Back to Search Start Over

Rapid analysis and identification of meat species by laser-ablation electrospray mass spectrometry (LAESI-MS).

Authors :
Zhou, Wenzhao
Xia, Lei
Huang, Chaoqun
Yang, Jingwei
Shen, Chengyin
Jiang, Haihe
Chu, Yannan
Source :
Rapid Communications in Mass Spectrometry: RCM; 2016 Supplement, Vol. 30, p116-121, 6p
Publication Year :
2016

Abstract

Rationale Laser-ablation electrospray ionization mass spectrometry (LAESI-MS) was applied to analyze fresh meat species without sample pretreatment. The study demonstrates that the LAESI-MS technique is a promising, rapid and accurate method for meat identification using a protocol combining principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). Methods A focused IR-laser was used for meat sample ablation at a wavelength of 2940 nm. The ablated particulates were carried through a transfer PTFE tube using air as carrier gas, delivered to the electrospray plume and ionized. A TOF-MS was used to detect the ion signal. The raw mass spectra were analyzed using the PCA and PLS-DA protocol. Results Five fresh meat samples, chicken, duck, pork, beef and mutton, were identified by the developed LAESI-MS technique using the protocol combining PCA and PLS-DA. The discrimination accuracy of all meat species is 100%, and the score plot also shows good identifying ability. Conclusions Five fresh meat samples were analyzed using the LAESI-MS technique. Each set of raw mass data was collected within 30 s and analyzed by the PCA and PLS-DA protocol. Eighteen, 19, 18, 17, and 15 markers for chicken, duck, pork, beef, and mutton, respectively, have been selected successfully for meat identification. The results demonstrate that LAESI-MS is a new reliable and rapid method for meat identification. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09514198
Volume :
30
Database :
Complementary Index
Journal :
Rapid Communications in Mass Spectrometry: RCM
Publication Type :
Academic Journal
Accession number :
117521040
Full Text :
https://doi.org/10.1002/rcm.7647