Sample Preparation Free Mass Spectrometry Using Laser-Assisted Rapid Evaporative Ionization Mass Spectrometry: Applications to Microbiology, Metabolic Biofluid Phenotyping, and Food Authenticity

被引:21
|
作者
Cameron, Simon J. S. [1 ,2 ]
Perdones-Montero, Alvaro [1 ]
Van Meulebroek, Lieven [3 ]
Burke, Adam [1 ]
Alexander-Hardiman, Kate [1 ]
Simon, Daniel [1 ,4 ]
Schaffer, Richard [4 ]
Balog, Julia [4 ]
Karancsi, Tamas [4 ]
Rickards, Tony [5 ]
Rebec, Monica [5 ]
Stead, Sara [6 ]
Vanhaecke, Lynn [2 ,3 ]
Takats, Zoltan [1 ,2 ]
机构
[1] Imperial Coll London, Dept Metab Digest & Reprod, London SW7 2AZ, England
[2] Queens Univ Belfast, Sch Biol Sci, Inst Global Food Secur, Belfast BT9 5DL, Antrim, North Ireland
[3] Univ Ghent, Dept Vet Publ Hlth & Food Safety, Lab Chem Anal, B-9820 Ghent, Belgium
[4] Waters Res Ctr, H-1031 Budapest, Hungary
[5] Imperial Coll Healthcare NHS Trust, Dept Microbiol, London W6 8RD, England
[6] Waters Corp, Wilmslow SK9 4AX, Cheshire, England
基金
英国生物技术与生命科学研究理事会; 欧洲研究理事会;
关键词
mass spectrometry; ambient ionization mass spectrometry; automation; microbiology; food authenticity; metabolic phenotyping; IDENTIFICATION; MICROORGANISMS; SENSITIVITY; DIAGNOSTICS; TOOL; MS;
D O I
10.1021/jasms.0c00452
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Mass spectrometry has established itself as a powerful tool in the chemical, biological, medical, environmental, and agricultural fields. However, experimental approaches and potential application areas have been limited by a traditional reliance on sample preparation, extraction, and chromatographic separation. Ambient ionization mass spectrometry methods have addressed this challenge but are still somewhat restricted in requirements for sample manipulation to make it suitable for analysis. These limitations are particularly restrictive in view of the move toward high-throughput and automated analytical workflows. To address this, we present what we consider to be the first automated sample-preparation-free mass spectrometry platform utilizing a carbon dioxide (CO2) laser for sample thermal desorption linked to the rapid evaporative ionization mass spectrometry (LA-REIMS) methodology. We show that the pulsatile operation of the CO2 laser is the primary factor in achieving high signal-to-noise ratios. We further show that the LA-REIMS automated platform is suited to the analysis of three diverse biological materials within different application areas. First, clinical microbiology isolates were classified to species level with an accuracy of 97.2%, the highest accuracy reported in current literature. Second, fecal samples from a type 2 diabetes mellitus cohort were analyzed with LA-REIMS, which allowed tentative identification of biomarkers which are potentially associated with disease pathogenesis and a disease classification accuracy of 94%. Finally, we showed the ability of the LA-REIMS system to detect instances of adulteration of cooking oil and determine the geographical area of production of three protected olive oil products with 100% classification accuracy.
引用
收藏
页码:1393 / 1401
页数:9
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