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Ji Z, Zhang J, Deng C, Guo T, Han R, Yang Y, Zang C, Chen Y. Identification of pasteurized mare milk and powder adulteration with bovine milk using quantitative proteomics and metabolomics approaches. Food Chem X 2024; 22:101265. [PMID: 38468636 PMCID: PMC10926301 DOI: 10.1016/j.fochx.2024.101265] [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: 11/26/2023] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/13/2024] Open
Abstract
Adulteration in dairy products presents food safety challenges, driven by economic factors. Processing may change specific biomarkers, thus affecting their effectiveness in detection. In this study, proteomics and metabolomics approaches were to investigate the detection of bovine milk (BM) constituents adulteration in pasteurized mare milk (PMM) and mare milk powder (MMP). Several bovine proteins and metabolites were identified, with their abundances in PMM and MMP increasing upon addition of BM. Proteins like osteopontin (OPN) and serotransferrin (TF) detected adulteration down to 1 % in PMM, whereas these proteins in MMP were utilized to identify 10 % adulteration. Biotin and N6-Me-adenosine were effective in detecting adulteration in PMM as low as 10 % and 1 % respectively, while in MMP, their detection limits extend down to 0.1 %. These findings offer insights for authenticating mare milk products and underscore the influence of processing methods on biomarker levels, stressing the need to consider these effects in milk product authentication.
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Affiliation(s)
- Zhongyuan Ji
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Junyu Zhang
- Institute of Feed Research, Xinjiang Academy of Animal Science, Urumqi 830052, Xinjiang, China
| | - Chunxia Deng
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Tongjun Guo
- Institute of Feed Research, Xinjiang Academy of Animal Science, Urumqi 830052, Xinjiang, China
| | - Rongwei Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Yongxin Yang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Changjiang Zang
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
| | - Yong Chen
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
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2
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Zhang J, Wei L, Miao J, Yu Y, Yu N, Hu Q, Chen H, Chen Y. Authenticity identification of animal species in characteristic milk by integration of shotgun proteomics and scheduled multiple reaction monitoring (MRM) based on tandem mass spectrometry. Food Chem 2024; 436:137736. [PMID: 37863000 DOI: 10.1016/j.foodchem.2023.137736] [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: 07/17/2023] [Revised: 09/19/2023] [Accepted: 10/09/2023] [Indexed: 10/22/2023]
Abstract
Milk is one of the oldest natural dairies with high value, which has different species including cow, camel, donkey, goat, sheep, buffalo, yak and et al. However, economically motivated adulteration of non-cow milk with cheaper cow milk occurs frequently. To develop a high-throughput approach for milk species authentication, integration of shotgun proteomics and scheduled multiple reaction monitoring (MRM) was developed. In total, 37 specific peptides were screened as unique to different species. Specific peptides processing stability was investigated under different treatment (heat, pressure, fermentation). Subsequently, four quantitative ion pairs of peptides from cow milk and six quantitative ion pairs of peptides from six non-cow milks were selected for the adulteration quantitative analysis. The method is capable of detection adulteration in the range of 1%-100%, and the quantitative recoveries ranged from 91.07% to 111.75%. The results suggested that combination of shotgun proteomics and MRM had potential for the milk species authentication.
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Affiliation(s)
- Jiukai Zhang
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Liyang Wei
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Jinliang Miao
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Yue Yu
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China; School of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, PR China
| | - Ning Yu
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Qian Hu
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - He Chen
- Institute of Quality Standard & Testing Technology for Agro-products, Xinjiang Academy of Agricultural Sciences, 830091, PR China
| | - Ying Chen
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China.
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3
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Chien HJ, Zheng YF, Wang WC, Kuo CY, Hsu YM, Lai CC. Determination of adulteration, geographical origins, and species of food by mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:2273-2323. [PMID: 35652168 DOI: 10.1002/mas.21780] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 04/07/2022] [Accepted: 04/12/2022] [Indexed: 06/15/2023]
Abstract
Food adulteration, mislabeling, and fraud, are rising global issues. Therefore, a number of precise and reliable analytical instruments and approaches have been proposed to ensure the authenticity and accurate labeling of food and food products by confirming that the constituents of foodstuffs are of the kind and quality claimed by the seller and manufacturer. Traditional techniques (e.g., genomics-based methods) are still in use; however, emerging approaches like mass spectrometry (MS)-based technologies are being actively developed to supplement or supersede current methods for authentication of a variety of food commodities and products. This review provides a critical assessment of recent advances in food authentication, including MS-based metabolomics, proteomics and other approaches.
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Affiliation(s)
- Han-Ju Chien
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Yi-Feng Zheng
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Wei-Chen Wang
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Cheng-Yu Kuo
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Yu-Ming Hsu
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Chien-Chen Lai
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
- Graduate Institute of Chinese Medical Science, China Medical University, Taichung, Taiwan
- Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
- Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung, Taiwan
- Rong Hsing Research Center For Translational Medicine, National Chung Hsing University, Taichung, Taiwan
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4
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Wang P, Ma J, Li W, Wang Q, Xiao Y, Jiang Y, Gu X, Wu Y, Dong S, Guo H, Li M. Profiling the metabolome of uterine fluid for early detection of ovarian cancer. Cell Rep Med 2023:101061. [PMID: 37267943 DOI: 10.1016/j.xcrm.2023.101061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 03/28/2023] [Accepted: 05/08/2023] [Indexed: 06/04/2023]
Abstract
Ovarian cancer (OC) causes high mortality in women because of ineffective biomarkers for early diagnosis. Here, we perform metabolomics analysis on an initial training set of uterine fluid from 96 gynecological patients. A seven-metabolite-marker panel consisting of vanillylmandelic acid, norepinephrine, phenylalanine, beta-alanine, tyrosine, 12-S-hydroxy-5,8,10-heptadecatrienoic acid, and crithmumdiol is established for detecting early-stage OC. The panel is further validated in an independent sample set from 123 patients, discriminating early OC from controls with an area under the curve (AUC) of 0.957 (95% confidence interval [CI], 0.894-1). Interestingly, we find elevated norepinephrine and decreased vanillylmandelic acid in most OC cells, resulting from excess 4-hydroxyestradiol that antagonizes the catabolism of norepinephrine by catechol-O-methyltransferase. Moreover, exposure to 4-hydroxyestradiol induces cellular DNA damage and genomic instability that could lead to tumorigenesis. Thus, this study not only reveals metabolic features in uterine fluid of gynecological patients but also establishes a noninvasive approach for the early diagnosis of OC.
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Affiliation(s)
- Pan Wang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China
| | - Jihong Ma
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China
| | - Wenjing Li
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China
| | - Qilong Wang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China; Department of Chemical Biology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Yinan Xiao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China
| | - Yuening Jiang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China
| | - Xiaoyang Gu
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China
| | - Yu Wu
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China
| | - Suwei Dong
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China; Department of Chemical Biology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Hongyan Guo
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China.
| | - Mo Li
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China; National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, China; Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology (Peking University Third Hospital), Beijing 100191, China.
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5
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Fan R, Xie S, Wang S, Yu Z, Sun X, Du Q, Yang Y, Han R. Identification markers of goat milk adulterated with bovine milk based on proteomics and metabolomics. Food Chem X 2023; 17:100601. [PMID: 36974185 PMCID: PMC10039227 DOI: 10.1016/j.fochx.2023.100601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 02/09/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
This study investigated the differences in proteins and metabolites from goat and bovine milk, and their mixtures, using data-independent-acquisition-based proteomics and metabolomics methods. In the skim milk, relative abundances of secretoglobin family 1D member (SCGB1D), polymeric immunoglobulin receptor, and glycosylation-dependent cell adhesion molecule 1 were increased, with an increase in the amount of 1-100 % bovine milk and served as markers at the 1 % adulteration level. In whey samples, β-lactoglobulin and α-2-HS-glycoprotein could be used to detect adulteration at the 0.1 % adulteration level, and SCGB1D and zinc-alpha-2-glycoprotein at the 1 % level. The metabolites of uric acid and N-formylkynurenine could be used to detect bovine milk at adulteration levels as low as 1 % based on variable importance at a projection value of > 1.0 and P-value of < 0.05. Our findings suggest novel markers of SCGB1D, uric acid, and N-formylkynurenine that can help to facilitate assessments of goat milk authenticity.
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Affiliation(s)
- Rongbo Fan
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Shubin Xie
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Shifeng Wang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Zhongna Yu
- Haidu College. Qingdao Agricultural University, Laiyang 265200, Shandong, China
| | - Xueheng Sun
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Qijing Du
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Yongxin Yang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Rongwei Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
- Corresponding author.
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6
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Kahraman M, Yurtseven S, Sakar E, Daş A, Yalçın H, Güngören G, Boyraz MÜ, Koyuncu İ. Pistachio, Pomegranate and Olive Byproducts Added to Sheep Rations Change the Biofunctional Properties of Milk through the Milk Amino Acid Profile. Food Sci Anim Resour 2023; 43:124-138. [PMID: 36789194 PMCID: PMC9890361 DOI: 10.5851/kosfa.2022.e65] [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: 05/05/2022] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 11/27/2022] Open
Abstract
This study was carried out to determine the effects of adding pistachio shell (PIS), pomegranate hull (POM), and olive pulp (OP) to the diet on milk amino acid and fatty acid parameters in Awassi sheep. In the study, 40 head of Awassi sheep, which gave birth at least twice, were used as animal material. Sheep were fed a control diet without added byproducts (CON), rations containing PIS, POM, and OP. Milk amino acid profile was determined by liquid chromatography-tandem mass spectrometry, milk fatty acid gas chromatography-flame ionization detection device. There was a dramatic reduction in alanine, citrulline, glutamine, glutamic acid, glycine, leucine, ornithine and alphaaminoadipic acid in the research groups. In the PIS group, argininosuccinic acid, gammaminobutyric acid, beta-alanine and sarcosine; In the POM group, asparagine, gammaminobutyric acid, beta-alanine, and taurine; In the OP group, a significant positive increase was found in terms of alanine, histidine, gammaminobutyric acid, and taurine amino acids. The applications in the study did not have a statistically significant effect on the ratio of short, medium and long chain fatty acids in milk (p>0.05). In the presented study, it was determined that PIS, POM, and OP, which were added to the sheep rations at a rate of 5%, caused significant changes in the milk amino acid profiles. In this change in milk amino acid profiles, the benefit-harm relationship should be considered.
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Affiliation(s)
- Mücahit Kahraman
- Department of Animal Science, Faculty of
Veterinary Medicine, Harran University,
Şanlıurfa 63300, Turkey,Corresponding author:
Mücahit Kahraman, Department of Animal Science, Faculty of Veterinary
Medicine, Harran University, Şanlıurfa 63300, Turkey, Tel:
+90-414-318-3918, Fax: +90-414-318-3922, E-mail:
| | - Sabri Yurtseven
- Department of Animal Science, Faculty of
Agriculture, Harran University, Şanlıurfa 63300,
Turkey
| | - Ebru Sakar
- Department of Horticulture, Faculty of
Agriculture, Harran University, Şanlıurfa 63300,
Turkey
| | - Aydın Daş
- Department of Animal Science, Faculty of
Veterinary Medicine, Harran University,
Şanlıurfa 63300, Turkey
| | - Hamza Yalçın
- Department of Biostatistics, Faculty of
Agriculture, Harran University, Şanlıurfa 63300,
Turkey
| | - Gülşah Güngören
- Department of Animal Science, Faculty of
Veterinary Medicine, Harran University,
Şanlıurfa 63300, Turkey
| | - Mustafa Ünal Boyraz
- Histology Department, Faculty of
Veterinary Medicine, Harran University,
Şanlıurfa 63300, Turkey
| | - İsmail Koyuncu
- Department of Biochemistry, Faculty of
Medicine, Harran University, Şanlıurfa 63300,
Turkey
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7
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Dong L, Zhao C, Zhang F, Ma Y, Song C, Penttinen P, Zhang S, Li Z. Metabolic characterization of different-aged Monascus vinegars via HS-SPME-GC-MS and CIL LC-MS approach. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.114169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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8
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Ji Z, Zhang J, Deng C, Hu Z, Du Q, Guo T, Wang J, Fan R, Han R, Yang Y. Identification of mare milk adulteration with cow milk by liquid chromatography-high resolution mass spectrometry based on proteomics and metabolomics approaches. Food Chem 2022; 405:134901. [DOI: 10.1016/j.foodchem.2022.134901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/09/2022] [Accepted: 11/07/2022] [Indexed: 11/11/2022]
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9
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Authenticity and traceability of goat milk: Molecular mechanism of β-carotene biotransformation and accessibility. Food Chem 2022; 388:133073. [PMID: 35483296 DOI: 10.1016/j.foodchem.2022.133073] [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: 02/02/2022] [Revised: 03/31/2022] [Accepted: 04/22/2022] [Indexed: 11/22/2022]
Abstract
The efficiently extraction and accurately quantify of β-carotene and its metabolites are crucial for authenticity and traceability in goat milk. Nevertheless, its reliability can be largely improved. In this study, meticulously designed native ESI-MS, fluorescence spectroscopy and molecular docking in combination with cold-induced acetonitrile aqueous two-phase separation system weaken the interaction between β-lactoglobulin and β-carotene metabolites and realized the efficiently extraction. Furthermore, established non-targeted quantitative metabolomics with optimal ion source and variable data-independent acquisition minimized the matrix effects and potential ion suppression. Validated atmospheric pressure chemical ionization-ultra high performance liquid chromatography-Orbitrap method showed that β-carotene as distinctive biomarker in cow milk, and retinol, retinaldehyde, retinoic acid and abscisic acid in goat milk. Collectively, the proposed method is a powerful tool to detect cow adulteration risks in goat milk samples and provides valuable information for availability on authenticity of goat milk.
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Comparison of the Effectiveness of Four Commercial DNA Extraction Kits on Fresh and Frozen Human Milk Samples. Methods Protoc 2022; 5:mps5040063. [PMID: 35893589 PMCID: PMC9326650 DOI: 10.3390/mps5040063] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/08/2022] [Accepted: 07/11/2022] [Indexed: 11/23/2022] Open
Abstract
For-profit donor human milk organizations have DNA-based proprietary methodology for testing incoming milk for adulteration with other species’ milk. However, there is currently no standardized methodology for extracting DNA from human milk. Microbiome research has shown that DNA purity and quantity can vary depending on the extraction methodology and storage conditions. This study assessed the purity and quantity of DNA extracted from four commercially available DNA extraction kits—including one kit that was developed for human milk. This study was for method validation only. One donor provided a 90 mL human milk sample. The sample was aliquoted into 70 × 1 mL microcentrifuge tubes. Aliquots were randomized into one of three categories: fresh extraction, extraction after freezing, and extraction after purification and storage at room temperature. DNA was analyzed for purity and quantity using a NanoDrop Spectrophotometer. Results confirmed differences in DNA purity and quantity between extraction kits. The Plasma/Serum Circulating DNA Purification Mini Kit (Norgen Biotek, ON, Canada) provided significantly more DNA, and consistent purity as measured by 260/280 and 260/230 ratios. DNA quantity and purity were similar between fresh and frozen human milk samples. These results suggest that DNA purity and quantity is highest and most consistent when extracted from human milk using the Plasma/Serum Circulating DNA Purification Mini Kit amongst the kits tested in this study. Standardized methodology for extracting DNA from human milk is necessary for improvement of research in the field of human milk. To do this, future studies are recommended for optimization of DNA extraction from human milk using larger sample sizes and multiple donor parents.
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11
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Li Z, Zhao C, Dong L, Huan Y, Yoshimoto M, Zhu Y, Tada I, Wang X, Zhao S, Zhang F, Li L, Arita M. Comprehensive Metabolomic Comparison of Five Cereal Vinegars Using Non-Targeted and Chemical Isotope Labeling LC-MS Analysis. Metabolites 2022; 12:metabo12050427. [PMID: 35629931 PMCID: PMC9144210 DOI: 10.3390/metabo12050427] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/06/2022] [Accepted: 05/09/2022] [Indexed: 02/04/2023] Open
Abstract
Vinegar is used as an acidic condiment and preservative worldwide. In Asia, various black vinegars are made from different combinations of grains, such as Sichuan bran vinegar (SBV), Shanxi aged vinegar (SAV), Zhenjiang aromatic vinegar (ZAV), and Fujian Monascus vinegar (FMV) in China and Ehime black vinegar in Japan (JBV). Understanding the chemical compositions of different vinegars can provide information about nutritional values and the quality of the taste. This study investigated the vinegar metabolome using a combination of GC-MS, conventional LC-MS, and chemical isotope labeling LC-MS. Different types of vinegar contained different metabolites and concentrations. Amino acids and organic acids were found to be the main components. Tetrahydroharman-3-carboxylic acid and harmalan were identified first in vinegar. Various diketopiperazines and linear dipeptides contributing to different taste effects were also detected first in vinegar. Dipeptides, 3-phenyllactic acid, and tyrosine were found to be potential metabolic markers for differentiating vinegars. The differently expressed pathway between Chinese and Japanese vinegar was tryptophan metabolism, while the main difference within Chinese vinegars was aminoacyl-tRNA biosynthesis metabolism. These results not only give insights into the metabolites in famous types of cereal vinegar but also provide valuable knowledge for making vinegar with desirable health characteristics.
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Affiliation(s)
- Zhihua Li
- Institute of Agro-Products Processing Science and Technology, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China; (C.Z.); (L.D.); (Y.Z.); (F.Z.)
- Correspondence: (Z.L.); (L.L.); (M.A.)
| | - Chi Zhao
- Institute of Agro-Products Processing Science and Technology, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China; (C.Z.); (L.D.); (Y.Z.); (F.Z.)
| | - Ling Dong
- Institute of Agro-Products Processing Science and Technology, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China; (C.Z.); (L.D.); (Y.Z.); (F.Z.)
| | - Yu Huan
- China Application Service Center, SCIEX Analytical Instrument Trading Co., Shanghai 200335, China;
| | - Miwa Yoshimoto
- Bioinformation and DDBJ Center, National Institute of Genetics, Mishima 411-8540, Japan; (M.Y.); (I.T.)
| | - Yongqing Zhu
- Institute of Agro-Products Processing Science and Technology, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China; (C.Z.); (L.D.); (Y.Z.); (F.Z.)
| | - Ipputa Tada
- Bioinformation and DDBJ Center, National Institute of Genetics, Mishima 411-8540, Japan; (M.Y.); (I.T.)
| | - Xiaohang Wang
- Department of Chemistry, University of Alberta, Edmonton, AB T6G 2G2, Canada; (X.W.); (S.Z.)
| | - Shuang Zhao
- Department of Chemistry, University of Alberta, Edmonton, AB T6G 2G2, Canada; (X.W.); (S.Z.)
| | - Fengju Zhang
- Institute of Agro-Products Processing Science and Technology, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China; (C.Z.); (L.D.); (Y.Z.); (F.Z.)
| | - Liang Li
- Department of Chemistry, University of Alberta, Edmonton, AB T6G 2G2, Canada; (X.W.); (S.Z.)
- Correspondence: (Z.L.); (L.L.); (M.A.)
| | - Masanori Arita
- Bioinformation and DDBJ Center, National Institute of Genetics, Mishima 411-8540, Japan; (M.Y.); (I.T.)
- RIKEN Center for Sustainable Resource Science, Yokohama 230-0045, Japan
- Correspondence: (Z.L.); (L.L.); (M.A.)
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12
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Serum Albumin: A Multifaced Enzyme. Int J Mol Sci 2021; 22:ijms221810086. [PMID: 34576249 PMCID: PMC8466385 DOI: 10.3390/ijms221810086] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/14/2021] [Accepted: 09/15/2021] [Indexed: 02/06/2023] Open
Abstract
Human serum albumin (HSA) is the most abundant protein in plasma, contributing actively to oncotic pressure maintenance and fluid distribution between body compartments. HSA acts as the main carrier of fatty acids, recognizes metal ions, affects pharmacokinetics of many drugs, provides the metabolic modification of some ligands, renders potential toxins harmless, accounts for most of the anti-oxidant capacity of human plasma, and displays esterase, enolase, glucuronidase, and peroxidase (pseudo)-enzymatic activities. HSA-based catalysis is physiologically relevant, affecting the metabolism of endogenous and exogenous compounds including proteins, lipids, cholesterol, reactive oxygen species (ROS), and drugs. Catalytic properties of HSA are modulated by allosteric effectors, competitive inhibitors, chemical modifications, pathological conditions, and aging. HSA displays anti-oxidant properties and is critical for plasma detoxification from toxic agents and for pro-drugs activation. The enzymatic properties of HSA can be also exploited by chemical industries as a scaffold to produce libraries of catalysts with improved proficiency and stereoselectivity for water decontamination from poisonous agents and environmental contaminants, in the so called “green chemistry” field. Here, an overview of the intrinsic and metal dependent (pseudo-)enzymatic properties of HSA is reported to highlight the roles played by this multifaced protein.
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Pseudosterase activity-based specific detection of human serum albumin on gel. Talanta 2021; 224:121906. [PMID: 33379110 DOI: 10.1016/j.talanta.2020.121906] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 11/12/2020] [Accepted: 11/13/2020] [Indexed: 11/21/2022]
Abstract
Human serum albumin (HSA) has pseudoesterase activity. So far on gel specific detection of such property of HSA is never reported. Moreover, protein binding dyes are non-specific for albumin. However, many of such dyes are used for HSA detection. So, dye-based albumin detection on the gel is expected to generate false-positive results for HSA. In this context, we have discovered that Fast Blue BB (FBBB, 0.12%) stains specifically HSA pseudoesterase activity with 2 Naphthyl acetate (2NA) as an ester substrate. Further, neostigmine has not inhibited the pseudoesterase activity associated with HSA. Neostigmine is a known inhibitor of many true esterases like acetylcholinesterase. So, neostigmine addition offers specificity to the method developed for staining of HSA. Additionally, 2NA stains HSA better than bovine serum albumin (BSA). Exploring all these novel findings, we have devised a simple method of HSA detection on the gel, accurately where other esterases are not detected. To the best of our knowledge, our method is the first to detect HSA pseudoesterase activity specifically on gel without getting interfered by any other esterase activity. The method detects HSA better than BSA. We feel that this method will go a long way for the specific detection of HSA on the gel. It is also relevant for understanding the purity of donor human milk matrix and pharmaceutical preparation of HSA. Our method can detect 7 μM of added HSA in human urine. Therefore, our method can be proceeded further for microalbuminuria detection in days to come.
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Phan M, Momin SR, Senn MK, Wood AC. Metabolomic Insights into the Effects of Breast Milk Versus Formula Milk Feeding in Infants. Curr Nutr Rep 2020; 8:295-306. [PMID: 31203566 DOI: 10.1007/s13668-019-00284-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW This review summarizes the latest scientific evidence for the presence of metabolomic differences between infants fed breast milk (I-BM) and infants fed formula milk (I-FM). RECENT FINDINGS Across the studies included in this review, a total of 261 metabolites were analyzed, of which 151 metabolites were reported as significantly associated with infant feeding modality (BM versus FM). However, taken as a whole, the relevant literature was notable both for methodological limitations, such as small sample sizes, and heterogeneity between the studies. This may be why many associations between infant metabolite profile and feeding modality have not replicated across studies. To our knowledge, this is the first review to integrate the available literature on metabolomic differences between I-BM versus I-FM. This narrative review synthesized the data across studies and identified those metabolites which show the most robust associations with infant feeding modality. Methodological limitations of the current studies are identified, followed by recommendations for how to address these in future studies.
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Affiliation(s)
- Mimi Phan
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA
| | - Shabnam R Momin
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA
| | - Mackenzie K Senn
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA
| | - Alexis C Wood
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA.
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1H NMR and multi-technique data fusion as metabolomic tool for the classification of golden rums by multivariate statistical analysis. Food Chem 2020; 317:126363. [DOI: 10.1016/j.foodchem.2020.126363] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 01/06/2020] [Accepted: 02/04/2020] [Indexed: 12/12/2022]
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16
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von Eyken A, Ramachandran S, Bayen S. Suspected-target screening for the assessment of plastic-related chemicals in honey. Food Control 2020. [DOI: 10.1016/j.foodcont.2019.106941] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Ten-Doménech I, Ramos-Garcia V, Piñeiro-Ramos JD, Gormaz M, Parra-Llorca A, Vento M, Kuligowski J, Quintás G. Current Practice in Untargeted Human Milk Metabolomics. Metabolites 2020; 10:E43. [PMID: 31979022 PMCID: PMC7074033 DOI: 10.3390/metabo10020043] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/10/2020] [Accepted: 01/19/2020] [Indexed: 12/11/2022] Open
Abstract
Human milk (HM) is considered the gold standard for infant nutrition. HM contains macro- and micronutrients, as well as a range of bioactive compounds (hormones, growth factors, cell debris, etc.). The analysis of the complex and dynamic composition of HM has been a permanent challenge for researchers. The use of novel, cutting-edge techniques involving different metabolomics platforms has permitted to expand knowledge on the variable composition of HM. This review aims to present the state-of-the-art in untargeted metabolomic studies of HM, with emphasis on sampling, extraction and analysis steps. Workflows available from the literature have been critically revised and compared, including a comprehensive assessment of the achievable metabolome coverage. Based on the scientific evidence available, recommendations for future untargeted HM metabolomics studies are included.
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Affiliation(s)
- Isabel Ten-Doménech
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - Victoria Ramos-Garcia
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - José David Piñeiro-Ramos
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - María Gormaz
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
- Division of Neonatology, University & Polytechnic Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Anna Parra-Llorca
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - Máximo Vento
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
- Division of Neonatology, University & Polytechnic Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain
| | - Julia Kuligowski
- Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain; (I.T.-D.); (V.R.-G.); (J.D.P.-R.); (M.G.); (A.P.-L.); (M.V.)
| | - Guillermo Quintás
- Health and Biomedicine, Leitat Technological Center, Carrer de la Innovació, 2, 08225 Terrassa, Spain;
- Unidad Analítica, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain
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Bardanzellu F, Peila C, Fanos V, Coscia A. Clinical insights gained through metabolomic analysis of human breast milk. Expert Rev Proteomics 2019; 16:909-932. [PMID: 31825672 DOI: 10.1080/14789450.2019.1703679] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Introduction: Among the OMICS technologies, that have emerged in recent years, metabolomics has allowed relevant step forwards in clinical research. Several improvements in disease diagnosis and clinical management have been permitted, even in neonatology. Among potentially evaluable biofluids, breast milk (BM) results are highly interesting, representing a fluid of conjunction between mothers newborns, describing their interaction.Areas covered: in this review, updating a previous review article, we discuss research articles and reviews on BM metabolomics and found in MEDLINE using metabolomics, breast milk, neonatal nutrition, breastfeeding, human milk composition, and preterm neonates as keywords.Expert opinion: Our research group has a profound interest in metabolomics research. In 2012, we published the first metabolomic analysis on BM samples, reporting interesting data on its composition and relevant differences with formula milk (FM), useful to improve FM composition. As confirmed by successive studies, such technology can detect the specific BM composition and its dependence on several variables, including lactation stage, gestational age, maternal or environmental conditions. Moreover, since BM contaminants or drug levels can be detected, metabolomics also results useful to determine BM safety. These are only a few practical applications of BM analysis, which will be reviewed in this paper.
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Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Monserrato, Italy
| | - Chiara Peila
- Neonatology Unit, Department of Public Health and Pediatrics, Università degli Studi di Torino, Turin, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU University of Cagliari, Monserrato, Italy
| | - Alessandra Coscia
- Neonatology Unit, Department of Public Health and Pediatrics, Università degli Studi di Torino, Turin, Italy
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Li C, Zhang J, Wu R, Liu Y, Hu X, Yan Y, Ling X. A novel strategy for rapidly and accurately screening biomarkers based on ultraperformance liquid chromatography-mass spectrometry metabolomics data. Anal Chim Acta 2019; 1063:47-56. [DOI: 10.1016/j.aca.2019.03.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 03/06/2019] [Accepted: 03/07/2019] [Indexed: 12/26/2022]
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Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS. Chemical Composition of Commercial Cow's Milk. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:4897-4914. [PMID: 30994344 DOI: 10.1021/acs.jafc.9b00204] [Citation(s) in RCA: 120] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Bovine milk is a nutritionally rich, chemically complex biofluid consisting of hundreds of different components. While the chemical composition of cow's milk has been studied for decades, much of this information is fragmentary and very dated. In an effort to consolidate and update this information, we have applied modern, quantitative metabolomics techniques along with computer-aided literature mining to obtain the most comprehensive and up-to-date characterization of the chemical constituents in commercial cow's milk. Using nuclear magnetic resonance (NMR) spectroscopy, liquid chromatography-mass spectrometry (LC-MS), and inductively coupled plasma-mass spectrometry (ICP-MS), we were able to identify and quantify 296 bovine milk metabolites or metabolite species (corresponding to 1447 unique structures) from a variety of commercial milk samples. Through our literature analysis, we also found another 676 metabolites or metabolite species (corresponding to 908 unique structures). Detailed information regarding all 2355 of the identified chemicals in bovine milk have been made freely available through a Web-accessible database called the Milk Composition Database or MCDB ( http://www.mcdb.ca/ ).
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Affiliation(s)
- Aidin Foroutan
- Department of Biological Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E9
- Department of Agricultural , Food and Nutritional Science , Edmonton , Alberta , Canada T6G 2P5
| | - An Chi Guo
- Department of Biological Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E9
| | - Rosa Vazquez-Fresno
- Department of Biological Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E9
| | - Matthias Lipfert
- Department of Biological Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E9
| | - Lun Zhang
- Department of Biological Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E9
| | - Jiamin Zheng
- Department of Biological Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E9
| | - Hasan Badran
- Department of Computing Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E8
| | - Zachary Budinski
- Department of Computing Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E8
| | - Rupasri Mandal
- Department of Biological Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E9
| | - Burim N Ametaj
- Department of Agricultural , Food and Nutritional Science , Edmonton , Alberta , Canada T6G 2P5
| | - David S Wishart
- Department of Biological Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E9
- Department of Computing Sciences , University of Alberta , Edmonton , Alberta , Canada T6G 2E8
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Belmonte-Sánchez JR, Romero-González R, Arrebola FJ, Vidal JLM, Garrido Frenich A. An Innovative Metabolomic Approach for Golden Rum Classification Combining Ultrahigh-Performance Liquid Chromatography-Orbitrap Mass Spectrometry and Chemometric Strategies. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:1302-1311. [PMID: 30618256 DOI: 10.1021/acs.jafc.8b05622] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
A comprehensive fingerprinting strategy for golden rum classification considering different categories such as fermentation barrel, raw material, and aging is provided, using a metabolomic fingerprinting approach. A nontarget fingerprinting of 30 different rums using liquid chromatography coupled to high-resolution mass spectrometry (Exactive Orbitrap mass analyzer, LC-HRMS) was applied. Principal component analysis (PCA) was used to assess the overall structure of the data and to identify potential outliers. Different chemometric analyses such as partial least-squares discriminant analysis (PLS-DA) were used. A variable importance in projection (VIP) selection method was applied to identify the most significant markers that allow group separation. Compounds related to aging and fermentation processes such as furfural derivates (e.g., hydroxymethylfurfural) and sugars (e.g., glucose, mannitol) were found as the most discriminant compounds (VIP threshold value >1.5). Suitable separation according to selected categories was achieved, and a classification ability of the models of close to 100% was achieved.
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Affiliation(s)
- José Raúl Belmonte-Sánchez
- Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Agricultural and Food Biotechnology (BITAL) , University of Almería , Agrifood Campus of International Excellence, ceiA3, E-04120 Almería , Spain
| | - Roberto Romero-González
- Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Agricultural and Food Biotechnology (BITAL) , University of Almería , Agrifood Campus of International Excellence, ceiA3, E-04120 Almería , Spain
| | - Francisco Javier Arrebola
- Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Agricultural and Food Biotechnology (BITAL) , University of Almería , Agrifood Campus of International Excellence, ceiA3, E-04120 Almería , Spain
| | - José Luis Martínez Vidal
- Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Agricultural and Food Biotechnology (BITAL) , University of Almería , Agrifood Campus of International Excellence, ceiA3, E-04120 Almería , Spain
| | - Antonia Garrido Frenich
- Research Group "Analytical Chemistry of Contaminants", Department of Chemistry and Physics, Research Centre for Agricultural and Food Biotechnology (BITAL) , University of Almería , Agrifood Campus of International Excellence, ceiA3, E-04120 Almería , Spain
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Huang T, Armbruster MR, Coulton JB, Edwards JL. Chemical Tagging in Mass Spectrometry for Systems Biology. Anal Chem 2018; 91:109-125. [DOI: 10.1021/acs.analchem.8b04951] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Tianjiao Huang
- Department of Chemistry, Saint Louis University, 3501 Laclede Avenue, St. Louis, Missouri 63103, United States
| | - Michael R. Armbruster
- Department of Chemistry, Saint Louis University, 3501 Laclede Avenue, St. Louis, Missouri 63103, United States
| | - John B. Coulton
- Department of Chemistry, Saint Louis University, 3501 Laclede Avenue, St. Louis, Missouri 63103, United States
| | - James L. Edwards
- Department of Chemistry, Saint Louis University, 3501 Laclede Avenue, St. Louis, Missouri 63103, United States
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Ge Y, Sun M, Salomé-Abarca LF, Wang M, Choi YH. Investigation of species and environmental effects on rhubarb roots metabolome using 1H NMR combined with high performance thin layer chromatography. Metabolomics 2018; 14:137. [PMID: 30830440 PMCID: PMC6208752 DOI: 10.1007/s11306-018-1421-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 08/27/2018] [Indexed: 01/25/2023]
Abstract
INTRODUCTION The pharmacological activities of medicinal plants are reported to be due to a wide range of metabolites, therein, the concentrations of which are greatly affected by many genetic and/or environmental factors. In this context, a metabolomics approach has been applied to reveal these relationships. The investigation of such complex networks that involve the correlation between multiple biotic and abiotic factors and the metabolome, requires the input of information acquired by more than one analytical platform. Thus, development of new metabolomics techniques or hyphenations is continuously needed. OBJECTIVES Feasibility of high performance thin-layer chromatography (HPTLC) were investigated as a supplementary tool for medicinal plants metabolomics supporting 1H nuclear magnetic resonance (1H NMR) spectroscopy. METHOD The overall metabolic difference of plant material collected from two species (Rheum palmatum and Rheum tanguticum) in different geographical locations and altitudes were analyzed by 1H NMR- and HPTLC-based metabolic profiling. Both NMR and HPTLC data were submitted to multivariate data analysis including principal component analysis and orthogonal partial least square analysis. RESULTS The NMR and HPTLC profiles showed that while chemical variations of rhubarb are in some degree affected by all the factors tested in this study, the most influential factor was altitude of growth. The metabolites responsible for altitude differentiation were chrysophanol, emodin and sennoside A, whereas aloe emodin, catechin, and rhein were the key species-specific markers. CONCLUSION These results demonstrated the potential of HTPLC as a supporting tool for metabolomics due to its high profiling capacity of targeted metabolic groups and preparative capability.
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Affiliation(s)
- Yanhui Ge
- Natural Products Laboratory, Institute of Biology, Leiden University, 2300 RA, Leiden, The Netherlands
- School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Mengmeng Sun
- LU-European Center for Chinese Medicine, Sylviusweg 72, 2333 BE, Leiden, The Netherlands
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, Changchun, 130117, China
| | - Luis F Salomé-Abarca
- Natural Products Laboratory, Institute of Biology, Leiden University, 2300 RA, Leiden, The Netherlands
| | - Mei Wang
- LU-European Center for Chinese Medicine, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
- SU Biomedicine, Postbus 546, 2300 AM, Leiden, The Netherlands.
| | - Young Hae Choi
- Natural Products Laboratory, Institute of Biology, Leiden University, 2300 RA, Leiden, The Netherlands.
- College of Pharmacy, Kyung Hee University, Seoul, 02447, Republic of Korea.
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