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Iijima Y, Miwa A, Shimada K, Horita S, Kamiko Y, Ito Y, Sasamoto K, Nakahara T, Koizumi T, Ochiai N. Superior high-efficiency and high-throughput volatile flavor extraction of Japanese fermented seasonings by solvent-assisted stir bar solid extraction with reverse extraction. J Biosci Bioeng 2024; 137:372-380. [PMID: 38368121 DOI: 10.1016/j.jbiosc.2024.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/07/2024] [Accepted: 01/18/2024] [Indexed: 02/19/2024]
Abstract
Fermented seasonings have pleasant flavors that stimulate our appetite. Their flavoring properties change depending on factors such as their materials and fermented conditions. Therefore, a comparative analysis of their flavor is important when evaluating their quality. However, seasonings contain high levels of various matrices such as sugars, proteins, lipids, and ethanol, making it difficult to extract aroma compounds efficiently from them. In this study, we verified a high-efficient and high-throughput volatile flavor analysis of fermented seasonings by solvent-assisted stir bar solid extraction (SA-SBSE) with reverse extraction. We applied SA-SBSE to Japanese fermented seasonings, soy sauce, miso (fermented beans), and mirin (sweet rice wine) and compared their profiles with those from other common extraction methods, headspace gas-solid-phase microextraction (HS-SPME), liquid extraction with solvent-assisted flavor evaporation (LE-SAFE), and conventional SBSE (C-SBSE). The aroma properties and profiles of extracts from SA-SBSE were close to those of the original sample, being similar to that of LE-SAFE. In addition, potent aroma compounds in each sample were extracted by SA-SBSE and LE-SAFE, which were far superior to those by C-SBSE. For quantification, SA-SBSE extracts showed a good standard curve by the standard addition method. We could quantify maltol, one of the most common potent aroma compounds in all samples, for various commercial samples by such high-throughput analysis.
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Affiliation(s)
- Yoko Iijima
- Department of Applied Chemistry, Kogakuin University, 2665-1 Nakano-machi, Hachioji, Tokyo 192-0015, Japan; Department of Nutrition and Life Science, Kanagawa Institute of Technology, 1030 Shimo-ogino, Atsugi, Kanagawa 243-0292, Japan.
| | - Azusa Miwa
- Department of Nutrition and Life Science, Kanagawa Institute of Technology, 1030 Shimo-ogino, Atsugi, Kanagawa 243-0292, Japan
| | - Kaito Shimada
- Department of Applied Chemistry, Kogakuin University, 2665-1 Nakano-machi, Hachioji, Tokyo 192-0015, Japan
| | - Shunsuke Horita
- Department of Applied Chemistry, Kogakuin University, 2665-1 Nakano-machi, Hachioji, Tokyo 192-0015, Japan
| | - Yuho Kamiko
- Department of Applied Chemistry, Kogakuin University, 2665-1 Nakano-machi, Hachioji, Tokyo 192-0015, Japan
| | - Yusuke Ito
- Research and Development Division, Kikkoman Corporation, 338 Noda, Noda, Chiba 278-0037, Japan
| | - Kikuo Sasamoto
- GERSTEL K.K. 1-3-1 Nakane, Meguro-ku, Tokyo 152-0031, Japan
| | - Takeharu Nakahara
- Research and Development Division, Kikkoman Corporation, 338 Noda, Noda, Chiba 278-0037, Japan
| | - Taichi Koizumi
- Research and Development Division, Kikkoman Corporation, 338 Noda, Noda, Chiba 278-0037, Japan
| | - Nobuo Ochiai
- GERSTEL K.K. 1-3-1 Nakane, Meguro-ku, Tokyo 152-0031, Japan
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Hu B, Zhang C, Chu B, Gu P, Zhu B, Qian W, Chang X, Yu M, Zhang Y, Wang X. Unraveling the relationship between key aroma components and sensory properties of fragrant peanut oils based on flavoromics and machine learning. Food Chem X 2023; 20:100880. [PMID: 38144744 PMCID: PMC10739928 DOI: 10.1016/j.fochx.2023.100880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 08/27/2023] [Accepted: 09/13/2023] [Indexed: 12/26/2023] Open
Abstract
Key aroma components of 33 fragrant peanut oils with different aroma types were screened by combined using flavoromics and machine learning. A total of 108 volatile compounds were identified and 100 kinds of them were accurately quantified, and 38 compounds out of them were with odorant activity value ≥1. The 33 peanut oils presented varied intensity of 'fresh peanuts', 'roasted nut', 'burnt', 'over-burnt', 'sweet', 'peanut butter-like', 'puffed food' and 'exotic flavor', and could be classified into four aroma types, namely raw, light, thick and salty. Partial least squares regression analysis, random forest and classification regression tree revealed that 2-acetyl pyrazine had a negative effect on 'fresh peanuts' and could distinguish raw flavor samples well; 2-methylbutanal and 4-vinylguaiacol were key compounds of 'roasted nut' and had significant differences (P < 0.0001) in thick and raw flavor samples; furfural contributed to the 'puffed food' as well as key compound of salty flavor.
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Affiliation(s)
- Binfang Hu
- Beijing Key Laboratory of Food Processing and Safety in Forestry, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Chunhua Zhang
- COFCO Nutrition and Health Research Institute, Beijing 102209, China
- Beijing Key Laboratory of Nutrition & Health and Food Safety, Beijing 102209, China
- Beijing Engineering Laboratory of Geriatric Nutrition Food Research, Beijing 102209, China
| | - Baijun Chu
- COFCO Nutrition and Health Research Institute, Beijing 102209, China
- Beijing Key Laboratory of Nutrition & Health and Food Safety, Beijing 102209, China
- Beijing Engineering Laboratory of Geriatric Nutrition Food Research, Beijing 102209, China
| | - Peishan Gu
- Beijing Key Laboratory of Food Processing and Safety in Forestry, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Baoqing Zhu
- Beijing Key Laboratory of Food Processing and Safety in Forestry, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Wenchao Qian
- Beijing Key Laboratory of Food Processing and Safety in Forestry, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Xiaomin Chang
- Beijing Key Laboratory of Food Processing and Safety in Forestry, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Miao Yu
- COFCO Nutrition and Health Research Institute, Beijing 102209, China
- Beijing Key Laboratory of Nutrition & Health and Food Safety, Beijing 102209, China
- Beijing Engineering Laboratory of Geriatric Nutrition Food Research, Beijing 102209, China
| | - Yu Zhang
- Beijing Key Laboratory of Food Processing and Safety in Forestry, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Xiangyu Wang
- COFCO Nutrition and Health Research Institute, Beijing 102209, China
- Beijing Key Laboratory of Nutrition & Health and Food Safety, Beijing 102209, China
- Beijing Engineering Laboratory of Geriatric Nutrition Food Research, Beijing 102209, China
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Li L, Yi P, Sun J, Tang J, Liu G, Bi J, Teng J, Hu M, Yuan F, He X, Sheng J, Xin M, Li Z, Li C, Tang Y, Ling D. Genome-wide transcriptome analysis uncovers gene networks regulating fruit quality and volatile compounds in mango cultivar 'Tainong' during postharvest. Food Res Int 2023; 165:112531. [PMID: 36869530 DOI: 10.1016/j.foodres.2023.112531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 01/11/2023] [Accepted: 01/21/2023] [Indexed: 01/26/2023]
Abstract
Mango is one of the most economically important fruit; however, the gene regulatory mechanism associated with ripening and quality changes during storage remains largely unclear. This study explored the relationship between transcriptome changes and postharvest mango quality. Fruit quality patterns and volatile components were obtained using headspace gas chromatography and ion-mobility spectrometry (HS-GC-IMS). The changes in mango peel and pulp transcriptome were analyzed during four stages (pre-harvesting, harvesting, maturity, and overripe stages). Based on the temporal analysis, multiple genes involved in the biosynthesis of secondary metabolites were upregulated in both the peel and pulp during the mango ripening process. Moreover, cysteine and methionine metabolism related to ethylene synthesis were upregulated in the pulp over time. Weighted gene co-expression network analysis (WGCNA) further showed that the pathways of pyruvate metabolism, citrate cycle, propionate metabolism, autophagy, and SNARE interactions in vesicular transport were positively correlated with the ripening process. Finally, a regulatory network of important pathways from pulp to peel was constructed during the postharvest storage of mango fruit. The above findings provide a global insight into the molecular regulation mechanisms of postharvest mango quality and flavor changes.
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Affiliation(s)
- Li Li
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China; Guangxi University, 530004 Nanning, China
| | - Ping Yi
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China; Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, 100193 Beijing, China
| | - Jian Sun
- Guangxi Key Laboratory of Fruits and Vegetables Storage-processing Technology, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China; Guangxi Academy of Agricultural Sciences, 530007 Nanning, China.
| | - Jie Tang
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Guoming Liu
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Jinfeng Bi
- Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, 100193 Beijing, China
| | | | - Meijiao Hu
- Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences, 571101, Haikou, China
| | - Fang Yuan
- Guangxi Key Laboratory of Fruits and Vegetables Storage-processing Technology, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Xuemei He
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Jinfeng Sheng
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Ming Xin
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Zhichun Li
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Changbao Li
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Yayuan Tang
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
| | - Dongning Ling
- Agro-Food Science and Technology Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
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Datir S, Regan S. Advances in Physiological, Transcriptomic, Proteomic, Metabolomic, and Molecular Genetic Approaches for Enhancing Mango Fruit Quality. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:20-34. [PMID: 36573879 DOI: 10.1021/acs.jafc.2c05958] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Mango (Mangifera indica L.) is a nutritionally important fruit of high nutritive value, delicious in taste with an attractive aroma. Due to their antioxidant and therapeutic potential, mango fruits are receiving special attention in biochemical and pharmacognosy-based studies. Fruit quality determines consumer's acceptance, and hence, understanding the physiological, biochemical, and molecular basis of fruit development, maturity, ripening, and storage is essential. Transcriptomic, metabolomic, proteomic, and molecular genetic approaches have led to the identification of key genes, metabolites, protein candidates, and quantitative trait loci that are associated with enhanced mango fruit quality. The major pathways that determine the fruit quality include amino acid metabolism, plant hormone signaling, carbohydrate metabolism and transport, cell wall biosynthesis and degradation, flavonoid and anthocyanin biosynthesis, and carotenoid metabolism. Expression of the polygalacturonase, cutin synthase, pectin methyl esterase, pectate lyase, β-galactosidase, and ethylene biosynthesis enzymes are related to mango fruit ripening, flavor, firmness, softening, and other quality processes, while genes involved in the MAPK signaling pathway, heat shock proteins, hormone signaling, and phenylpropanoid biosynthesis are associated with diseases. Metabolomics identified volatiles, organic acids, amino acids, and various other compounds that determine the characteristic flavor and aroma of the mango fruit. Molecular markers differentiate the mango cultivars based on their geographical origins. Genetic linkage maps and quantitative trait loci studies identified regions in the genome that are associated with economically important traits. The review summarizes the applications of omics techniques and their potential applications toward understanding mango fruit physiology and their usefulness in future mango breeding.
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Affiliation(s)
- Sagar Datir
- Biology Department, Queen's University, Kingston, Ontario, CanadaK7L 3N6
- The Naoroji Godrej Centre for Plant Research, Shindewadi, Shirwal, Maharashtra - 412801 India
| | - Sharon Regan
- Biology Department, Queen's University, Kingston, Ontario, CanadaK7L 3N6
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