Art

J-GLOBAL ID：201702235630209457   Reference number：17A0256199

Identification of Pseudomonas aeruginosa by photoacoustic spectroscopy

光音響分光法は緑膿菌の同定に利用される。【JST・京大機械翻訳】

Author (7)： Zhang Ye (General Hospital of the Chinese People’s Armed Police Forces, Outside Base of Liaoning Medical University) ,  Gao Hongmei (Department of Respiratory Disease, General Hospital of the Chinese People’s Armed Police Forces) ,  Chen Wenli (Department of Respiratory Disease, General Hospital of the Chinese People’s Armed Police Forces) ,  Tan Qinghai (Department of Respiratory Disease, General Hospital of the Chinese People’s Armed Police Forces) ,  Liu Jingsha (General Hospital of the Chinese People’s Armed Police Forces, Outside Base of Liaoning Medical University) ,  Gu Ye (Department of Respiratory Disease, General Hospital of the Chinese People’s Armed Police Forces) ,  Zhang Jianpeng (Department of Respiratory Disease, General Hospital of the Chinese People’s Armed Police Forces)
Material： Weishengwuxue Tongbao
Volume： 43  Issue： 11  Page： 2506-2513  Publication year： 2016 
JST Material Number： C2731A  ISSN： 0253-2654  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： [Objective] To develop a nonin...

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Thesaurus term： image ,  reliability (property) ,  metabolite ,  *photoacoustic spectroscopy ,  culture (biology) ,  Bacteria ,  *Pseudomonas aeruginosa ,  hydrogen cyanide ,  Escherichia coli ,  photoacoustic spectrum ,  algorithm ,  volatility ,  automated detection ,  high concentration ,  *microorganism
Semi thesaurus term： 非侵襲 , 【Automatic Indexing@JST】

Author keywords (4)： Volatile compounds ,  Photoacoustic spectroscopy ,  Pseudomonas aeruginosa ,  Identification

JST classification (1)： Microorganism biochemistry  (EG03020N)

Terms in the title (3)： 光音響分光法 ,  緑膿菌 ,  同定