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Zhang S, Shang Z, Liu Z, Hu X, Yi J. Flavor production in fermented chayote inoculated with lactic acid bacteria strains: Genomics and metabolomics based analysis. Food Res Int 2023; 163:112224. [PMID: 36596153 DOI: 10.1016/j.foodres.2022.112224] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 11/18/2022] [Accepted: 11/20/2022] [Indexed: 11/27/2022]
Abstract
In this study, genomics and metabolomics were combined to reveal possible bio-synthetic pathways of core flavor compounds in pickled chayote via lactic acid bacteria (LAB) fermentation. The Lactiplantibacillus plantarum, Levilactobacillus brevis, and Lacticaseibacillus paracasei were selected as core LAB strains with better flavor-producing ability for chayote fermentation. The genomic results showed L. plantarum contained the largest number of metabolism annotated genes, while L. brevis had the fewest. Besides, the largest number of volatile compounds was detected in chayote fermented by L. plantarum, followed by L. brevis and L. paracasei. Some unique odor-active compounds (aldehydes, esters, and alcohols) and taste-active compounds (amino acids and dipeptides) were produced by different LAB strains. Accordingly, phenylalanine metabolic pathway (M00360), amino acid metabolic decomposition pathway (the Ehrlich pathway) and the anabolic pathway (the Harris pathway), and fatty acid biosynthesis pathway (M00061) were the main biosynthesis pathway involved in the flavor formation via LAB fermentation.
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Affiliation(s)
- Shiyao Zhang
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming, Yunnan Province 650500, China.
| | - Zhixun Shang
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming, Yunnan Province 650500, China.
| | - Zhijia Liu
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming, Yunnan Province 650500, China.
| | - Xiaosong Hu
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming, Yunnan Province 650500, China; College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
| | - Junjie Yi
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China; Yunnan Engineering Research Center for Fruit & Vegetable Products, Kunming, Yunnan Province 650500, China.
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Liu S, Zhao K, Huang M, Zeng M, Deng Y, Li S, Chen H, Li W, Chen Z. Research progress on detection techniques for point-of-care testing of foodborne pathogens. Front Bioeng Biotechnol 2022; 10:958134. [PMID: 36003541 PMCID: PMC9393618 DOI: 10.3389/fbioe.2022.958134] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 06/30/2022] [Indexed: 11/21/2022] Open
Abstract
The global burden of foodborne disease is enormous and foodborne pathogens are the leading cause of human illnesses. The detection of foodborne pathogenic bacteria has become a research hotspot in recent years. Rapid detection methods based on immunoassay, molecular biology, microfluidic chip, metabolism, biosensor, and mass spectrometry have developed rapidly and become the main methods for the detection of foodborne pathogens. This study reviewed a variety of rapid detection methods in recent years. The research advances are introduced based on the above technical methods for the rapid detection of foodborne pathogenic bacteria. The study also discusses the limitations of existing methods and their advantages and future development direction, to form an overall understanding of the detection methods, and for point-of-care testing (POCT) applications to accurately and rapidly diagnose and control diseases.
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Affiliation(s)
- Sha Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Kaixuan Zhao
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Meiyuan Huang
- Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Department of Pathology, Central South University, Zhuzhou, China
| | - Meimei Zeng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Hui Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Wen Li
- College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
- *Correspondence: Zhu Chen,
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