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Frontiers in microbiology, 2023-08, Vol.14, p.1217704-1217704
2023
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Autor(en) / Beteiligte
Titel
Methods for detection and identification of beer-spoilage microbes
Ist Teil von
  • Frontiers in microbiology, 2023-08, Vol.14, p.1217704-1217704
Ort / Verlag
Frontiers Media S.A
Erscheinungsjahr
2023
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
  • It is critical that breweries of all sizes routinely monitor the microbiome of their process to limit financial losses due to microbial contamination. Contamination by beer-spoiling microbes (BSMs) at any point during the brewing process may lead to significant losses for breweries if gone undetected and allowed to spread. Testing and detection of BSMs must be routine and rapid, and because even small breweries need the capability of BSM detection and identification, the method also needs to be affordable. Lactic acid bacteria (LAB) are responsible for most spoilage incidents, many of which have been shown to enter the viable but nonculturable (VBNC) state under conditions present in beer such as cold or oxidative stress. These bacteria are invisible to traditional methods of detection using selective media. This article describes several methods of BSM detection and identification that may be useful in the majority of craft breweries. While there are several genomic methods that meet some or many qualifications of being useful in craft breweries, real-time quantitative polymerase chain reaction (qPCR) currently best meets the desired method characteristics and holds the most utility in this industry, specifically SYBR Green qPCR. qPCR is a targeted method of detection and identification of microbes that is affordable, rapid, specific, sensitive, quantitative, and reliable, and when paired with valid DNA extraction techniques can be used to detect BSMs, including those in the VBNC state.
Sprache
Englisch
Identifikatoren
ISSN: 1664-302X
eISSN: 1664-302X
DOI: 10.3389/fmicb.2023.1217704
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_3291781762b74171847775534f4c1069
Format
Schlagworte
BSM, DNA extraction, LAB, Microbiology, primer, qPCR, VBNC

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