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Cui K, Wang J, Guan S, Liang J, Fang L, Ding R, Li T, Dong Z, Ma G, Wu X, Zheng Y. Residue changes, degradation, processing factors and their relation between physicochemical properties of pesticides in peanuts during multiproduct processing. Food Chem 2024; 452:139535. [PMID: 38728890 DOI: 10.1016/j.foodchem.2024.139535] [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: 12/19/2023] [Revised: 04/18/2024] [Accepted: 04/30/2024] [Indexed: 05/12/2024]
Abstract
This study systematically investigates the residue changes, processing factors (PFs), and relation between the physicochemical properties of pesticides during peanut processing. Results revealed that peeling, washing, and boiling treatments removed partial or substantial pesticide residues from peanuts with PFs of 0.29-1.10 (most <1). By contrast, pesticides appeared to be partially concentrated during roasting, stir-frying, and deep-frying peanuts with PFs of 0.16-1.25. During oil pressing, 13 of the 28 pesticides were concentrated in the peanut oil (PF range: 1.06-2.01) and 25 of the pesticides were concentrated in the peanut meal (1.07-1.46). Physicochemical parameters such as octanol-water partition coefficient, degradation point, molecular weight, and melting point showed significant correlations with PFs during processing. Notably, log Kow exhibited strong positive correlations with the PFs of boiling, roasting, and oil pressing. Overall, this study describes the fate of pesticides during multiproduct processing, providing guidance to promote the healthy consumption of peanuts for human health.
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Affiliation(s)
- Kai Cui
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Jinan, Shandong 250100, People's Republic of China
| | - Jian Wang
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Jinan, Shandong 250100, People's Republic of China
| | - Shuai Guan
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Jinan, Shandong 250100, People's Republic of China
| | - Jingyun Liang
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Jinan, Shandong 250100, People's Republic of China
| | - Liping Fang
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Jinan, Shandong 250100, People's Republic of China
| | - Ruiyan Ding
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Jinan, Shandong 250100, People's Republic of China
| | - Teng Li
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Jinan, Shandong 250100, People's Republic of China
| | - Zhan Dong
- Institute of Quality Standard and Testing Technology for Agro-Products, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Test Technology on Food Quality and Safety, Jinan, Shandong 250100, People's Republic of China.
| | - Guoping Ma
- Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan 250100, People's Republic of China.
| | - Xiaohu Wu
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Yongquan Zheng
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
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Guo Z, Cai L, Liu C, Zhang Y, Wang L, Liu H, Feng Y, Pan G, Ma W. Comparative Metabolome Profiling for Revealing the Effects of Different Cooking Methods on Glutinous Rice Longjing57 ( Oryza sativa L. var. Glutinosa). Foods 2024; 13:1617. [PMID: 38890846 PMCID: PMC11171517 DOI: 10.3390/foods13111617] [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: 04/08/2024] [Revised: 05/17/2024] [Accepted: 05/18/2024] [Indexed: 06/20/2024] Open
Abstract
Glutinous rice (GR), an important food crop in Asia, provides prolonged energy for the human body due to its high amylopectin content. The non-volatile metabolites generated by different cooking methods that affect the nutritional value and color of GR are still poorly understood. Herein, a widely targeted metabolomics approach was used to understand the effects of different cooking methods (steaming, baking, and frying) on the metabolite profiles of GR. Compared with other treatments, steamed GR had a brighter color and significantly lower contents of total sugar, starch, amylopectin, and amylose, at 40.74%, 14.13%, 9.78%, and 15.18%, respectively. Additionally, 70, 108, and 115 metabolites were significantly altered in the steaming, baking, and frying groups respectively, and amino acid and carbohydrate metabolism were identified as the representative metabolic pathways based on KEGG annotations. Further evaluation of 14 amino acids and 12 carbohydrates in steamed GR, especially 4-aminobutyric acid, suggested its high nutraceutical value. Additionally, multivariate analysis indicated that total sugar content, amylose content, beta-alanine methyl ester hydrochloride, and 4-aminobutyric acid played a critical role in color formation in raw and cooked GR. Finally, the levels of major amino acids and carbohydrates were quantified by conventional methods to verify the reliability of the metabolome. Consequently, this in-depth understanding of metabolite profiling in normal cooking methods has provided a foundation for the processing of GR products.
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Affiliation(s)
- Zhenhua Guo
- Rice Research Institute of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China
- National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Lijun Cai
- Jiamusi Branch of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China
| | - Chuanxue Liu
- Rice Research Institute of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China
| | - Yunjiang Zhang
- Rice Research Institute of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China
| | - Linan Wang
- Rice Research Institute of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China
| | - Hao Liu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Yanjiang Feng
- Rice Research Institute of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China
| | - Guojun Pan
- Rice Research Institute of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China
| | - Wendong Ma
- Rice Research Institute of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China
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Yang X, Zhang W, Lan Y, Zhang J, Zheng W, Wu J, Zhang C, Dang B. An investigation into the effects of various processing methods on the characteristic compounds of highland barley using a widely targeted metabolomics approach. Food Res Int 2024; 180:114061. [PMID: 38395553 DOI: 10.1016/j.foodres.2024.114061] [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: 11/06/2023] [Revised: 01/12/2024] [Accepted: 01/24/2024] [Indexed: 02/25/2024]
Abstract
This study explored the influence of diverse processing methods (cooking (CO), extrusion puffing (EX), and steam explosion puffing (SE), stir-frying (SF) and fermentation (FE)) on highland barley (Qingke) chemical composition using UHPLC-MS/MS based widely targeted metabolomics. Overall, 827 metabolites were identified and categorized into 16 classes, encompassing secondary metabolites, amino acids, nucleotides, lipids, etc. There 43, 85, 131, 51 and 98 differential metabolites were respectively selected from five comparative groups (raw materials (RM) vs CO/EX/SE/SF/FE), mainly involved in amino acids, nucleotides, flavonoids, and alkaloids. Compared to other treated groups, FE group possessed the higher content of crude protein (15.12 g/100 g DW), and the relative levels of free amino acids (1.32 %), key polyphenols and arachidonic acid (0.01 %). EX group had the higher content of anthocyanins (4.22 mg/100 g DW), and the relative levels of free amino acids (2.02 %) and key polyphenols. SE group showed the higher relative levels of phenolic acids (0.14 %), flavonoids (0.20 %) and alkaloids (1.17 %), but the lowest free amino acids (0.75 %). Different processing methods all decreased Qingke's antioxidant capacity, with the iron reduction capacity (988.93 μmol/100 g DW) in SE group was the lowest. On the whole, FE and EX were alleged in improving Qingke's nutritional value. CO and SF were also suitable for Qingke processing since fewer differential metabolites were identified in CO vs RM and SF vs RM groups. Differential metabolites were connected to 14 metabolic pathways, with alanine, aspartate, and glutamate metabolism being central. This study contributed theoretical groundwork for the scientific processing and quality control of Qingke products.
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Affiliation(s)
- Xijuan Yang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China; Key Laboratory of Qinghai Province Tibetan Plateau Agric-Product Processing, Qinghai University, Xining 810016, China; Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining 810016, China
| | - Wengang Zhang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China; Key Laboratory of Qinghai Province Tibetan Plateau Agric-Product Processing, Qinghai University, Xining 810016, China; Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining 810016, China
| | - Yongli Lan
- College of Food Science and Engineering, Northwest A & F University, Yangling 712100, China
| | - Jie Zhang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China; Key Laboratory of Qinghai Province Tibetan Plateau Agric-Product Processing, Qinghai University, Xining 810016, China; Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining 810016, China
| | - Wancai Zheng
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China; Key Laboratory of Qinghai Province Tibetan Plateau Agric-Product Processing, Qinghai University, Xining 810016, China; Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining 810016, China
| | - Jing Wu
- Qinghai Tianyoude Technology Investment Management Group Co., Ltd., Xining 810016, China
| | - Chengping Zhang
- Qinghai Tianyoude Technology Investment Management Group Co., Ltd., Xining 810016, China
| | - Bin Dang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China; Key Laboratory of Qinghai Province Tibetan Plateau Agric-Product Processing, Qinghai University, Xining 810016, China; Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai University, Xining 810016, China.
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Xiao Y, Xie L, Li Y, Li C, Yu Y, Hu J, Li G. Impact of low temperature on the chemical profile of sweet corn kernels during post-harvest storage. Food Chem 2024; 431:137079. [PMID: 37573745 DOI: 10.1016/j.foodchem.2023.137079] [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: 05/26/2023] [Revised: 07/18/2023] [Accepted: 07/31/2023] [Indexed: 08/15/2023]
Abstract
Fresh sweet corn has a limited shelf-life due to its high moisture and high sugar content. Low temperature storage is an effective technique employed to extend the shelf-life. However, changes in the chemical composition of sweet corn kernels at low temperatures are not fully understood. In this study, kernels stored at low temperature exhibited higher levels of soluble sugars and lower starch content. In total, 1365 metabolites were characterized in sweet corn kernels. 593 and 308 differentially accumulated metabolites (DAMs) were identified in sweet corn kernels stored at normal and low temperature, respectively. 607 DAMs were identified at low temperature compare to normal temperature. DAMs were consistently enriched in flavonoid biosynthesis, linoleic acid metabolism and sphingolipid metabolism. Moreover, dozens of metabolites were identified as potential biomarkers for post-harvest storage effects in sweet corn. These results extend our knowledge of the dynamic changes in sweet corn kernels stored at low temperatures.
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Affiliation(s)
- Yingni Xiao
- Crops Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Crop Genetic Improvement, Guangzhou, Guangdong 510640, China
| | - Lihua Xie
- Crops Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Crop Genetic Improvement, Guangzhou, Guangdong 510640, China
| | - Yuliang Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Crop Genetic Improvement, Guangzhou, Guangdong 510640, China
| | - Chunyan Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Crop Genetic Improvement, Guangzhou, Guangdong 510640, China
| | - Yongtao Yu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Crop Genetic Improvement, Guangzhou, Guangdong 510640, China
| | - Jianguang Hu
- Crops Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Crop Genetic Improvement, Guangzhou, Guangdong 510640, China.
| | - Gaoke Li
- Crops Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Provincial Key Laboratory of Crop Genetic Improvement, Guangzhou, Guangdong 510640, China.
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Du P, Deng Q, Wang W, Garg V, Lu Q, Huang L, Wang R, Li H, Huai D, Chen X, Varshney RK, Hong Y, Liu H. scRNA-seq Reveals the Mechanism of Fatty Acid Desaturase 2 Mutation to Repress Leaf Growth in Peanut ( Arachis hypogaea L.). Cells 2023; 12:2305. [PMID: 37759528 PMCID: PMC10527976 DOI: 10.3390/cells12182305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Fatty Acid Desaturase 2 (FAD2) controls the conversion of oleic acids into linoleic acids. Mutations in FAD2 not only increase the high-oleic content, but also repress the leaf growth. However, the mechanism by which FAD2 regulates the growth pathway has not been elucidated in peanut leaves with single-cell resolution. In this study, we isolated fad2 mutant leaf protoplast cells to perform single-cell RNA sequencing. Approximately 24,988 individual cells with 10,249 expressed genes were classified into five major cell types. A comparative analysis of 3495 differentially expressed genes (DEGs) in distinct cell types demonstrated that fad2 inhibited the expression of the cytokinin synthesis gene LOG in vascular cells, thereby repressing leaf growth. Further, pseudo-time trajectory analysis indicated that fad2 repressed leaf cell differentiation, and cell-cycle evidence displayed that fad2 perturbed the normal cell cycle to induce the majority of cells to drop into the S phase. Additionally, important transcription factors were filtered from the DEG profiles that connected the network involved in high-oleic acid accumulation (WRKY6), activated the hormone pathway (WRKY23, ERF109), and potentially regulated leaf growth (ERF6, MYB102, WRKY30). Collectively, our study describes different gene atlases in high-oleic and normal peanut seedling leaves, providing novel biological insights to elucidate the molecular mechanism of the high-oleic peanut-associated agronomic trait at the single-cell level.
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Affiliation(s)
- Puxuan Du
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
| | - Quanqing Deng
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
| | - Wenyi Wang
- College of Agriculture, South China Agriculture University, Guangzhou 510642, China;
| | - Vanika Garg
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University (MU), Murdoch, WA 6150, Australia; (V.G.); (R.K.V.)
| | - Qing Lu
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
| | - Lu Huang
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
| | - Runfeng Wang
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
| | - Haifen Li
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
| | - Dongxin Huai
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China;
| | - Xiaoping Chen
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
| | - Rajeev K. Varshney
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University (MU), Murdoch, WA 6150, Australia; (V.G.); (R.K.V.)
| | - Yanbin Hong
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
| | - Hao Liu
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences (GDAAS), Guangzhou 510640, China; (P.D.); (Q.D.); (Q.L.); (L.H.); (R.W.); (H.L.); (X.C.)
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Li P, Zhu F, Weiping W, Zhou Y, Yao Y, Hong L, Zhu W, Hong C, Liu X, Chen H, Yu Y. Physicochemical properties and risk assessment of perishable waste primary products. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 337:117549. [PMID: 36934502 DOI: 10.1016/j.jenvman.2023.117549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/29/2023] [Accepted: 02/18/2023] [Indexed: 06/18/2023]
Abstract
Fertilization has become one of the most important ways to recycle perishable waste. In order to reveal the effect of the nutrient of the perishable waste primary products on the market and the possible impact of their application, 136 perishable waste primary products were sampled in nine cities in Zhejiang province, China. The result shows that these products have high nutrient content (average nutrient content was 5.00%). However, the conductivity (7.19 mS/cm) total soluble salt content (12.07%), and grease content (5.99%) were too high. The excessive salt and grease may cause harm to soil and crops, and become the main limiting factors for the fertilizer utilization of perishable waste. Heavy metal content of most of the samples met current commercial organic fertilizer standards, except that lead and chromium content of some samples exceeded the limit standard. Toluene, ethylbenzene, m & p-xylene were generally detected in the samples. These toxic and harmful substances have brought risks to the safe use of perishable waste into fertilizers.
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Affiliation(s)
- Penghao Li
- Zhejiang University of Technology, Hangzhou 310014 China; Institute of Environment, Resource, Soil & Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021 China
| | - Fengxiang Zhu
- Institute of Environment, Resource, Soil & Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021 China
| | - Wang Weiping
- Institute of Environment, Resource, Soil & Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021 China
| | - Ying Zhou
- Zhejiang University of Technology, Hangzhou 310014 China
| | - Yanlai Yao
- Institute of Environment, Resource, Soil & Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021 China
| | - Leidong Hong
- Institute of Environment, Resource, Soil & Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021 China
| | - Weijing Zhu
- Institute of Environment, Resource, Soil & Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021 China
| | - Chunlai Hong
- Institute of Environment, Resource, Soil & Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021 China.
| | - Xiaoxia Liu
- Zhejiang Cultivated Land Quality and Fertilizer Administration Station, Hangzhou 310019, China
| | - Hongjin Chen
- Zhejiang Cultivated Land Quality and Fertilizer Administration Station, Hangzhou 310019, China
| | - Yijun Yu
- Zhejiang Cultivated Land Quality and Fertilizer Administration Station, Hangzhou 310019, China
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Liu L, Zhao Y, Lu S, Liu Y, Xu X, Zeng M. Metabolomics investigation on the volatile and non-volatile composition in enzymatic hydrolysates of Pacific oyster ( Crassostrea gigas). Food Chem X 2023; 17:100569. [PMID: 36845524 PMCID: PMC9945435 DOI: 10.1016/j.fochx.2023.100569] [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: 10/01/2022] [Revised: 12/15/2022] [Accepted: 01/06/2023] [Indexed: 01/11/2023] Open
Abstract
To investigate the differences of volatile and non-volatile metabolites between oyster enzymatic hydrolysates and boiling concentrates, molecular sensory analysis and untargeted metabolomics were employed. "Grassy," "fruity," "oily/fatty," "fishy," and "metallic" were identified as sensory attributes used to evaluate different processed oyster homogenates. Sixty-nine and 42 volatiles were identified by gas chromatography-ion mobility spectrometry and gas chromatography-mass spectrometry, respectively. Pentanal, 1-penten-3-ol, hexanal, (E)-2-pentenal, heptanal, (E)-2-hexenal, 4-octanone, (E)-4-heptenal, 3-octanone, octanal, nonanal, 1-octen-3-ol, benzaldehyde, (E)-2-nonenal, and (E, Z)-2,6-nonadienal were detected as the key odorants (OAV > 1) after enzymatic hydrolysis. Hexanal, (E)-4-heptenal, and (E)-2-pentenal were significantly associated with off-odor, and 177 differential metabolites were classified. Aspartate, glutamine, alanine, and arginine were the key precursors affecting the flavor profile. Linking sensory descriptors to volatile and nonvolatile components of different processed oyster homogenates will provide information for the process and quality improvement of oyster products.
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Affiliation(s)
| | | | | | | | - Xinxing Xu
- Corresponding authors at: No.5 Yushan Road, Shinan District, Beijing 100083, China.
| | - Mingyong Zeng
- Corresponding authors at: No.5 Yushan Road, Shinan District, Beijing 100083, China.
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Yao H, Yuan J, Chen R, Kang X, Duan Y, Lei C. Differential analysis and bioactivity identification of Neurospora crassa metabolites based on okara by widely-targeted metabolomics. Lebensm Wiss Technol 2023. [DOI: 10.1016/j.lwt.2023.114441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Lateral flow immunoassay for small-molecules detection in phytoproducts: a review. J Nat Med 2022; 76:521-545. [PMID: 35171397 PMCID: PMC9165253 DOI: 10.1007/s11418-022-01605-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/29/2022] [Indexed: 11/10/2022]
Abstract
Phytoproducts are involved in various fields of industry. Small-molecule (Mw < 900 Da) organic compounds can be used to indicate the quality of plant samples in the perspective of efficacy by measuring the necessary secondary metabolites and in the perspective of safety by measuring the adulterant level of toxic compounds. The development of reliable detection methods for these compounds in such a complicated matrix is challenging. The lateral flow immunoassay (LFA) is one of the immunoassays well-known for its simplicity, portability, and rapidity. In this review, the general principle, components, format, and application of the LFA for phytoproducts are discussed.
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