Peng Han

The Key Laboratory Of Water And Sediment Sciences
Beijing, 100871, China

Last Updated: 09/26/2026

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Found 19 publications

Activation of Chlorite with Sunlight for the Efficient Disinfection of Antibiotic-Resistant Bacteria: the Overlooked Contribution of Cytomembrane-Bound Chlorite.

Activation of Chlorite with Sunlight for the Efficient Disinfection of Antibiotic-Resistant Bacteria: the Overlooked Contribution of Cytomembrane-Bound Chlorite.

Journal: Environmental science & technology

Published: September 05, 2025

Boosting Low-Dose Ferrate(VI) Activation by Layered FeOCl for the Efficient Removal of Antibiotic-Resistant Bacteria and Antibiotic Resistance Genes via Enhancing Fe(IV)/Fe(V) Generation.

Boosting Low-Dose Ferrate(VI) Activation by Layered FeOCl for the Efficient Removal of Antibiotic-Resistant Bacteria and Antibiotic Resistance Genes via Enhancing Fe(IV)/Fe(V) Generation.

Journal: Environmental science & technology

Published: July 31, 2025

An Outbreak of ST80 Vancomycin-Resistant Enterococcus faecium in a Hospital in Guangzhou, China: Clinical and Genomic Epidemiology Study from 2022 to 2023.

An Outbreak of ST80 Vancomycin-Resistant Enterococcus faecium in a Hospital in Guangzhou, China: Clinical and Genomic Epidemiology Study from 2022 to 2023.

Journal: Microbial drug resistance (Larchmont, N.Y.)

Published: July 25, 2025

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for Staphylococcus aureus via metagenomic sequencing.

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for Staphylococcus aureus via metagenomic sequencing.

Journal: Microbiology spectrum

Published: July 11, 2025

Genomic and machine learning approaches to predict antimicrobial resistance in Stenotrophomonas maltophilia.

Genomic and machine learning approaches to predict antimicrobial resistance in Stenotrophomonas maltophilia.

Journal: Microbiology spectrum

Published: June 18, 2025

Rapid prediction of antibiotic resistance in Enterobacter cloacae complex using whole-genome and metagenomic sequencing.

Rapid prediction of antibiotic resistance in Enterobacter cloacae complex using whole-genome and metagenomic sequencing.

Journal: mSystems

Published: June 12, 2025

Performance and hypothetical clinical impact of an mNGS-based machine learning model for antimicrobial susceptibility prediction of five ESKAPEE bacteria.

Performance and hypothetical clinical impact of an mNGS-based machine learning model for antimicrobial susceptibility prediction of five ESKAPEE bacteria.

Journal: Microbiology spectrum

Published: April 17, 2025

Rapid inference of antibiotic resistance and susceptibility for Klebsiella pneumoniae by clinical shotgun metagenomic sequencing.

Rapid inference of antibiotic resistance and susceptibility for Klebsiella pneumoniae by clinical shotgun metagenomic sequencing.

Journal: International journal of antimicrobial agents

Published: February 19, 2024

Prediction of antimicrobial resistance in Klebsiella pneumoniae using genomic and metagenomic next-generation sequencing data.

Prediction of antimicrobial resistance in Klebsiella pneumoniae using genomic and metagenomic next-generation sequencing data.

Journal: The Journal of antimicrobial chemotherapy

Published: December 14, 2023

Direct prediction of carbapenem resistance in Pseudomonas aeruginosa by whole genome sequencing and metagenomic sequencing.

Direct prediction of carbapenem resistance in Pseudomonas aeruginosa by whole genome sequencing and metagenomic sequencing.

Journal: Journal of clinical microbiology

Published: October 12, 2023

Application of metagenomic next-generation sequencing in the clinical diagnosis of infectious diseases after allo-HSCT: a single-center analysis.

Application of metagenomic next-generation sequencing in the clinical diagnosis of infectious diseases after allo-HSCT: a single-center analysis.

Journal: BMC infectious diseases

Published: May 11, 2023

Novel Clinical mNGS-Based Machine Learning Model for Rapid Antimicrobial Susceptibility Testing of Acinetobacter baumannii.

Novel Clinical mNGS-Based Machine Learning Model for Rapid Antimicrobial Susceptibility Testing of Acinetobacter baumannii.

Journal: Journal of clinical microbiology

Published: April 06, 2023

Showing 1-12 of 19

Last Updated: 09/26/2026