Fei Cheng

ORCID: 0000-0002-6158-0745
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Research Areas
  • Environmental Toxicology and Ecotoxicology
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Toxic Organic Pollutants Impact
  • Atmospheric and Environmental Gas Dynamics
  • Pesticide and Herbicide Environmental Studies
  • Insect and Pesticide Research
  • Metabolomics and Mass Spectrometry Studies
  • Effects and risks of endocrine disrupting chemicals
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • Tuberculosis Research and Epidemiology
  • Water Quality and Pollution Assessment
  • Pesticide Exposure and Toxicity
  • Global Energy and Sustainability Research
  • Nutritional Studies and Diet
  • Petroleum Processing and Analysis
  • Antibiotic Resistance in Bacteria
  • Hydrocarbon exploration and reservoir analysis
  • Folate and B Vitamins Research
  • Per- and polyfluoroalkyl substances research
  • Botany, Ecology, and Taxonomy Studies
  • Health, Environment, Cognitive Aging
  • Bauxite Residue and Utilization
  • Machine Learning in Bioinformatics
  • Marine Biology and Environmental Chemistry

Guangzhou Institute of Geochemistry
2016-2025

Chinese Academy of Sciences
2016-2025

Jinan University
2017-2024

Beijing Normal University
2024

University of Alberta
2024

Ningbo Dahongying University
2024

University of Chinese Academy of Sciences
2016-2019

China National Petroleum Corporation (China)
2014

North Dakota State University
2008-2012

Hefei University of Technology
2011

Per- and polyfluoroalkyl substances (PFASs) have attracted worldwide attention due to their ubiquitous occurrence, bioaccumulation, toxicological effects, yet the fate of PFASs in a lotic ecosystem is largely unknown. To elucidate spatial distribution multimedia partitioning legacy emerging river flowing into an estuary, were synchronously analyzed water, suspended particulate matter (SPM), sediment, biota samples collected along Guangzhou reach Pearl River, South China. Geographically,...

10.1021/acs.est.1c07362 article EN Environmental Science & Technology 2022-02-24

Identifying causative toxicants in mixtures is critical, but this task challenging when contain multiple chemical classes. Effect-based methods are used to complement analyses identify toxicants, yet conventional bioassays typically rely on an apical and/or single endpoint, providing limited diagnostic potential guide prioritization. We proposed event-driven taxonomy framework for mixture risk assessment that relied high-throughput screening and toxicant identification integrated by deep...

10.1021/acs.est.3c10814 article EN Environmental Science & Technology 2024-05-02

While shale gas could complement the world's natural supply, its environmental tradeoffs and sustainability potential should be cautiously assessed before using it to satisfy future energy needs. Shale development in China is still infancy but has been progressing by Central Government at a fast pace nowadays. Advanced experience from North America would greatly benefit sustainable design decision-making for China. However, lack of consistency concerning internal external parameters among...

10.1016/j.ese.2022.100202 article EN cc-by-nc-nd Environmental Science and Ecotechnology 2022-07-31

Environmental impacts associated with shale gas exploitation have been historically underestimated due to neglecting account for the production or release of end-of-pipe organic pollutants. Here, we assessed environmental in China and United States using life cycle assessment. Through data mining, compiled literature information on pollutants flowback produced water (FPW), followed by assessments USEtox evaluate risks. Results were incorporated reveal risks both countries. exhibited higher...

10.1021/acs.est.3c10288 article EN other-oa Environmental Science & Technology 2024-04-23

Hyperhomocysteinemia (HHcy) is an independent risk factor for cardiovascular diseases (CVDs). We aimed to investigate the joint effect of homocysteine metabolism gene polymorphisms, as well folate deficiency on HHcy in a Chinese hypertensive population.This study enrolled 480 patients aged 28 - 75 from six hospitals different regions 9/2005 12/2005. Known genotypes methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C, methionine synthase (MTR) A2756G, (MTRR) A66G were detected by...

10.7754/clin.lab.2016.160917 article EN Clinical Laboratory 2017-01-01

Toxicity identification evaluation (TIE) and effect-directed analysis (EDA) were integrated to diagnose toxicity drivers in a complex system, such as sediment. In TIE manipulation, XAD resin was utilized an amending agent for characterizing organic toxicants, which also facilitate large-volume bioaccessibility-based extraction EDA purposes. Both raw sediments extract fractions tested with Chironomus dilutus using whole-sediment testing high-throughput microplate assay. This allowed direct...

10.1021/acs.est.8b05633 article EN Environmental Science & Technology 2018-12-25

Interspecies sensitivity to the same chemical can be several orders of magnitude different. Quantifying toxicologically internal levels and toxicokinetic (TK) parameters is critical in elucidating interspecies sensitivity. Herein, a two-compartmental TK model was constructed characterize uptake, distribution, elimination kinetics toward an insecticide, imidacloprid. Imidacloprid exhibited highest lethality insect Chironomus dilutus, followed by Lumbriculus variegatus, Hyalella azteca,...

10.1021/acs.est.3c01646 article EN Environmental Science & Technology 2023-07-14

ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTRetrospective Risk Assessment of Chemical Mixtures in the Big Data Era: An Alternative Classification Strategy to Integrate and Toxicological DataFei ChengFei ChengGuangdong Key Laboratory Environmental Pollution Health, School Environment, Jinan University, Guangzhou 511443, ChinaMore by Fei Cheng, Huizhen LiHuizhen LiGuangdong Li, Bryan W. BrooksBryan BrooksGuangdong ChinaDepartment Science, Institute Biomedical Studies, Center for Reservoir...

10.1021/acs.est.0c01062 article EN Environmental Science & Technology 2020-05-01

The importance of pyrethroids as potential stressors to benthic organisms has gradually become evident in urban creeks; however, the occurrence and toxicity sediment-associated are rarely studied large rivers. In this context, 10 sediments from a river (Guangzhou reach Pearl River China) were assessed for pyrethroid sediment invertebrate Chironomus dilutus. One half exhibited lethality C. dilutus 10-d exposure all surviving midges showed significant change enzymatic activity. Moreover,...

10.1002/etc.3919 article EN Environmental Toxicology and Chemistry 2017-07-19

To improve the accuracy of mixture risk assessment, researchers are employing suspect analysis with expanded lists contaminants in addition to conventional target lists. However, there some inherent challenges for these instrument-based analyses, including subjective selection contaminants, no information chemical bioactivity, requirements costly verification, and limited regional coverage. As a supplementary approach, we propose data-driven screening assessment method informed by mining big...

10.1021/acs.estlett.3c00250 article EN Environmental Science & Technology Letters 2023-05-15

Selection of toxicity endpoints affects outcomes risk assessment. Scientific decisions based on more holistic evidence is preferable for designing bioassay batteries rather than subjective selections, particularly when systems are poorly understood. Here, we propose a novel event-driven taxonomy (EDT)-based text mining tool to prioritize stressors likely elicit water quality deterioration. The integrated automated literature collection, natural language processing using adverse outcome...

10.1021/acs.est.1c00152 article EN Environmental Science & Technology 2021-06-18

Abstract Background Mutations in an enzyme target are one of the most common mechanisms whereby antibiotic resistance arises. Identification mutations bacteria is essential for understanding structural basis and design new drugs. However, traditionally used experimental approaches to identify were usually labor-intensive costly. Results We present a machine learning (ML)-based classifier predicting rifampicin (Rif) bacterial RNA Polymerase subunit β (RpoB). A total 186 gathered from...

10.1186/s12859-021-04137-0 article EN cc-by BMC Bioinformatics 2021-04-22

Summary Prior research indicates that a SNP at position 305 of exon 2 in the leptin gene affects milk production dairy cows. Dairy cows with least one copy T allele have been shown to higher than CC If effect carries over beef breeds, it is reasonable expect CT and TT will wean heavier calves We tested this hypothesis for herd mixed breed using anova . Results indicated both crossbred significantly A lack observations generally hinders detection significance other breeds. However, two...

10.1111/j.1365-2052.2008.01730.x article EN Animal Genetics 2008-04-23

Various contaminants in indoor air, dust, and pet hair samples. The distribution of pollutants between media was explained by their sources partitioning processes. In vitro data helped estimate the risks to human health from exposome.

10.1039/d3em00182b article EN Environmental Science Processes & Impacts 2023-01-01

Big data approaches have greatly improved scientific decision making, but they are highly dependent on the availability of data, impeding their use in data-poor scenarios. In addition to abundance, enhancing diversity is likewise a way access knowledge. Herein, we propose data-driven method for toxicity endpoint selection when directly relevant deficient, and shale gas exploitation sites were used as an example scenario. From 1173 substances U.S. Environmental Protection Agency's HFList,...

10.1021/acs.estlett.2c00648 article EN Environmental Science & Technology Letters 2022-11-03
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