ISSN: 0973-7510

E-ISSN: 2581-690X

Lei Zhai1#, Yafang Lin2#, Su Yao1, Chongtao Ge2, Youqiang Xu1,
Yuanyuan Ge1, Yanhua Cao1, Xiaoli Tang1, Xin Zhang1,
Jeffrey K. Domsic3, Jiquan Liu4 and Chi Cheng1
1China National Research Institute of Food and Fermentation Industries,
China Center of Industrial Culture Collection, Beijing 100015, China.
2Procter & Gamble Technologies (Beijing) Ltd, Beijing 101312, China.
3Procter & Gamble Mason Business Center, Mason, Ohio, 45040, United States of America.
4Procter & Gamble International Operations SA Singapore Branch, 70 Biopolis Street 138547, Singapore.
J. Pure Appl. Microbiol., 2016, 10 (3): 1701-1714
© The Author(s). 2016
Received: 06/04/2016 | Accepted: 19/05/2016 | Published: 30/09/2016

Matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microorganism identification. Studies have applied this technology for identification of clinical isolates and verified its speed, high-throughput and cost effectiveness. Species from industries might be different with those of clinical isolates, and identifications of industrial bacteria are rarely reported. In this study, we applied this technology for industrial bacteria identification. We collected 152 strains from consumer goods industries, which scored lower than 2.0 (unreliable at species level). The strains were further analyzed by 16S rRNA and housekeeping gene sequence analysis, and physiological and biochemical analysis where necessary. The accuracy of MALDI-TOF MS identification highly depends on the scale of the spectra database. By enriching the database with the obtained mass spectrometry data (spectra and identifications), industrial isolate identifications can be improved by MALDI-TOF MS. This will enhance the robustness of this system beyond its current exceptional performance that includes use for in vitro diagnostics.


MALDI-TOF MS; Consumer goods; Bacteria; Identification.

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© The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.