LI Chang, ZHAO Ke, CHANG Jiang, ZHANG Song, LI Meng, GUAN Yu-ting, MENG Xian-mei, LIU Zeng-shan, HU Pan, REN Hong-lin, LU Shi-ying, LI Yan-song, SUN Yu, LIU Xi. Development and Application of PMA-qPCR Method for Detecting Viable Yeasts in Dairy Products[J]. Science and Technology of Food Industry, 2018, 39(22): 128-132. DOI: 10.13386/j.issn1002-0306.2018.22.023
Citation: LI Chang, ZHAO Ke, CHANG Jiang, ZHANG Song, LI Meng, GUAN Yu-ting, MENG Xian-mei, LIU Zeng-shan, HU Pan, REN Hong-lin, LU Shi-ying, LI Yan-song, SUN Yu, LIU Xi. Development and Application of PMA-qPCR Method for Detecting Viable Yeasts in Dairy Products[J]. Science and Technology of Food Industry, 2018, 39(22): 128-132. DOI: 10.13386/j.issn1002-0306.2018.22.023

Development and Application of PMA-qPCR Method for Detecting Viable Yeasts in Dairy Products

  • This experiment was aimed to accurately determine the total number of viable yeast strains in dairy. The best working conditions of PMA for heat-damaged yeast in dairy products was investigated to removal of heat-damaged DNA. Primers Y3 and Y4 were designed for the 26S rDNA D1/D2 region sequences of three yeasts isolated from dairy and real-time quantitative PCR was used to perform sequence amplification. The copy number and Ct value of recombinant plasmid pMD-18T-26S were calculated,then the standard curve was established on the coordinate axis,and the PMA-qPCR detection method was established. The amount of live yeast in the actual sample was enriched and quantitatively detected. The PMA-qPCR method could meet the standards of the yeast maximum limit value of 1×102 CFU/mL in foods specified by the national standard with good repeatability,corresponding to a Ct value of 36.67±0.43,and the total time taken was 6~7 h. The amount of yeast could be determined. Accurate and rapid quantitative analysis could provide valuable reference for the identification and monitoring of spoilage microorganisms in dairy products.
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