Global trends in halal food detection

Authors

  • Anni Faridah Universitas Negeri Padang, Faculty of Tourism and Hospitality, Department of Tourism and Hospitality, Jl. Prof. Dr. Hamka, Air Tawar Barat, Kec. North Padang, Padang City, West Sumatra 25171, Indonesia, Tel.: +62 811-6650-258
  • Adrian Arif Universitas Negeri Padang, Faculty of Tourism and Hospitality, Department of Tourism and Hospitality, Jl. Prof. Dr. Hamka, Air Tawar Barat, Kec. North Padang, Padang City, West Sumatra 25171, Indonesia, Tel.: +62 812-6696-2425 https://orcid.org/0000-0002-1235-3677
  • Durain Parmanoan Universitas Negeri Padang, Faculty of Engineering, Mechanical Engineering Department, Jl. Prof. Dr. Hamka, Air Tawar Barat, Kec. North Padang, Padang City, West Sumatra 25171, Indonesia, Tel.: +62 813-6384-6058 https://orcid.org/0009-0000-2438-5150
  • Ruhul Fitri Rosel Universitas Negeri Padang, Faculty of Tourism and Hospitality, Department of Tourism and Hospitality, Jl. Prof. Dr. Hamka, Air Tawar Barat, Kec. North Padang, Padang City, West Sumatra 25171, Indonesia, Tel.: +6281277611382 https://orcid.org/0009-0005-1145-810X
  • Abror Abor Universitas Negeri Padang, Faculty Of Economics And Business, Management Study Program, Jl. Prof. Dr. Hamka, Air Tawar Barat, Kec. North Padang, Padang City, West Sumatra 25171, Indonesia, Tel.: +62 812-7737-1977 https://orcid.org/0000-0002-6061-1597
  • Asmar Yulastri Universitas Negeri Padang, Faculty of Tourism and Hospitality, Department of Tourism and Hospitality, Jl. Prof. Dr. Hamka, Air Tawar Barat, Kec. North Padang, Padang City, West Sumatra 25171, Indonesia, Tel.: +62 812-6617-208
  • Nurul Huda Faculty of Sustainable Agriculture, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia, Tel.: +60 12-484 3144 https://orcid.org/0000-0001-9867-6401

DOI:

https://doi.org/10.5219/2018

Keywords:

Global Trends, Halal Food Detection, halal

Abstract

The growth of the halal food industry has had a positive impact on the global economy. Unfortunately, halal food adulteration is a prevalent issue that has prompted researchers to develop new tools for halal food detection. This study aimed to examine the trends in halal food detection tools. To achieve this, we conducted a global trend analysis of halal food detection tools by reviewing their development, assessing research reference relationships, and identifying future research directions. This study utilised 170 articles published between 2006 and 2024 that focused on halal food detection tools. This study employed both qualitative and quantitative methods using bibliometric analysis. Biblioshiny and Vos Viewer software were used for data analysis. Polymerase Chain Reaction (PCR) has emerged as the most widely used halal food detection tool. Among these institutions, Universiti Putra Malaysia produced the largest number of publications. Malaysia and Indonesia conducted the most research and were frequently cited as references. Rohman was the author with the highest number of citations (277). The goal of this bibliometric analysis was to provide valuable scientific insights that will support future research in the field of halal food detection. Additional studies are strongly recommended to develop more effective tools for halal food detection.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Azam, M. S. E., & abdullah, M. A. (2020). Global halal industry: realities and opportunities. In International Journal of Islamic Business Ethics (Vol. 5, Issue 1, p. 47). Universitas Islam Sultan Agung. https://doi.org/10.30659/ijibe.5.1.47-59 DOI: https://doi.org/10.30659/ijibe.5.1.47-59

Yuli, S. B. C., & Wojtyla, E. (2020). Challenges and strategies in developing human resources for the halal industry: Evidence from Indonesia. In Journal of Innovation in Business and Economics (Vol. 4, Issue 02, pp. 77–86). Universitas Muhammadiyah Malang. https://doi.org/10.22219/jibe.v4i02.8270 DOI: https://doi.org/10.22219/jibe.v4i02.8270

Ruhaeni, N., & Aqimuddin, E. an. (2023). Halal food certification as an exception clause under the rule of the WTO-GATT: An Indonesia experience. In Cogent Social Sciences (Vol. 9, Issue 2). Informa UK Limited. https://doi.org/10.1080/23311886.2023.2260160 DOI: https://doi.org/10.1080/23311886.2023.2260160

Warto, W., & Samsuri, S. (2020). Sertifikasi Halal dan Implikasinya Bagi Bisnis Produk Halal di Indonesia. In Al Maal: Journal of Islamic Economics and Banking (Vol. 2, Issue 1, p. 98). Universitas Muhammadiyah Tangerang. https://doi.org/10.31000/almaal.v2i1.2803 DOI: https://doi.org/10.31000/almaal.v2i1.2803

Nyagadza, B. (2022). Search engine marketing and social media marketing predictive trends. In Journal of Digital Media & Policy (Vol. 13, Issue 3, pp. 407–425). Intellect. https://doi.org/10.1386/jdmp_00036_1 DOI: https://doi.org/10.1386/jdmp_00036_1

Büyükkidik, S. (2022). A Bibliometric Analysis: A Tutorial for the Bibliometrix Package in R Using IRT Literature. In Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi (Vol. 13, Issue 3, pp. 164–193). Egitimde ve Psikolojide Olcme ve Degerlendirme Dergisi. https://doi.org/10.21031/epod.1069307 DOI: https://doi.org/10.21031/epod.1069307

L. Marlina, A. S. Rusydiana, P. Hidayat, and N. Firdaus, "Twenty years of Islamic banking in Indonesia: A bibliophily application," Libr. Philos. Pract., vol. 4999, 2021. Available at: https://digitalcommons.unl.edu/libphilprac/4999?utm_source=digitalcommons.unl.edu%2Flibphilprac%2F4999&utm_medium=PDF&utm_campaign=PDFCoverPages

Rohman, K. Triyana, S. Sismindari, and Y. Erwanto, “Differentiation of lard and other animal fats based on triacylglycerols composition and principal component analysis.,” 2012. Available at: http://www.ifrj.upm.edu.my/19%20(02)%202012/(14)IFRJ-2012%20Rohman.pdf

Wood, J. D., Enser, M., Fisher, A. V., Nute, G. R., Sheard, P. R., Richardson, R. I., Hughes, S. I., & Whittington, F. M. (2008). Fat deposition, fatty acid composition, and meat quality: A review. In Meat Science (Vol. 78, Issue 4, pp. 343–358). Elsevier BV. https://doi.org/10.1016/j.meatsci.2007.07.019 DOI: https://doi.org/10.1016/j.meatsci.2007.07.019

Hoffmann, B., Münch, S., Schwägele, F., Neusüß, C., & Jira, W. (2017). A sensitive HPLC-MS/MS screening method for the simultaneous detection of lupine, pea, and soy proteins in meat products. In Food Control (Vol. 71, pp. 200–209). Elsevier BV. https://doi.org/10.1016/j.foodcont.2016.06.021 DOI: https://doi.org/10.1016/j.foodcont.2016.06.021

N. H. Harun, M. A. N. H. Abdullah, M. S. Mohd Ashmir Wong, N. Mamat, and S. Moidin, “Halal training: issues and challenges from trainers’ perspectives in Halal Products Research Institute (HPRI),” 2021. Available at: https://ir.uitm.edu.my/id/eprint/54252

S. S. Bahri and Y. B. Che Man, “Rapid detection of lard in chocolate and chocolate-based food products using Fourier transform infrared spectroscopy.,” 2016. https://doi.org/10.1016/j.foodchem.2004.05.029 DOI: https://doi.org/10.1016/j.foodchem.2004.05.029

Aida, A. A., Che Man, Y. B., Wong, C. M. V. L., Raha, A. R., & Son, R. (2005). Analysis of raw meats and fats of pigs using polymerase chain reaction for Halal authentication. In Meat Science (Vol. 69, Issue 1, pp. 47–52). Elsevier BV. https://doi.org/10.1016/j.meatsci.2004.06.020 DOI: https://doi.org/10.1016/j.meatsci.2004.06.020

N. Salamah, A. Guntarti, and L. H. Nurani, "Analysis of soft gelatin capsule with real-time polymerase chain reaction for halal authentication". http://dx.doi.org/10.12928/pharmaciana.v13i1.25694 DOI: https://doi.org/10.12928/pharmaciana.v13i1.25694

Aini, S. R., Rohman, A., Mulyanto, Erwanto, Y., Ansar, Handayani, B. R., & Irnawati. (2023). The metabolomics approach used for halal authentication analysis of food and pharmaceutical products: a review. In Food Research (Vol. 7, Issue 3, pp. 180–187). Rynnye Lyan Resources. https://doi.org/10.26656/fr.2017.7(3).986 DOI: https://doi.org/10.26656/fr.2017.7(3).986

Fajardo, V., González, I., Rojas, M., García, T., & Martín, R. (2010). A review of current PCR-based methodologies for the authentication of meats from game animal species. In Trends in Food Science & Technology (Vol. 21, Issue 8, pp. 408–421). Elsevier BV. https://doi.org/10.1016/j.tifs.2010.06.002 DOI: https://doi.org/10.1016/j.tifs.2010.06.002

Chisholm, J., Sánchez, A., Brown, J., & Hird, H. (2008). The Development of Species-specific Real-time PCR Assays for the Detection of Pheasant and Quail in Food. In Food Analytical Methods (Vol. 1, Issue 3, pp. 190–194). Springer Science and Business Media LLC. https://doi.org/10.1007/s12161-008-9026-3 DOI: https://doi.org/10.1007/s12161-008-9026-3

Ali, M. E., Hashim, U., Mustafa, S., Che Man, Y. B., Dhahi, Th. S., Kashif, M., Uddin, Md. K., & Abd Hamid, S. B. (2012). Analysis of pork adulteration in commercial meatballs targeting porcine-specific mitochondrial cytochrome b gene by TaqMan probe real-time polymerase chain reaction. In Meat Science (Vol. 91, Issue 4, pp. 454–459). Elsevier BV. https://doi.org/10.1016/j.meatsci.2012.02.031 DOI: https://doi.org/10.1016/j.meatsci.2012.02.031

Hartati, Y. W., Suryani, A. A., Agustina, M., Gaffar, S., & Anggraeni, A. (2019). A Gold Nanoparticle–DNA Bioconjugate–Based Electrochemical Biosensor for Detection of Sus scrofa mtDNA in Raw and Processed Meat. In Food Analytical Methods (Vol. 12, Issue 11, pp. 2591–2600). Springer Science and Business Media LLC. https://doi.org/10.1007/s12161-019-01593-6 DOI: https://doi.org/10.1007/s12161-019-01593-6

Schmutzler, M., Beganovic, A., Böhler, G., & Huck, C. W. (2015). Methods for detection of pork adulteration in veal product based on FT-NIR spectroscopy for laboratory, industrial and on-site analysis. In Food Control (Vol. 57, pp. 258–267). Elsevier BV. https://doi.org/10.1016/j.foodcont.2015.04.019 DOI: https://doi.org/10.1016/j.foodcont.2015.04.019

Flauzino, J. M. R., Alves, L. M., Rodovalho, V. R., Madurro, J. M., & Brito Madurro, A. G. (2022). Application of biosensors for detection of meat species: A short review. In Food Control (Vol. 142, p. 109214). Elsevier BV. https://doi.org/10.1016/j.foodcont.2022.109214 DOI: https://doi.org/10.1016/j.foodcont.2022.109214

Mortas, M., Awad, N., & Ayvaz, H. (2022). Adulteration detection technologies used for halal/kosher food products: an overview. In Discover Food (Vol. 2, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1007/s44187-022-00015-7 DOI: https://doi.org/10.1007/s44187-022-00015-7

Lestari, D., Rohman, A., Syofyan, S., Yuliana, N. D., Abu Bakar, N. K. Bt., & Hamidi, D. (2022). Analysis of beef meatballs with rat meat adulteration using Fourier Transform Infrared (FTIR) spectroscopy in combination with chemometrics. In International Journal of Food Properties (Vol. 25, Issue 1, pp. 1446–1457). Informa UK Limited. https://doi.org/10.1080/10942912.2022.2083637 DOI: https://doi.org/10.1080/10942912.2022.2083637

Akhtar, M. T., Samar, M., Shami, A. A., Mumtaz, M. W., Mukhtar, H., Tahir, A., Shahzad-ul-Hussan, S., Chaudhary, S. U., & Kaka, U. (2021). 1H-NMR-Based Metabolomics: An Integrated Approach for the Detection of the Adulteration in Chicken, Chevon, Beef and Donkey Meat. In Molecules (Vol. 26, Issue 15, p. 4643). MDPI AG. https://doi.org/10.3390/molecules26154643 DOI: https://doi.org/10.3390/molecules26154643

Siddiqui, M. A., Khir, M. H. M., Witjaksono, G., Ghumman, A. S. M., Junaid, M., Magsi, S. A., & Saboor, A. (2021). Multivariate Analysis Coupled with M-SVM Classification for Lard Adulteration Detection in Meat Mixtures of Beef, Lamb, and Chicken Using FTIR Spectroscopy. In Foods (Vol. 10, Issue 10, p. 2405). MDPI AG. https://doi.org/10.3390/foods10102405 DOI: https://doi.org/10.3390/foods10102405

C. D. P. Hardiyanto, “Pemahaman dan Preferensi Masyarakat dalam Memilih Makanan Halal (Studi pada Masyarakat Perum Griyashanta RW 12 Kota Malang),” J. Ilm. Mhs. FEB, vol. 5, no. 2, 2017. Available at: https://jimfeb.ub.ac.id/index.php/jimfeb/article/view/3758

Denyingyhot, A., Phraephaisarn, C., Vesaratchavest, M., Dahlan, W., & Keeratipibul, S. (2021). A new tool for quality control to monitor contamination of six non-halal meats in food industry by multiplex high-resolution melting analysis (HRMA). In NFS Journal (Vol. 25, pp. 31–40). Elsevier BV. https://doi.org/10.1016/j.nfs.2021.09.002 DOI: https://doi.org/10.1016/j.nfs.2021.09.002

Alsaqri, S. N., Mabood, F., Boqué, R., Jabeen, F., Ahmad, A., Hussain, J., Sohail, M., Syed, M. G., Melhi, S., Shahzad, A., Khan, M. N., Al-Amri, I., Shah, R., & Din, I. U. (2023). Rapid detection of pork gelatin in ice cream samples by using non-destructive FT-NIR spectroscopy and Partial least squares-discriminant analysis. In Food Chemistry Advances (Vol. 2, p. 100215). Elsevier BV. https://doi.org/10.1016/j.focha.2023.100215 DOI: https://doi.org/10.1016/j.focha.2023.100215

Sarno, R., Triyana, K., Sabilla, S. I., Wijaya, D. R., Sunaryono, D., & Fatichah, C. (2020). Detecting Pork Adulteration in Beef for Halal Authentication Using an Optimized Electronic Nose System. In IEEE Access (Vol. 8, pp. 221700–221711). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/access.2020.3043394 DOI: https://doi.org/10.1109/ACCESS.2020.3043394

Che Man, Y. B., Aida, A. A., Raha, A. R., & Son, R. (2007). Identification of pork derivatives in food products by species-specific polymerase chain reaction (PCR) for halal verification. In Food Control (Vol. 18, Issue 7, pp. 885–889). Elsevier BV. https://doi.org/10.1016/j.foodcont.2006.05.004 DOI: https://doi.org/10.1016/j.foodcont.2006.05.004

Ab Mutalib, N. A., Jaswir, I., & Akmeliawati, R. (2013). IIUM-fabricated portable electronic nose for halal authentication in beverages. In 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M). 2013 5th International Conference on Information and Communication Technology for the Muslim World 2013 (ICT4M). IEEE. https://doi.org/10.1109/ict4m.2013.6518899 DOI: https://doi.org/10.1109/ICT4M.2013.6518899

Mansur, A. R., Oh, J., Lee, H. S., & Oh, S. Y. (2022). Determination of ethanol in foods and beverages by magnetic stirring-assisted aqueous extraction coupled with GC-FID: A validated method for halal verification. In Food Chemistry (Vol. 366, p. 130526). Elsevier BV. https://doi.org/10.1016/j.foodchem.2021.130526 DOI: https://doi.org/10.1016/j.foodchem.2021.130526

Ahda, M. (2016). Application of HPLC (High-Pressure Liquid Chromatography) for Analysis of Lard in the Meatball Product Combined with PCA (Principal Component Analysis). In Asian Journal of Pharmaceutical and Clinical Research (Vol. 9, Issue 6, p. 120). Innovare Academic Sciences Pvt Ltd. https://doi.org/10.22159/ajpcr.2016.v9i6.13831 DOI: https://doi.org/10.22159/ajpcr.2016.v9i6.13831

Windarsih, A., Riswanto, F. D. O., Bakar, N. K. A., Yuliana, N. D., Dachriyanus, & Rohman, A. (2022). Detection of Pork in Beef Meatballs Using LC-HRMS Based Untargeted Metabolomics and Chemometrics for Halal Authentication. In Molecules (Vol. 27, Issue 23, p. 8325). MDPI AG. https://doi.org/10.3390/molecules27238325 DOI: https://doi.org/10.3390/molecules27238325

Vichasilp, C., & Poungchompu, O. (2014). Feasibility of Detecting Pork Adulteration in Halal Meatballs Using Near Infrared Spectroscopy (NIR). In Chiang Mai University Journal of Natural Sciences (Vol. 13, Issue 1). Chiang Mai University. https://doi.org/10.12982/cmujns.2014.0052 DOI: https://doi.org/10.12982/CMUJNS.2014.0052

Rohman, A., Sismindari, Erwanto, Y., & Che Man, Y. B. (2011). Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. In Meat Science (Vol. 88, Issue 1, pp. 91–95). Elsevier BV. https://doi.org/10.1016/j.meatsci.2010.12.007 DOI: https://doi.org/10.1016/j.meatsci.2010.12.007

Ramachandran, K., Daoudi, K., Kacem, H. H., Columbus, S., Benaoum, H., & Gaidi, M. (2022). Rapid and ultra-sensitive detection of pork DNA with surface-enhanced Raman spectroscopy for onsite food quality inspection. In Sensing and Bio-Sensing Research (Vol. 38, p. 100524). Elsevier BV. https://doi.org/10.1016/j.sbsr.2022.100524 DOI: https://doi.org/10.1016/j.sbsr.2022.100524

Cheubong, C., Takano, E., Kitayama, Y., Sunayama, H., Minamoto, K., Takeuchi, R., Furutani, S., & Takeuchi, T. (2021). Molecularly imprinted polymer nanogel-based fluorescence sensing of pork contamination in halal meat extracts. In Biosensors and Bioelectronics (Vol. 172, p. 112775). Elsevier BV. https://doi.org/10.1016/j.bios.2020.112775 DOI: https://doi.org/10.1016/j.bios.2020.112775

Ahmad, A. N., Ungku Zainal Abidin, U. F., Othman, M., & Abdul Rahman, R. (2018). Overview of the halal food control system in Malaysia. In Food Control (Vol. 90, pp. 352–363). Elsevier BV. https://doi.org/10.1016/j.foodcont.2018.02.035 DOI: https://doi.org/10.1016/j.foodcont.2018.02.035

Z. Zakaria and S. Z. Ismail, “The trade description act 2011: regulating’halal’in Malaysia,” 2014. Available at: http://eprints.um.edu.my/id/eprint/13062

A. N. B. Ahmad and N. BINTI, “Implementation of halal food management system in small and medium enterprises food manufacturers,” 2018. Available at: http://psasir.upm.edu.my/id/eprint/79184/1/IPPH%202018%2010%20ir.pdf

Republik Indonesia. (2014). Undang-Undang No. 33 Tahun 2014 tentang Jaminan Produk Halal. Lembaran Negara Republik Indonesia Tahun 2014 Nomor 295. Available at: https://peraturan.bpk.go.id/Details/38709/uu-no-33-tahun-2014

Republik Indonesia. (2019). Peraturan Pemerintah No. 31 Tahun 2019 tentang Pelaksanaan Undang-Undang No. 33 Tahun 2014 tentang Jaminan Produk Halal. Lembaran Negara Republik Indonesia Tahun 2019 Nomor 88. Available at: https://peraturan.bpk.go.id/Details/161941/pp-no-31-tahun-2019

Downloads

Published

2024-10-24

How to Cite

Faridah, A., Arif, A., Parmanoan, D., Rosel, R. F., Abor, A., Yulastri, A., & Huda, N. (2024). Global trends in halal food detection. Potravinarstvo Slovak Journal of Food Sciences, 18, 919–934. https://doi.org/10.5219/2018