title: Selective cultivation and rapid detection of Staphylococcus aureus by computer vision.
abstract: 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.
  
  
  CONCLUSIONS
  Our new, rapid detection method for microorganisms in foods has great potential for routine food safety control and microbiological detection applications.
authors: College of Biological and Agricultural Engineering, Jilin Univ, 5988 Renmin St., Changchun, 130025, China; Inst. of Agro-Food Science and Technology, Jilin Academy of Agricultural Sciences, 1363 Caiyu St., Changchun, 130033, China.
authors: Yong
authors: Y
authors: Wang
authors: Yongguang
authors: Y
authors: Yin
authors: Chaonan
authors: C
authors: Zhang
mesh_terms: D015373:Bacterial Typing Techniques; D003201:Computers; D003470:Culture Media; D005516:Food Microbiology / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D013211:Staphylococcus aureus / Q000254:growth & development*; D014785:Vision, Ocular
chemical_list: D003470:Culture Media
keywords: Staphylococcus aureus; computer vision; rapid detection; selective cultivation