金黄色葡萄球菌
医学
微生物学
污染
殖民地化
大肠杆菌
细菌
生物
生态学
遗传学
生物化学
基因
作者
Meifang Yin,Jiangfeng Li,Lixian Huang,Yongming Li,Mingzhou Yuan,Yongquan Luo,Ubaldo Armato,Lijun Zhang,Yating Wei,Yuanyuan Li,Jiawen Deng,Pin Wang,Jun Wu
出处
期刊:Burns
[Elsevier BV]
日期:2021-09-17
卷期号:48 (4): 791-798
被引量:3
标识
DOI:10.1016/j.burns.2021.09.002
摘要
Rapid diagnosis of microbes in the burn wound is a big challenge in the medical field. Traditional biochemical detection techniques take hours or days to identify the species of contaminating and drug-resistant microbes. Near-infrared spectroscopy (NIRS) is evaluated to address the need for a fast and sensitive method for the detection of bacterial contamination in liquids.Herin, we developed a novel technique which by using NIRS together with supporting vector machine (SVM), to identify the microbial species and drug-resistant microbes in LB medium, and to diagnose the wound colonization and wound infection models of pigs.The device could recognize 100% of seven kinds of microbes and 99.47% of the multi-drug resistant Staphylococcus aureus (S. aureus), with a concentration of 109 cfu ml-1 in LB medium. The accuracy of the microbial identification in colonized and infected wounds in-situ was 100%. The detection limit of NIRS with SVM for the detection of S. aureus and Escherichia coli (E. coli) was 101 cfu ml-1 in LB medium. Identification time was less than 5 s.Our findings validate for the first time a novel technique aimed at the rapid, noncontacted, highly sensitive, and specific recognition of several microbial species including drug-resistant ones. This technique could represent a promising approach to identify diverse microbial species and a potential bedside device to rapidly diagnose infected wounds.
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