Aparna Yadu, Biju Prava Sahariah, Jayapal Anandkumar
{"title":"Anaerobic Naphthalene Biotransformation Coupled to Sulfate Reduction","authors":"Aparna Yadu, Biju Prava Sahariah, Jayapal Anandkumar","doi":"10.1002/clen.202400049","DOIUrl":"https://doi.org/10.1002/clen.202400049","url":null,"abstract":"<div>\u0000 \u0000 <p>Polycyclic aromatic hydrocarbons (PAHs) are a diverse group of hazardous and toxic pollutants widely distributed in the environment. The anaerobic degradation is a promising technique for the removal of recalcitrant aromatic hydrocarbons from waste stream. In this study, anaerobic degradation of naphthalene (NAP) was investigated by using cow dung-enriched mixed microbial consortia with varying NAP and sulfate concentrations. The maximum removal of NAP (99.8%) and sulfate (68%) was achieved while varying the sulfate concentration from 50 to 500 mg/L in 500 mg/L NAP influent concentration. 41.9 mg/L of sulfate was generated during this study. Similarly, when NAP concentration was varied from 100 to 1000 mg/L, 84% of chemical oxygen demand (COD), 74% of sulfate, and 92% of NAP were observed at constant sulfate concentration of 250 mg/L. This result reveals that sulfate concentration had no significant effect on NAP degradation. NAP mineralization was evidenced by the formation of sulfide and production of metabolites with decreasing NAP concentration. Gas chromatography–mass spectrometry (GC–MS) confirmed the formation of metabolites like naphthol and 1,2-dihydroxynaphthalene due to monooxygenation at C-1 as part of the metabolic pathway. The rate of NAP, COD, and sulfate removal followed the first-order kinetics with high regression coefficients while varying the influent NAP concentrations.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 12","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142868832","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}
Ricky Handersen, Joan Christie Wijaya, Hans Victor, Jonathan Suciono Purnomo, Melanie Cornelia, Bambang Kiranadi, Eduwin Pakpahan, Reinhard Pinontoan
{"title":"Commercial Blue Textile Dye Decolorization Using Aspergillus oryzae RH1 Isolated From Fermented Miso","authors":"Ricky Handersen, Joan Christie Wijaya, Hans Victor, Jonathan Suciono Purnomo, Melanie Cornelia, Bambang Kiranadi, Eduwin Pakpahan, Reinhard Pinontoan","doi":"10.1002/clen.202300455","DOIUrl":"https://doi.org/10.1002/clen.202300455","url":null,"abstract":"<p>The improper treatment of effluents from the textile industry is associated with severe health and environmental hazards. This study aimed to isolate and characterize miso-paste fungi that can decolorize commercial blue textile dyes (identified as Reactive Violet 5 [RV5] through spectral comparison). Response surface methodology (RSM) was employed to determine the optimal decolorization conditions, whereas molecular docking was performed to propose an enzymatic degradation mechanism. One colony, displaying the typical morphological characteristics of <i>Aspergillus oryzae</i> common in miso-paste starters, exhibited high decolorization potential for RV5. Validation of the RSM analysis using whole fungus <i>A. oryzae</i> RH1 revealed a decolorization performance of 92.33% under the following optimized conditions: 33°C, pH 6.2, dye concentration of 200 ppm, and incubation period of 6 days. The optimal conditions for dye degradation via enzymatic catalysis, with peroxidase as the enzyme, were 51°C and pH 3.0, resulting in a decolorization performance of 48.95% after 60 min of incubation. Molecular docking analysis suggested that the DyP-type peroxidase produced by <i>A. oryzae</i> RH1 can oxidize the azo bond, which is the chromophore group of RV5. In addition, biosorption was found to play a significant role in the decolorization of <i>A. oryzae</i> RH1. Altogether, these findings lay the basis for the use of <i>A. oryzae</i> RH1 in bioreactor systems for textile wastewater treatment.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 12","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142868626","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}
Laura Alessandra Prado Milani, Ana Carolini Córneo Zanette, Natalí Bianca Rafael Olária Dauzacher, Denis Depieri Crippa, Graziele Vefago Boaventura Possenti, Rodrigo Battisti
{"title":"Sustainable Bio-Adsorbents From Banana Post-Harvest Agricultural Residues: Kinetics, Equilibrium, and Mechanism Prospection of Methylene Blue Dye Adsorption","authors":"Laura Alessandra Prado Milani, Ana Carolini Córneo Zanette, Natalí Bianca Rafael Olária Dauzacher, Denis Depieri Crippa, Graziele Vefago Boaventura Possenti, Rodrigo Battisti","doi":"10.1002/clen.202400020","DOIUrl":"https://doi.org/10.1002/clen.202400020","url":null,"abstract":"<div>\u0000 \u0000 <p>Water pollution from industrial-colored effluents, generated by large volumes of liquid effluents containing synthetic dyes, generally harmful and non-biodegradable, affects environmental biota and human health. Considering the potential use as bio-adsorbents of agro-industrial residues, in the present work insights into the kinetics, equilibrium, and mechanism of the methylene blue (MB) dye adsorption by six bio-adsorbents produced from the post-harvest residues from the banana tree, a widely cultivated crop in Brazil, were investigated. The six prepared bio-adsorbents were tested to verify the adsorption capacity as gross residues, after carbonization, and after alkaline-chemical activation. Bench-scale experiments conducted at different conditions showed that experimental data were better described by the Langmuir isotherm, by the intraparticle diffusion model (with external diffusion being the dominant step), followed by the pseudo-second-order model, indicating the predominance of monolayer chemisorption. In addition, maximum adsorption capacities ranged between 10.55 and 25.51 mg/g, with a higher dye removal rate at alkaline pH. The adsorption of the MB dye onto the six produced bio-adsorbents occurred through both polar and nonpolar interactions. The overall study indicated that both the pseudo-stem and the leaves from post-harvest banana crops could be a cost-effective natural bioresource for producing efficient and sustainable bio-adsorbents for treating colored liquid effluents.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116948","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}
Saurabh Samuchiwal, Saurabh Saraswat, Vivek Kumar Nair, Aman Chaudhary, Anushree Malik
{"title":"Comparison of Machine Learning Algorithms for Prediction of Textile Effluent Treatment Efficiency Using Anaerobic Process","authors":"Saurabh Samuchiwal, Saurabh Saraswat, Vivek Kumar Nair, Aman Chaudhary, Anushree Malik","doi":"10.1002/clen.202400009","DOIUrl":"https://doi.org/10.1002/clen.202400009","url":null,"abstract":"<div>\u0000 \u0000 <p>The prediction of pollutants removal efficiency from the generated effluent of a treatment plant is valuable and can reduce the time, sampling and energy required during performance assessment. The present study aims to predict the effect of different input parameters on the treatment efficiency of the developed microbial-based anaerobic process for textile effluent using machine leaning algorithms. The decolourisation and chemical oxygen demand (COD) reduction of the treated effluent were predicted on the basis of the three different input parameters pH, COD and colour value of the textile wastewater. The effectiveness of different machine learning algorithms, support vector machines (SVM), random forest (RF), gradient boost regressor (GBR), AdaBoost, extreme gradient boosting (XGB) regressor and voting regressor, were evaluated based on the correlation coefficient (<i>R</i><sup>2</sup>) value. The results revealed that the RF achieved the highest accuracy for decolourisation (training data <i>R</i><sup>2</sup>: ∼0.85 and test data <i>R</i><sup>2</sup>: ∼0.84) as well as COD reduction (training data <i>R</i><sup>2</sup>: ∼0.87 and test data <i>R</i><sup>2</sup>: ∼0.94) compared to the other algorithms. These results were validated experimentally, confirming that RF can be used as a tool to predict the performance efficiency of a microbial-based treatment system.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113172","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":"A Comprehensive Review on the Biofilm-Mediated Removal of Nitrogen and Chemical Oxygen Demand From Different Wastewater Sources","authors":"Modhurima Misra, Pranati Das, Anshita Mehra, Soham Chattopadhyay","doi":"10.1002/clen.202300282","DOIUrl":"https://doi.org/10.1002/clen.202300282","url":null,"abstract":"<div>\u0000 \u0000 <p>Discharging effluents with high chemical oxygen demand (COD) and nitrogen content into the environment threatens human and aquatic life. An increase in nitrogen load results in depletion of dissolved oxygen (DO), eutrophication, ecological stress, and biodiversity loss. Intake of water containing excess nitrate can cause different diseases. Conventional physicochemical nitrogen removal techniques are expensive and also generate secondary pollutants. In contrast, biological methods offer effective and economical outcomes with global acceptance. Biofilm-based techniques have the advantages of low space requirement, resistance toward toxic shocks, and absence of sludge backflow. The carriers used in biofilm reactors allow the growth of heterogeneous microbial consortia, which can simultaneously remove COD, nitrogenous compounds, and phosphates. This review aims to summarize the outcomes of the individual lab-scale research in this area, critically analyze the scientific findings, and understand the research gap. Conventional nitrification–denitrification and anammox have often been replaced by more efficient approaches such as simultaneous nitrification–denitrification, partial nitrification–denitrification, partial nitritation and anammox, and simultaneous partial nitrification, anammox, and denitrification. Multistage moving bed biofilm reactors have been specially designed with step feeding for complete nitrogen removal. Through anammox in a sequencing batch reactor, a high rate of denitrification could be obtained, whereas simultaneous nitrification–denitrification using a membrane bioreactor resulted in almost complete removal of nitrogen. We expect that this review will provide the direction for designing experiments on enhanced removal of nitrogen and COD from different wastewater sources using microbial biofilms.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 12","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867969","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}
Hui Yuan, Shaoqiang Han, Ye Tian, Ying Zhang, Zhe Bo, Jiahong Liu
{"title":"Water Quality Evaluation With Entropy Weight‒Grey Correlation Technique for Fishing Operation Area in Tianjin, China","authors":"Hui Yuan, Shaoqiang Han, Ye Tian, Ying Zhang, Zhe Bo, Jiahong Liu","doi":"10.1002/clen.202300356","DOIUrl":"https://doi.org/10.1002/clen.202300356","url":null,"abstract":"<p>The discharge of domestic sewage and waste oil from fishery activities can cause adverse impacts on coastal seawater in bays and estuaries. The Bohai Sea near Tianjin features strong water closure and weak self-purification ability. The objective evaluation and analysis of pollution characteristics are crucial for assessing the quality of coastal seawater. This evaluation is essential for the sustainable development of traditional marine fisheries and serves as a powerful tool for government decision-making. To this end, we constructed an entropy weight‒grey correlation technique for order preference by similarity to an ideal solution (TOPSIS) model (EWGCT) based on the traditional TOPSIS evaluation approach to evaluate the water quality of five fishing ports and operation areas. The spatial distribution characteristics, pollution characteristics, and key impactful indicators were identified via a geographic information system (GIS) and multivariate statistical analysis. The results show that (1) the EWGCT has the ability to rank water quality universally and evaluate it based on the comprehensive impact of all pollution factors; (2) petroleum (PETRO) was affected mainly by the waste oil discharged, and suspended solids (SS), dissolved inorganic phosphate (DIP), and fecal coliform bacteria (FCB) were affected mainly by the domestic sewage discharged; and (3) effective management of fishing vessel discharge is important for ensuring the quality of the seawater environment. By establishing the EWGCT, the reliability and rationality of the evaluation results are verified, which can provide a reference for the formulation of development strategies for coastal cities.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202300356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of Intercropping Soybean on the Diversity of the Rhizosphere Soil Arbuscular Mycorrhizal Fungi Communities in Wheat Field","authors":"Lu Xingli","doi":"10.1002/clen.202400348","DOIUrl":"https://doi.org/10.1002/clen.202400348","url":null,"abstract":"<p>CLEAN—Soil, Air, Water, 2022, 50 (6). 2100014. http://doi.org/10.1002/clen.202100014.</p><p>In the initially published article, the units of the crop yield in Table 5 were calculated in jin mu<sup>−1</sup>, not kg hm<sup>−2</sup> due to my careless. 1 jin mu<sup>−1</sup> = 500 g/666.67 m<sup>2</sup>.</p><p>In the published article, Table 5 is given as:</p><p>The new version of the table is:</p><p>Further, on Page 4, Section 2.5 “Effects of Different Intercropping Models on Crop Yield,” the current sentence:</p><p>“The group yield was highest under the RSW model (1515.97 kg ha<sup>−1</sup>).” should be given as:</p><p>“The group yield was highest under the RSW model (11369.76 kg ha<sup>−1</sup>).”</p><p>In addition, the study was supported by National Natural Science Foundation of China (31860361), The fourth lifting project of Ningxia young scientific and technological talents (TJGC2019075), National Natural Science Foundation of Ningxia (2019AAC03055).</p><p>The calculation error does not affect the results or conclusions of the manuscript. The author apologizes for any inconvenience or misunderstanding that this error may have caused.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 11","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202400348","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Short-Term Benefits of Tillage and Agronomic Biofortification for Soybean–Wheat Cropping in Central India","authors":"Raghavendra Nargund, Rakesh Kumar Verma, Aketi Ramesh, Mahaveer Prasad Sharma, Hanamant Mudakappa Halli, Prabhu Govindasamy","doi":"10.1002/clen.202300300","DOIUrl":"https://doi.org/10.1002/clen.202300300","url":null,"abstract":"<div>\u0000 \u0000 <p>In a changing climate, conservation tillage and agronomic biofortification are essential for enhancing crop yield, nutritional security, carbon stocks, and soil quality. Consequently, a field study was conducted in central India to assess the short-term (4 years) effects of crop establishment techniques (CETs) and agronomic biofortification methods (ABMs) on soil health indicators, grain yield, and quality in the soybean–wheat cropping system. The experiment followed a split-plot design with two CETs in the main plots (permanent broad bed furrow, PBBF, and conventional tillage, CT) and eight ABMs, each with three replications. The results indicated that PBBF and ABMs (seed inoculation with the microbial strains MDSR 14 + MDSR 34, and soil and foliar application of Zn+Fe) improved soil carbon stock (by 49.6% and 52.4%), available nitrogen, phosphorus, potassium, available Zn (by 30.0%), and Fe (by 21.9%) after the fourth year of the study. Similarly, PBBF and microbial inoculation increased soil enzyme activities (dehydrogenase, acid phosphatase, and β-glucosidase), substrate-induced respiration, and microbial biomass carbon content. As a result, a higher soybean equivalent yield (5.59% higher in PBBF and 14.2% higher with foliar spray of Zn+Fe) and seed quality attributes (crude protein yield, grain Zn, and Fe) were observed in PBBF and the foliar spray of Zn and Fe treatments compared to CT and control, respectively. Overall, adopting the short-term PBBF system, microbial inoculation, and soil and foliar application of Zn and Fe improved rhizosphere biochemical properties, yield, and seed quality in the soybean–wheat system.</p>\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 11","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665836","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}