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

Lan Wen1, Wei Ning1, Hui-Ping Zhang2

  • 1Clinical Laboratory Department, Changsha Municipal Center for Disease Control and Prevention, Changsha, Hunan, 410004, China.

BMC Infectious Diseases
|January 7, 2026
PubMed
Summary
This summary is machine-generated.

A new method efficiently isolates viable Mycobacterium tuberculosis (MTB) from dust, improving detection rates in environmental samples. This technique aids in assessing tuberculosis outbreak risks and managing environmental contamination.

Keywords:
Air-conditioning filterDustH37RvMycobacterium tuberculosisPercollTuberculosis

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Area of Science:

  • Environmental microbiology
  • Molecular diagnostics
  • Infectious disease epidemiology

Background:

  • Mycobacterium tuberculosis (MTB) persists in dust, acting as a reservoir for transmission in healthcare and educational settings.
  • Detecting MTB in dust is crucial for environmental risk assessment but is hindered by inhibitors and methods that compromise bacterial viability.

Purpose of the Study:

  • To develop a non-destructive method for isolating viable MTB from dust samples.
  • To improve the accuracy and efficiency of molecular detection of MTB in environmental reservoirs.

Main Methods:

  • A Percoll density gradient centrifugation technique was developed for isolating viable MTB from artificial and real-world dust matrices.
  • The method utilizes buoyant density separation to minimize inhibitor interference and preserve bacterial viability.

Main Results:

  • Achieved 31.75-73.96% total recovery of viable MTB from spiked dust, with up to 73.5% retaining culturability.
  • Significantly increased qPCR-positive detection rate from 56% to 80% in real-world dust samples.
  • Nearly 10-fold increase in MTB DNA abundance detected, with reduced inhibitor interference and improved amplification efficiency.

Conclusions:

  • The developed method is simple, non-toxic, and highly effective for recovering viable MTB from dust.
  • This technique enhances environmental monitoring capabilities for tuberculosis, supporting risk assessment and outbreak management.
  • Offers potential for downstream genomic analysis to understand MTB transmission dynamics.