Xuehui Xie

ORCID: 0000-0002-3082-847X
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About
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Research Areas
  • Metal Extraction and Bioleaching
  • Enzyme-mediated dye degradation
  • Minerals Flotation and Separation Techniques
  • Chromium effects and bioremediation
  • Mine drainage and remediation techniques
  • Microbial Metabolism and Applications
  • Microbial bioremediation and biosurfactants
  • Extraction and Separation Processes
  • Enzyme Catalysis and Immobilization
  • Advanced battery technologies research
  • Advancements in Battery Materials
  • Wastewater Treatment and Nitrogen Removal
  • Biosensors and Analytical Detection
  • Membrane Separation Technologies
  • Advanced Chemical Sensor Technologies
  • Electrochemical sensors and biosensors
  • Mineral Processing and Grinding
  • Environmental remediation with nanomaterials
  • Advanced Nanomaterials in Catalysis
  • Advanced Battery Materials and Technologies
  • Advanced biosensing and bioanalysis techniques
  • bioluminescence and chemiluminescence research
  • Microfluidic and Bio-sensing Technologies
  • Bacterial biofilms and quorum sensing
  • Dye analysis and toxicity

Central South University
2005-2025

Donghua University
2014-2024

Shanghai Institute of Pollution Control and Ecological Security
2018-2024

Changsha University
2023-2024

Ministry of Ecology and Environment
2019-2021

Institute of Zoology
2011

Chinese Academy of Sciences
2011

University of Chinese Academy of Sciences
2011

Two highly heavy metal resistant indigenous bacterial strains, DX-T3-01 and DX-T3-03, were isolated from the biggest tailing in Asia-Dexing copper mine 4# tailing. The strain exhibited high tolerance to cadmium: 10 mM Cd2+ with yeast tryptophan peptone glucose (YTPG) agar plates 18 liquid medium. DX-T3-03 was zinc could endure 35 Zn2+ with YTPG 40 They also showed other metals, such as copper, lead nickel. morphology, physiological biochemical characteristics of two strains examined by...

10.5897/ajb2010.000-3286 article EN AFRICAN JOURNAL OF BIOTECHNOLOGY 2010-06-28

Aims: To understand the composition and structure of microbial communities in different acid mineral bioleaching systems, to present a more complete picture microbially mediated mine drainage production. Methods Results: In Tong Shankou Copper Mine, China, two samples (named K1 K2) from sites with were studied. A bacterial 16S rDNA library an archaeal sample each site constructed by polymerase chain reaction (PCR), restriction fragment length polymorphism (RFLP) sequencing. total 18...

10.1111/j.1365-2672.2007.03382.x article EN Journal of Applied Microbiology 2007-06-16

Sensitive and fast detection of ibuprofen enantiomers is very critical for required routine monitoring risk assessment trace pollutants in water samples. Here a simple, rapid highly sensitive android smartphone application chiral recognition was developed. Aptamer-capped gold nanoparticles (AuNPs) demonstrated as an efficient platform (S)-(+)-ibuprofen (S-Ibu) (R)-(-)-ibuprofen (R-Ibu). Detachment enantioselective aptamer from the AuNPs surface binding with enantiomer Ibu lead to...

10.1002/elps.201700372 article EN Electrophoresis 2017-11-29

One of the main mechanisms bacterial decolorization and degradation azo dyes is use biological enzymes to catalyze breaking bonds. This paper shows expression properties a novel reductase (hybrid-cluster NAD(P)-dependent oxidoreductase, accession no. A0A1S1BVU5, named BVU5) from flora DDMZ1 for dyes. The molecular weight BVU5 about 40.1 kDa, it contains prosthetic group flavin mononucleotide (FMN). It has ability 80.1 ± 2.5% within 3 min dye concentration 20 mg L-1, 53.5 1.8% even 200 L-1...

10.1039/d1ra08090c article EN cc-by-nc RSC Advances 2022-01-01

Abstract Microbial diversity of mine water at Zhong Tiaoshan copper mine, Shanxi province, China, was analyzed using a culture‐independent 16S rRNA gene (rDNA) based on cloning approach. A total 59 Operational Taxonomic Units (OTUs) were obtained from 226 clones all three samples (8 OTUs sample SX1, 25 SX2 and 26 SX3). 46 them representative sequenced. 93.5% the had sequences that less than 5% difference those in nucleic acids database. The percentage overlapping among 12.1% to 35.3%....

10.1002/jobm.200700219 article EN Journal of Basic Microbiology 2007-12-01
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