Literature DB >> 27855912

Target identification of volatile metabolites to allow the differentiation of lactic acid bacteria by gas chromatography-ion mobility spectrometry.

Janneth Gallegos1, Cristina Arce2, Rafael Jordano3, Lourdes Arce4, Luis M Medina3.   

Abstract

The purpose of this work was to study the potential of gas chromatography-ion mobility spectrometry (GC-IMS) to differentiate lactic acid bacteria (LAB) through target identification and fingerprints of volatile metabolites. The LAB selected were used as reference strains for their influence in the flavour of cheese. The four strains of LAB can be distinguished by the fingerprints generated by the volatile organic compounds (VOCs) emitted. 2-butanone, 2-pentanone, 2-heptanone and 3-methyl-1-butanol were identified as relevant VOCs for Lactobacillus casei and Lactobacillus paracasei subsp. paracasei. 2-Butanone and 3-methyl-1-butanol were identified in Lactococcus lactis subsp. lactis and Lactococcus cremoris subsp. cremoris. The IMS signals monitoring during a 24-30h period showed the growth of the LAB in vitro. The results demonstrated that GC-IMS is a useful technology for bacteria recognition and also for screening the aromatic potential of new isolates of LAB.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  IMS fingerprints; Lactic acid bacteria; Lactobacillus; Lactococcus; Metabolites; Volatile organic compounds

Mesh:

Substances:

Year:  2016        PMID: 27855912     DOI: 10.1016/j.foodchem.2016.10.022

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  6 in total

1.  Studying dynamic aroma release by headspace-solid phase microextraction-gas chromatography-ion mobility spectrometry (HS-SPME-GC-IMS): method optimization, validation, and application.

Authors:  Christine F Thomas; Ellen Zeh; Selina Dörfel; Yanyan Zhang; Jörg Hinrichs
Journal:  Anal Bioanal Chem       Date:  2021-03-02       Impact factor: 4.142

2.  Analysis of Volatile Flavor Compounds of Corn Under Different Treatments by GC-MS and GC-IMS.

Authors:  Kangyi Zhang; Lingling Gao; Can Zhang; Tao Feng; Haining Zhuang
Journal:  Front Chem       Date:  2022-07-04       Impact factor: 5.545

3.  Microbiota and Metabolite Profiling Combined With Integrative Analysis for Differentiating Cheeses of Varying Ripening Ages.

Authors:  Roya Afshari; Christopher J Pillidge; Daniel A Dias; A Mark Osborn; Harsharn Gill
Journal:  Front Microbiol       Date:  2020-11-26       Impact factor: 5.640

4.  High biodiversity in a limited mountain area revealed in the traditional production of Historic Rebel cheese by an integrated microbiota-lipidomic approach.

Authors:  Federica Turri; Paola Cremonesi; Giovanna Battelli; Marco Severgnini; Milena Brasca; Gustavo Gandini; Flavia Pizzi
Journal:  Sci Rep       Date:  2021-05-14       Impact factor: 4.379

5.  Diversity of Volatile Compounds in Raw Milk with Different n-6 to n-3 Fatty Acid Ratio.

Authors:  Ning Li; Guoxin Huang; Yangdong Zhang; Nan Zheng; Shengguo Zhao; Jiaqi Wang
Journal:  Animals (Basel)       Date:  2022-01-21       Impact factor: 2.752

6.  Shifts in the Bacterial Community Related to Quality Properties of Vacuum-Packaged Peeled Potatoes during Storage.

Authors:  Zudi Li; Wenting Zhao; Yue Ma; Hao Liang; Dan Wang; Xiaoyan Zhao
Journal:  Foods       Date:  2022-04-15
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.