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  • Title: Selective cultivation and rapid detection of Staphylococcus aureus by computer vision.
    Author: Wang Y, Yin Y, Zhang C.
    Journal: J Food Sci; 2014 Mar; 79(3):M399-406. PubMed ID: 24517232.
    Abstract:
    UNLABELLED: 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, K2 TeO3 , 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.
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