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Yan XQ, Wu HL, Wang B, Wang T, Chen Y, Chen AQ, Huang K, Chang YY, Yang J, Yu RQ. Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 295:122617. [PMID: 36963220 DOI: 10.1016/j.saa.2023.122617] [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: 01/21/2023] [Revised: 03/01/2023] [Accepted: 03/08/2023] [Indexed: 06/18/2023]
Abstract
Ningxia wolfberry stored for many years may be disguised as fresh wolfberry by unscrupulous traders and sold for huge profits. In this work, the front-face excitation-emission matrix (FF-EEM) fluorescence spectroscopy coupled with interpretable deep learning was proposed to identify the storage year of Ningxia wolfberry in a lossless, fast and accurate way. Alternating trilinear decomposition (ATLD) algorithm was used to decompose the three-way data array obtained by Ningxia wolfberry samples, extracting the chemically meaningful information. Meanwhile, a convolutional neural network (CNN) model for the identification of the storage year of Ningxia wolfberry, called EEMnet, was proposed. The model successfully classified wolfberry samples from different storage years by extracting the subtle feature differences of the spectra, and the correct classification rate of the training set, test set and prediction set was more than 98%. In addition, a series of interpretability analyses were implemented to break the "black box" of the deep learning model. These results indicated that the method based on FF-EEM fluorescence spectroscopy combined with EEMnet could quickly and accurately identify the year of Ningxia wolfberry in a green way, providing a new idea for the identification of the storage years of Chinese medicinal materials.
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Affiliation(s)
- Xiao-Qin Yan
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China
| | - Hai-Long Wu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China.
| | - Bin Wang
- Hunan Key Lab of Biomedical Materials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412008, PR China
| | - Tong Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China.
| | - Yao Chen
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China; Hunan Key Lab of Biomedical Materials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412008, PR China
| | - An-Qi Chen
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China
| | - Kun Huang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China
| | - Yue-Yue Chang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China
| | - Jian Yang
- National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, State Key Laboratory Breeding Base of Dao-di Herbs, Beijng 100700, PR China
| | - Ru-Qin Yu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China
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2
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Liu X, Chen Z, Wang X, Luo W, Yang F. Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics. Molecules 2023; 28:5127. [PMID: 37446787 DOI: 10.3390/molecules28135127] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 06/27/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
In China, Codonopsis Radix (CR) is frequently consumed both as food and medicine. Here, a comprehensive strategy based on fingerprinting and chemometric approaches was created to explore the influence of origins, storage time and kneading processing on the quality of CR. Firstly, high-performance liquid chromatography with diode array detection was used to obtain the fingerprints of 35 batches of CR from six different origins and 33 batches of CR from varying storage times or kneading procedures. Secondly, chemometric methods including similarity analysis (SA), principal component analysis (PCA), hierarchical clustering analysis (HCA), and two-way orthogonal partial least square with discriminant analysis (O2PLS-DA) were used to evaluate the differences of chemical components in CR so as to identify its source and reflect its quality. Moreover, 13 and 16 major compounds were identified as marker compounds for the discrimination of CR from different origins, storage time and kneading processing, respectively. Furthermore, the relative content of the marker components and the exact content of Lobetyolin were measured, indicating that the contents of these components vary significantly between various CR samples. Meanwhile, the chemical components of CR were identified using Mass spectrometry. According to the findings of our investigation, the quality of CR from Gansu was the best, followed by Shanxi and then Sichuan. The quality of CR from Chongqing and Guizhou was poor. At the same time, the quality of CR was the best when it was kneaded and stored for 0 years, indicating that the traditional kneading process of CR is of great significance. Conclusively, HPLC fingerprint in conjunction with chemical pattern recognition and component content determination can be employed to differentiate the raw materials of different CR samples. Additionally, it is also a reliable, comprehensive and prospective method for quality control and evaluation of CR.
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Affiliation(s)
- Xuxia Liu
- School of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730013, China
| | - Zhengjun Chen
- School of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730013, China
| | - Xin Wang
- School of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730013, China
| | - Wenrong Luo
- Gansu Provincial Hospital of Chinese Medicine, Lanzhou 730050, China
| | - Fude Yang
- School of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730013, China
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3
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Krstić ĐD, Ristivojević PM, Gašić UM, Lazović M, Fotirić Akšić MM, Milivojević J, Morlock GE, Milojković-Opsenica DM, Trifković JĐ. Authenticity assessment of cultivated berries via phenolic profiles of seeds. Food Chem 2023; 402:134184. [DOI: 10.1016/j.foodchem.2022.134184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 08/28/2022] [Accepted: 09/06/2022] [Indexed: 10/14/2022]
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4
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Krstić Đ, Milinčić DD, Kostić AŽ, Fotirić Akšić M, Stanojević SP, Milojković-Opsenica D, Pešić MB, Trifković J. Comprehensive electrophoretic profiling of proteins as a powerful tool for authenticity assessment of seeds of cultivated berry fruits. Food Chem 2022; 383:132583. [PMID: 35245833 DOI: 10.1016/j.foodchem.2022.132583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 02/02/2022] [Accepted: 02/25/2022] [Indexed: 11/24/2022]
Abstract
Product authentication is one of the most important food quality assurances. Considering the importance of consumption of berry fruits with proven health-beneficial properties, high sensory values and rich composition in bioactive substances, the aim of this study was to evaluate a straightforward and simple procedure for the protein fingerprinting of berry seeds. For this purpose, protein profiles of 45 samples of genuine berry fruit cultivars (strawberry, raspberry, blackberry, black currant, blueberry, gooseberry, chokeberry, cape gooseberry, and gojiberry) were analyzed by SDS-PAGE electrophoresis in combination with advanced chemometric tools. The most important parameters for discrimination among berry seeds were polypeptides at 12.8; 15.1; 25.0; 26.4; 30.0; 41.8; 44.4; 46.0; 48.5; 52.3 and 56.4 kDa. Biomarkers obtained from the protein profile of berry seeds proved to be a powerful tool in the authentication of their botanical origin, as well as for potential detection of berry-based products adulteration.
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Affiliation(s)
- Đurđa Krstić
- University of Belgrade - Faculty of Chemistry, P.O.Box 51, 11158 Belgrade, Serbia
| | - Danijel D Milinčić
- University of Belgrade, Faculty of Agriculture, Chair of Chemistry and Biochemistry, Nemanjina 6, 11080 Belgrade, Serbia
| | - Aleksandar Ž Kostić
- University of Belgrade, Faculty of Agriculture, Chair of Chemistry and Biochemistry, Nemanjina 6, 11080 Belgrade, Serbia
| | - Milica Fotirić Akšić
- University of Belgrade, Faculty of Agriculture, Chair of Fruit Science, Nemanjina 6, 11080 Belgrade, Serbia
| | - Slađana P Stanojević
- University of Belgrade, Faculty of Agriculture, Chair of Chemistry and Biochemistry, Nemanjina 6, 11080 Belgrade, Serbia
| | | | - Mirjana B Pešić
- University of Belgrade, Faculty of Agriculture, Chair of Chemistry and Biochemistry, Nemanjina 6, 11080 Belgrade, Serbia.
| | - Jelena Trifković
- University of Belgrade - Faculty of Chemistry, P.O.Box 51, 11158 Belgrade, Serbia
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5
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Jing Q, Huang X, Lu C, Di D. Identification of characteristic flavour compounds and quality analysis in extra virgin olive oil based on
HS‐GC‐IMS. Int J Food Sci Technol 2022. [DOI: 10.1111/ijfs.15913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Quan Jing
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory of Natural Medicine of Gansu Province Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS) Lanzhou 730000 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Xin‐Yi Huang
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory of Natural Medicine of Gansu Province Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS) Lanzhou 730000 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Cong‐Hui Lu
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory of Natural Medicine of Gansu Province Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS) Lanzhou 730000 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Duo‐Long Di
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory of Natural Medicine of Gansu Province Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS) Lanzhou 730000 China
- University of Chinese Academy of Sciences Beijing 100049 China
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6
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Gong H, Rehman F, Li Z, Liu J, Yang T, Liu J, Li H, Hu Z, Ma Q, Wu Z, A B, Yang M, Gao H, Zhi H, Qu H, Di D, Wang Y. Discrimination of Geographical Origins of Wolfberry ( Lycium barbarum L.) Fruits Using Stable Isotopes, Earth Elements, Free Amino Acids, and Saccharides. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:2984-2997. [PMID: 35179024 DOI: 10.1021/acs.jafc.1c06207] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
To develop sophisticated approaches for distinguishing goji origins, 325 wolfberry fruit samples of a certain cultivar, plant age, drying method, and collection season were gathered from 26 producing areas across Northwest China in 2017 and 2018. We employed 49 indices, including stable isotopes, earth elements, soluble amino acids, and saccharides, to identify the regions of origin of these goji fruits. Analysis of variance (ANOVA) and heritability analysis were used to assess the effects of the environment (producing areas), cultivar, plant age, drying process, and collection season. Samples from the same place can be classified and partially discriminated using principal component analysis (PCA). We were able to distinguish fruits produced in Zhongning County from those produced in the other five producing provinces using orthogonal projection to latent structure-discriminant analysis (OPLS-DA). Calcium (Ca), manganese (Mn), ornithine (Orn), cystine (Cys-Cys), glutamate (Glu), phenylalanine (Phe), phosphoserine (Ps), serine (Ser), lysine (Lys), taurine (Tau), proline (Pro), and tyrosine (Tyr) indices were chosen using S-plots and heritability analysis, and their repeatability was established with samples collected in 2018. The indices selected in this study can distinguish goji berries produced in Zhongning County from fruits originating from five other Provinces with high repeatability, which was validated with various cultivars, drying methods, harvest seasons, and plant ages and with heritability analysis.
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Affiliation(s)
- Haiguang Gong
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Fazal Rehman
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Zhong Li
- Bairuiyuan Company, Yinchuan 750000, P. R. China
| | - Jianfei Liu
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Lanzhou 730000, P. R. China
| | - Tianshun Yang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Juan Liu
- Zhongning County Goji Industry Development Service Bureau, Zhongwei 755100, Ningxia, P. R. China
| | - Haoran Li
- Zhongning County Goji Industry Development Service Bureau, Zhongwei 755100, Ningxia, P. R. China
| | - Zhongqing Hu
- Zhongning County Goji Industry Development Service Bureau, Zhongwei 755100, Ningxia, P. R. China
| | - Qihu Ma
- Beijing TongRenTang Health-Pharmaceutical (Ningxia) Co., Ltd., Yinchuan 750000, Ningxia, P. R. China
| | - Zhigeng Wu
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Biao A
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Meizhen Yang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Hao Gao
- Institute of Traditional Chinese Medicine and Natural Products, College of Pharmacy/Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, Jinan University, Guangzhou 510632, P. R. China
| | - Hui Zhi
- School of Chinese Materia Medica, Guangzhou University of Chinese Medicine, Guangzhou 510006, P. R. China
| | - Hongxia Qu
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
| | - Duolong Di
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Lanzhou 730000, P. R. China
- Center of Resource Chemical and New Material, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Qingdao 266100, P. R. China
| | - Ying Wang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Provincial Key Laboratory of Digital Botanical Garden and Public Science, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, P. R. China
- Gannan Normal University, Ganzhou, Jinagxi 341000, P. R. China
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7
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Liu Q, Wang Y, Zhang Z, Du Z, Li J, Wu Y. Evaluation of quality change in Salviae miltiorrhizae radix et rhizoma during drying by LF-NMR and HPLC. ANAL SCI 2022; 38:289-298. [PMID: 35314974 DOI: 10.2116/analsci.21p169] [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: 05/27/2021] [Accepted: 08/31/2021] [Indexed: 11/23/2022]
Abstract
Salviae miltiorrhizae radix et rhizoma (Danshen, in Chinese) is one of the traditional Chinese medicines commonly used in clinical practice. In this study, low field nuclear magnetic resonance (LF-NMR) was used to detect changes in the moisture content during the drying of Danshen. Three water states (bound, immobilized, and free) in Danshen were investigated by multi-exponential fitting of the NMR data. Mass changes during drying were analyzed using high-performance liquid chromatography and partial least squares discriminant analysis. The results revealed that two components, salvianolic acid B and tanshinone, were the main chemical substances that produced the differences. Correlations were found among chemical substances, color, and moisture. LF-NMR can quickly assess the moisture content during drying. It also provides a practical tool for the production and processing of medicines or slices.
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Affiliation(s)
- Qinrong Liu
- Henan University of Chinese Medicine, Zhengzhou, 450046, Henan, China
| | - Yishuo Wang
- Henan University of Chinese Medicine, Zhengzhou, 450046, Henan, China.
- Henan Integrated Engineering Technology Research Center of Traditional Chinese Medicine Production, Zhengzhou, 450046, Henan, China.
| | - Zhenling Zhang
- Henan University of Chinese Medicine, Zhengzhou, 450046, Henan, China
- Henan Integrated Engineering Technology Research Center of Traditional Chinese Medicine Production, Zhengzhou, 450046, Henan, China
| | - Ziwei Du
- Henan University of Chinese Medicine, Zhengzhou, 450046, Henan, China
| | - Jiazhen Li
- Henan University of Chinese Medicine, Zhengzhou, 450046, Henan, China
| | - Yuquan Wu
- Henan University of Chinese Medicine, Zhengzhou, 450046, Henan, China
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8
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Salo HM, Nguyen N, Alakärppä E, Klavins L, Hykkerud AL, Karppinen K, Jaakola L, Klavins M, Häggman H. Authentication of berries and berry-based food products. Compr Rev Food Sci Food Saf 2021; 20:5197-5225. [PMID: 34337851 DOI: 10.1111/1541-4337.12811] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/16/2021] [Accepted: 06/30/2021] [Indexed: 12/15/2022]
Abstract
Berries represent one of the most important and high-valued group of modern-day health-beneficial "superfoods" whose dietary consumption has been recognized to be beneficial for human health for a long time. In addition to being delicious, berries are rich in nutrients, vitamins, and several bioactive compounds, including carotenoids, flavonoids, phenolic acids, and hydrolysable tannins. However, due to their high value, berries and berry-based products are often subject to fraudulent adulteration, commonly for economical gain, but also unintentionally due to misidentification of species. Deliberate adulteration often comprises the substitution of high-value berries with lower value counterparts and mislabeling of product contents. As adulteration is deceptive toward customers and presents a risk for public health, food authentication through different methods is applied as a countermeasure. Although many authentication methods have been developed in terms of fast, sensitive, reliable, and low-cost analysis and have been applied in the authentication of a myriad of food products and species, their application on berries and berry-based products is still limited. The present review provides an overview of the development and application of analytical chemistry methods, such as isotope ratio analysis, liquid and gas chromatography, spectroscopy, as well as DNA-based methods and electronic sensors, for the authentication of berries and berry-based food products. We provide an overview of the earlier use and recent advances of these methods, as well as discuss the advances and drawbacks related to their application.
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Affiliation(s)
- Heikki M Salo
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Nga Nguyen
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Emmi Alakärppä
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Linards Klavins
- The Natural Resource Research Centre, University of Latvia, Riga, Latvia
| | - Anne Linn Hykkerud
- Department of Horticulture, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway
| | - Katja Karppinen
- Department of Horticulture, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway.,Department of Arctic and Marine Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Laura Jaakola
- Department of Horticulture, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway.,Department of Arctic and Marine Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Maris Klavins
- The Natural Resource Research Centre, University of Latvia, Riga, Latvia
| | - Hely Häggman
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
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9
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Emwas AHM, Al-Rifai N, Szczepski K, Alsuhaymi S, Rayyan S, Almahasheer H, Jaremko M, Brennan L, Lachowicz JI. You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research. Foods 2021; 10:1249. [PMID: 34072780 PMCID: PMC8229064 DOI: 10.3390/foods10061249] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/26/2021] [Accepted: 05/27/2021] [Indexed: 12/17/2022] Open
Abstract
A healthy condition is defined by complex human metabolic pathways that only function properly when fully satisfied by nutritional inputs. Poor nutritional intakes are associated with a number of metabolic diseases, such as diabetes, obesity, atherosclerosis, hypertension, and osteoporosis. In recent years, nutrition science has undergone an extraordinary transformation driven by the development of innovative software and analytical platforms. However, the complexity and variety of the chemical components present in different food types, and the diversity of interactions in the biochemical networks and biological systems, makes nutrition research a complicated field. Metabolomics science is an "-omic", joining proteomics, transcriptomics, and genomics in affording a global understanding of biological systems. In this review, we present the main metabolomics approaches, and highlight the applications and the potential for metabolomics approaches in advancing nutritional food research.
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Affiliation(s)
- Abdul-Hamid M. Emwas
- Imaging and Characterization Core Lab, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia;
| | - Nahla Al-Rifai
- Environmental Technology Management (2005-2012), College for Women, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait;
| | - Kacper Szczepski
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Shuruq Alsuhaymi
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Saleh Rayyan
- Chemistry Department, Birzeit University, Birzeit 627, Palestine;
| | - Hanan Almahasheer
- Department of Biology, College of Science, Imam Abdulrahman Bin Faisal University (IAU), Dammam 31441-1982, Saudi Arabia;
| | - Mariusz Jaremko
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Lorraine Brennan
- Institute of Food and Health and Conway Institute, School of Agriculture & Food Science, Dublin 4, Ireland;
| | - Joanna Izabela Lachowicz
- Department of Medical Sciences and Public Health, University of Cagliari, Cittadella Universitaria, 09042 Monserrato, Italy
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