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Zhang W, Chen Y, Yun Y, Li C, Fang Y, Zhang W. Discrimination and characterization of different coconut water (CW) by their phenolic composition and volatile organic compounds (VOCs) using LC-MS/MS, HS-SPME-GC-MS, and HS-GC-IMS. J Food Sci 2023; 88:3758-3772. [PMID: 37530630 DOI: 10.1111/1750-3841.16711] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/24/2023] [Accepted: 07/05/2023] [Indexed: 08/03/2023]
Abstract
Three varieties of coconut (Cocos nucifera L.) water (CW) at two maturity stages were investigated for physicochemical and nutritional properties. The profile of phenolic compounds and volatile organic compounds (VOCs) was determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS), headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS), and headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS). Most of the properties of CW changed significantly with maturity rather than variety. The five most relevant phenolic compounds in CW were chlorogenic acid, 4-hydroxy-3,5-dimethoxycinnamic acid, L-epicatechin, and procyanidins B2 and B1. Variety played a more important role in phenolic composition than maturity, and Wenye No. 4 can be distinguished from other two varieties. Alcohols and esters were the main VOCs in CW identified by HS-GC-IMS and HS-SPME-GC-MS, respectively. Five and four compounds (VIP scores > 1) were characteristic compounds for CW by HS-GC-IMS and HS-SPME-GC-MS, respectively. The VOCs of Wenye Nos. 2 and 3 were more similar than those of Wenye No. 4. These findings could provide useful information for the selection of raw materials of CW used for different industrial purposes.
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Affiliation(s)
- Wende Zhang
- School of Food Science and Engineering, Hainan University, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan Institute for Food Control, Haikou, P. R. China
| | - Yang Chen
- School of Food Science and Engineering, Hainan University, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan Institute for Food Control, Haikou, P. R. China
| | - Yonghuan Yun
- School of Food Science and Engineering, Hainan University, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan Institute for Food Control, Haikou, P. R. China
| | - Congfa Li
- School of Food Science and Engineering, Hainan University, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan Institute for Food Control, Haikou, P. R. China
- Key Laboratory of Tropical Agricultural Products Processing Technology of Haikou City, Haikou, P. R. China
| | - Yajing Fang
- School of Food Science and Engineering, Hainan University, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan Institute for Food Control, Haikou, P. R. China
| | - Weimin Zhang
- School of Food Science and Engineering, Hainan University, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan Institute for Food Control, Haikou, P. R. China
- Key Laboratory of Tropical Agricultural Products Processing Technology of Haikou City, Haikou, P. R. China
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2
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Cai WQ, Jiang CY, Shang S, Wang SC, Zhu KY, Dong XP, Zhou DY, Jiang PF. Insight into the relationship between metabolite dynamic changes and microorganisms of sea urchin ( S. intermedius) gonads during storage. Food Chem X 2023; 18:100727. [PMID: 37397197 PMCID: PMC10314180 DOI: 10.1016/j.fochx.2023.100727] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 05/18/2023] [Accepted: 05/24/2023] [Indexed: 07/04/2023] Open
Abstract
Sea urchin gonads have high nutritional value and degenerate rapidly during storage. Previous assessment of the freshness of sea urchin gonads was based on experience without valid biochemical indicators. Thus, the current study is to find biochemical indicators representing the freshness of sea urchin gonads. Results showed that the dominant genera of sea urchin gonads were changed from Psychromonas, Ralstonia, and Roseimarinus to Aliivibrio, Psychrilyobacter, and Photobacterium. The differential metabolites of sea urchin gonads were mainly produced through amino acids metabolism. Among them, GC-TOF-MS based differential metabolites had the greatest enrichment in the valine, leucine and isoleucine biosynthesis pathway, while LC-MS based differential metabolites had the greatest enrichment in the alanine, aspartate and glutamate metabolism pathway. The growth of dominant genus (Aliivibrio) had a great influence on the production of differential metabolites. These results will provide valuable information for accurately judging the freshness and shelf life of sea urchin gonads.
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Affiliation(s)
- Wen-qiang Cai
- School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
- National Engineering Research Center of Seafood, Dalian 116034, China
| | - Cai-yan Jiang
- School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
- National Engineering Research Center of Seafood, Dalian 116034, China
| | - Shan Shang
- School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
- National Engineering Research Center of Seafood, Dalian 116034, China
| | - Shu-chen Wang
- School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
- National Engineering Research Center of Seafood, Dalian 116034, China
| | - Kai-yue Zhu
- School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
- National Engineering Research Center of Seafood, Dalian 116034, China
| | - Xiu-ping Dong
- School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
- National Engineering Research Center of Seafood, Dalian 116034, China
| | - Da-yong Zhou
- School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
- National Engineering Research Center of Seafood, Dalian 116034, China
| | - Peng-fei Jiang
- School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
- National Engineering Research Center of Seafood, Dalian 116034, China
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3
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Shen X, Wang T, Wei J, Li X, Deng F, Niu X, Wang Y, Kan J, Zhang W, Yun YH, Chen F. Potential of Near-Infrared Spectroscopy (NIRS) for Efficient Classification Based on Postharvest Storage Time, Cultivar and Maturity in Coconut Water. Foods 2023; 12:2415. [PMID: 37372626 DOI: 10.3390/foods12122415] [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: 05/22/2023] [Revised: 06/13/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Coconut water (CW) is a popular and healthful beverage, and ensuring its quality is crucial for consumer satisfaction. This study aimed to explore the potential of near-infrared spectroscopy (NIRS) and chemometric methods for analyzing CW quality and distinguishing samples based on postharvest storage time, cultivar, and maturity. CW from nuts of Wenye No. 2 and Wenye No. 4 cultivars in China, with varying postharvest storage time and maturities, were subjected to NIRS analysis. Partial least squares regression (PLSR) models were developed to predict reducing sugar and soluble sugar contents, revealing moderate applicability but lacking accuracy, with the residual prediction deviation (RPD) values ranging from 1.54 to 1.83. Models for TSS, pH, and TSS/pH exhibited poor performance with RPD values below 1.4, indicating limited predictability. However, the study achieved a total correct classification rate exceeding 95% through orthogonal partial least squares discriminant analysis (OPLS-DA) models, effectively discriminating CW samples based on postharvest storage time, cultivar, and maturity. These findings highlight the potential of NIRS combined with appropriate chemometric methods as a valuable tool for analyzing CW quality and efficiently distinguishing samples. NIRS and chemometric techniques enhance quality control in coconut water, ensuring consumer satisfaction and product integrity.
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Affiliation(s)
- Xiaojun Shen
- Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Tao Wang
- School of Food Science and Technology, Hainan University, Haikou 570228, China
| | - Jingyi Wei
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xin Li
- Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China
| | - Fuming Deng
- Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China
| | - Xiaoqing Niu
- Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China
- The Innovation Platform for Academicians of Hainan Province, Wenchang 571339, China
| | - Yuanyuan Wang
- Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China
| | - Jintao Kan
- Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China
| | - Weimin Zhang
- School of Food Science and Technology, Hainan University, Haikou 570228, China
| | - Yong-Huan Yun
- School of Food Science and Technology, Hainan University, Haikou 570228, China
- The Innovation Platform for Academicians of Hainan Province, Wenchang 571339, China
| | - Fusheng Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
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4
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Liu Z, Tian J, Miao Z, Liang W, Wang G. Metabolome and Transcriptome Profiling Reveal Carbon Metabolic Flux Changes in Yarrowia lipolytica Cells to Rapamycin. J Fungi (Basel) 2022; 8:jof8090939. [PMID: 36135664 PMCID: PMC9504542 DOI: 10.3390/jof8090939] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/04/2022] [Accepted: 09/04/2022] [Indexed: 11/24/2022] Open
Abstract
Yarrowia lipolytica is an oleaginous yeast for the production of oleochemicals and biofuels. Nitrogen deficiency is beneficial to lipids biosynthesis in Y. lipolytica. Target of rapamycin (TOR) regulates the utilization of nutrients, which is inhibited in nitrogen starvation or by rapamycin treatment. However, under nitrogen-rich conditions, the lipids biosynthesis in Y. lipolytica after inhibition of TOR by rapamycin is elusive. Combining metabolomics and transcriptomics analysis, we found that rapamycin altered multiple metabolic processes of Y. lipolytica grown in nitrogen-rich medium, especially the metabolisms of amino acids and lipids. A total of 176 differentially accumulated metabolites were identified after rapamycin treatment. Rapamycin increased the levels of tryptophan, isoleucine, proline, serine, glutamine, histidine, lysine, arginine and glutamic acid, and decreased the levels of threonine, tyrosine and aspartic acid. Two fatty acids in lipid droplets, stearic acid (down-regulated) and stearidonic acid (up-regulated), were identified. The expression of 2224 genes changed significantly after rapamycin treatment. Further analysis revealed that rapamycin reduced carbon flux through lipids biosynthesis, accompanied by increased carbon flux through fatty acids degradation and amino acid (especially glutamic acid, glutamine, proline and arginine) biosynthesis. The dataset provided here is valuable for understanding the molecular mechanisms of amino acid and lipids metabolisms in oleaginous yeast.
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Affiliation(s)
- Ziyu Liu
- Shandong Province Key Laboratory of Applied Mycology, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Junjie Tian
- Shandong Province Key Laboratory of Applied Mycology, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Zhengang Miao
- Shandong Engineering Research Center for Environment-Friendly Agricultural Pest Management, College of Plant Health and Medicine, Qingdao Agricultural University, Qingdao 266109, China
| | - Wenxing Liang
- Shandong Engineering Research Center for Environment-Friendly Agricultural Pest Management, College of Plant Health and Medicine, Qingdao Agricultural University, Qingdao 266109, China
| | - Guangyuan Wang
- Shandong Province Key Laboratory of Applied Mycology, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
- Correspondence:
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Kumar M, Agrawal PK, Roy P, Sircar D. GC-MS-based metabolomics reveals dynamic changes in the nutritionally important metabolites in coconut meat during nut maturation. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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6
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Li J, Zhu J, Li H, Ma J, Chen P, Zhou Y. The Effects of NAA on the Tuberous Root Yield and Quality of Rehmannia glutinosa and Its Regulatory Mechanism by Transcriptome and Metabolome Profiling. Curr Issues Mol Biol 2022; 44:3291-3311. [PMID: 35892713 PMCID: PMC9394425 DOI: 10.3390/cimb44080227] [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: 06/21/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 11/16/2022] Open
Abstract
Naphthylacetic acid (NAA) was used to increase the tuberous root yield of Rehmannia glutinosa, but the differences between its NAA-treated and control tuberous roots (NT and CG) and the regulatory mechanism of NAA effect remain unclear. In order to investigate them, NTs and CGs were used as materials, and both yield-related indices were measured; the metabolomics and transcriptomics were used to capture differentially accumulated metabolites (DAM) and to validate them via mining differentially expressed genes (DEGs), respectively. The effects of NAA treatment: increased NT mass per plant by 21.14%, through increasing the number of roots and increasing the mean root diameter; increased catalpol content by 1.2234% (p < 0.05); up-regulated 11DAMs and 596DEGs; and down-regulated 18 DAMs and 517DEGs. In particular, we discovered that NAA regulated its DAMs and biomass via 10 common metabolic pathways, and that the number of NAA-down-regulated DAMs was more than that of NAA-up-regulated DAMs in its tuberous root. Furthermore, HPLC validated the changes of several DAMs and 15 DEGs (4CL, ARF, CCoAOMT, ARGOS, etc.) associated with the yield increase and DAMs were verified by RT-qPCR. This study provided some valuable resources, such as tuberous root indices, key genes, and DAMs of Rehmannia glutinosa in response to NAA for distinguishing the CGs from NTs, and novel insights into the regulatory mechanism of NAA effects on both at the transcriptomic and metabolomic levels, so it will lay a theoretical foundation for NAA-regulated plant yield and quality, and provide references for prohibiting the uses of NAA as a swelling agent in medicinal tuber plants in China.
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7
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Li WJ, Zhang L, Wu HX, Li M, Wang T, Zhang WB, Du ZY, Zhang ML. Intestinal Microbiota Mediates Gossypol-Induced Intestinal Inflammation, Oxidative Stress, and Apoptosis in Fish. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:6688-6697. [PMID: 35635005 DOI: 10.1021/acs.jafc.2c01263] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Gossypol, the main antinutritional factor in cottonseed protein concentrate (CPC), could affect the growth conditions of fish, but the underlying mechanism remains unclear. In this study, an 8-week feeding trial was carried out to investigate the effects of gossypol on Nile tilapia (Oreochromis niloticus). Three experimental diets were designed, including control diet (CON), control diet supplemented with 150 mg/kg gossypol (ML), and 300 mg/kg gossypol (MH). 16S rRNA gene sequencing showed that gossypol significantly reduced the richness and diversity of the gut microbiota. Untargeted metabolite analysis revealed that most metabolites were down-regulated by gossypol, and riboflavin was the key metabolite with significant difference between CON-treated and gossypol-treated groups. Gossypol caused intestinal inflammation, oxidative stress, and apoptosis. Through fecal bacteria transplantation experiments, we demonstrated that intestinal microbiota mediated gossypol-induced negative effects, suggesting that intestinal microbiota and its metabolite may account for the harmful effects of gossypol.
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Affiliation(s)
- Wei-Jie Li
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Le Zhang
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Hong-Xia Wu
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Miao Li
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Tong Wang
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Wen-Bing Zhang
- The Key Laboratory of Mariculture, Ministry of Education, The Key Laboratory of Aquaculture Nutrition and Feeds, Ministry of Agriculture, Ocean University of China, Qingdao 266003, China
| | - Zhen-Yu Du
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Mei-Ling Zhang
- School of Life Sciences, East China Normal University, Shanghai 200241, China
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8
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Chen R, Hu T, Wang M, Hu Y, Chen S, Wei Q, Yin X, Xie T. Functional characterization of key polyketide synthases by integrated metabolome and transcriptome analysis on curcuminoid biosynthesis in Curcuma wenyujin. Synth Syst Biotechnol 2022; 7:849-861. [PMID: 35572764 PMCID: PMC9079249 DOI: 10.1016/j.synbio.2022.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 04/06/2022] [Accepted: 04/17/2022] [Indexed: 11/23/2022] Open
Abstract
Leaf and tuber extracts of Curcuma wenyujin contain a mixture of curcuminoids. However, the curcuminoid constituents and their molecular mechanisms are poorly understood, and the relevant curcumin synthases remain unclear. In this study, we comprehensively compared the metabolite profiles of the leaf and tuber tissues of C. wenyujin. A total of 11 curcuminoid metabolites were identified and exhibited differentially changed contents in the leaf and tuber tissues. An integrated analysis of metabolomic and transcriptomic data revealed the proposed biosynthesis pathway of curcuminoid. Two candidate type Ⅲ polyketide synthases (PKSs) were identified in the metabolically engineering yeasts, indicating that CwPKS1 and CwPKS2 maintained substrate and product specificities. Especially, CwPKS1 is the first type Ⅲ PKS identified to synthesize hydrogenated derivatives of curcuminoid, dihydrocurcumin and tetrehydrocurcumin. Interestingly, the substitution of the glycine at position 219 with aspartic acid (G219D mutant) resulted in the complete inactivation of CwPKS1. Our results provide the first comparative metabolome analysis of C. wenyujin and functionally identified type Ⅲ PKSs, giving valuable information for curcuminoids biosynthesis.
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Affiliation(s)
- Rong Chen
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, Engineering Laboratory of Development and Application of Traditional Chinese Medicine from Zhejiang Province, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
- School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Tianyuan Hu
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, Engineering Laboratory of Development and Application of Traditional Chinese Medicine from Zhejiang Province, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Ming Wang
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, Engineering Laboratory of Development and Application of Traditional Chinese Medicine from Zhejiang Province, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Yuhan Hu
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, Engineering Laboratory of Development and Application of Traditional Chinese Medicine from Zhejiang Province, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Shu Chen
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, Engineering Laboratory of Development and Application of Traditional Chinese Medicine from Zhejiang Province, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Qiuhui Wei
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, Engineering Laboratory of Development and Application of Traditional Chinese Medicine from Zhejiang Province, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Xiaopu Yin
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, Engineering Laboratory of Development and Application of Traditional Chinese Medicine from Zhejiang Province, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
- Corresponding author. School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
| | - Tian Xie
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, Engineering Laboratory of Development and Application of Traditional Chinese Medicine from Zhejiang Province, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
- Corresponding author.
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9
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The effects of different drying methods on the structural characteristics and bioactivities in vitro of polysaccharides from coconut (Cocos nucifera L.) water. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2022. [DOI: 10.1007/s11694-022-01346-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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10
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Xie H, Chen F, Yin H, Peng G, You C, Qin P, Jiang S, Guo X. Characterization and comparison of lipids in Camellia oleifera kernels of XL210 and XL1 based on LC-MS/MS. REPRODUCTION AND BREEDING 2021. [DOI: 10.1016/j.repbre.2021.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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11
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Wu J, Chen H, Chen W, Zhong Q, Zhang M, Chen W. Effect of ultrasonic treatment on the activity of sugar metabolism relative enzymes and quality of coconut water. ULTRASONICS SONOCHEMISTRY 2021; 79:105780. [PMID: 34628309 PMCID: PMC8501503 DOI: 10.1016/j.ultsonch.2021.105780] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/14/2021] [Accepted: 10/01/2021] [Indexed: 06/13/2023]
Abstract
In this study, tender coconuts were treated with high-intensity ultrasound (US) for 20 min at a frequency of 20 kHz and a power of 2400 W. Compared with control group, US treated coconut water had a higher content of total soluble solid and sugar/acid ratio along with a lower pH value and conductivity, and the contents of sucrose, fructose and glucose were also higher. Results from HS-SPME/GC-MS showed that there was no significant difference in the content of volatile compounds in coconut water before and after US treatment. The activities of sugar metabolism enzymes such as sucrose phosphate synthase, sucrose synthase, acid invertase (AI) and neutral invertase were inhibited by US, of which AI had the strongest inactivation. Circular dichroism and fluorescence spectra showed that the secondary and tertiary structure of AI molecule were destroyed with the increase of US intensity and time, which was confirmed by the change of particle size distribution pattern and scanning electron microscopy. Molecular docking and molecular dynamics showed that US treatment prevented the recognition and binding of sucrose and AI molecules, thereby inhibiting the decomposition of sucrose. In conclusion, our results indicate that US can inhibit the activity of AI and maintain the sugar content to increase the quality as well as extend the shelflife of coconut water, which will bring more commercial value.
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Affiliation(s)
- Jilin Wu
- College of Food Science and Engineering, Hainan University, 58 Renmin Road, Haikou, Hainan 570228, PR China
| | - Haiming Chen
- College of Food Science and Engineering, Hainan University, 58 Renmin Road, Haikou, Hainan 570228, PR China; Maritime Academy, Hainan Vocational University of Science and Technology, 18 Qingshan Road, Haikou, Hainan 571126, PR China
| | - Wenxue Chen
- College of Food Science and Engineering, Hainan University, 58 Renmin Road, Haikou, Hainan 570228, PR China
| | - Qiuping Zhong
- College of Food Science and Engineering, Hainan University, 58 Renmin Road, Haikou, Hainan 570228, PR China
| | - Ming Zhang
- College of Food Science and Engineering, Hainan University, 58 Renmin Road, Haikou, Hainan 570228, PR China.
| | - Weijun Chen
- College of Food Science and Engineering, Hainan University, 58 Renmin Road, Haikou, Hainan 570228, PR China.
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12
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Wang X, Wang A, Li Y, Xu Y, Wei Q, Wang J, Lin F, Gong D, Liu F, Wang Y, Peng L, Li J. A Novel Banana Mutant " RF 1" ( Musa spp. ABB, Pisang Awak Subgroup) for Improved Agronomic Traits and Enhanced Cold Tolerance and Disease Resistance. FRONTIERS IN PLANT SCIENCE 2021; 12:730718. [PMID: 34630479 PMCID: PMC8496975 DOI: 10.3389/fpls.2021.730718] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 08/25/2021] [Indexed: 06/13/2023]
Abstract
Banana is a major fruit crop grown in tropical and subtropical regions worldwide. Among cultivars, "FenJiao, FJ" (Musa spp. ABB, Pisang Awak subgroup) is a popular variety of bananas, due to its better sugar-acid blend and relatively small fruit shape. However, because the traditional FJ variety grows relatively high in height, it is vulnerable to lodging and unsuitable for harvesting. In this study, we sought desirable banana mutants by carrying out ethyl methanesulfonate (EMS) mutagenesis with the FJ cultivar. After the FJ shoot tips had been treated with 0.8% (v/v) EMS for 4 h, we obtained a stably inherited mutant, here called "ReFen 1" (RF1), and also observed a semi-dwarfing phenotype. Compared with the wild type (FJ), this RF1 mutant featured consistently improved agronomic traits during 5-year field experiments conducted in three distinct locations in China. Notably, the RF1 plants showed significantly enhanced cold tolerance and Sigatoka disease resistance, mainly due to a substantially increased soluble content of sugar and greater starch accumulation along with reduced cellulose deposition. Therefore, this study not only demonstrated how a powerful genetic strategy can be used in fruit crop breeding but also provided insight into the identification of novel genes for agronomic trait improvement in bananas and beyond.
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Affiliation(s)
- Xiaoyi Wang
- Hainan Banana Healthy Seedling Propagation Engineering Research Center, Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Anbang Wang
- Hainan Banana Healthy Seedling Propagation Engineering Research Center, Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Yujia Li
- Hainan Banana Healthy Seedling Propagation Engineering Research Center, Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Yi Xu
- Hainan Banana Healthy Seedling Propagation Engineering Research Center, Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Qing Wei
- Hainan Banana Healthy Seedling Propagation Engineering Research Center, Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Jiashui Wang
- Hainan Banana Healthy Seedling Propagation Engineering Research Center, Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Fei Lin
- Hainan Banana Healthy Seedling Propagation Engineering Research Center, Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Deyong Gong
- The Fruit Tree Research Center, Institute of Subtropical Crops, Guizhou Academy of Agricultural Sciences, Xinyi, China
| | - Fei Liu
- Biomass and Bioenergy Research Centre, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yanting Wang
- Biomass and Bioenergy Research Centre, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Liangcai Peng
- Biomass and Bioenergy Research Centre, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jingyang Li
- Hainan Banana Healthy Seedling Propagation Engineering Research Center, Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Biomass and Bioenergy Research Centre, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
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13
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Kumar M, Saini SS, Agrawal PK, Roy P, Sircar D. Nutritional and metabolomics characterization of the coconut water at different nut developmental stages. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2020.103738] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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14
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Zhang H, Chen H, Wang W, Jiao W, Chen W, Zhong Q, Yun YH, Chen W. Characterization of Volatile Profiles and Marker Substances by HS-SPME/GC-MS during the Concentration of Coconut Jam. Foods 2020; 9:E347. [PMID: 32192035 PMCID: PMC7142570 DOI: 10.3390/foods9030347] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 03/10/2020] [Accepted: 03/11/2020] [Indexed: 12/01/2022] Open
Abstract
Characteristic aromas are usually key labels for food products. In this study, the volatile profiles and marker substances of coconut jam during concentration were characterized via sensory evaluation combined with headspace solid phase microextraction-gas chromatography-tandem mass spectrometry (HSPME/GC-MS). A total of 33 aroma compounds were detected by HSPME/GC-MS. Principal component analysis revealed the concentration process of coconut jam can be divided into three stages. In the first stage, esters and alcohols were the two main contributors to the aroma of the coconut jam. Next, a caramel smell was gradually formed during the second stage, which was mainly derived from aldehydes, ketones and alcohols. The concentration of aldehydes increased gradually at this stage, which may be the result of a combination of the Maillard reaction and the caramelization reaction. In the final sterilization stage, the 'odor intensity' of caramel reached the maximum level and a variety of aroma compounds were produced, thereby forming a unique flavor for the coconut jam. Finally, furfural fit a logistic model with a regression coefficient (r2) of 0.97034. Therefore, furfural can be used as a marker substance for monitoring the concentration of coconut jam.
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Affiliation(s)
- Hao Zhang
- College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China; (H.Z.); (H.C.); (W.W.); (W.J.); (W.C.); (Q.Z.); (Y.-H.Y.)
| | - Haiming Chen
- College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China; (H.Z.); (H.C.); (W.W.); (W.J.); (W.C.); (Q.Z.); (Y.-H.Y.)
- Chunguang Agro-Product Processing Institute, Wenchang 571333, China
| | - Wenzhu Wang
- College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China; (H.Z.); (H.C.); (W.W.); (W.J.); (W.C.); (Q.Z.); (Y.-H.Y.)
| | - Wenxiao Jiao
- College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China; (H.Z.); (H.C.); (W.W.); (W.J.); (W.C.); (Q.Z.); (Y.-H.Y.)
| | - Wenxue Chen
- College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China; (H.Z.); (H.C.); (W.W.); (W.J.); (W.C.); (Q.Z.); (Y.-H.Y.)
| | - Qiuping Zhong
- College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China; (H.Z.); (H.C.); (W.W.); (W.J.); (W.C.); (Q.Z.); (Y.-H.Y.)
| | - Yong-Huan Yun
- College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China; (H.Z.); (H.C.); (W.W.); (W.J.); (W.C.); (Q.Z.); (Y.-H.Y.)
- Chunguang Agro-Product Processing Institute, Wenchang 571333, China
| | - Weijun Chen
- College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China; (H.Z.); (H.C.); (W.W.); (W.J.); (W.C.); (Q.Z.); (Y.-H.Y.)
- Chunguang Agro-Product Processing Institute, Wenchang 571333, China
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