Issue 9, 2022

A large-volume sputum dry storage and transportation device for molecular and culture-based diagnosis of tuberculosis

Abstract

Technologies for preservation of specimens in the absence of cold chains are essential for optimum utilization of existing laboratory services in the developing world. We present a prototype called specimen transportation tube (SPECTRA-tube) for the collection, exposure-free drying, ambient transportation, and liquid state recovery of large-volume (>1 mL) specimens. Specimens introduced into the SPECTRA-tube are dried in glass fiber membranes, which are critical for efficient liquid-state sample recovery by rehydration and centrifugation. SPECTRA-tube is demonstrated for the dry storage of sputum for tuberculosis detection. Mycobacterium smegmatis (Msm)-spiked mock sputum dried in a native Standard 17 glass fiber was stable for molecular testing after 10 day storage at 45 °C and for culture testing after 10- and 5-day storage at 37 °C and 45 °C, respectively. Compatibility with human sputum storage was demonstrated by dry storing 1.2 mL Mycobacterium bovis-spiked human sputum in a SPECTRA-tube for 5 days at room temperature. We have thus demonstrated the first workflow for dry storage of sputum followed by molecular and culture testing. Compared to existing specimen dry storage technologies, SPECTRA-tube significantly increases the volume of liquid specimens that can be transported in the dry state and enables the recovery of the entire sample in the liquid state, rendering it compatible with conventional downstream analysis methods.

Graphical abstract: A large-volume sputum dry storage and transportation device for molecular and culture-based diagnosis of tuberculosis

Supplementary files

Article information

Article type
Paper
Submitted
07 oct. 2021
Accepted
19 mars 2022
First published
07 avr. 2022

Lab Chip, 2022,22, 1736-1747

A large-volume sputum dry storage and transportation device for molecular and culture-based diagnosis of tuberculosis

A. Dsouza, S. Jangam, S. Soni, P. Agarwal, V. Naik, J. Manjula, C. B. Nair and B. J. Toley, Lab Chip, 2022, 22, 1736 DOI: 10.1039/D1LC00900A

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