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Liu D, Zhou M, Tan H, Xiong G, Wang L, Shi L, Li C, Wu W, Qiao Y. Metabolomics, volatolomics, and bioinformatics analyses of the effects of ultra-high pressure pretreatment on taste and flavour parameters of cured Culter alburnus. Food Chem 2024; 453:139649. [PMID: 38762947 DOI: 10.1016/j.foodchem.2024.139649] [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: 12/14/2023] [Revised: 05/08/2024] [Accepted: 05/10/2024] [Indexed: 05/21/2024]
Abstract
The effects of ultra-high pressure (UHP) pretreatment (50-250 MPa) on the fish curing were studied. UHP increased the overall volatile compound concentration of cured fish. Among 50-250 MPa five treatment groups, 150 MPa UHP group exhibited the highest total free amino acid content (294.34 mg/100 g) with that of the control group being 92.39 mg/100 g. The activity of cathepsin L was increased under 50-200 MPa UHP treatment (62.28-58.15 U/L), compared with that in the control group (53.80 U/L). UHP treatment resulted in a significant increase in small molecule compounds, especially the amino acid dipeptides and ATP metabolic products. Under UHP treatments, the bacterial phyla Actinobacteriota (1.04-5.25 %), Bacteroidota (0.20-4.47 %), and Deinococcota (0.00-0.05 %) exhibited an increased abundance, and they promoted taste and flavor formation. Our results indicated that UHP is a promising pretreatment method to improve taste and flavour in cured fish by affecting the microorganisms, cathepsin, and proteins.
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Affiliation(s)
- Dongyin Liu
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; Agro-product Processing Research Sub-center of Hubei Innovation Center of Agriculture Science and Technology, China; Key Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Mingzhu Zhou
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; Agro-product Processing Research Sub-center of Hubei Innovation Center of Agriculture Science and Technology, China; Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, Hubei Provincial Cooperative Innovation Center of Industrial Fermentation, Hubei University of Technology, Wuhan 430068, China
| | - Hongyuan Tan
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; Agro-product Processing Research Sub-center of Hubei Innovation Center of Agriculture Science and Technology, China; School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan 430205, China
| | - Guangquan Xiong
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; Agro-product Processing Research Sub-center of Hubei Innovation Center of Agriculture Science and Technology, China
| | - Lan Wang
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; Agro-product Processing Research Sub-center of Hubei Innovation Center of Agriculture Science and Technology, China
| | - Liu Shi
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; Agro-product Processing Research Sub-center of Hubei Innovation Center of Agriculture Science and Technology, China
| | - Chuan Li
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, School of Food Science and Engineering, Hainan University, Haikou 570228, China
| | - Wenjin Wu
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; Agro-product Processing Research Sub-center of Hubei Innovation Center of Agriculture Science and Technology, China
| | - Yu Qiao
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; Agro-product Processing Research Sub-center of Hubei Innovation Center of Agriculture Science and Technology, China.
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2
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Kim SG, Kim HY. Effect of Starter Culture and Temperature on the Flavor and Sensory Characteristics of Dry-Cured Ham. Food Sci Anim Resour 2024; 44:570-585. [PMID: 38765286 PMCID: PMC11097021 DOI: 10.5851/kosfa.2024.e1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/27/2023] [Accepted: 01/01/2024] [Indexed: 05/21/2024] Open
Abstract
This study focused on understanding the effects of yeast and mold on the sensory properties of dry-cured ham aged at 20°C and 25°C. Debaryomyces hansenii isolated from Doenjang and fermented sausages, and Penicillium nalgiovense isolated from fermented sausages were utilized. The CIE a* tended to increase in all treatments as the aging period increased. At 6 weeks of aging, DFD25 showed a significantly higher CIE a* value than other treatments. The shear force tended to increase in all treatments as the aging period increased. At 6 weeks of aging, among the treatments aged at 25°C, DFD25 showed a low tendency to shear force. The PC1 of the electronic nose was 42.872%. At 25°C, the hexane content was higher and levels of ethanol, propan-2-one, 2,4,5-trimethylthiazole, and limonene were lower than that at 20°C. DFD25 showed significantly higher hexane content and significantly lower limonene content than other treatments. The PC1 of the electronic tongue was 84.529%. All treatments, except for the C starter, exhibited higher salt and lower sour levels at 25°C compared to 20°C when the same starter was used. The DFD25 showed the lowest sour taste and a higher tendency of umami than the other treatments. Sensory evaluation revealed that DFD25 had significantly higher scores for texture than C25, whereas no significant differences were observed in other aspects. Therefore, the used starters are considered suitable for aging at 25°C; among them, the DFD starter demonstrates superior qualities and enhanced commercial potential compared to the control.
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Affiliation(s)
- Sun-Gyeom Kim
- Department of Animal Resources Science, Kongju National University, Yesan 32439, Korea
| | - Hack-Youn Kim
- Department of Animal Resources Science, Kongju National University, Yesan 32439, Korea
- Resource Science Research Institute, Kongju National University, Yesan 32439, Korea
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Yao W, Ma S, Wu H, Liu D, Liu J, Zhang M. Flavor profile analysis of grilled lamb seasoned with classic salt, chili pepper, and cumin (Cuminum cyminum) through HS-SPME-GC-MS, HS-GC-IMS, E-nose techniques, and sensory evaluation on Sonit sheep. Food Chem 2024; 454:139514. [PMID: 38797107 DOI: 10.1016/j.foodchem.2024.139514] [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: 01/18/2024] [Revised: 04/11/2024] [Accepted: 04/27/2024] [Indexed: 05/29/2024]
Abstract
In this study, the volatile flavor profiles of grilled lamb seasoned with salt, chili pepper, and cumin were analyzed employing HS-SPME-GC-MS, HS-GC-IMS, E-nose, and sensory evaluation techniques. The E-nose was found effective in differentiating the samples seasoned variously. A total of 67 volatile compounds were identified by HS-SPME-GC-MS, and 59 by HS-GC-IMS. The PCA demonstrated a correlation between the seasonings and the volatile compounds, with five principal components accounting for 99.54% of the total variance. 1-octen-3-ol, 3-furanmethanol, acetic acid, and heptanal were introduced by salt; compounds like propyl acetate were correlated with chili pepper; a broader range, including ethyl 3-methylbutanoate and high concentrations of alpha-pinene, was associated with cumin. Samples seasoned with all three ingredients showed similarities to those associated with cumin, alongside unique compounds such as gamma-octalactone and alpha-pinene. Sensory evaluations by consumers indicated that the combination of these seasonings significantly enhanced the overall acceptability of the grilled lamb. PRACTICAL APPLICATION: Utilizing modern analytical techniques, this study has successfully revealed the distinct impacts of seasonings-salt, chili pepper, and cumin-on the flavor profile of grilled lamb. By providing experimental data on how each seasonings influence the flavor profile of grilled lamb prepared with Sonit sheep. The research offers theoretical foundation for the development of grilled lamb products. By conducting a thorough comparison between GC-MS and GC-IMS, this study has expanded the understanding of the distinct characteristics of these two technologies. It has also provided a clearer analysis of some flavor compounds dimers produced in GC-IMS system.
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Affiliation(s)
- Wensheng Yao
- College of Food Science and Engineering, Bohai University, Jinzhou 121013, China; Meat Innovation Center of Liaoning Province, Jinzhou 121013, China
| | - Shuangyu Ma
- College of Food Science and Engineering, Bohai University, Jinzhou 121013, China
| | - Huiying Wu
- College of Chemistry and Materials Engineering, Bohai University, Jinzhou 121013, China
| | - Dengyong Liu
- College of Food Science and Engineering, Bohai University, Jinzhou 121013, China; Meat Innovation Center of Liaoning Province, Jinzhou 121013, China.
| | - Jun Liu
- College of Food Science and Engineering, Bohai University, Jinzhou 121013, China
| | - Mingcheng Zhang
- College of Food Science and Engineering, Bohai University, Jinzhou 121013, China; Meat Innovation Center of Liaoning Province, Jinzhou 121013, China
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Wang Z, Nie T, Zhang H, Wang W, Chen H, Wang S, Sun B. Correlation Analysis between Volatile Compounds and Quality Attributes in Pork Tenderloin in Response to Different Stir-Frying Processes. Foods 2023; 12:4299. [PMID: 38231781 DOI: 10.3390/foods12234299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/24/2023] [Accepted: 11/25/2023] [Indexed: 01/19/2024] Open
Abstract
Volatile compounds and physicochemical properties of meat are significantly changed by cooking processes. This study explored the influence of different stir-frying temperatures and times on the dynamic changes of the physicochemical characteristics and volatiles of pork tenderloin and determined the correlation between them. Results showed that time played more of a role than temperature. At the same temperature, the water content decreased (p < 0.05) and the cooking loss increased (p < 0.05) with stir-frying time extending. The L* value and the b* value showed first an increasing and then decreasing trend (p < 0.05), while the a* value significantly increased (p < 0.05). The higher the cooking temperature of sample, the faster the indexes changed. In stir-fried samples, 50 volatiles were identified. Correlation analysis showed that among the quality attributes, b* value and water content had the strongest impact on volatiles. The water content was negatively correlated with most of the compounds attributed to the desired aroma of stir-fried samples, while the correlation between the b* value and these volatiles was positive. Hence, changes in the types and contents of volatiles in stir-fried pork tenderloin could be predicted by detection of b* value and water content.
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Affiliation(s)
- Ziqiang Wang
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University, Beijing 100048, China
| | - Tianjie Nie
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University, Beijing 100048, China
| | - Huiying Zhang
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University, Beijing 100048, China
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China
| | - Wenqian Wang
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University, Beijing 100048, China
| | - Haitao Chen
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University, Beijing 100048, China
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China
| | - Shuqi Wang
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University, Beijing 100048, China
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China
| | - Baoguo Sun
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University, Beijing 100048, China
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China
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Kang M, Guo Y, Ren Z, Ma W, Luo Y, Zhao K, Wang X. Volatile Fingerprint and Differences in Volatile Compounds of Different Foxtail Millet ( Setaria italica Beauv.) Varieties. Foods 2023; 12:4273. [PMID: 38231730 DOI: 10.3390/foods12234273] [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: 10/07/2023] [Revised: 10/31/2023] [Accepted: 11/17/2023] [Indexed: 01/19/2024] Open
Abstract
Aroma components in foxtail millet are one of the key factors in origin traceability and quality control, and they are associated with consumer acceptance and the corresponding processing suitability. However, the volatile differences based on the foxtail millet varieties have not been studied further. The present study was undertaken to develop the characteristic volatile fingerprint and analyze the differences in volatile compounds of 20 foxtail millet varieties by electronic nose (E-Nose), headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS), and headspace solid-phase microextraction/gas chromatography-mass spectrometry (HS-SPME/GC-MS). A total of 43 volatile compounds were tentatively identified in foxtail millet samples, 34 and 18 by GC-IMS and GC-MS, respectively. Aldehydes, alcohols, and ketones were the major volatile compounds, and the hexanal content was the highest. The characteristic volatile fingerprint of foxtail millet was successfully constructed. A total of 39 common volatile compounds were found in all varieties. The content of hexanal, heptanal, 1-pentanol, acetophenone, 2-heptanone, and nonanal were explored to explain the aroma characteristics among the different varieties, and different varieties can be separated based on these components. The results demonstrate that the combination of E-Nose, GC-IMS, and GC-MS can be a fast and accurate method to identify the general aroma peculiarities of different foxtail millet varieties.
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Affiliation(s)
- Miao Kang
- College of Food Science and Engineering, Shanxi Agricultural University, Jinzhong 030801, China
| | - Yu Guo
- College of Food Science and Engineering, Shanxi Agricultural University, Jinzhong 030801, China
| | - Zhiyuan Ren
- College of Food Science and Engineering, Shanxi Agricultural University, Jinzhong 030801, China
| | - Weiwei Ma
- College of Food Science and Engineering, Shanxi Agricultural University, Jinzhong 030801, China
| | - Yuewei Luo
- College of Food Science and Engineering, Shanxi Agricultural University, Jinzhong 030801, China
| | - Kai Zhao
- College of Agriculture, Shanxi Agricultural University, Jinzhong 030801, China
| | - Xiaowen Wang
- College of Food Science and Engineering, Shanxi Agricultural University, Jinzhong 030801, China
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