A Fuzzy Graph Based Chemometrics Method for Gelatin Authentication

Nurfarhana Hassan, Tahir Ahmad, Norhidayu M. Zain and Siti Rahmah Awang
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Nurfarhana Hassan: Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Tahir Ahmad: Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Norhidayu M. Zain: Islamic Civilization Academy, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Siti Rahmah Awang: Azman Hashim International Business School, Universiti Teknologi Malaysia, Skudai 81310, Malaysia

Mathematics, 2020, vol. 8, issue 11, 1-18

Abstract: Graph theory is a well-established concept that is widely used in numerous applications such as in biology, chemistry and network analysis. The advancement in the theory of graph has led to the development of a new concept called fuzzy autocatalytic set. In this paper, a fuzzy graph-based chemometrics method, namely, chemometrics fuzzy autocatalytic set (c-FACS) is developed and applied for gelatin authentication. The issue on authenticity of gelatin has become a sensitive issue among some religious communities. Due to the matter, Fourier transform infrared (FTIR) spectra of bovine, porcine and fish gelatins are analyzed using c-FACS to identify their signatures and differences and presented in this paper. The results from the c-FACS analysis showed distinct features of each gelatin, particularly porcine. Furthermore, the new method is faster than principal component analysis (PCA) in identifying the gelatin sources.

Keywords: fuzzy autocatalytic set; fuzzy graph; chemometrics; gelatin authentication; Fourier transform infrared spectroscopy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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