@article{ZHANG2023, 
author = {Yalun ZHANG and Zan WANG and Rui ZHANG and Boxu CHEN and Wei ZHOU and Yan ZHANG},
title = {Quantitative Detection of Acetobacter aceti in Fermented Milk by Droplet Digital Polymerase Chain Reaction},
year = {2023},
journal = {Journal of Dairy Science and Technology},
volume = {46},
number = {2},
pages = {13-17},
keywords = {quantitative detection, fermented milk, droplet digital polymerase chain reaction, Acetobacter aceti},
url = {https://www.sciopen.com/article/10.7506/rykxyjs1671-5187-20220908-055},
doi = {10.7506/rykxyjs1671-5187-20220908-055},
abstract = {A droplet digital polymerase chain reaction (ddPCR) method for the quantitative detection Acetobacter aceti in fermented milk was established. Specific primers and probes were designed according to the internally transcribed spacer (ITS) gene sequence of Acetobacter aceti, and annealing temperature was optimized. The specificity of the method was verified by applying it on various strains, the limit of detection (LOD) was determined for artificially inoculated Acetobacter aceti, and the absolute quantification was systematically investigated by comparing the results of ddPCR and the counting results. The experimental results showed that the optimal annealing temperature was 54.6 ℃, the method had strong specificity and high sensitivity, and the LOD was 7.2 × 101 CFU/mL. The quantitative deviation rate was 23.73%. This method can meet the demand for quantitative detection of Acetobacter aceti in fermented milk.}
}