Simple Thermal Analysis as a Green Method for the Detection of Meat Adulteration
Ilma Nugrahani(1), Aditya Aditya(2*)
(1) School of Pharmacy and Halal Center Study, Bandung Institute of Technology, Jl. Ganesha No. 10, Bandung 40132, Indonesia
(2) Master’s Program School of Pharmacy, Bandung Institute of Technology, Jl. Ganesha No. 10, Bandung 40132, Indonesia; Study Program of Pharmacy, Faculty of Health Sciences and Pharmacy, University of Gunadarma, Jl. Margonda Raya No. 100, Depok 16424, Indonesia
(*) Corresponding Author
Abstract
Differential scanning calorimetry (DSC) is one of the most widely developed thermal analysis methods for meat samples for halal authentication of food or processed products. Research on adulteration detection for various types of meat and its derivatives has been developed before and still requires organic solvents. Therefore, the concept of the "green method" is being tried to develop in this research. DSC analyses are performed in the same experimental conditions for all sample powder: sample mass 2 mg, temperature range 30–400 °C, and heating rate 20 °C min−1. The results showed there is a characteristic minor endothermic peak for each meat. Chemometric analysis was carried out using the principal component analysis (PCA) method to ensure that the thermal characteristics of each meat were utterly different in both pure and mixed meat. The results of this analysis indicate that each pure meat has a different score plot. Therefore, the developed thermal analysis method is quite reliable in determining the different types of meat based on the characteristic minor endothermic peak in the thermogram and the score plot from PCA analysis.
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[1] Pointing, J., Al-Teinaz, Y.R., Lever, J., Critchley, M., and Spear, S., 2020, "Food Fraud" in The Halal Food Handbook, Eds. Al-Teinaz, Y.R., Spear, S., and Abd El-Rahim, I.H.A., Wiley-Blackwell, Hoboken, New Jersey, US, 321–329.
[2] Mortas, M., Awad, N., and Ayvaz, H., 2022, Adulteration detection technologies used for halal/kosher food products: An overview, Discover Food, 2 (1), 15.
[3] Ballin, N.Z., Vogensen, F.K., and Karlsson, A.H., 2009, Species determination - Can we detect and quantify meat adulteration?, Meat Sci., 83 (2), 165–174.
[4] Rahman, M.M., Ali, M.E., Abd Hamid, S.B., Mustafa, S., Hashim, U., and Hanapi, U.K., 2014, Polymerase chain reaction assay targeting cytochrome b gene for the detection of dog meat adulteration in meatball formulation, Meat Sci., 97 (4), 404–409.
[5] Rohman, A., Rahayu, W.S., Sudjadi, S., and Martono, S., 2021, The Use of real-time polymerase chain reaction combined with specific-species primer for analysis of dog meat DNA in meatball, Indones. J. Chem., 21 (1), 225–233.
[6] Chen, X., Lu, L., Xiong, X., Xiong, X., and Liu, Y., 2020, Development of a real-time PCR assay for the identification and quantification of bovine ingredient in processed meat products, Sci. Rep., 10 (1), 2052.
[7] Tao, D., Xiao, X., Lan, X., Xu, B., Wang, Y., and Khazalwa, E.M., 2022, An inexpensive CRISPR-based point-of-care test for the identification of meat species and meat products, Genes, 13 (5), 912.
[8] Babu, N.S., and Reddy, S.M., 2014, Impact of solvents leading to environmental pollution, J. Chem. Pharm. Sci., Special Issue 3, 49–52.
[9] Nugrahani, I., 2021, Sustainable pharmaceutical preparation methods and solid-state analysis supporting green pharmacy, Curr. Pharm. Anal., 17 (8), 969–982.
[10] Wu, D., Wang, S., Wang, N., Nie, P., He, Y., Sun, D.W., and Yao, J., 2013, Application of time series hyperspectral imaging (TS-HSI) for determining water distribution within beef and spectral kinetic analysis during dehydration, Food Bioprocess Technol., 6 (11), 2943–2958.
[11] Bampi, M., Schmidt, F.C., and Laurindo, J.B., 2019, A fast drying method for the production of salted-and-dried meat, Food Sci. Technol., 39 (Suppl. 2), 526–534.
[12] Ren, Y., and Sun, D.W., 2022, Monitoring of moisture contents and rehydration rates of microwave vacuum and hot air dehydrated beef slices and splits using hyperspectral imaging, Food Chem., 382, 132346.
[13] Gill, P., Moghadam, T.T., and Ranjbar, B., 2010, Differential scanning calorimetry techniques: Applications in biology and nanoscience, J. Biomol. Tech., 21 (4), 167–193.
[14] USP, 2021, <1225> Validation of Compendial Procedures, USP 35, 877–882.
[15] ICH, 2022, Validation of Analytical Procedures Q2(R2), European Medicines Agency, Amsterdam, Netherlands, 1–34.
[16] Savanović, D., Grujić, R., Rakita, S., Torbica, A., and Bozičković, R., 2017, Melting and crystallization DSC profiles of different types of meat, Chem. Ind. Chem. Eng. Q., 23 (4), 473–481.
[17] Cobos, A., and Diaz, O., 2015, “Chemical Composition of Meat and Meat Products” in Handbook of Food Chemistry, Eds. Cheung, P.C.K., and Mehta, B.M., Springer, Heidelberg, Germany, 471–510.
[18] Kovácsné Oroszvári, B., Bayod, E., Sjöholm, I., and Tornberg, E., 2006, The mechanisms controlling heat and mass transfer on frying of beefburgers. III. Mass transfer evolution during frying, J. Food Eng., 76 (2), 169–178.
[19] Pathare, P.B., and Roskilly, A.P., 2016, Quality and energy evaluation in meat cooking, Food Eng. Rev., 8 (4), 435–447.
[20] U.S. Department of Agriculture (USDA), 2013, Water in Meat & Poultry, Food Safety and Inspection Service, https://www.fsis.usda.gov/food-safety/safe-food-handling-and-preparation/food-safety-basics/water-meat-poultry.
[21] Li, X., Xie, X., Zhang, C., Zhen, S., and Jia, W., 2017, Role of mid- and far-infrared for improving dehydration efficiency in beef jerky drying, Drying Technol., 36 (3), 283–293.
[22] Talik, P., Żuromska-Witek, B., Hubicka, U., and Krzek, J., 2017, The use of the DSC method in quantification of active pharmaceutical ingredients in commercially available one component tablets, Acta Pol. Pharm., 74 (4), 1049–1055.
[23] Azir, M., Abbasiliasi, S., Tengku Ibrahim, T.A., Abdul Manaf, Y.N., Sazili, A.Q., and Mustafa, S., 2017, Detection of lard in cocoa butter—Its fatty acid composition, triacylglycerol profiles, and thermal characteristics, Foods, 6 (11), 98.
[24] AOAC, 2016, Appendix F: Guidelines for Standard Method Performance Requirements, AOAC International, Gaithersburg, MD, 1–18.
[25] Agafonkina, I.V., Korolev, I.A., and Sarantsev, T.A., 2019, The study of thermal denaturation of beef, pork, chicken and turkey muscle proteins using differential scanning calorimetry, Theory Pract. Meat Process., 4 (3), 19–23.
[26] Pointing, J., 2020, “The Legal Framework of General Food Law and the Stunning of Animals Prior to Slaughter” in The Halal Food Handbook, Eds. Al-Teinaz, Y.R., Spear, S., and Abd El-Rahim, I.H.A., Wiley-Blackwell, Hoboken, New Jersey, US, 271–281.
[27] Weiss, I.M., Muth, C., Drumm, R., and Kirchner, H.O.K., 2018, Thermal decomposition of the amino acids glycine, cysteine, aspartic acid, asparagine, glutamic acid, glutamine, arginine and histidine, BMC Biophys., 11 (1), 2.
[28] Nurrulhidayah, A.F., Arieff, S.R., Rohman, A., Amin, I., Shuhaimi, M., and Khatib, A., 2015, Detection of butter adulteration with lard using differential scanning calorimetry, Int. Food Res. J., 22 (2), 832–839.
[29] Guntarti, A., Rohman, A., Martono, S., and Yuswanto, A., 2017, Authentication of wild boar meat in meatball formulation using differential scanning calorimetry and chemometrics, J. Food Pharm. Sci., 5, 8–12.
[30] Dahimi, O., Abdul Rahim, A., Abdulkarim, S.M., Hassan, M.S., Zam Hashari, S., Siti Mashitoh, A., and Saadi, S., 2014, Multivariate statistical analysis treatment of DSC thermal properties for animal fat adulteration, Food Chem., 158, 132–138.
[31] Miller, J.N., and Miller, J.C., 2010, Statistics and Chemometrics for Analytical Chemistry, 6th Ed., Prentice Hall, Hoboken, New Jersey, US.
[32] Sulistiawan, A., Setyaningsih, W., and Rohman, A., 2022, A new FTIR method combined with multivariate data analysis for determining aflatoxins in peanuts (Arachis hypogaea), J. Appl. Pharm. Sci., 12 (7), 199–206.
DOI: https://doi.org/10.22146/ijc.79201
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