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本文引用的文献

1
Hand-held synchronous scan spectrometer for in situ and immediate detection of live/dead bacteria ratio.用于原位即时检测活/死细菌比例的手持式同步扫描光谱仪。
Rev Sci Instrum. 2017 Nov;88(11):114301. doi: 10.1063/1.4991351.
2
The distribution of carbapenem- and colistin-resistance in Gram-negative bacteria from the Tamil Nadu region in India.印度泰米尔纳德邦地区革兰氏阴性菌对碳青霉烯类和黏菌素耐药性的分布情况。
J Med Microbiol. 2017 Jul;66(7):874-883. doi: 10.1099/jmm.0.000508. Epub 2017 Jul 3.
3
Multicenter Clinical and Molecular Epidemiological Analysis of Bacteremia Due to Carbapenem-Resistant Enterobacteriaceae (CRE) in the CRE Epicenter of the United States.美国碳青霉烯类耐药肠杆菌科细菌(CRE)感染中心地区耐碳青霉烯类肠杆菌科细菌(CRE)所致菌血症的多中心临床与分子流行病学分析
Antimicrob Agents Chemother. 2017 Mar 24;61(4). doi: 10.1128/AAC.02349-16. Print 2017 Apr.
4
Comparing the Outcomes of Patients With Carbapenemase-Producing and Non-Carbapenemase-Producing Carbapenem-Resistant Enterobacteriaceae Bacteremia.比较产碳青霉烯酶与不产碳青霉烯酶的耐碳青霉烯类肠杆菌科细菌血症患者的结局
Clin Infect Dis. 2017 Feb 1;64(3):257-264. doi: 10.1093/cid/ciw741. Epub 2016 Nov 9.
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Multicomponent analysis by synchronous luminescence spectrometry.同步荧光光谱法进行多组分分析
Anal Chem. 1978 Mar;50(3):396-401. doi: 10.1021/ac50025a010.
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The antibiotic resistance crisis: part 1: causes and threats.抗生素耐药性危机:第一部分:成因与威胁。
P T. 2015 Apr;40(4):277-83.
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Microbiology, resistance patterns, and risk factors of mortality in ventilator-associated bacterial pneumonia in a Northern Thai tertiary-care university based general surgical intensive care unit.泰国北部一所三级护理大学综合外科重症监护病房呼吸机相关性细菌性肺炎的微生物学、耐药模式和死亡率的危险因素。
Infect Drug Resist. 2014 Aug 16;7:203-10. doi: 10.2147/IDR.S67267. eCollection 2014.
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Seven ways to preserve the miracle of antibiotics.七种方法保护抗生素这一医学奇迹。
Clin Infect Dis. 2013 May;56(10):1445-50. doi: 10.1093/cid/cit070. Epub 2013 Feb 12.
9
Antimicrobial-resistant pathogens associated with healthcare-associated infections: summary of data reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2009-2010.与医疗保健相关感染相关的抗微生物药物耐药病原体:2009-2010 年向疾病预防控制中心国家医疗保健安全网络报告的数据摘要。
Infect Control Hosp Epidemiol. 2013 Jan;34(1):1-14. doi: 10.1086/668770. Epub 2012 Nov 27.
10
Fluorescence spectroscopy for rapid detection and classification of bacterial pathogens.荧光光谱法快速检测和分类细菌病原体。
Appl Spectrosc. 2009 Nov;63(11):1251-5. doi: 10.1366/000370209789806993.

利用同步荧光和主成分分析原位检测经灭活后的活菌与死菌的比例。

In situ detection of live-to-dead bacteria ratio after inactivation by means of synchronous fluorescence and PCA.

机构信息

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843.

Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843.

出版信息

Proc Natl Acad Sci U S A. 2018 Jan 23;115(4):668-673. doi: 10.1073/pnas.1716514115. Epub 2018 Jan 8.

DOI:10.1073/pnas.1716514115
PMID:29311322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5789938/
Abstract

The determination of live and dead bacteria is of considerable significance for preventing health care-associated infection in hospitals, field clinics, and other areas. In this study, the viable (live) and nonviable (dead) bacteria in a sample were determined by means of their fluorescence spectra and principal component analysis (PCA). Data obtained in this study show that it is possible to identify bacteria strains and determine the live/dead ratio after UV light inactivation and antibiotic treatment, in situ, within minutes. In addition, synchronous fluorescence scans enable the identification of bacterial components such as tryptophan, tyrosine, and DNA. Compared with the time-consuming plating and culturing methods, this study renders a means for rapid detection and determination of live and dead bacteria.

摘要

确定活细菌和死细菌对于预防医院、野外诊所和其他领域的医源性感染具有重要意义。本研究采用荧光光谱和主成分分析(PCA)的方法对样本中的活细菌和死细菌进行了测定。本研究获得的数据表明,有可能在几分钟内在原位鉴定细菌菌株,并确定经紫外线灭活和抗生素处理后的活菌/死菌比例。此外,同步荧光扫描可识别细菌成分,如色氨酸、酪氨酸和 DNA。与耗时的平板和培养方法相比,本研究提供了一种快速检测和确定活细菌和死细菌的方法。