Evidence map›Paper›PMID 41501695›Full record

ArticleBMC infectious diseases2026

Non-continuous Percoll density gradient: a method for purifying Mycobacterium tuberculosis from dust.

Lan Wen, Wei Ning, Hui-Ping Zhang, Fang Peng, Miao-Miao Wang, Fei-Fan Huang, Bin Zhang, Jie-Peng Huang, Ming-Zhong Xu, Bin Tian

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Lan Wen *Clinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China.
Wei Ning *Clinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China.
Hui-Ping ZhangDepartment of Blood Supply, Changsha Blood Center, Changsha, 410004, China.
Fang PengClinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China.
Miao-Miao WangClinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China.
Fei-Fan HuangClinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China.
Bin ZhangClinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China.
Jie-Peng HuangClinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China.
Ming-Zhong XuClinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China. 1040811877@qq.com.
Bin TianClinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China. 246502018@csu.edu.cn.

Funding

Hunan Provincial Natural Science Foundation No. 2024JJ9546
6 · The paper itself

Abstract

backgroundMycobacterium tuberculosis (MTB) retains infectivity for 8-10 days in dry dust and survives up to 6-8 months in humid environments. Dust accumulated in ventilation systems and air-conditioning filters serves as a critical reservoir for MTB aerosol transmission, making its detection vital for environmental risk assessment in settings prone to clustered outbreaks, such as schools and hospitals. However, molecular detection of MTB in dust is hindered by inhibitors (e.g., humic acids and heavy metals), leading to high false-negative rates, while conventional decontamination methods (e.g., acid-base treatments) compromise bacterial viability and efficiency.

methodsThis study developed a non-destructive Percoll density gradient centrifugation method applied to both H37Rv-spiked artificial dust matrices and real-world air-conditioning dust samples from tuberculosis wards, enabling efficient isolation of viable MTB. This approach leverages buoyant density-based separation to minimize inhibitory effects and maintain bacterial viability.

results(1) For H37Rv-spiked artificial dust (10

conclusionThis method is operationally simple, non-toxic, and biocompatible, achieving high total recovery of MTB cells while maintaining a high proportion of viable among the recovered bacteria. It offers substantial potential for environmental monitoring and downstream sequencing analysis, aiding in environmental risk assessment and management of clustered tuberculosis outbreaks.

Indexed as

Bacteriological TechniquesDustMycobacterium tuberculosisCentrifugation, Density GradientHumansMicrobial ViabilityPovidoneSilicon DioxideDustPercollPovidoneSilicon DioxideAir-conditioning filterDustH37RvMycobacterium tuberculosisPercollTuberculosis

Identifiers

PMID41501695
PMCPMC12870882

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.