Evaluation of sample extracting methods of FCSM by Lactobacillus acidophilus based on a UPLC-Q-TOF-MS global metabolomics analysis

被引:6
作者
Wang, Yongqiang [1 ,2 ]
Zhang, Wenju [1 ]
Nie, Cunxi [1 ]
Chen, Cheng [1 ]
Zhang, Xiaoyang [1 ]
Hu, Jianhe [2 ]
机构
[1] Shihezi Univ, Coll Anim Sci & Technol, Shihezi, Xinxiang, Peoples R China
[2] Henan Inst Sci & Technol, Coll Anim Sci & Technol, Xinxiang, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Metabolomics; Extract; Fermentation; FCSM; Lactobacillus acidophilus; UPLC-Q-TOF-MS; SOLID-STATE FERMENTATION; ESCHERICHIA-COLI; COTTONSEED MEAL; METABOLITES; GOSSYPOL; DETOXIFICATION; OPTIMIZATION; BACTERIA; YEAST; DIETS;
D O I
10.1016/j.bjm.2017.08.008
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The study of metabolomics requires extracting as many metabolites as possible from a biological sample. This study aimed to determine the optimal method for the extraction of metabolites from solid-state fermented cottonseed meal (FCSM). The UPLC-Q-TOF-MS global metabolomics technology was used to detect the metabolites in FCSM, and the extraction quantity and extraction efficiency of seven different extraction methods, specifically the WA, 50MeOH, 50MeOHB, 50MeCNB, 80MeOHB, 80MeOH and AMF methods were evaluated. The results showed that the number of VIP metabolites extracted by AMF method are 196 and 184 in ESI+ and ESI- mode respectively, it is the largest number of all exacted methods; and the AMF methods also provided a higher extraction efficiency compared with the other methods, especially in indoleacrylic acid, DL-tryptophan and epicatechin (p < 0.01). As a result, AMF/-4 degrees C method was identified as the best method for the extraction of metabolites from FCSM by Lactobacillus acidophilus. Our study establishes a technical basis for future metabolomics research of fermented feed. (C) 2017 Sociedade Brasileira de Microbiologia. Published by Elsevier Editora Ltda.
引用
收藏
页码:392 / 400
页数:9
相关论文
共 36 条
[1]  
[Anonymous], ANAL METHODS
[2]  
[Anonymous], RAPID CLASSIFICATION
[3]   Large-scale human metabolomics studies: A strategy for data (pre-) processing and validation [J].
Bijlsma, S ;
Bobeldijk, L ;
Verheij, ER ;
Ramaker, R ;
Kochhar, S ;
Macdonald, IA ;
van Ommen, B ;
Smilde, AK .
ANALYTICAL CHEMISTRY, 2006, 78 (02) :567-574
[4]   Leakage-free rapid quenching technique for yeast metabolomics [J].
Canelas, Andre B. ;
Ras, Cor ;
ten Pierick, Angela ;
van Dam, Jan C. ;
Heijnen, Joseph J. ;
Van Gulik, Walter M. .
METABOLOMICS, 2008, 4 (03) :226-239
[5]   Optimization of the quenching method for metabolomics analysis of Lactobacillus bulgaricus [J].
Chen, Ming-ming ;
Li, Ai-li ;
Sun, Mao-cheng ;
Feng, Zhen ;
Meng, Xiang-chen ;
Wang, Ying .
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2014, 15 (04) :333-342
[6]   A METHOD FOR THE DETERMINATION OF CHANGES OF GLYCOLYTIC METABOLITES IN YEAST ON A SUBSECOND TIME SCALE USING EXTRACTION AT NEUTRAL PH [J].
DEKONING, W ;
VANDAM, K .
ANALYTICAL BIOCHEMISTRY, 1992, 204 (01) :118-123
[7]  
Eriksson L., 2006, MULTI MEGAVARIATE 2, V45, P362
[8]   Comparison of quenching and extraction methodologies for metabolome analysis of Lactobacillus plantarum [J].
Faijes, Magda ;
Mars, Astrid E. ;
Smid, Eddy J. .
MICROBIAL CELL FACTORIES, 2007, 6 (1)
[9]   Signature-Discovery Approach for Sample Matching of a Nerve-Agent Precursor Using Liquid Chromatography-Mass Spectrometry, XCMS, and Chemometrics [J].
Fraga, Carlos G. ;
Clowers, Brian H. ;
Moore, Ronald J. ;
Zink, Erika M. .
ANALYTICAL CHEMISTRY, 2010, 82 (10) :4165-4173
[10]  
Hajjaj H, 1998, FEMS MICROBIOL LETT, V164, P195, DOI 10.1016/S0378-1097(98)00191-8