Article
Green & Sustainable Science & Technology
Shengqiang Hei, Hui Xu, Yanchen Liu, Biming Liu, Shuo Zhang, Xianzheng Zhu, Weichen Lin, Lu Chen, Haisha Jiang, Xianwei Cheng, Xiaolei Yong, Xiaoyi Wu, Xia Huang
Summary: Phosphorus removal from wastewater is crucial for limiting water eutrophication. This study focused on enhancing biological phosphorus removal (BPR) efficiency in real full-scale municipal wastewater treatment plants (WWTPs) through improved redox environment and reduced chemicals consumption. The results showed that the strategy successfully increased BPR contribution, reduced chemicals dosage, and enriched phosphate-accumulating organisms (PAO) in the treatment process.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Environmental
Saurabh Mishra, Virender Singh, Liu Cheng, Abid Hussain, Banu Ormeci
Summary: The present study provides a comprehensive review of biological nitrogen removal (BNR) technologies, including both conventional and emerging methods. The study covers mechanisms, operational parameters, efficacies, and process control strategies, as well as recent developments, challenges, and ongoing research trends. Additionally, the economic aspects of BNR processes are evaluated to assess their feasibility in wastewater treatment plants of different capacities.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
Article
Environmental Sciences
Yuhe He, Laura Patterson-Fortin, Jenny Boutros, Richard Smith, Greg G. Goss
Summary: The AOS system effectively removes bacterial and organic contaminants from wastewater but may generate secondary oxidative species that pose hazards to aquatic organisms. Exposure to AOS treated water and its long-term effects on aquatic organisms require further investigation. The study showed that AOS treatment significantly reduced adverse effects on aquatic species exposed to treated wastewater effluent and model organic contaminants.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Review
Agricultural Engineering
Ahmad Hosseinzadeh, John L. Zhou, Amir H. Navidpour, Ali Altaee
Summary: OMBR is an innovative process with superior performance in bioenergy production, contaminant removal, and low fouling tendency. However, salinity build-up is its main drawback. Identifying microbial communities can improve bioenergy production and contaminant treatment processes.
BIORESOURCE TECHNOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Monica Vergara-Araya, Henning Oeltze, Jenny Radeva, Anke Gundula Roth, Christian Goebbert, Robert Niestroj-Pahl, Lars Dahne, Juergen Wiese
Summary: Hybrid ceramic membranes are effective in removing micropollutants from water, including pharmaceuticals and organic pollutants in wastewater. However, further research is needed to determine the cleaning protocols and ensure the stability of the membranes.
Article
Biotechnology & Applied Microbiology
Siphesihle Mangena Khumalo, Babatunde Femi Bakare, Emmanuel Kweinor Tetteh, Sudesh Rathilal
Summary: This study investigated the removal of orthophosphates and COD from brewery wastewater using an anaerobic-aerobic sequencing batch reactor. The results showed that the system achieved removal efficiencies of 69% for orthophosphates and 54% for total COD under specific temperature and retention time conditions.
FERMENTATION-BASEL
(2022)
Article
Engineering, Environmental
Carlo Salerno, Giovanni Berardi, Barbara Casale, Alfieri Pollice
Summary: The self-forming dynamic membrane bioreactor (SFD MBR) is an evolution of the conventional ultrafiltration-based MBR where filtration occurs through a cake layer (dynamic membrane, DM) supported by a filtration net. The effluent quality levels that may be achieved through this technology are comparable to those of conventional MBR and suitable for effluent reuse, as shown in previous research. SFD MBR are more sustainable, both in terms of investment costs and operation. However, periodic maintenance cleaning is still required to ensure high and constant effluent quality and steady operation.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Engineering, Environmental
P. L. Pasquet, M. Villain-Gambier, D. Trebouet
Summary: Through evaluating the clarification capacity of seven different membranes with varying pore sizes, a suitable membrane filter was identified for removing particles, retaining phenolic compounds, and facilitating cleaning in brewery wastewater. This screening method is of great significance for the development of sustainable brewery industry.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Adil Ashraf, Racchana Ramamurthy, Eldon R. Rene
Summary: This review recommends waste effluent treatment and residual management for the brewery industry through a systematic literature review. The focus is on reducing environmental and health impacts by analyzing different industrial unit operations and processes for wastewater treatment.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Environmental Sciences
Elaine Y. S. Soh, Siew Shee Lim, Kit Wayne Chew, Xin Wei Phuang, Victoria M. V. Ho, Kevin Y. H. Chu, Rui Rui Wong, Lai Yee Lee, T. Joyce Tiong
Summary: The research demonstrated that using spent brewery yeast as a biosorbent can effectively remove dye pollutants from textile wastewater, with the addition of ultrasonication improving dye recovery. The optimal dosage for adsorption was found to be 4 g/L of biosorbent, with adsorption equilibrium fitting the Langmuir model and kinetics best fitting pseudo-second order model.
ENVIRONMENTAL RESEARCH
(2022)
Review
Green & Sustainable Science & Technology
Vinay Kumar, Munish Sharma, Sonica Sondhi, Komalpreet Kaur, Deepak Sharma, Shivali Sharma, Divya Utreja
Summary: In the past decade, there has been a sudden increase in the number and types of emerging water contaminants. Inorganic pollutants are more common than organic pollutants, but there is still a need for advancements in detection and remediation techniques. This paper discusses major inorganic pollutants, such as metals and their salts, inorganic fertilizers, sulfides, acids and bases, and ammonia and oxides of nitrogen, and presents updated methods for their quantification and mitigation.
Review
Microbiology
Kiprotich Kosgey, Phumza Vuyokazi Zungu, Faizal Bux, Sheena Kumari
Summary: The study suggests that partial nitrification/anammox requires lower oxygen demand, does not need organic carbon supply, and produces less sludge compared with nitrification/denitrification, making it a promising alternative for nitrogen removal in wastewater.
FRONTIERS IN MICROBIOLOGY
(2022)
Review
Environmental Sciences
Ling Yao, Hui Yang, Zhongshan Chen, Muqing Qiu, Baowei Hu, Xiangxue Wang
Summary: Different forms of organic compounds are toxic and harmful, leading to issues like eutrophication and odorous water. Photocatalysis is seen as a promising technology to degrade these pollutants into non-toxic inorganic materials under visible light. Bismuth oxychloride (BiOCl) is a potential photocatalyst, but its wide band gap limits its performance. Various methods to enhance its photocatalytic activity have been reviewed, along with the application and future prospects of BiOCl in pollution management.
Review
Agricultural Engineering
Rashmi Gondi, S. Kavitha, R. Yukesh Kannah, Obulisamy Parthiba Karthikeyan, Gopalakrishnan Kumar, Vinay Kumar Tyagi, J. Rajesh Banu
Summary: Algal bioremediation via algae biotechnology is a cost-effective solution for emerging pollutants in wastewater, but it is not fully developed commercially. Research has focused on developing different technologies and strategies to meet specific needs, with challenges including the selection of suitable algal species and operational conditions in pilot-scale studies.
BIORESOURCE TECHNOLOGY
(2022)
Article
Agricultural Engineering
Siran Feng, Huu Hao Ngo, Wenshan Guo, Soon Woong Chang, Dinh Duc Nguyen, Dongle Cheng, Sunita Varjani, Zhongfang Lei, Yi Liu
Summary: This review focuses on the significance and mechanism of enzymes in wastewater treatment. Enzymes can be used as efficient catalysts for degrading resistant pollutants. The article discusses enzyme types, sources, treatment processes, and potential future research directions.
BIORESOURCE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Yuhao Wang, Yue Zhang, Mingcheng Xiao, Huilin Zhou, Qiegen Liu, Jianfei Gao
Summary: This paper proposes a physical model-driven deep network approach, represented by CS-Net, to solve target image reconstruction problems in through-the-wall radar imaging. By introducing a convolutional neural network prior to capture the redundancy of radar echo signals and using the physical model of radar signals to encourage data consistency, the method is able to extract high-dimensional features from a large amount of training data for reconstructing spatial target images effectively. Simulation results show that the proposed method outperforms traditional CS methods in terms of accurate target image reconstruction and preservation of target texture details.
INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES
(2023)
Article
Chemistry, Multidisciplinary
Kang Peng, Yuanyuan Li, Gonggen Tang, Yahua Liu, Zhengjin Yang, Tongwen Xu
Summary: In the development of aqueous organic redox flow batteries (AORFBs), anthraquinone derivatives (AQs) attract a great deal of attention as promising negative electrolytes. This study presents a solvation regulation strategy to extend the lifetime of 2,6-dihydroxyanthraquinone (DHAQ) electrolytes by incorporating tetramethylammonium cations (TMA(+)) to interfere with the solvation structure of DHAQ(2-)/DHAHQ(4-) anions. The strategy effectively reduces the capacity fade rate of DHAQ/K4Fe(CN)(6) cells caused by electrolyte decomposition.
ENERGY & ENVIRONMENTAL SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Yuanyuan Li, Yiwei Ma, Tian Tian, Haoyang Tan, Cuiting Sun, Tao Geng, Libo Yuan
Summary: This article proposes and investigates a compact omega-shaped long-period fiber grating (OS-LPFG) for vector bending measurement. The OS-LPFG can distinguish bending direction and achieve curvature sensitivities in X-, Y-, and -X-directions of 12.03, -69.95, and -19.84 nm/m(-1) in the range of 0-1.5 m(-1), respectively. Additionally, the sensor has a small temperature crosstalk of 0.0011 m(-1)/°C in the temperature range of 20°C-110°C. The compact structure of the sensor with a length of 1.5 mm is achieved through the strong refractive index (RI) modulation induced by the fabrication method, providing a feasible idea for compact fiber curvature sensor design.
IEEE SENSORS JOURNAL
(2023)
Article
Biochemistry & Molecular Biology
Xuewei Zhao, Mengmeng Zhang, Xin He, Qinyao Zheng, Ye Huang, Yuanyuan Li, Sagheer Ahmad, Dingkun Liu, Siren Lan, Zhongjian Liu
Summary: This study analyzes the SPL gene family in orchids on a genome-wide scale and investigates their physicochemical properties, phylogenetic relationships, gene structures, and expression patterns. The study reveals the regulatory effect of SPLs on the development of flower organs during the flowering process in orchids.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Soil Science
Yuanyuan Li, Jiahui Liao, Han Y. H. Chen, Xiaoming Zou, Manuel Delgado-Baquerizo, Juanping Ni, Tingting Ren, Hanmei Xu, Honghua Ruan
Summary: Fertilization and drought are significant drivers of greenhouse gas emissions, but the role of soil macrofauna in mediating these responses is poorly understood. A microcosm experiment was conducted to investigate the effects of soil macrofauna on CO2, N2O, and CH4 emissions in response to varying levels of nitrogen and soil water availability. The results showed that soil fauna significantly influenced CO2 and N2O emissions and that earthworms and millipedes played important roles in modifying these emissions.
SOIL BIOLOGY & BIOCHEMISTRY
(2023)
Article
Biochemistry & Molecular Biology
Qinyao Zheng, Xuewei Zhao, Ye Huang, Meng-Meng Zhang, Xin He, Shijie Ke, Yuanyuan Li, Cuili Zhang, Sagheer Ahmad, Siren Lan, Minghe Li, Zhong-Jian Liu
Summary: This study identified DchYABBYs, DhuYABBYs, and DnoYABBYs from the genome databases of three Dendrobium species and found that they were unevenly distributed on different chromosomes. It was discovered that DchYABBY2 plays a crucial role in ovary and early petal development, DchYABBY5 is essential for lip development, and DchYABBY6 is crucial for early sepal formation. Additionally, DchYABBY1 primarily regulates sepals during blooming, and there is potential involvement of DchYABBY2 and DchYABBY5 in gynostemium development. This comprehensive genome-wide study provides important clues for future functional investigations and pattern analyses of YABBY genes in the Dendrobium species.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Biochemical Research Methods
Rui Wang, Zhipeng Zhang, Ruiyi Chen, Xiaohai Yu, Hongyu Zhang, Gang Hu, Qiegen Liu, Xianlin Song
Summary: A deep learning method is proposed to enhance the defocused resolution and signal-to-noise ratio in optical-resolution photoacoustic microscopy. Datasets with different noise levels were obtained using a virtual optical-resolution photoacoustic microscopy based on k-wave. A fully dense U-Net was trained with randomly distributed sources to improve the quality of photoacoustic images. The results show significant enhancements in PSNR, lateral resolution, and axial resolution of defocused regions.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Chemistry, Medicinal
Yingchao Yan, Yang Zhao, Huifeng Yao, Jie Feng, Li Liang, Weijie Han, Xiaohe Xu, Chengtao Pu, Chengdong Zang, Lingfeng Chen, Yuanyuan Li, Haichun Liu, Tao Lu, Yadong Chen, Yanmin Zhang
Summary: Retrosynthesis prediction is important in organic synthesis and drug discovery. Existing models lack consideration of the effects of byproducts, which this study addresses by proposing a two-stage retrosynthesis prediction framework based on byproducts. The model achieves high prediction accuracy and demonstrates potential for drug discovery.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2023)
Article
Optics
Zilong Li, Jiaqing Dong, Wenhua Zhong, Guijun Wang, Xuan Liu, Qiegen Liu, Xianlin Song
Summary: A novel depth measurement method using ultrafast optical axial scanning for shape-from-focus was proposed. By employing an electronically tunable lens and synchronizing with a CCD, multi-focus image sequence can be obtained at high speed. The proposed method extracts the focusing area of each multi-focus image based on the energy of image gradient operator to achieve stable depth measurement. Experimental results demonstrated the good depth resolution of the method within the tested depth range.
OPTICS COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Shiyu He, Jinxia Zhao, Jialu Bian, Yinyu Zhao, Yuanyuan Li, Nan Guo, Lei Hu, Boyu Liu, Qianhang Shao, Huan He, Lin Huang, Qian Jiang
Summary: This study developed a population pharmacokinetic model of dasatinib in Chinese patients with CML, and identified the covariate that could explain the individual variability of PK. The findings suggest the importance of individualized dosing for Chinese patients.
PHARMACEUTICAL RESEARCH
(2023)
Review
Chemistry, Medicinal
Cuncun Lu, Lixin Ke, Qiang Zhang, Xiuxiu Deng, Wenru Shang, Xiaoxiao Zhao, Yuanyuan Li, Yanming Xie, Zhifei Wang
Summary: This study evaluated the quality of meta-analyses on the health effects of resveratrol through a methodological systematic review. The findings showed that most of the included meta-analyses had low methodological quality and inadequate reporting. Journal's impact factor, number of authors, and funding support were positively associated with the overall methodological quality.
PHYTOTHERAPY RESEARCH
(2023)
Article
Computer Science, Information Systems
Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu
Summary: This study proposes a novel scheme that utilizes a score-based generative model in the wavelet domain to improve the image colorization task. By leveraging the properties of wavelet transform, the model effectively learns richer priors and reduces the dimension of the data manifold. Additionally, by applying data-consistency and structure-consistency conditions, remarkable improvements are achieved in both generation and colorization quality.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Article
Biochemical Research Methods
Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng
Summary: This paper proposes a Physics-based unsupervised Contrastive Representation Learning (PARCEL) method to speed up parallel MR imaging. PARCEL captures the inherent features and representations for MR images by contrastively learning two branches of model-based unrolling networks, enabling accurate MR reconstruction without relying on fully sampled datasets.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2023)
Article
Environmental Sciences
Chenhui Yang, Ye Shen, Yiqiong Zhang, Han Xiao, Xiaojie Sun, Jiaqiang Liao, Xinmei Chen, Wenxin Zhang, Ling Yu, Wei Xia, Shunqing Xu, Yuanyuan Li
Summary: This study investigates the associations between air pollution exposure and plasma fatty acid profile in pregnant women. The results show that increased exposure to air pollutants is associated with higher levels of pro-inflammatory omega-6 polyunsaturated fatty acids (n-6PUFA) and lower levels of anti-inflammatory omega-3 polyunsaturated fatty acids (n-3PUFA), particularly in pregnant women with normal BMI.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Ecology
Kejia Hu, Zuhui Zhang, Yuanyuan Li, Shiyi Wang, Tingting Ye, Jinglu Song, Yunquan Zhang, Jing Wei, Jian Cheng, Yujie Shen, Jiahao Pan, Jingqiao Fu, Jin Qi, Yiwen Guo, Yi Zeng, Yao Yao
Summary: Neighborhood greenness, especially overall greenness, is associated with a reduced risk of diabetes in older urban residents in China. This association is more pronounced in young old adults and those with higher education or income levels. Air pollution may partially mediate this association, while individual behavioral characteristics such as physical activity, BMI, and social interaction may not play a mediating role.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
