文献类型： 外文期刊

作者： Wang, Yong ¹ ; Yin, Yongguang ¹ ; Zhang, Chaonan ¹ ;

作者机构： 1.Jilin Univ, Coll Biol & Agr Engn, Changchun 130025, Peoples R China

2.Jilin Acad Agr Sci, Inst Agrofood Sci & Technol, Changchun 130033, Peoples R China

关键词： selective cultivation;Staphylococcus aureus;computer vision;rapid detection

期刊名称：JOURNAL OF FOOD SCIENCE （ 影响因子：3.167； 五年影响因子：3.376 ）

ISSN： 0022-1147

年卷期： 2014 年 79 卷 3 期

页码：

收录情况： SCI

摘要： 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, K2TeO3, 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.