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Selective Cultivation and Rapid Detection of Staphylococcus aureus by Computer Vision
Author(s) -
Wang Yong,
Yin Yongguang,
Zhang Chaonan
Publication year - 2014
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/1750-3841.12355
Subject(s) - staphylococcus aureus , chromatography , food science , chemistry , isolation (microbiology) , microbiology and biotechnology , biology , bacteria , genetics
In this paper, we developed a selective growth medium and a more rapid detection method based on computer vision for selective isolation and identification of Staphylococcus aureus from foods. The selective medium consisted of tryptic soy broth basal medium, 3 inhibitors (NaCl, K 2 TeO 3 , and phenethyl alcohol), and 2 accelerators (sodium pyruvate and glycine). After 4 h of selective cultivation, bacterial detection was accomplished using computer vision. The total analysis time was 5 h. Compared to the Baird‐Parker plate count method, which requires 4 to 5 d, this new detection method offers great time savings. Moreover, our novel method had a correlation coefficient of greater than 0.998 when compared with the Baird‐Parker plate count method. The detection range for S. aureus was 10 to 10 7 CFU/mL. Practical Application Our new, rapid detection method for microorganisms in foods has great potential for routine food safety control and microbiological detection applications.