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Windarsih A, Abu Bakar NK, Rohman A, Yuliana ND, Dachriyanus D. Untargeted metabolomics using liquid chromatography-high resolution mass spectrometry and chemometrics for analysis of non-halal meats adulteration in beef meat. Anim Biosci 2024; 37:918-928. [PMID: 38228131 PMCID: PMC11065716 DOI: 10.5713/ab.23.0238] [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: 06/28/2023] [Revised: 09/23/2023] [Accepted: 11/02/2023] [Indexed: 01/18/2024] Open
Abstract
OBJECTIVE The adulteration of raw beef (BMr) with dog meat (DMr) and pork (PMr) becomes a serious problem because it is associated with halal status, quality, and safety of meats. This research aimed to develop an effective authentication method to detect non-halal meats (dog meat and pork) in beef using metabolomics approach. METHODS Liquid chromatography-high resolution mass spectrometry (LC-HRMS) using untargeted approach combined with chemometrics was applied for analysis non-halal meats in BMr. RESULTS The untargeted metabolomics approach successfully identified various metabolites in BMr DMr, PMr, and their mixtures. The discrimination and classification between authentic BMr and those adulterated with DMr and PMr were successfully determined using partial least square-discriminant analysis (PLS-DA) with high accuracy. All BMr samples containing non-halal meats could be differentiated from authentic BMr. A number of discriminating metabolites with potential as biomarkers to discriminate BMr in the mixtures with DMr and PMr could be identified from the analysis of variable importance for projection value. Partial least square (PLS) and orthogonal PLS (OPLS) regression using discriminating metabolites showed high accuracy (R2>0.990) and high precision (both RMSEC and RMSEE <5%) in predicting the concentration of DMr and PMr present in beef indicating that the discriminating metabolites were good predictors. The developed untargeted LC-HRMS metabolomics and chemometrics successfully identified non-halal meats adulteration (DMr and PMr) in beef with high sensitivity up to 0.1% (w/w). CONCLUSION A combination of LC-HRMS untargeted metabolomic and chemometrics promises to be an effective analytical technique for halal authenticity testing of meats. This method could be further standardized and proposed as a method for halal authentication of meats.
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Affiliation(s)
- Anjar Windarsih
- Department of Chemistry, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603,
Malaysia
- Research Center for Food Technology and Processing (PRTPP), National Research and Innovation Agency (BRIN), Gunungkidul, Yogyakarta 55861,
Indonesia
| | - Nor Kartini Abu Bakar
- Department of Chemistry, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603,
Malaysia
| | - Abdul Rohman
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281,
Indonesia
- Center of Excellence, Institute for Halal Industry and Systems (PUIPT-IHIS), Universitas Gadjah Mada, Yogyakarta 55281,
Indonesia
| | - Nancy Dewi Yuliana
- Department of Food Science and Technology, IPB University, Bogor 16680,
Indonesia
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Windarsih A, Bakar NKA, Rohman A, Erwanto Y. Analysis of dog meat adulteration in beef meatballs using non-targeted UHPLC-Orbitrap HRMS metabolomics and chemometrics for halal authentication study. ANAL SCI 2024; 40:385-397. [PMID: 38095741 DOI: 10.1007/s44211-023-00470-x] [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: 05/08/2023] [Accepted: 11/08/2023] [Indexed: 02/27/2024]
Abstract
Due to the different price and high quality, halal meat such as beef can be adulterated with non-halal meat with low price to get an economical price. The objective of this research was to develop an analytical method for halal authentication testing of beef meatballs (BM) from dog meat (DM) using a non-targeted metabolomics approach employing liquid chromatography-high-resolution mass spectrometry (LC-HRMS) and chemometrics. The differentiation of authentic BM from that adulterated with DM was successfully performed using partial least square-discriminant analysis (PLS-DA) with high accuracy (R2X = 0.980, and R2Y = 0.980) and good predictivity (Q2 = 0.517). In addition, partial least square (PLS) and orthogonal PLS (OPLS) were successfully used to predict the DM added (% w/w) in BM with high accuracy (R2 > 0.990). A number of metabolites, potential for biomarker candidates, were identified to differentiate BM and that adulterated with DM. It showed that the combination of a non-targeted LC-HRMS Orbitrap metabolomics and chemometrics could detect up to 0.1% w/w of DM adulteration. The developed method was successfully applied for analysis of commercial meatball samples (n = 28). Moreover, pathway analysis revealed that beta-alanine, histidine, and ether lipid metabolism were significantly affected by dog meat adulteration. In summary, this developed method has great potential to be developed and used as an alternative method for analysis of non-halal meats in halal meat products.
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Affiliation(s)
- Anjar Windarsih
- Department of Chemistry, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
- Research Center for Food Technology and Processing (PRTPP), National Research and Innovation Agency (BRIN), Yogyakarta, 55861, Indonesia
| | - Nor Kartini Abu Bakar
- Department of Chemistry, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Abdul Rohman
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.
- Center of Excellence, Institute for Halal Industry and Systems (PUI-PT IHIS), Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.
| | - Yuny Erwanto
- Center of Excellence, Institute for Halal Industry and Systems (PUI-PT IHIS), Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
- Faculty of Animal Sciences, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
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Belore BM, Maheswarappa NB, Kulkarni VV, Banerjee R, Hazarika P, Dasoju S, Mishra BP, Govindaiah PM. Biomarker discovery and authentication of cold-slaughtered chicken through classical analytical procedures and mass spectrometry based proteomic approaches. Br Poult Sci 2023; 64:605-613. [PMID: 37593926 DOI: 10.1080/00071668.2023.2239168] [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: 11/10/2022] [Revised: 05/16/2023] [Accepted: 06/22/2023] [Indexed: 08/19/2023]
Abstract
1. This study evaluated the suitability of routine analytical procedures and used mass spectrometry-based proteomic approaches to distinguish meat from dead chicken/ cold-slaughtered birds (CS), electrically stunned and slaughtered birds, as per standard protocols (ES), and birds slaughtered according to halal guidelines (HS).2. Meat from CS birds had lower (P < 0.05) pH, water-holding capacity and higher (P < 0.05) lipid oxidation, haem iron content, residual blood and total viable counts relative to ES and HS meat indicating poor quality.3. The results demonstrated the presence of unique protein bands on SDS-PAGE only in CS meat that can be used for routine screening.4. Protein analysis using MALDI-TOF mass spectrometry identified haemoglobin subunit alpha-A and alpha-D; Adenylate kinase isoenzyme 1 as reliable and stable marker proteins for authentication of dead chicken meat under raw and cooked conditions and halal slaughtered chicken, respectively.5. The methods used may be employed by the food safety and regulatory agencies for regular screening of meat quality and to authenticate CS or HS chicken.
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Affiliation(s)
- B M Belore
- Department of Livestock Products Technology, College of Veterinary Sciences and Animal Husbandry CAU, Aizwal, India
| | - N B Maheswarappa
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
| | - V V Kulkarni
- Department of Livestock Products Technology, College of Veterinary Sciences and Animal Husbandry CAU, Aizwal, India
| | - R Banerjee
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
| | - P Hazarika
- Department of Livestock Products Technology, College of Veterinary Sciences and Animal Husbandry CAU, Aizwal, India
| | - S Dasoju
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
| | - B P Mishra
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
| | - P M Govindaiah
- Meat Proteomics Lab, ICAR-National Research Centre on Meat, Hyderabad, India
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Windarsih A, Bakar NKA, Dachriyanus, Yuliana ND, Riswanto FDO, Rohman A. Analysis of Pork in Beef Sausages Using LC-Orbitrap HRMS Untargeted Metabolomics Combined with Chemometrics for Halal Authentication Study. Molecules 2023; 28:5964. [PMID: 37630216 PMCID: PMC10459517 DOI: 10.3390/molecules28165964] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/21/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
Beef sausage (BS) is one of the most favored meat products due to its nutrition and good taste. However, for economic purposes, BS is often adulterated with pork by unethical players. Pork consumption is strictly prohibited for religions including Islam and Judaism. Therefore, advanced detection methods are highly required to warrant the halal authenticity of BS. This research aimed to develop a liquid chromatography-high-resolution mass spectrometry (LC-HRMS) method to determine the halal authenticity of BS using an untargeted metabolomics approach. LC-HRMS was capable of detecting various metabolites in BS and BS containing pork. The presence of pork in BS could be differentiated using principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) with high accuracy. PLS-DA perfectly classified authentic BS and BS containing pork in all concentration levels of pork with R2X = (0.821), R2Y(= 0.984), and Q2 = (0.795). The level of pork in BS was successfully predicted through partial least squares (PLS) and orthogonal PLS (OPLS) chemometrics. Both models gave high R2 (>0.99) actual and predicted values as well as few errors, indicating good accuracy and precision. Identification of discriminating metabolites' potential as biomarker candidates through variable importance for projections (VIP) value revealed metabolites of 2-arachidonyl-sn-glycero-3-phosphoethanolamine, 3-hydroxyoctanoylcarnitine, 8Z,11Z,14Z-eicosatrienoic acid, D-(+)-galactose, oleamide, 3-hydroxyhexadecanoylcarnitine, arachidonic acid, and α-eleostearic acid as good indicators to detect pork. It can be concluded that LC-HRMS metabolomics combined with PCA, PLS-DA, PLS, and OPLS was successfully used to detect pork adulteration in beef sausages. The results imply that LC-HRMS untargeted metabolomics in combination with chemometrics is a promising alternative as an analytical technique to detect pork in sausage products. Further analysis of larger samples is required to warrant the reproducibility.
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Affiliation(s)
- Anjar Windarsih
- Department of Chemistry, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (A.W.); (N.K.A.B.)
- Research Center for Food Technology and Processing (PRTPP), National Research and Innovation Agency (BRIN), Yogyakarta 55861, Indonesia
| | - Nor Kartini Abu Bakar
- Department of Chemistry, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (A.W.); (N.K.A.B.)
| | - Dachriyanus
- Faculty of Pharmacy, Andalas University, Padang 25175, Indonesia;
| | - Nancy Dewi Yuliana
- Department of Food Science and Technology, IPB University, Bogor 16680, Indonesia;
- Halal Science Center, IPB University, Bogor 16129, Indonesia
| | - Florentinus Dika Octa Riswanto
- Division of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Campus III Paingan, Universitas Sanata Dharma, Yogyakarta 55282, Indonesia;
| | - Abdul Rohman
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
- Center of Excellence, Institute for Halal Industry and Systems (PUIPT-IHIS), Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
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Hossain MM, Zainal Abidin SAS, Bujang A, Taib MN, Sagadevan S, Johan MR, Ahmad Nizar NN. TaqMan multiplex qPCR for detecting animal species in meat and meat products: Development, recent advances and future prospects. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Suratno, Windarsih A, Warmiko HD, Khasanah Y, Indrianingsih AW, Rohman A. Metabolomics and Proteomics Approach Using LC-Orbitrap HRMS for the Detection of Pork in Tuna Meat for Halal Authentication. FOOD ANAL METHOD 2023. [DOI: 10.1007/s12161-023-02472-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
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Song D, Peng J, Zhao X, Wu H, Zheng G, Zhao Y, Jiang Y, Sheng X, Guo M, Tan Z. Quality and safety profiles of Chlamys farreri cultured in the Shandong peninsula: Analysis of nutritional content, flavor, and hazards. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2023.105193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Detection of Pork in Beef Meatballs Using LC-HRMS Based Untargeted Metabolomics and Chemometrics for Halal Authentication. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27238325. [PMID: 36500423 PMCID: PMC9740294 DOI: 10.3390/molecules27238325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 11/18/2022] [Accepted: 11/24/2022] [Indexed: 12/05/2022]
Abstract
Adulteration of high-quality meat products using lower-priced meats, such as pork, is a crucial issue that could harm consumers. The consumption of pork is strictly forbidden in certain religions, such as Islam and Judaism. Therefore, the objective of this research was to develop untargeted metabolomics using liquid chromatography-high resolution mass spectrometry (LC-HRMS) combined with chemometrics for analysis of pork in beef meatballs for halal authentication. We investigated the use of non-targeted LC-HRMS as a method to detect such food adulteration. As a proof of concept using six technical replicates of pooled samples from beef and pork meat, we could show that metabolomics using LC-HRMS could be used for high-throughput screening of metabolites in meatballs made from beef and pork. Chemometrics of principal component analysis (PCA) was successfully used to differentiate beef meatballs and pork meatball samples. Partial least square-discriminant analysis (PLS-DA) clearly discriminated between halal and non-halal beef meatball samples with 100% accuracy. Orthogonal projection to latent structures-discriminant analysis (OPLS-DA) perfectly discriminated and classified meatballs made from beef, pork, and a mixture of beef-pork with a good level of fitness (R2X = 0.88, R2Y = 0.71) and good predictivity (Q2 = 0.55). Partial least square (PLS) and orthogonal PLS (OPLS) were successfully applied to predict the concentration of pork present in beef meatballs with high accuracy (R2 = 0.99) and high precision. Thirty-five potential metabolite markers were identified through VIP (variable important for projections) analysis. Metabolites of 1-(1Z-hexadecenyl)-sn-glycero-3-phosphocholine, acetyl-l-carnitine, dl-carnitine, anserine, hypoxanthine, linoleic acid, and prolylleucine had important roles for predicting pork in beef meatballs through S-line plot analysis. It can be concluded that a combination of untargeted metabolomics using LC-HRMS and chemometrics is promising to be developed as a standard analytical method for halal authentication of highly processed meat products.
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The Therapeutic Effect and the Potential Mechanism of Flavonoids and Phenolics of Moringa oleifera Lam. Leaves against Hyperuricemia Mice. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27238237. [PMID: 36500329 PMCID: PMC9738809 DOI: 10.3390/molecules27238237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/18/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022]
Abstract
The aim of this study is to evaluate the anti-hyperuricemia effect and clarify the possible mechanisms of flavonoids and phenolics of MOL (MOL-FP) in mice. Hyperuricemia mice were generated via intraperitoneal (i.p.) administration of potassium oxonate (PO) and oral gavage (p.o.) of hypoxanthine (HX). Serum uric acid (UA), weight, serum XO activity, hepatic XO activity, urea nitrogen (BUN), creatinine (CRE), serum AST level, serum ALT level, mRNA expression of renal urate-anion transporter 1 (URAT1), glucose transporter 9 (GLUT9), organic anion transporters 1 (OAT1), organic anion transporters 3 (OAT3), and ATP-binding cassette transporter G2 (ABCG2) were determined. The molecular docking was conducted using AutoDock Vina 1.2.0 to screen potential XO inhibitors in MOL-FP. Serum metabolomics was established to collect the metabolic profiles of mice and explore the metabolic changes that occurred after MOL-FP treatment. MOL-FP could notably reduce the serum UA level of hyperuricemia mice by inhibiting XO activity and regulating renal urate transporters. Molecular docking studies indicated that 5-p-coumaroylquinic acid, 3-p-coumaroylquinic acid, and catechin could be potential XO inhibitors. Besides, MOL-FP prevented the pathological process of hyperuricemia by regulating biomarkers associated with purine metabolism, amino acid metabolism, and lipid metabolism.
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Kang C, Zhang Y, Zhang M, Qi J, Zhao W, Gu J, Guo W, Li Y. Screening of specific quantitative peptides of beef by LC-MS/MS coupled with OPLS-DA. Food Chem 2022; 387:132932. [PMID: 35421655 DOI: 10.1016/j.foodchem.2022.132932] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 12/14/2022]
Abstract
A rapid, simple, and efficient analysis methodology for screening specific quantitative peptides of beef was established based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) coupled with orthogonal partial least squares-discriminant analysis (OPLS-DA). The OPLS-DA model was built to select species-specific peptides that make a significant contribution to classification. Peptides with statistical significance were selected based on the variable importance in the projection (VIP) values and univariate P values. After the workflow of the statistical process, three specific quantitative peptides were identified by using homemade products with different beef contents. A quantification method for selected specific quantitative peptides was established by using LC-MS/MS. The quantitative results were applied to commercialized beef products. The developed method has high sensitivity, specificity, and repeatability. The results of this study proved that the integration of LC-MS/MS coupled with OPLS-DA is an efficient method for screening specific quantitative peptides and identification of the authenticity of meat products.
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Affiliation(s)
- Chaodi Kang
- China Meat Research Center, 100068 Beijing, China
| | | | | | - Jing Qi
- China Meat Research Center, 100068 Beijing, China
| | - Wentao Zhao
- China Meat Research Center, 100068 Beijing, China
| | - Jin Gu
- China Meat Research Center, 100068 Beijing, China
| | - Wenping Guo
- China Meat Research Center, 100068 Beijing, China
| | - Yingying Li
- China Meat Research Center, 100068 Beijing, China.
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Shikh Zahari SMSN, Mohamed Ali NS, Zabidi AR, Rosli D, Abdul Manap MN, Yahaya N. Influence of neck slaughtering in broiler chicken meat on physicochemical analysis and metabolites ‘fingerprinting’ to enhance meat quality. ARAB J CHEM 2021. [DOI: 10.1016/j.arabjc.2021.103042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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