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Identification of Upper Respiratory Bacterial Pathogens With the Electronic Nose
电子鼻用于上呼吸道感染细菌病原体鉴定
Stephen Y. Lai MD, PhD Olivia F. Deffenderfer BS William Hanson MD Marguerite P. Phillips RN, BSN Erica R. Thaler MD First published: 02 January 2009 https://doi.org/10.1097/00005537-200206000-00007 Cited by: 47 Presented at the Eastern Section Meeting of the Triological Society, Philadelphia, PA, January 26, 2002.
Abstract
Objective: To use an electronic nose to identify common upper respiratory bacterial pathogens. Study Design: Controlled in vitro analysis.
目的：利用电子鼻对常见上呼吸道细菌病原进行鉴定。研究设计：体外对照分析。
Methods: Swabs of bacteria were obtained from in vitro samples. The specimens were vaporized and analyzed over the organic semiconductor-based electronicnose (Cyranose 320). Data from the 32-element sensor array were subjected to principal component analysis for depiction in two-dimensional space and difference in odorant patterns were assessed by calculating Mahalanobis distances.
方法：从体外标本中提取细菌拭子。样品在有机半导体电子鼻（Cyranose320）上蒸发和分析。对32元传感器阵列的数据进行主成分分析，在二维空间中进行描述，并通过计算马哈拉诺比距离评估气味模式的差异。
Results: The electronicnose was able to distinguish between control swabsand bacterial samples. Furthermore, calculation of the Mahalanobis distances among the various bacteria demonstrated distinct odorant classes (Mahalanobis distance 3). This demonstrates that the electronicnose could differentiate among various common bacterial pathogens of the upper respiratory tract, including Staphylococcus aureus, Streptococcus pneumoniae, Haemophilus influenza, and Pseudomonas aeruginosa. Conclusions: The electronic nose represents a novel method to identify potential upper respiratory infections and to discriminate among common upper respiratory bacterial pathogens. This technology could provide a rapid means to identify organisms causing upper respiratory infections.
结果：电子鼻能够区分对照拭子和细菌样本。此外，计算不同细菌之间的马哈拉诺比斯距离显示出不同的气味类别（马哈拉诺比斯距离3）。这表明，电子鼻可以区分上呼吸道常见的各种细菌病原体，包括、肺炎链球菌、流感嗜血杆菌和铜绿假单胞菌。结论：电子鼻是一种新的鉴别上呼吸道感染的方法，是鉴别上呼吸道常见病原菌的一种新方法。这项技术可以提供一种快速的手段来鉴定引起上呼吸道感染的生物体。
Keywords: Electronic nose, bacteria, sinusitis.
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