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Isotachophoretic quantification of total viable bacteria on meat and surfaces.

Authors :
Kumarajith, Thisara M.
Powell, Shane M.
Breadmore, Michael C.
Source :
Analytica Chimica Acta. Apr2024, Vol. 1296, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

The quantification of microbes, particularly live bacteria, is of utmost importance in assessing the quality of meat products. In the context of meat processing facilities, prompt identification and removal of contaminated carcasses or surfaces is crucial to ensuring the continuous production of safe meat for human consumption. The plate count method and other traditional detection methods are not only labour-intensive but also time-consuming taking 24–48 h. In this report, we present a novel isotachophoretic quantification method utilizing two nucleic acid stains, SYTO9 and propionic iodide, for the detection of total viable bacteria. The study employed E. coli M23 bacteria as a model organism, with an analysis time of only 30 min. The method demonstrated a limit of detection (LOD) of 184 CFU mL−1 and 14 cells mL−1 for total viable count and total cell count, respectively. Furthermore, this new approach is capable of detecting the microbial quality standard limits for food contacting surfaces (10 CFU cm−2) and meat (1.99 × 104 CFU cm−2) by swabbing an area of 10 × 10 cm2. In contrast to the culture-based methods usually employed in food processing facilities, this isotachophoretic technique enables easy and rapid detection (<30 min) of microorganisms, facilitating crucial decision-making essential for maintaining product quality and safety. [Display omitted] • This paper reports an ITP method to detect viable bacteria, with the potential to replace traditional plate count method. • The method identifies contaminated surfaces within 30 minutes, mitigating the risk of foodborne illness outbreaks. • The method can be adapted to various settings with modifications to detect total viable count. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00032670
Volume :
1296
Database :
Academic Search Index
Journal :
Analytica Chimica Acta
Publication Type :
Academic Journal
Accession number :
175600765
Full Text :
https://doi.org/10.1016/j.aca.2024.342253