Environmental Sciences

Article Engineering, Environmental

Understanding arsenic toxicity: Implications for environmental exposure and human health

Ravidarshdeep Kaur, Atul Garkal, Lopmudra Sarode, Priyanka Bangar, Tejal Mehta, Dhirendra Pratap Singh, Rakesh Rawal

Summary: This paper investigates the occurrence, metabolism, and molecular mechanisms of arsenic as a toxicant, with a particular focus on its disruption of the nervous system.

JOURNAL OF HAZARDOUS MATERIALS LETTERS (2024)

Article Green & Sustainable Science & Technology

The 2022 report of synergetic roadmap on carbon neutrality and clean air for China: Accelerating transition in key sectors

Yu Lei, Zhicong Yin, Xi Lu, Qiang Zhang, Jicheng Gong, Bofeng Cai, Cilan Cai, Qimin Chai, Huopo Chen, Renjie Chen, Shi Chen, Wenhui Chen, Jing Cheng, Xiyuan Chi, Hancheng Dai, Xiangzhao Feng, Guannan Geng, Jianlin Hu, Shan Hu, Cunrui Huang, Tiantian Li, Wei Li, Xiaomei Li, Jun Liu, Xin Liu, Zhu Liu, Jinghui Ma, Yue Qin, Dan Tong, Xuhui Wang, Xuying Wang, Rui Wu, Qingyang Xiao, Yang Xie, Xiaolong Xu, Tao Xue, Haipeng Yu, Da Zhang, Ning Zhang, Shaohui Zhang, Shaojun Zhang, Xian Zhang, Xin Zhang, Zengkai Zhang, Bo Zheng, Yixuan Zheng, Jian Zhou, Tong Zhu, Jinnan Wang, Kebin He

Summary: China is currently facing the challenges of air pollution and climate change, and the government is actively promoting the synergy between the two. The Synergetic Roadmap project was launched in 2021 to track and analyze the progress of synergetic control in China, and the 2022 report focuses on the progress in 2021 and key actions in various sectors. China's efforts in reshaping energy, economic, and transportation structures have led to a slowdown in carbon emission growth, improved air quality, and increased health benefits in recent years.

ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY (2024)

Article Environmental Sciences

Graphitic carbon nitride nanosheets mitigate cadmium toxicity in Glycine max L. by promoting cadmium retention in root and improving photosynthetic performance

Kai Xu, Yunyu Guo, Chenghua Xing, Ronglong Fu, Bin Zou, Rongchuan Liu, Luyi Cai, Jianfang Yan, Xi. Lin Wu, Miaozhen Cai

Summary: This study demonstrates the potential of graphitic carbon nitride nanosheets (g-C3N4 NSs) in alleviating cadmium (Cd) toxicity to soybean by promoting plant growth, reducing oxidative damage, and enhancing root cell wall (RCW) components to retain Cd and prevent its migration. g-C3N4 NSs also reversed Cd-induced chlorosis and improved photosynthetic efficiency in soybean seedlings.

JOURNAL OF ENVIRONMENTAL SCIENCES (2024)

Article Green & Sustainable Science & Technology

H2 mediated mixed culture microbial electrosynthesis for high titer acetate production from CO2

Yanhong Bian, Aaron Leininger, Harold D. May, Zhiyong Jason Ren

Summary: In the microbial electrosynthesis (MES) system, high acetate titers can be achieved through improved in situ H2 supply by a nickel foam decorated carbon felt cathode, providing a promising development for MES.

ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY (2024)

Article Green & Sustainable Science & Technology

Concentration-dependent effects of reductive pulmonary inhalants on ultrafine particle-induced oxidative stress: Insights for health risk assessment

Ya-qi Yu, Tong Zhu

Summary: This study investigates the impact of reductive pulmonary inhalants on pulmonary oxidative stress induced by ultrafine particles (UFPs). The results reveal a dual role played by these inhalants in shaping the oxidative potential of composite UFPs, with both promotion and inhibition effects observed.

ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY (2024)

Article Green & Sustainable Science & Technology

Data-driven interpretable analysis for polysaccharide yield prediction

Yushi Tian, Xu Yang, Nianhua Chen, Chunyan Li, Wulin Yang

Summary: This study introduces an innovative data-driven approach using multiple artificial intelligence techniques to enhance polysaccharide production. Machine learning models and data analysis methods are used to predict polysaccharide yield and optimize enzymatic parameter combinations.

ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY (2024)

Review Green & Sustainable Science & Technology

Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

Simon Elias Bibri, John Krogstie, Amin Kaboli, Alexandre Alahi

Summary: The recent advancements in AI and AIoT have brought transformative prospects and opportunities for enhancing the environmental performance and efficiency of smart cities. This study provides a comprehensive review of smarter eco-cities and their AI and AIoT solutions for environmental sustainability. It deepens our understanding of the potential of these technologies and the challenges they pose, offering insights and perspectives for policymakers, practitioners, and researchers.

ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY (2024)

Article Engineering, Environmental

Molecular mechanisms of nano-sized polystyrene plastics induced cytotoxicity and immunotoxicity in Eisenia fetida

Falin He, Huijian Shi, Shuqi Guo, Xiangxiang Li, Xuejie Tan, Rutao Liu

Summary: Nanoplastics have significant cytotoxic and immunotoxic effects on soil organisms, resulting from oxidative stress and impaired immune function. High-dose exposure to polystyrene nanoplastics causes oxidative stress-induced cytotoxicity, including reduced antioxidant defenses, DNA damage, and protein oxidation. Moreover, it inhibits immune function by activating the oxidative stress pathway.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Ball-milled zero-valent iron with formic acid for effectively removing Cu (II)-EDTA accomplished by EDTA ligands oxidative degradation and Cu (II) removal

Yuhang Zhang, Donglei Li, Liang She, Furong Guo, Falong Jia, Lizhi Zhang, Zhihui Ai, Xiao Liu

Summary: This study developed a sample called FA-ZVIbm by ball-milling zero-valent iron (ZVI) with formic acid (FA), which showed remarkable performance in removing heavy metal complexes, specifically Cu(II)-ethylenediaminetetraacetic acid (Cu(II)-EDTA). The addition of FA greatly enhanced the removal efficiency, increasing the removal rate constant by 80 times. The improvement was attributed to the formation of a ferrous formate (Fe (HCOO)2) shell on the surface of FA-ZVIbm, which facilitated the activation of reactive oxygen species (ROS) and the leaching of Fe3+.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Whole blood cadmium levels and depressive symptoms in Chinese young adults: A prospective cohort study combing metabolomics

Liu Yang, Qingxia Yu, Siqi Dou, Xinyuan Li, Shuo Wen, Jia Zhang, Mingyu Feng, Lailai Yan, Chengshuai Zhang, Shanshan Li, Peng Lu, Yuming Guo

Summary: This study investigated the association between blood cadmium levels and depressive symptoms in Chinese young adults and explored potential metabolic changes related to high blood cadmium concentrations. The results showed that blood cadmium concentrations were significantly associated with increased severity of depression symptoms.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Self-catalytic decomplexation of Cu-TEPA and simultaneous recovery of Cu by an electrochemical ozone production system using heterojunction Ni-Sb-SnO2 anode

Hongshuai Kan, Ran Mao, Xu Zhu, Yuexin Cui, Yi Liu, Kaifeng Wang, Sainan Sun, Xu Zhao

Summary: A self-catalytic decomplexation scheme is developed using an electrochemical ozone production system to achieve efficient decomplexation and recovery of heavy metal complexes in wastewater. The results show that this method has good technological feasibility for different types of heavy metal complex wastewater.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Deterministic effect of oxygen level variation on shaping antibiotic resistome

Sakina Bombaywala, Abhay Bajaj, Nishant A. Dafale

Summary: This study investigates the dynamics of antibiotic resistance genes (ARGs), shifts in microbiome, and distribution of pathogens under different oxygen levels. The results reveal that ARG count increases in hyperoxic conditions and decreases in hypoxic conditions. Furthermore, an increase in genes related to oxidative damage and mutagenesis is observed in the hyperoxic condition, suggesting a link between oxygen levels and ARG development.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Facile synthesis of ball-milling and oxalic acid co-modified sludge biochar to efficiently activate peroxymonosulfate for sulfamethoxazole degradation: 1O2 and surface-bound radicals

Xi Chen, Jinyao Zhu, Yongfei Ma, Chenyu Zeng, Rui Mu, Zhikang Deng, Zulin Zhang

Summary: A novel approach using ball milling and oxalic acid to modify sludge-based biochar was found to enhance its activation performance for degrading sulfamethoxazole. The system showed high removal rates for sulfamethoxazole at different pH levels and had good tolerance to background electrolytes. Non-radicals and surface-bound radicals were identified as the main contributors to the degradation process. The transformed products generated in the system were less toxic than sulfamethoxazole. After multiple reuse cycles, the system maintained a high removal rate. This study provides valuable insights for the treatment of municipal sludge.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

CFD-DEM study on transport and retention behaviors of nZVI-clay colloids in porous media

Pengfei Liu, Shaokai Nie, Wenyuan Wang, Shuai Zhang, Bate Bate, Yunmin Chen

Summary: Transportation process of nano scale zero valent iron (nZVI) in clay-rich soils is complicated and crucial for in-situ remediation of contaminated sites. A coupled computational fluid dynamic and discrete element method (CFD-DEM) was used to investigate the interplays of repulsive and attractive forces and the injection velocity of this process.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Resilience of stormwater biofilters following the deposition of wildfire residues: Implication on downstream water quality management in wildfire-prone regions

Onja D. Raoelison, Tonoy K. Das, Keegan Guyett, Rachel Merrifield, Ananya Visweswaran, Shruti Indiresan, Kevin Lin Yang, Gregory Pierce, Sanjay K. Mohanty

Summary: Deposition of wildfire residues can reduce the infiltration capacity of biofilters, but scraping the residue layer can restore the capacity. The deposition does not significantly affect the removal of metals and E. coli, as the compost in the filter media can effectively remove the leached metals.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Typical neonicotinoids and organophosphate esters, but not their metabolites, adversely impact early human development by activating BMP4 signaling

Shuxian Zhang, Renjun Yang, Miaomiao Zhao, Shichang Li, Nuoya Yin, Aiqian Zhang, Francesco Faiola

Summary: Recent studies have found potentially harmful chemicals in everyday items. These chemicals can negatively impact development, but liver metabolism can mitigate their effects. Further research showed that these chemicals significantly affected gene expression, disrupted biological processes, and activated the BMP4 signaling pathway in early embryonic development. Treatment with a liver S9 fraction reduced toxicity and reversed adverse effects through the BMP4 pathway.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Thin colorimetric film array for rapid and selective detection of v-type nerve agent mimic in potentially contaminated areas

So -young Park, Rini Sharma, Hyung-il Lee

Summary: In this study, two colorimetric thin polymeric films were designed to detect and quantify VX mimic demeton-S in contaminated areas. These films showed high selectivity and reusability, making them suitable for on-site measurements.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Green construction of magnetic azo porous organic polymer for highly efficient enrichment and detection of phenolic endocrine disruptors

Chenhuan Wang, Bin Zhao, Qianqian Wang, Shuaihua Zhang, Qiuhua Wu, Xiaodong Shi

Summary: In this study, a magnetic azo POP (Mazo-POP) was developed for the first time using hydroxy-rich natural kaempferol and low-toxic basic fuchsin as monomers through a diazo coupling reaction. The Mazo-POP exhibited excellent extraction capabilities for phenolic EDCs and was used as a magnetic sorbent for enriching phenolic EDCs from water and fish samples.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Halogenated aliphatic and phenolic disinfection byproducts in chlorinated and chloraminated dairy wastewater: Occurrence and ecological risk evaluation

You-Wei Jiang, Gui-Jing Wang, Shuang Zang, Yue Qiao, Qiao Li, Han Zhang, Xian-Shi Wang, Jun Ma

Summary: The increasing demand for dairy products leads to a large amount of wastewater in dairy plants, and disinfection is necessary before wastewater discharge. Disinfection byproducts in disinfected dairy wastewater could negatively affect aquatic organisms. Chlorine and chloramine disinfection of dairy wastewater led to an increase in aliphatic disinfection byproduct concentration. Brominated and iodinated phenolic disinfection byproducts could further react with chlorine/chloramine. High levels of bromide in dairy wastewater can be oxidized to form highly toxic brominated disinfection byproducts (Br-DBPs), accounting for a significant portion of the total content of disinfection byproducts. Br-DBPs contribute to the cumulative risk quotient of disinfection byproducts in wastewater and their impact on aquatic organisms varies depending on the disinfection method used.

JOURNAL OF HAZARDOUS MATERIALS (2024)

Article Engineering, Environmental

Soft sensor for predicting indoor PM2.5 concentration in subway with adaptive boosting deep learning model

Jinyong Wang, Dongsheng Wang, Fengshan Zhang, Changkyoo Yoo, Hongbin Liu

Summary: This study improves the accurate monitoring of indoor air quality (IAQ) in subway environments by using an ensemble learning technique, AdaBoostLSTM, and kernel principal component analysis (KPCA). The results show that the proposed ensemble model, KPCA-AdaBoost-LSTM, achieves higher modeling performance in predicting PM2.5.

JOURNAL OF HAZARDOUS MATERIALS (2024)