2017
DOI: 10.1016/j.bjm.2016.11.012
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Development of a propidium monoazide-polymerase chain reaction assay for detection of viable Lactobacillus brevis in beer

Abstract: The spoilage of beer by bacteria is of great concern to the brewer as this can lead to turbidity and abnormal flavors. The polymerase chain reaction (PCR) method for detection of beer-spoilage bacteria is highly specific and provides results much faster than traditional microbiology techniques. However, one of the drawbacks is the inability to differentiate between live and dead cells. In this paper, the combination of propidium monoazide (PMA) pretreatment and conventional PCR had been described. The establis… Show more

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Cited by 8 publications
(6 citation statements)
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“…Ma and coworkers [ 151 ] applied propidium monoazide prior to PCR analysis, allowing live/dead discrimination of bacteria, and used the method to detect beer spoilage bacteria. The intercalating dye covalently binds to the genomic DNA of damaged cell membranes, and once in this state, it cannot be amplified.…”
Section: Selected Instrumental Techniques and Their Applicationsmentioning
confidence: 99%
“…Ma and coworkers [ 151 ] applied propidium monoazide prior to PCR analysis, allowing live/dead discrimination of bacteria, and used the method to detect beer spoilage bacteria. The intercalating dye covalently binds to the genomic DNA of damaged cell membranes, and once in this state, it cannot be amplified.…”
Section: Selected Instrumental Techniques and Their Applicationsmentioning
confidence: 99%
“…Lactobacillus brevis is the most common bacteria isolated from spoilage beer, which causes more than half of beer spoilage problems. It is also one of the beer spoilage bacteria which has been studied deeply [ 4 , 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the detection of S. enterica VBNC cells by resuscitation is infeasible. In recent years, combining propidium monoazide (PMA) treatment with nucleic acid amplification technologies has shown to be capable of rapidly detecting VBNC bacteria ( Wang et al, 2011 ; Xu et al, 2011a , b , 2012a , b , 2016a , b ; You et al, 2012 ; Liu et al, 2015 , 2017 ; Jiang et al, 2016 ; Lin et al, 2016 ; Miao et al, 2016 , 2017a , b , 2018 ; Ma et al, 2017 ; Wang et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%