Seasonal variations in total coliforms (TC), <span class="html-italic">E. coli</span>, and fecal streptococci (SF) in sewage sludge (BS1) across five wastewater treatment plants.</p>
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<p>Seasonal variations in total coliforms (TC), <span class="html-italic">E. coli</span>, and fecal streptococci (SF) in solid sewage sludge (BS2) across five wastewater treatment plants.</p>
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<p>Seasonal variations in total coliforms (TC), <span class="html-italic">E. coli</span>, and fecal streptococci (SF) counts in liquid sewage sludge (LS) across five wastewater treatment stations.</p>
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20 pages, 3919 KiB  
Article
Drying Performance of a Combined Solar Greenhouse Dryer of Sewage Sludge
by Fatiha Berroug, Yassir Bellaziz, Zakaria Tagnamas, Younes Bahammou, Hamza Faraji, El Houssayne Bougayr and Naaila Ouazzani
Sustainability 2024, 16(22), 9925; https://doi.org/10.3390/su16229925 - 14 Nov 2024
Viewed by 354
Abstract
The solar drying of sewage sludge in greenhouses is one of the most used solutions in wastewater treatment plants (WWTPs). However, it presents challenges, particularly in terms of efficiency and drying time. In this context, the present study explores the drying performances of [...] Read more.
The solar drying of sewage sludge in greenhouses is one of the most used solutions in wastewater treatment plants (WWTPs). However, it presents challenges, particularly in terms of efficiency and drying time. In this context, the present study explores the drying performances of an innovative Combined Solar Greenhouse Dryer (CSGD) for sewage sludge. The system integrates rock bed storage (RBS), a solar air collector (SAC), and a solar greenhouse dryer (SGD). A numerical model, developed using TRNSYS software, predicts the drying kinetics of sewage sludge through hourly dynamic simulations based on the climatic conditions of Marrakesh, Morocco. Experimental validation confirmed the accuracy of the model. The results reveal that integrating the SAC with the SGD during the day and the RBS with the SGD at night significantly enhances the drying efficiency of the sewage sludge. During daylight hours, the SAC generates hot air, reaching maximum temperatures of 64 °C in January and 109 °C in July. Concurrently, the outlet air temperature of the RBS rises notably during the day, corresponding to the charging phase of the storage unit. Moreover, during the night, the RBS air temperature exceeds ambient temperatures by approximately 7–16 °C in January and 11–37 °C in July. This integration leads to a substantial reduction in drying time. The reduction in sewage sludge water content from 4 kg/kg of dry solid (20% dry solid content) to 0.24 kg/kg of dry solid (80% dry solid content) is related to a decrease in the drying time from 121 h to 79 h in cold periods and from 47 h to 27 h in warm periods. The drying process is significantly enhanced within the greenhouse, both during daylight and nocturnal periods. The CSGD system proves to be energy-efficient, offering an effective, high-performance solution for sewage sludge management, while also lowering operational costs for WWTPs. This innovative solar drying system combines a thermal storage bed and a solar collector to enhance drying efficiency, even in the absence of sunlight. Full article
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<p>Schematic diagram of the SGD (<b>a</b>) and the CSGD (<b>b</b>).</p>
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<p>Heat and transfers within the SGD [<a href="#B18-sustainability-16-09925" class="html-bibr">18</a>].</p>
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<p>Flow chart of the computation process.</p>
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<p>(<b>a</b>) Ambient temperature and global solar radiations of the experimental period. (<b>b</b>) Relative humidity and wind speed of the experimental period.</p>
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<p>(<b>a</b>) Ambient temperature and global solar radiations of the experimental period. (<b>b</b>) Relative humidity and wind speed of the experimental period.</p>
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<p>Comparison between the predicted and measured moisture content.</p>
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<p>(<b>a</b>) Variation in temperature, relative humidity, and wind velocity throughout the year in Marrakesh. (<b>b</b>) Variation in global solar radiations throughout the year in Marrakesh.</p>
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<p>(<b>a</b>) Variation in the outlet air temperature at the SAC and the RBS during the last week of January in Marrakesh. (<b>b</b>) Variation in the outlet air temperature at the SAC and the RBS during the third week of July in Marrakesh.</p>
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<p>Variation in the temperature of internal air, greenhouse cover, and sewage sludge during the last week of January in Marrakesh.</p>
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<p>Variation in the drying rate of sewage sludge with the moisture content variation during the last week of January in Marrakesh.</p>
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<p>Variation in internal air temperature (<b>a</b>) and sewage sludge temperature (<b>b</b>) during the drying process for the last week of January in Marrakech.</p>
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<p>Variation in internal air temperature (<b>a</b>) and sewage sludge temperature (<b>b</b>) during the drying process for the third week of July in Marrakesh.</p>
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<p>Variation in moisture content and drying rate of sewage sludge during (<b>a</b>) the cold period (January) and (<b>b</b>) the warm period (July).</p>
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19 pages, 3340 KiB  
Article
Lidocaine-Loaded Thermoresponsive Gel for Accelerated Wound Healing in Dry Socket and Oral Wounds
by Nuttawut Supachawaroj, Kunchorn Kerdmanee and Sucharat Limsitthichaikoon
Gels 2024, 10(11), 739; https://doi.org/10.3390/gels10110739 - 14 Nov 2024
Viewed by 317
Abstract
Dry socket, also known as alveolar osteitis, presents significant challenges in oral surgery because of severe pain and delayed wound healing. This study aims to address these challenges by developing and evaluating a lidocaine-loaded polyelectrolyte complex thermoresponsive gel (LG) designed to enhance wound [...] Read more.
Dry socket, also known as alveolar osteitis, presents significant challenges in oral surgery because of severe pain and delayed wound healing. This study aims to address these challenges by developing and evaluating a lidocaine-loaded polyelectrolyte complex thermoresponsive gel (LG) designed to enhance wound healing and provide effective pain management in oral wounds. The thermoresponsive gel transitions from a liquid to a gel at body temperature, ensuring sustained contact with the wound site and prolonged release of lidocaine. The in vitro assessments, including cytotoxicity and wound scratch assays, demonstrated the biocompatibility and therapeutic potential of the LG formulation. Following this, palatal wounds were induced in rats, with healing monitored over a 14-days period. Histological analyses were conducted to assess tissue regeneration and inflammation. The results indicated that the LG formulation significantly improved wound closure rates, reduced inflammation, and accelerated epithelialization compared with control groups, primarily because of the high content of hyaluronic acid (HA). The synergistic effects of HA combined with the thermoresponsive properties of the gel facilitated faster healing. These findings suggest that LG is a promising therapeutic option for enhancing oral wound healing and effectively managing pain, particularly in conditions such as dry socket. Full article
(This article belongs to the Special Issue Advanced Gel-Based Materials and Coatings with Enhanced Bioactivity)
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<p>Effect of lidocaine-loaded thermoresponsive gel formulations (LG1-LG3) and blank control gel (BG) on cell viability (%) of Human Gingival Fibroblasts (HGF). Cells treated with DMEM served as the negative control, representing normal cell conditions, while cells exposed to hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) acted as the positive control. Error bars indicate standard deviations (<span class="html-italic">n</span> = 8).</p>
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<p>In vitro scratch assay of Human Gingival Fibroblasts (HGF). (<b>A</b>) Wound gap reduction (µm<sup>2</sup>) measured at 0, 6-, 12-, 18-, and 24-h post-scratch. (<b>B</b>) Images of cell migration in the scratch zones of HGF at the same time points. Cells treated with lidocaine-loaded thermoresponsive gel formulations (LG1-LG3) were compared with a DMEM-negative control, representing normal cell conditions, and a positive control group treated with DMEM-containing fetal bovine serum (FBS). Error bars indicate standard deviations (<span class="html-italic">n</span> = 8). Statistical significance (*) is denoted as <span class="html-italic">p</span> &lt; 0.05 when comparing within groups.</p>
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<p>Wound size diameter (mm) of a wound after being treated with LG on days 5, 7, and 14. Displays a graph illustrating the reduction in wound size following the daily application of various gels over a 14-day period. The treatment groups included blank control gel (BG), lidocaine-loaded thermoresponsive gel (LG, lidocaine gel (LH), triamcinolone gel (TA), and hyaluronic acid gel (HA). Wound sizes were measured immediately after wound induction and subsequently on days 5, 7, and 14 to assess the healing progression across different treatments.</p>
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<p>Histological images of the rat palatal wounds on Days 5 and 7 illustrate the reduction in wound size following the daily application of various gels. The treatment groups included a blank control gel (BG), lidocaine-loaded thermoresponsive gel (LG), lidocaine gel (LH), triamcinolone gel (TA), and hyaluronic acid gel (HA). Wound sizes were measured immediately after wound induction and subsequently on Days 5 and 7 to assess the healing progression across different treatments.</p>
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11 pages, 803 KiB  
Article
Dry-Cured Ham, ‘Kraški Pršut’, from Heavy Pig Production—A Pilot Study Focusing on the Effect of Ham Weight and Salting
by Bojana Savić, Marjeta Čandek-Potokar and Martin Škrlep
Foods 2024, 13(22), 3620; https://doi.org/10.3390/foods13223620 - 13 Nov 2024
Viewed by 470
Abstract
A pilot study was conducted with the aim of adapting the processing of “Kraški pršut”, dry-cured ham, for thighs from heavy pigs. The focus was on the effect of ham weight and salting duration on the quality of dry-cured ham. From [...] Read more.
A pilot study was conducted with the aim of adapting the processing of “Kraški pršut”, dry-cured ham, for thighs from heavy pigs. The focus was on the effect of ham weight and salting duration on the quality of dry-cured ham. From a pool of thighs harvested from heavy pigs, a total of 32 green hams were selected (from 16 carcasses) based on weight (two classes; L—lighter, H—heavier) and we used left and right ham for either the standard or a shortened salting phase. Salting duration consisted of phase 1 (7 days for all hams) and phase 2 (7 or 14 days for L, 10 or 17 days for H, in the case of shortened and standard salting, respectively). Equivalent conditions for all hams were maintained during the remaining phases, with a total maturation period of 18 months. The analysis focused on chemical, physical and rheological properties, sensory attributes, and consumer perceptions. The H hams had lower processing losses, resulting in higher moisture and water activity, lower salt content in internal biceps femoris muscle, and a softer texture (instrumental and sensory) than L hams. The salting duration mainly affected weight losses in the salting phase and, consequently, salt content, which was lower in the shortened salting phase, while no effects were observed on texture. The sensory panel perceived weight’s effect on hardness, with L hams being perceived as harder, and salting’s effect on sourness, with hams submitted to longer salting perceived as sourer than H hams. Consumer testing indicated a general preference for softer and less salty hams. Overall, the results show that the applied reduction in salting duration was not substantial, and future trials should explore further optimization in terms of salting and resting phases. Full article
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<p>Experimental design.</p>
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<p>Consumer perceptions as affected by ham weight and salting duration—figures present the frequency (%) of perceived descriptors using the check all that apply (CATA) method. Significance: * = <span class="html-italic">p</span> &lt; 0.05; ** = <span class="html-italic">p</span> &lt; 0.01; *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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22 pages, 6236 KiB  
Article
An Experimental Investigation into the Enhancement of Surface Quality of Inconel 718 Through Axial Ultrasonic Vibration-Assisted Grinding in Dry and MQL Environments
by Sreethul Das, Pandivelan Chinnaiyan, Joel Jayaseelan, Jeyapandiarajan Paulchamy, Andre Batako and Ashwath Pazhani
J. Manuf. Mater. Process. 2024, 8(6), 255; https://doi.org/10.3390/jmmp8060255 - 13 Nov 2024
Viewed by 396
Abstract
Ultrasonic vibration-assisted grinding (UVAG) has proven to be beneficial for grinding difficult-to-machine materials. This work attempts to enhance the grinding performance of Inconel 718 through a comprehensive study of UVAG characteristics. Grinding experiments were performed in both dry and Minimum Quantity Lubrication (MQL) [...] Read more.
Ultrasonic vibration-assisted grinding (UVAG) has proven to be beneficial for grinding difficult-to-machine materials. This work attempts to enhance the grinding performance of Inconel 718 through a comprehensive study of UVAG characteristics. Grinding experiments were performed in both dry and Minimum Quantity Lubrication (MQL) environments, and assessment of the grinding forces, specific energy, residual stress, and surface topography was done. A substantial reduction of both surface roughness and grinding force components was observed in UVAG compared to conventional grinding (CG). Utilizing UVAG with MQL at the maximum vibration amplitude led to a 64% reduction in tangential grinding force and a 51% decrease in roughness parameter, Ra, when compared to CG conducted in a dry environment. The high-frequency indentations of the abrasives in UVAG generated compressive residual stresses on the ground surface. Surface parameters pointed to uniform texture and SEM images showed widening of abrasive grain tracks on the workpiece surface during UVAG. The utilization of UVAG under MQL produced a synergistic impact and resulted in the lowest grinding forces, specific energy, and optimal surface quality among all the grinding conditions investigated. Overall analysis of the results indicated that the axial configuration of the vibration set-up is favorable for UVAG, and the high-frequency periodic separation-cutting characteristic of the process improves lubricating efficiency and grinding performance. Full article
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<p>UVAG set-up with ultrasonic stack assembly unit and data acquisition system.</p>
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<p>(<b>a</b>) Schematic of ultrasonic stack assembly and fixtures mounted on dynamometer. (<b>b</b>) Schematic of UVAG parameters with respect to the grinding wheel.</p>
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<p>Comparison of normal (<span class="html-italic">F<sub>n</sub></span>) and tangential (<span class="html-italic">F<sub>t</sub></span>) grinding forces in CG and UVAG (at different amplitude levels) for dry and MQL conditions.</p>
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<p>Visualization of path traced by an abrasive grit relative to the workpiece surface in CG and UVAG (<span class="html-italic">A</span> = 20 μm, <span class="html-italic">f</span> = 19.8 kHz, <span class="html-italic">V<sub>w</sub></span> = 19 m/min, <span class="html-italic">N</span> = 2900 rpm and <span class="html-italic">D</span> = 200 mm).</p>
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<p>Tangential force <span class="html-italic">F<sub>t</sub></span>, axial force <span class="html-italic">F<sub>x</sub></span>, and axial velocity <span class="html-italic">V<sub>x</sub></span> components of UVAG (at different amplitude levels) in dry and MQL environments.</p>
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<p>Coefficient of friction (<span class="html-italic">µ</span>) in UVAG under dry and MQL conditions at different vibration amplitudes.</p>
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<p>Specific energy in UVAG under dry and MQL conditions at different vibration amplitudes.</p>
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<p>Surface residual stress in UVAG under dry and MQL conditions at different vibration amplitudes.</p>
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<p>Microhardness of the samples from UVAG under dry and MQL conditions at different vibration amplitudes.</p>
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<p>Plot of <span class="html-italic">R<sub>a</sub></span> values for dry and MQL grinding conditions in CG and UVAG.</p>
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<p>Comparison of surface morphologies using SEM and 3D surface plots for CG and UVAG under dry and MQL grinding conditions at vibration amplitude <span class="html-italic">A</span> = 20 μm.</p>
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<p>Comparison of surface morphologies using SEM and 3D surface plots for CG and UVAG under dry and MQL grinding conditions at vibration amplitude <span class="html-italic">A</span> = 20 μm.</p>
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<p>Box-and-whisker plot comparing normal grinding force (<span class="html-italic">F<sub>n</sub></span>) across different conditions using Fisher’s LSD method with 95% confidence intervals.</p>
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<p>Box-and-whisker plot comparing tangential grinding force (<span class="html-italic">F<sub>t</sub></span>) across different conditions using Fisher’s LSD method with 95% confidence intervals.</p>
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<p>Box-and-whisker plot comparing surface roughness parameter (<span class="html-italic">R<sub>a</sub></span>) across different conditions values using Fisher’s LSD method with 95% confidence intervals.</p>
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17 pages, 1090 KiB  
Article
The Possibility of Environmentally Sustainable Yield and Quality Management of Spring Wheat (Triticum aestivum L.) of the Cornetto Variety When Using Sapropel Extract
by Pavel Dmitriyev, Alexander Bykov, Ivan Zuban, Ivan Fomin, Saltanat Ismagulova, Kirill Ostrovnoy and Inna Jemaledinova
Sustainability 2024, 16(22), 9870; https://doi.org/10.3390/su16229870 - 12 Nov 2024
Viewed by 448
Abstract
Sustainable development is one of the main directions of modern agriculture. First of all, sustainability in the agricultural sector can be achieved through the possible abandonment of traditional mineral fertilizers. Many decades of using these fertilizers have led to the degradation of arable [...] Read more.
Sustainable development is one of the main directions of modern agriculture. First of all, sustainability in the agricultural sector can be achieved through the possible abandonment of traditional mineral fertilizers. Many decades of using these fertilizers have led to the degradation of arable soils and to soil and environmental pollution. As a result, this causes reductions in yields and the environmental quality of agricultural products and affects the health of the population. An alternative to traditional mineral fertilizers may be the use of innovative organomineral fertilizers obtained from local resources. These include manure, humus, compost, sediments, etc. In recent years, fertilizers obtained from the sapropels of the bottom sediments of lakes have become widespread. Their distinctive feature is the environmental friendliness and completeness of the content of chemical elements and substances necessary for the development and growth of plants. In addition, the methods of obtaining and applying these fertilizers allow us to talk about their effectiveness in use. The range of applications of these fertilizers is diverse, from use in the form of a dry extract applied directly to the soil to the use of liquid suspensions used at various stages of processing and from pre-sowing seed treatment to watering and spraying plants at different periods of vegetation. Moreover, an important aspect is the research work on the variational use of sapropel fertilizers on different crops, with different methods of production and concentrations and at different stages of processing. This publication contains the results of a study of the effect of the obtained innovative sapropel fertilizer on productivity, wheat grain quality, and economic efficiency (Triticum aestivum L.). To identify the optimal concentration of sapropel extract, laboratory studies were carried out to determine the germination energy and germination of wheat seeds of different varieties when they were soaked in various concentrations: 0.4, 0.8, 1.2, 1.6, and 2.0 g/L. The best indicators of germination energy and germination of wheat seeds during treatment with the extract were obtained at a concentration of 1.2 g/L. The research was conducted at an accredited variety testing laboratory. A field experiment was conducted in the fields of the agrobiological station of North Kazakhstan University named after Manash Kozybayev. The treatment of the seeds was carried out by soaking them in sapropel extract to evenly distribute the substance. The scheme of the field experiment included the option of using foliar treatment with a solution of sapropel extract at the tillering stage. As a result of the application of the obtained extract in the field, environmental and socio-economic efficiency was noted. The conducted field studies note its positive effect and effectiveness on the morphological, qualitative, and quantitative indicators of the wheat harvest. In the areas where wheat seeds were pretreated, as well as where foliar treatment with the resulting sapropel suspension was carried out, the best yield indicators were revealed. In these variants of the experiment with pre-sowing and pre-sowing and foliar treatment with the sapropel extract solution, the yield was 3.63 and 3.81 tons per hectare, respectively. The introduction of sapropel extract at the stage of seed treatment before sowing, as well as foliar processing of wheat at the tillering stage, will increase the efficiency and profitability of the agricultural industry and obtain a synergistic effect in the form of socio-economic efficiency and environmental safety of production. In our opinion, this will contribute to the development of sustainable agriculture and the production of environmental products. Full article
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<p>Scheme of field experience at the stage of vegetation.</p>
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<p>The polynomial trend of determining the optimal concentration of the effect of sapropel extract “Saprolin” on (<b>a</b>) the germination energy of different wheat varieties; (<b>b</b>) the germination of seeds of different wheat varieties.</p>
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<p>The average yield of wheat, according to the results of the experiment, tons per hectare, with a percentage margin of error.</p>
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11 pages, 1667 KiB  
Article
Nitrogen Accumulation and Initial Growth Response in Lettuce Planted at Different Periods After Hairy Vetch Incorporation
by Hiroshi Uchibayashi, Takuro Shinano and Toshiyuki Hirata
Int. J. Plant Biol. 2024, 15(4), 1176-1186; https://doi.org/10.3390/ijpb15040081 - 12 Nov 2024
Viewed by 357
Abstract
One-month-old lettuce seedlings were planted in the field with and without prior hairy vetch (Vicia villosa L.) incorporation (HV and Fallow, respectively). The periods between hairy vetch incorporation and lettuce planting were 1 day, 8 days and 15 days. The inorganic nitrogen [...] Read more.
One-month-old lettuce seedlings were planted in the field with and without prior hairy vetch (Vicia villosa L.) incorporation (HV and Fallow, respectively). The periods between hairy vetch incorporation and lettuce planting were 1 day, 8 days and 15 days. The inorganic nitrogen concentration in the soil was higher after hairy vetch incorporation, as well as the nitrogen concentration in the lettuce leaves from the HV plot compared to the Fallow plot, at any planting period. When lettuce seedlings were planted 8 days after hairy vetch incorporation, the leaf dry weight in the HV plots was 11% lower than that in the Fallow plots 4 days after planting; however, leaf growth recovered and the dry weight was 24% higher 12 days after planting, which could be due to enhanced leaf growth as the result of additional accumulated nitrogen provided by the hairy vetch. In the incubation experiment, it was suggested that the inhibitory effect of hairy vetch decomposition was not due to allelopathic substances. Therefore, in the hairy-vetch-incorporated field, growth suppression in the lettuce plants occurred early and continued for a short period after hairy vetch incorporation, but the damage due to the growth suppression effect was minor. More importantly, nitrogen supplied from the hairy vetch promoted lettuce growth after the inhibition period. Full article
(This article belongs to the Section Plant Physiology)
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<p>Schematic diagram of experimental design with below-ground segregation in incubation experiment (<b>A</b>) and illustrations and pictures of central cylinder and whole system of a pot (<b>B</b>).</p>
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<p>Precipitation and average temperature during cultivation. Average temperature (2021) is a daily average. Average temperature (1991–2020) is the average daily temperature on the given date over the past 30 years.</p>
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<p>Changes in dry weight of hairy vetch residue (<b>A</b>) and nitrogen release rate (<b>B</b>) in litter bag. Points represent mean values ± SD (<span class="html-italic">n</span> = 6).</p>
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<p>The changes in leaf dry weight and nitrogen concentration in lettuce planted on different dates after the incorporation of hairy vetch (<b>A</b>–<b>C</b>). Bars and points represent mean values ± SE (<span class="html-italic">n</span> = 24 and 8, respectively). A <span class="html-italic">t</span>-test was performed to detect significant differences between the Fallow plots and the HV plots at 10% (†), 5% (*) and 1% (**). DAI indicates the number of days after the incorporation of hairy vetch residue.</p>
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<p>The changes in shoot and root length from different below-ground segregation methods at different periods after incorporation of hairy vetch (<b>A</b>–<b>C</b>). Points represent mean values ± SE (<span class="html-italic">n</span> = 3). In the box in the upper right-hand corner are the results of the one-way ANOVA, performed to detect significant differences in shoot and root length 12 days after sowing of 5% (*) and 1% (**). “n.s.” denotes a <span class="html-italic">p</span>-value &gt; 0.05. The effects of segregation treatment were clarified at each sampling time according to Tukey HSD, in cases of a <span class="html-italic">p</span>-value &lt; 0.05 (<span class="html-italic">n</span> = 3). The different letters indicate a significant difference between the treatments. The days without an accompanied letter denote non-significant effects. DAI indicates the number of days after the incorporation of hairy vetch residue.</p>
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18 pages, 3764 KiB  
Article
Multifractal Analysis of Standardized Precipitation Evapotranspiration Index in Serbia in the Context of Climate Change
by Tatijana Stosic, Ivana Tošić, Irida Lazić, Milica Tošić, Lazar Filipović, Vladimir Djurdjević and Borko Stosic
Sustainability 2024, 16(22), 9857; https://doi.org/10.3390/su16229857 - 12 Nov 2024
Viewed by 448
Abstract
A better understanding of climate change impact on dry/wet conditions is crucial for agricultural planning and the use of renewable energy, in terms of sustainable development and preservation of natural resources for future generations. The objective of this study was to investigate the [...] Read more.
A better understanding of climate change impact on dry/wet conditions is crucial for agricultural planning and the use of renewable energy, in terms of sustainable development and preservation of natural resources for future generations. The objective of this study was to investigate the impact of climate change on temporal fluctuations of dry/wet conditions in Serbia on multiple temporal scales through multifractal analysis of the standardized precipitation evapotranspiration index (SPEI). We used the well-known method of multifractal detrended fluctuation analysis (MFDFA), which is suitable for the analysis of scaling properties of nonstationary temporal series. The complexity of the underlying stochastic process was evaluated through the parameters of the multifractal spectrum: position of maximum α0 (persistence), spectrum width W (degree of multifractality) and skew parameter r dominance of large/small fluctuations). MFDFA was applied on SPEI time series for the accumulation time scale of 1, 3, 6 and 12 months that were calculated using the high-resolution meteorological gridded dataset E-OBS for the period from 1961 to 2020. The impact of climate change was investigated by comparing two standard climatic periods (1961–1990 and 1991–2020). We found that all the SPEI series show multifractal properties with the dominant contribution of small fluctuations. The short and medium dry/wet conditions described by SPEI-1, SPEI-3, and SPEI-6 are persistent (0.5<α0<1); stronger persistence is found at higher accumulation time scales, while the SPEI-12 time series is antipersistent (0<α01<0.5). The degree of multifractality increases from SPEI-1 to SPEI-6 and decreases for SPEI-12. In the second period, the SPEI-1, SPEI-3, and SPEI-6 series become more persistent with weaker multifractality, indicating that short and medium dry/wet conditions (which are related to soil moisture and crop stress) become easier to predict, while SPEI-12 changed toward a more random regime and stronger multifractality in the eastern and central parts of the country, indicating that long-term dry/wet conditions (related to streamflow, reservoir levels, and groundwater levels) become more difficult for modeling and prediction. These results indicate that the complexity of dry/wet conditions, in this case described by the multifractal properties of the SPEI temporal series, is affected by climate change. Full article
(This article belongs to the Special Issue The Future of Water, Energy and Carbon Cycle in a Changing Climate)
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Figure 1

Figure 1
<p>Position of Serbia in Europe and map of Serbia with its orography and major rivers.</p>
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<p>Multifractal spectra for SPEI-1 for a sample grid point at latitude 43.15 and longitude 22.45, corresponding to the city of Pirot for the two accumulation periods 1961–1990 and 1991–2020. In the top row, the fluctuation function versus scale on the log-log plot is displayed, together with linear fits for different <math display="inline"><semantics> <mrow> <mi>q</mi> </mrow> </semantics></math> values. In the middle row, the functions <math display="inline"><semantics> <mrow> <mi>H</mi> <mo>(</mo> <mi>q</mi> <mo>)</mo> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>τ</mi> <mfenced separators="|"> <mrow> <mi>q</mi> </mrow> </mfenced> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>f</mi> <mfenced separators="|"> <mrow> <mi>α</mi> </mrow> </mfenced> </mrow> </semantics></math> are shown (lines serve to guide the eye), and in the bottom row, the maps of the parameter <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>α</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> are shown, emphasizing the chosen sample grid point position (bold squares in the southeast) for the period 1961–1990 (<b>bottom left</b>) and 1991–2020 (<b>bottom right</b>).</p>
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<p>Mutifractal parameter <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>α</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> for SPEI-1, SPEI-3, SPEI-6 and SPEI-12 across Serbia for the periods 1961–1990 and 1991–2020. To emphasize the difference between the parameters among the two periods, the range of the color bar is adjusted to cover (roughly) <math display="inline"><semantics> <mrow> <mo>±</mo> <mn>2</mn> </mrow> </semantics></math> standard deviations of the mean of <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>α</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> for each SPEI accumulation period.</p>
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<p>Mutifractal parameter <math display="inline"><semantics> <mrow> <mi>W</mi> </mrow> </semantics></math> for SPEI-1, SPEI-3, SPEI-6 and SPEI-12 across Serbia for the periods 1961–1990 and 1991–2020.</p>
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<p>Mutifractal parameter <math display="inline"><semantics> <mrow> <mi>r</mi> </mrow> </semantics></math> for SPEI-1, SPEI-3, SPEI-6 and SPEI-12 across Serbia for the periods 1961–1990 and 1991–2020.</p>
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