Establishment of ddPCR detection technology system for three contaminants in fermented milk

• Autor(a) principal: ZHOU,Wei
• Data de Publicação: 2022
• Outros Autores: LI,Yong-Bo, ZHANG,Ya-Lun, LI,Xian, SHI,Guo-hua, YANG,Xiao-long
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Food Science and Technology (Campinas)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000101120
• topic: droplet digital polymerase chain reaction; Gluconobacter; Acetobacter; Lactobacillus

Abstract Three typical contaminant bacteria, namely, Gluconobacter, Acetobacter, and Lactobacillus, were selected from fermented milk. The strong specific genes were screened as target sequences, and the droplet digital polymerase chain reaction (ddPCR) amplification system and reaction conditions were optimized. We established a ddPCR detection method for the three kinds of bacteria in fermented milk and then verified the specificity and sensitivity of the method. Absolute quantitative results were also analyzed. Results showed that ddPCR detection method for the three contaminants was specific and sensitive, and that the lowest detectable concentrations of Gluconobacter, Bacteroides, and Lactobacillus plantarum were 8.8 × 100 CFU/mL, 8.9 × 101 CFU/mL, and 9.6 × 101 CFU/mL, respectively. The relationship between the quantitative analysis results and ddPCR test results was good, proving the feasibility of ddPCR for absolute quantitative detection. This manuscript reports on establishment of a ddPCR detection system for three bacterial contaminants in fermented milk. The ddPCR detection system has efficient detection of targeted bacterial contaminants in fermented milks that can be valuable to the dairy industry in terms of preventing economic loss due to microbial spoilage and associated quality defects.