Halal Authentication of Gelatin: A Bibliometric Review of FTIR Spectroscopy and PCR Techniques
DOI:
https://doi.org/10.33102/mjosht.567Keywords:
Gelatin, bibliometric, halal, FTIR, PCRAbstract
This research provides an overview of a bibliometric analysis of research on halal authentication of gelatin, with particular focus on the application of Fourier Transform Infrared (FTIR) spectroscopy as well as Polymerase Chain Reaction (PCR) techniques. The analysis was conducted using 71 journal articles retrieved from the Scopus database, covering the period from 2012 to 2025. VOSviewer software was used to analyse publication trends, citation patterns, keyword co-occurrence, and international collaboration among countries. The results indicate that research activity in this field has gradually increased over time, with a notable rise in publications in recent years, reflecting growing global interest in halal verification and food authenticity. Citation analysis shows that the most influential studies primarily focus on the development of FTIR and PCR-based analytical methods for detecting and identifying gelatin sources. Keyword co-occurrence analysis reveals two dominant research themes, namely spectroscopic analysis using FTIR and molecular detection using PCR techniques. In terms of geographical contribution, Indonesia and Malaysia emerged as the leading countries in publication output. At the same time, the co-authorship network demonstrates regional collaboration primarily among countries in Asia and the Middle East. Overall, the findings highlight the increasing importance of reliable analytical methods and international collaboration in strengthening halal authentication research and supporting the development of effective halal assurance systems.
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[1] Hassan, H. M., Souka, U. D., & Hassan, S. M. (2025). Differentiation and quantification of bovine and pork gelatin using UPLC-QTOF and ATR-FTIR spectroscopy: Addressing challenges in mixed gelatin analysis and detection. Food Chemistry, 464, 1-8. https://doi.org/10.1016/j.foodchem.2024.141883
[2] Nazri, M. Z., Kamal, A. J., Abd Rashid, S. N. A., Raehan, R., Mustafa, H. A. A., Sani, M. S. A., & Abang, D. N. (2025). Preliminary analysis of standard animal gelatines through FTIR-ATR spectroscopy coupled with multivariate data analysis and pattern recognition for halal verification. Malaysian Journal of Analytical Science, 29(4), 1-14.
[3] Siska, S., Jumadil, M. I., Abdullah, S., Ramadon, D., & Mun’im, A. (2023). ATR-FTIR and chemometric method for the detection of pig-based derivatives in food products-A review. International Food Research Journal, 30(2), 281-289. https://doi.org/10.47836/ifrj.30.2.01
[4] Hameed, A. M., Asiyanbi-H, T., Idris, M., Fadzillah, N., & Mirghani, M. E. S. (2018). A review of gelatin source authentication methods. Tropical Life Sciences Research, 29(2), 213–227. https://doi.org/10.21315/tlsr2018.29.2.15
[5] Harlina, P. W., Maritha, V., Geng, F., Nawaz, A., Yuliana, T., Subroto, E., ... & Huda, S. (2024). Comprehensive review on the application of omics analysis coupled with Chemometrics in gelatin authentication of food and pharmaceutical products. Food Chemistry: X, 23, 101710. https://doi.org/10.1016/j.fochx.2024.101710
[6] Sari, M. N., Sophian, A., Nawwaruddin, H. H., Rumiyati, R., & Rohman, A. (2025). Detection of porcine DNA in cosmetic products using real-time PCR method: A review of method and applications. Journal of Food and Pharmaceutical Sciences, 13(2), 47-66. https://doi.org/10.22146/jfps.20332
[7] Lubis, H., Salihah, N. T., Hossain, M. M., & Ahmed, M. U. (2017). Development of fast and sensitive real-time qPCR assay based on a novel probe for detection of porcine DNA in food sample. LWT, 84, 686-692. https://doi.org/10.1016/j.lwt.2017.06.043
[8] Tasrip, N. A., Mohd Desa, M. N., Khairil Mokhtar, N. F., Sajali, N., Mohd Hashim, A., Ali, M. E., & Kqueen, C. Y. (2021). Rapid porcine detection in gelatin-based highly processed products using loop mediated isothermal amplification. Journal of food science and technology, 58(12), 4504–4513. https://doi.org/10.1007/s13197-020-04932-2
[9] Kang, S. S. N., Lee, H. G., & Kim, H. (2018). Development and comparison of a porcine gelatin detection system targeting mitochondrial markers for Halal authentication. LWT, 97, 697-702. https://doi.org/10.1016/j.lwt.2018.07.062
[10] Rahma, A. A., Meilani, N. D., Ainaputri, A. S., Damara, D. S., & Malau, J. (2025). Development of a gelatin-based genomic reference material for halal authentication using real-time PCR. Science and Technology Indonesia, 10(1), 27-42. https://doi.org/10.26554/sti.2025.10.1.27-42
[11] Hameed, A. M., Asiyanbi-H, T., Idris, M., Fadzillah, N., & Mirghani, M. E. S. (2018). A review of gelatin source authentication methods. Tropical Life Sciences Research, 29(2), 213-227. https://doi.org/10.21315/tlsr2018.29.2.15
[12] Harlina, P. W., Maritha, V., Shahzad, R., Rafi, M., Geng, F., Musfiroh, I., ... & Amalina, N. I. N. (2024). Comprehensive profiling and authentication of porcine, bovine, and goat bone gelatins through UHPLC-HRMS metabolomics and chemometric strategies. LWT, 205, 1-10. https://doi.org/10.1016/j.lwt.2024.116529
[13] Mahmudah, K. R., Biddinika, M. K., Hakika, D. C., Tresna, W. P., Sugiarto, I. T., & Syafarina, I. (2025). Automated detection of porcine gelatin using deep learning-based e-nose to support Halal authentication. Journal of Electronics, Electromedical Engineering, and Medical Informatics, 7(1), 220-230. https://doi.org/10.35882/jeeemi.v7i1.654
[14] Verbeek A., Debackere K., Luwel M., Zimmermann E. (2002). Measuring progress and evolution in science and technology – I: the multiple uses of bibliometric indicators. International Journal of Management Reviews, 4(2), 179–211. https://doi.org/10.1111/1468-2370.00083
[15] Hu, X., Gu, H., Tang, Y., & Wang, B. (2024). Mapping the field: A bibliometric literature review on technology mining. Heliyon, 10(1), e23458. https://doi.org/10.1016/j.heliyon.2023.e23458
[16] Fahimnia, B., Sarkis, J., & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101-114. https://doi.org/10.1016/j.ijpe.2015.01.003
[17] Meier, M. (2011). Knowledge management in strategic alliances: A review of empirical evidence. International Journal of Management Reviews, 13(1), 1-23. https://doi.org/10.1111/j.1468-2370.2010.00287.x
[18] Di Stefano, G., Peteraf, M., & Verona, G. (2010). Dynamic capabilities deconstructed: A bibliographic investigation into the origins, development, and future directions of the research domain. Industrial and Corporate Change, 19(4), 1187–1204. https://doi.org/10.1093/icc/dtq027
[19] Tan, J., Fu, H. Z., & Ho, Y. S. (2014). A bibliometric analysis of research on proteomics in science citation index expanded. Scientometrics, 98(2), 1473-1490. https://doi.org/10.1007/s11192-013-1125-2
[20] Aghaee Chadegani, A., Salehi, H., Yunus, M., Farhadi, H., Fooladi, M., Farhadi, M., & Ale Ebrahim, N. (2013). A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian Social Science, 9(5), 18–18. https://doi.org/10.5539/ass.v9n5p18
[21] Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). Bibliometric analysis in business research: A guide to methods and applications. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
[22] Zupic, I., & Čater, T. (2014). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
[23] Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer,a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
[24] Appio, F. P., Cesaroni, F., & Di Minin, A. (2014). Visualizing the structure and bridges of the intellectual property management and strategy literature: A document co-citation analysis. Scientometrics, 101, 623-661. https://doi.org/10.1007/s11192-014-1329-0
[25] Van Eck, N. J., & Waltman, L. (2007). VOS: A new method for visualizing similarities between objects. In H.-J. Lenz & R. Decker (Eds.), Advances in data analysis: Proceedings of the 30th Annual Conference of the German Classification Society (pp. 299–306). Springer. https://doi.org/10.1007/978-3-540-70981-7_34
[26] Appio, F. P., Martini, A., Massa, S., & Testa, S. (2016). Unveiling the intellectual origins of social media-based innovation: Insights from a bibliometric approach. Scientometrics, 108, 355-388. https://doi.org/10.1007/s11192-016-1955-9
[27] Zhao, X. (2017). A scientometric review of global BIM research, analysis and visualisation. Automation in Construction, 80, 37-47. https://doi.org/10.1016/j.autcon.2017.04.002
[28] Li, F., Nucciarelli, A., Roden, S., & Graham, G. (2016). How smart cities transform operations models: A new research agenda for operations management in the digital economy. Production Planning & Control, 27(6), 514–528. https://doi.org/10.1080/09537287.2016.1147096
[29] Öberg, C. (2023). Neuroscience in business-to-business marketing research: A literature review, co-citation analysis and research agenda. Industrial Marketing Management, 113, 168–179. https://doi.org/10.1016/j.indmarman.2023.05.005
[30] Trujillo, C. M., & Long, T. M. (2018). Document co-citation analysis to enhance transdisciplinary research. Science advances, 4(1), e1701130. https://doi.org/10.1126/sciadv.1701130
[31] Zupic, I., & Čater, T. (2014).Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
[32] Çebi, N., Dogan, C. E., Meşe, A. E., Özdemir, D., Arıcı, M., & Sagdic, O. (2019). A rapid ATR-FTIR spectroscopic method for classification of gelatin gummy candies in relation to the gelatin source. Food Chemistry, 277, 373-381. https://doi.org/10.1016/j.foodchem.2018.10.125
[33] Demirhan, Y., Ulca, P., & Senyuva, H. Z. (2012). Detection of porcine DNA in gelatine and gelatine-containing processed food products—Halal/Kosher authentication. Meat Science, 90(3), 686-689. https://doi.org/10.1016/j.meatsci.2011.10.014
[34] Sow, L. C., Kong, K., & Yang, H. (2018). Structural modification of fish gelatin by the addition of gellan, κ‐carrageenan, and salts mimics the critical physicochemical properties of pork gelatin. Journal of Food Science, 83(5), 1280-1291. https://doi.org/10.1111/1750-3841.14123
[35] Shabani, H., Mehdizadeh, M., Mousavi, S. M., Dezfouli, E. A., Solgi, T., Khodaverdi, M., ... & Alebouyeh, M. (2015). Halal authenticity of gelatin using species-specific PCR. Food Chemistry, 184, 203-206. https://doi.org/10.1016/j.foodchem.2015.02.140
[36] Hamdan, M. A., Ramli, N. A., Othman, N. A., Mohd Amin, K. N., & Adam, F. (2021). Characterization and property investigation of microcrystalline cellulose (MCC) and carboxymethyl cellulose (CMC) filler on the carrageenan-based biocomposite film. Materials Today: Proceedings, 42(Part 1), 56–62. https://doi.org/10.1016/j.matpr.2020.12.105
[37] Rohman, A., & Che Man, Y. B. (2012). Analysis of pig derivatives for halal authentication studies. Food reviews international, 28(1), 97-112. https://doi.org/10.1080/87559129.2011.595862
[38] Rohman, A., Windarsih, A., Erwanto, Y., & Zakaria, Z. (2020). Review on analytical methods for analysis of porcine gelatine in food and pharmaceutical products for halal authentication. Trends in Food Science & Technology, 101, 122–132. https://doi.org/10.1016/j.tifs.2020.05.008
[39] Sultana, S., Hossain, M. M., Zaidul, I. S. M., & Ali, M. E. (2018). Multiplex PCR to discriminate bovine, porcine, and fish DNA in gelatin and confectionery products. LWT, 92, 169-176. https://doi.org/10.1016/j.lwt.2018.02.019
[40] Rohman, A., & Windarsih, A. (2020). The Application of Molecular Spectroscopy in Combination with Chemometrics for Halal Authentication Analysis: A Review. International Journal of Molecular Sciences, 21(14), 5155. https://doi.org/10.3390/ijms21145155
[41] Abd Mutalib, S., Muin, N. M., Abdullah, A., Hassan, O., Mustapha, W. A. W., Sani, N. A., & Maskat, M. Y. (2015). Sensitivity of polymerase chain reaction (PCR)-southern hybridization and conventional PCR analysis for Halal authentication of gelatin capsules. LWT-Food Science and Technology, 63(1), 714-719. https://doi.org/10.1016/j.lwt.2015.03.006
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Copyright (c) 2026 Norliyana Nordin, Shahrina Ismail, Norlelawati Arifin, Maryam Mohamed Rehan, Mohamad Azhan Yahya

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