Sains Malaysiana 49(9)(2020): 2083-2089

http://dx.doi.org/10.17576/jsm-2020-4909-06

 

A Novel Chemometrics Method for Halal Authentication of Gelatin in Food Products

(KaedahBaru Kemometrik untukPengesahan Halal Gelatin dalam Produk Makanan)

 

NURFARHANA HASSAN1, TAHIR AHMAD1,2*, NORHIDAYU M. ZAIN3 & AZMIRUL ASHAARI4

 

1Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor Darul Takzim, Malaysia

 

2Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor Darul Takzim, Malaysia

 

3Islamic Civilization Academy, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, 81310 Skudai, Johor Darul Takzim, Malaysia

 

4Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Skudai, Johor Darul Takzim, Malaysia

 

Received: 26 January 2020/Accepted: 22 March 2020

 

ABSTRACT

The issue of halal authenticity of food and pharmaceutical products has become a concern to Muslims due to fraud and unknown sources of ingredients. The most common non-halal ingredient found in some food products and also in capsule medicine is porcine gelatin. Other sources of gelatin are bovine and fish. Numerous methods have been developed to identify between bovine, porcine, and fish gelatins due to the concern on the halal authenticity issue. Fourier transform infrared (FTIR) spectroscopy is one of the established techniques in food adulteration analysis. However, further analysis using chemometrics method is required due to the large similarities of the gelatin spectra. This paper introduces a novel chemometrics method using Fuzzy Autocatalytic Set (FACS) to determine the FTIR spectra of bovine, porcine, and fish gelatins. The unique dominant regions for these gelatins were identified. The bovine, porcine, and fish gelatins possessed different dominant region when compared to each other. The FACS method offers simple and rigorously computational procedure to differentiate bovine, porcine, and fish gelatins for halal authentication purposes.

 

Keywords: Chemometrics; FTIR; fuzzy graph; gelatin; halal authentication

 

ABSTRAK

Isu penentuan halal sesuatu produk makanan dan ubat-ubatan telah menjadi suatu kebimbangan dalam kalangan masyarakat Islam disebabkan unsur penipuan dan sumber bahan yang tidak diketahui. Isu ini timbul disebabkan oleh penipuan bahan dan sumber dalam sesuatu produk. Salah satu bahan tidak halal yang kerap ditemui di dalam produk makanan dan kapsul ubat ialah gelatin bersumberkan khinzir. Sumber gelatin yang lain ialah lembu dan ikan. Pelbagai kaedah telah diperkenalkan untuk mengenal pasti sumber gelatin antara lembu, babi dan ikan disebabkan kebimbangan terhadap isu penentuan halal. Spektroskopi penjelmaan inframerah Fourier (FTIR) merupakan salah satu kaedah yang diterima pakai bagi tujuan menganalisis bahan kandungan sesuatu makanan. Walau bagaimanapun, analisis lanjut menggunakan kaedah kemometrik adalah diperlukan disebabkan kesemua sumber gelatin menghasilkan persamaan spektra yang ketara. Lantaran itu, kajian ini memperkenalkan kaedah baru kemometrik menggunakan Set Automangkinan Kabur (FACS) untuk menentukan spektra FTIR gelatin lembu, babi dan ikan. Rantau gelombang yang unik lagi dominan bagi setiap gelatin dikenal pasti. Hasil kajian menunjukkan gelatin bersumberkan bahan daripada lembu, khizir dan ikan masing-masing menunjukkan rantau gelombang dominan yang unik dan berlainan. Kaedah FACS adalah kaedah yang mudah lagi rapi bagi membezakan gelatin yang bersumberkan bahan daripada lembu, khinzir dan ikan untuk tujuan penentuan halal.

 

Kata kunci: FTIR; gelatin; graf kabur; halal; kemometrik

 

REFERENCES

Ahmad, T., Baharun, S. & Arshad, K.A. 2010. Modeling a clinical incineration process using Fuzzy Autocatalytic Set. Journal of Mathematical Chemistry 47(4): 1263-1273.

Al-Kahtani, H.A., Ismail, E.A. & Ahmed, M.A. 2017. Pork detection in binary meat mixtures and some commercial food products using conventional and real-time PCR techniques.  Food Chemistry 219: 54-60.

Al-Qaradawi, Y. 1994. The Lawful and the Prohibited in Islam (Al-Halal Wal Haram Fil Islam). Indianapolis: American Trust Publication.

Ashaari, A., Ahmad, T., Zenian, S. & Shukor, N.A. 2016. Selection probe of EEG using dynamic graph of Autocatalytic Set (ACS). In International Conference on Soft Computing in Data Science. pp. 25-36.

Ashaari, A., Ahmad, T., Shamsuddin, M., Mohammad, W. & Omar, N. 2015. Graph representation for secondary system of pressurized water reactor with Autocatalytic Set approach. Journal of Mathematics and Statistics 11(4): 107-112.

Azira, T.N., Che Man, Y.B., Hafidz, R.N.R.M., Aina, M.A. & Amin, I.  2014. Use of principal component analysis for differentiation of gelatine sources based on polypeptide molecular weights. Food Chemistry 151: 286-292.

Azira, T.N., Amin, I. & Che Man, Y.B. 2012. Differentiation of bovine and porcine gelatins in processed products via Sodium Dodecyl Sulphate-Polyacrylamide Gel Electrophoresis (SDS-PAGE) and Principal Component Analysis (PCA) techniques. International Food Research Journal 19(3): 1175-1180.

Azilawati, M.I., Hashim, D.M., Jamilah, B. & Amin, I.  2015. RP-HPLC method using 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate incorporated with normalization technique in principal component analysis to differentiate the bovine, porcine and fish gelatins. Food Chemistry 172: 368-376.

Bajpai, P. 2019. Biobased Polymers: Properties and Applications in Packaging. Netherlands: Elsevier.

Brown, A.C. 2018. Understanding Food: Principles and Preparation. Boston: Cengage Learning.

Cebi, N., Durak, M.Z., Toker, O.S., Sagdic, O. & Arici, M. 2016. An evaluation of Fourier transforms infrared spectroscopy method for the classification and discrimination of bovine, porcine and fish gelatins. Food Chemistry 190: 1109-1115.

Hashim, D.M., Che Man, Y.B., Norakasha, R., Shuhaimi, M., Salmah, Y. & Syahariza, Z.A. 2010. Potential use of Fourier transform infrared spectroscopy for differentiation of bovine and porcine gelatins. Food Chemistry 118(3): 856-860.

Hassan, N., Ahmad, T. & Zain, N.M. 2018. Chemical and chemometric methods for halal authentication of gelatin: An overview. Journal of Food Science 83(12): 2903-2911.

Hermanto, S., Sumarlin, L.O. & Fatimah, W. 2013. Differentiation of bovine and porcine gelatin based on spectroscopic and electrophoretic analysis. Journal of Food and Pharmaceutical Sciences 1(3): 68-73.

Hidaka, S. & Liu, S.Y. 2003. Effects of gelatins on calcium phosphate precipitation: A possible application for distinguishing bovine bone gelatin from porcine skin gelatin.  Journal of Food Composition and Analysis 16(4): 477-483.

Jain, S. & Krishna, S. 1998. Autocatalytic sets and the growth of complexity in an evolutionary model. Physical Review Letters 81(25): 5684.

Jannat, B., Ghorbani, K., Shafieyan, H., Kouchaki, S., Behfar, A., Sadeghi, N., Beyramysoltan, S., Rabbani, F., Dashtifard, S. & Sadeghi, M. 2018. Gelatin speciation using real-time PCR and analysis of mass spectrometry-based proteomics datasets.  Food Control 87: 79-87.

Laemmli, U.K. 1970. Cleavage of structural proteins during assembly of the headbacteriophage T4. Nature 227: 680-685.

Müllertz, A., Perrie, Y. & Rades, T. 2016. Analytical Techniques in The Pharmaceutical Sciences. New York: Springer.

Muyonga, J.H., Cole, C.G.B. & Duodu, K.G. 2004. Fourier transform infrared (FTIR) spectroscopic study of acid soluble collagen and gelatin from skins and bones of young and adult Nile perch (Lates niloticus). Food Chemistry 86(3): 325-332.

Nemati, M., Oveisi, M.R., Abdollahi, H. & Sabzevari, O. 2004. Differentiation of bovine and porcine gelatins using principal component analysis. Journal of Pharmaceutical and Biomedical Analysis 34(3): 485-492.

Tuah, Y. 2019. Meeting demands of the halal industry.  https://www.theborneopost.com/2019/03/03/meeting-demands-of-the-halal-industry. Accessed on 3 September 2019.

Prager, G. 2018. Practical Pharmaceutical Engineering. New Jersey: John Wiley & Sons.

Venien, A. & Levieux, D. 2005. Differentiation of bovine from porcine gelatines using polyclonal anti-peptide antibodies in indirect and competitive indirect ELISA. Journal of Pharmaceutical and Biomedical Analysis 39(3): 418-424.

Widyaninggar, A., Triyana, K. & Rohman, A. 2012. Differentiation between porcine and bovine gelatin in capsule shells based on amino acid profiles and principal component analysis. Indonesian Journal of Pharmacy 23(2): 104-109.

 

*Corresponding author; email: tahir@ibnusina.utm.my

   

 

 

previous