Hewett Keith, Drabińska Natalia, White Paul, Avison Matthew B, Persad Raj, Ratcliffe Norman, Costello Ben de Lacy
Department of Applied Sciences, Faculty of Health and Applied Sciences, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK.
Department of Chemistry and Biodynamics of Food, Institute of Animal Reproduction and Food Research of Polish Academy of Sciences, 10-748 Olsztyn, Poland.
Antibiotics (Basel). 2020 Nov 11;9(11):797. doi: 10.3390/antibiotics9110797.
Antibiotic resistance is an unprecedented threat to modern medicine. The analysis of volatile organic compounds (VOCs) from bacteria potentially offers a rapid way to determine antibiotic susceptibility in bacteria. This study aimed to find the optimal conditions to obtain the maximum number of VOCs detected which next allowed the assessment of differences in VOC profiles between susceptible and resistant isolates of causing urinary tract infections. The analysis of VOCs in the headspace above the bacterial cultures allowed the distinguishing of resistant and susceptible bacteria based on the abundance of six VOCs with 85.7% overall accuracy. The results of this preliminary study are promising, and with development could lead to a practical, faster diagnostic method for use in routine microbiology.
抗生素耐药性是现代医学面临的前所未有的威胁。对细菌挥发性有机化合物(VOCs)的分析可能提供一种快速确定细菌对抗生素敏感性的方法。本研究旨在找到最佳条件,以获得最多数量的可检测VOCs,进而评估引起尿路感染的敏感菌株和耐药菌株之间VOC图谱的差异。对细菌培养物上方顶空的VOCs进行分析,基于六种VOCs的丰度区分耐药菌和敏感菌,总体准确率为85.7%。这项初步研究的结果很有前景,随着研究的发展,可能会产生一种用于常规微生物学的实用、快速诊断方法。