{"title":"Improved Biodegradation of Reactive Red 120 by Pseudomonas aeruginosa JU_CHE_01: Isolation, Characterization, and Statistical Optimization","authors":"Deepa Goswami, Priyanka Sarkar, Jayanti Mukherjee, Chanchal Mondal, Biswanath Bhunia","doi":"10.1002/clen.70017","DOIUrl":"https://doi.org/10.1002/clen.70017","url":null,"abstract":"<div>\u0000 \u0000 <p>A textile industry effluents contaminated soil-derived strain of Reactive Red 120 (RR120) dye-degrading bacteria was shown to be extremely effective and metabolically adaptable. <i>Pseudomonas aeruginosa</i> JU_CHE_01 (OR388872) was the isolated strain, as determined by phylogenetic analysis. <i>P. aeruginosa</i> JU_CHE_01 shown the ability to break down 600 mg/L concentration of RR120 dye along with many harmful textile azo dyes. The strain also showed resistance to ampicillin and cefradine but remained susceptible to other tested antibiotics. Five process factors were evaluated for optimal condition using the Taguchi approach. Three physicochemical parameters (pH, temperature, and inoculum dose) and two media components (glucose and yeast extract) were optimized because of their significant impact on RR120 biodegradation. The L-18 orthogonal arrays (OAs) architecture was utilized in the design of multiple experimental studies. Analysis of the experimental data was done using the signal-to-noise (S/N) ratio with the “larger is better” features to determine the key variables and ideal circumstances for optimizing RR120 dye biodegradation. When the predicted data was validated using the confirmatory experiments, it was found that under the ideal conditions of glucose and yeast extract of concentration 1 g/L each, pH 8, temperature 37°C, and inoculum dose 10% (v/v) in 48 h, 97.63% of the RR120 dye degradation could be achieved, leading to a 66.75% enhancement in the RR120 degradation. Analysis of variance (ANOVA) indicated that the nitrogen source (yeast extract) and carbon source (glucose) significantly influenced RR120 biodegradation, accounting for 27.933% and 19.526%, respectively, followed by pH at 4.664%, temperature at 13.476%, and inoculum dose at 28.951%.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 7","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extraction and Preconcentration of Polycyclic Aromatic Hydrocarbons in Saffron and Tea Samples Using Magnetite-Sporopollenin/Graphene Oxide","authors":"Haleh Omoori Sarabi, Javad Feizy, Zarrin Es'haghi","doi":"10.1002/clen.70002","DOIUrl":"https://doi.org/10.1002/clen.70002","url":null,"abstract":"<div>\u0000 \u0000 <p>A synthesized adsorbent based on magnetite-saffron stamen sporopollenin/graphene oxide (Fe<sub>3</sub>O<sub>4</sub>-SSSP/GO) was successfully developed and validated for the determination of polycyclic aromatic hydrocarbons (PAHs) in various environmental matrices using gas chromatography–mass spectrometry. The saffron stamen was utilized to obtain sporopollenin, which was then magnetized employing Fe<sub>3</sub>O<sub>4</sub> followed by GO to produce a sorbent of the Fe<sub>3</sub>O<sub>4</sub>-SSSP/GO type. The result indicates that the Fe<sub>3</sub>O<sub>4</sub>-SSSP/GO is a suitable sorbent for solid-phase extraction of four PAHs: benzo[a]anthracene (BaA), chrysene (Chr), benzo[b]fluoranthene (BbF), and benzo[a]pyrene (BaP), found in tea and saffron samples. Scanning electron microscopy and Fourier-transform infrared spectroscopy were used to characterize the sorbent. Taguchi analysis was employed to optimize the main parameters for extraction, such as sample volume, sorbent amount, desorption volume, and pH of the investigated PAHs. The calibration curve for determining BaA, Chr, BbF, and BaP was investigated in the 0.5 to 500 ng mL<sup>−1</sup> range. The limit of detection (LOD, S/N = 3) and limit of quantification (LOQ, S/N = 10) were between 0.03 and 0.14 ng mL<sup>−1</sup>. The sorbent was successfully applied to saffron and tea samples with good precisions calculated by relative standard deviation (RSD) less than 8.2% and acceptable accuracy with relative recovery ranging from 73.2 to 111.0% for saffron and 58.4 to 93.0% for tea.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 6","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial Distribution and Source Identification of Trace Metals in Topsoil in Nanyang City, Henan Province, China","authors":"Dongxue Yang, Guilin Han, Rui Qu, Yuqing Zhao, Qiuyao Dong, Chao Song","doi":"10.1002/clen.70016","DOIUrl":"https://doi.org/10.1002/clen.70016","url":null,"abstract":"<div>\u0000 \u0000 <p>Trace metals (TMs) in soil have garnered widespread attention due to their adverse impacts on crop production and human health. In this study, 385 topsoil samples (0–20 cm) and 118 deep soil samples (150–200 cm) were collected from Nanyang City to investigate the spatial distribution, contamination, and source allocation of TMs. Geographic information system analysis, contamination factor (CF), geo-accumulation index (<i>I</i><sub>geo</sub>), and positive matrix factorization (PMF) model were utilized. The results showed that the mean contents of Cu, Hg, Pb, and Zn in the study area's topsoil (25.50, 0.035, 28.51, and 79.46 mg kg<sup>−1</sup>) exceeded background values. CF and <i>I</i><sub>geo</sub> results indicated that over 60% of soil samples were contaminated by Hg, the main contaminant in soil. By combining correlation and PMF analysis, three sources of TMs were identified for (a) Pb (75.4%), Hg (63.7%), and Zn (55.6%), primarily associated with industrial emissions and atmospheric deposition; (b) Co (57.5%), Cr (50.8%), Cu (59.2%), and Ni (46.4%) mainly originated from natural sources; and (c) As (72.8%) primarily from agricultural activities. The proportions of the three sources were 36.27%, 39.76%, and 23.97%, respectively. Anthropogenic sources contributed the most to soil TMs (60.24%), higher than natural sources, indicating substantial accumulation of TMs in topsoil due to significant anthropogenic activities. This study provided useful information for environmental management planning, decision-making, and contamination assessment.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 5","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Biodegradation of the Pesticide Diazinon by Bacteria Isolated From a Contaminated Soil","authors":"Mona Mansouri, Aptin Rahnavard, Masood Ghane","doi":"10.1002/clen.70012","DOIUrl":"https://doi.org/10.1002/clen.70012","url":null,"abstract":"<div>\u0000 \u0000 <p>Our research focused on the identification and isolation of diazinon (DZ)-degrading bacteria, as DZ is one of the most commonly used organophosphate pesticides in orchards and farms. We collected samples from a garden in Iran where DZ has been used for a long time. This allowed us to extract three types of bacteria capable of degrading DZ. Through biochemical and molecular tests, these bacteria were identified as <i>Pseudomonas oryzihabitans</i>, <i>Enterobacter kobei</i>, and <i>Serratia</i> species. The bacteria were cultured for 10 days in broth and soil media with DZ concentrations of 10 and 20 ppm. The degradation and utilization of the toxin by the bacteria were measured using gas chromatography. The results indicated that <i>P. oryzihabitans</i> degraded the toxin at concentrations of 10 and 20 ppm in liquid medium by 47.1% and 27.45%, respectively. In soil medium, the bacteria degraded 96.5% and 97.1% of the toxin at the same concentrations. <i>Serratia</i> sp. degraded DZ in broth medium with initial concentrations of 10 and 20 ppm by 64.3% and 78.4%, respectively. Additionally, these bacteria were able to degrade DZ by 90.2% and 98.25% in soil. <i>E. kobei</i> consumed DZ in the broth and soil media at rates of 23.1% and 17.95% and 31.19% and 88.05%, respectively. According to the results, <i>P. oryzihabitans</i> exhibited the highest degradation capacity compared to the other bacteria. Collectively, these three bacteria demonstrate a significant ability to biologically remediate environments contaminated with DZ.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143857105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Oxytetracycline Hydrochloride Adsorption by Biochar From Loofah Sponge Using Response Surface Method","authors":"Fanbao Deng, Jihong Zhao, Xiaoqian Yin, Xue Song, Yongde Liu, Jie Zhang, Tianrun Bai, Liwen Zhang","doi":"10.1002/clen.70011","DOIUrl":"https://doi.org/10.1002/clen.70011","url":null,"abstract":"<div>\u0000 \u0000 <p>A potential biochar (KLS<sub>F</sub>-BC) was prepared by pyrolysis of loofah sponge (LS) at 600°C using KOH as an activator to adsorb oxytetracycline hydrochloride (OTCH). The response surface method (RSM) was applied to obtain the best preparation parameters (the first pyrolysis temperature of 573°C and pyrolysis time of 138 min, LS<sub>F</sub>-BC/KOH, 1:3, m/m) and adsorption conditions (OTCH concentration: 100 mg L<sup>−1</sup>, adsorbent dosage: 0.84 g L<sup>−1</sup>, adsorption time: 28 min, initial solution pH: 5.1), under which the adsorption capacity of KLS<sub>F</sub>-BC for OTCH was 662.96 mg g<sup>−1</sup>. The adsorption data of OTCH on KLS<sub>F</sub>-BC conformed to the pseudo-second-order model and Freundlich model. The removal mechanisms of OTCH involved hydrogen bonding, π–π EDA interaction, pore filling, and electrostatic interactions. The study confirmed the great potential and significant application prospects of KLS<sub>F</sub>-BC for removing OTCH from wastewater, providing a valuable reference for biomass resource utilization and antibiotics treatment.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143793548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Asymmetric Association Between Trade Uncertainty and Environmental Quality: Evidence From Newly Industrialized Economies","authors":"Baoyi Ji, Sajid Ali","doi":"10.1002/clen.70010","DOIUrl":"https://doi.org/10.1002/clen.70010","url":null,"abstract":"<div>\u0000 \u0000 <p>The world has experienced a considerable increase in trade uncertainty (TUN) during the last several decades, with environmental and economic consequences. However, the prior research on the nexus between TUN and the environmental quality (ENQ) records contradictory results, which may be inconvenient when recommending environmental protection policies. The goal of this research was to look into the asymmetric link between TUN and ENQ in the selected newly industrialized economies. Previous studies utilized panel data methods, yielding similar conclusions about the linkage between TUN and ENQ, regardless of the truth that many economies did not develop such interconnectednhess individually. On the other hand, the current work employs a distinctive methodology, “quantile-on-quantile,” that allows researchers to analyze time-series dependency in every nation by providing universal yet economy-specific details on the association between the variables. As per estimates, TUN boosts ENQ in majority of our selected nations. Moreover, the results reveal that the degree of asymmetries amidst the variables differs by nation, highlighting the requirement for policymakers to pay particular attention while implementing trade and environment sustainability policies.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}