AUTHENTICATION OF PATIN (PANGASIUS MICRONEMUS) FISH OIL ADULTERATED WITH PALM OIL USING FTIR SPECTROSCOPY COMBINED WITH CHEMOMETRICS

Authors

  • Anggita Rosiana Putri Faculty of Pharmacy, Gadjah Mada University, Yogyakarta, 55281, Indonesia
  • Abdul Rohman Faculty of Pharmacy, Gadjah Mada University, Yogyakarta, 55281, Indonesia Research Center of Halal Products, Gadjah Mada University, Yogyakarta,55281 Indonesia
  • SUGENG RIYANTO Faculty of Pharmacy, Gadjah Mada University, Yogyakarta, 55281, Indonesia

DOI:

https://doi.org/10.22159/ijap.2019v11i3.30947

Keywords:

Patin fish oil, Palm Oil, Authentication, Partial least square, Principle component regression, Discriminant analysis

Abstract

Objective: The goal of this research was to perform authentication of patin (Pangasius micronemus) fish oil (PFO) adulterated with palm oil (PO) using FTIR spectroscopy combined with chemometrics method.

Methods: Patin fish oil (PFO) and PFO adulterated with palm oil (PO) were measured using FTIR instrument at wavenumbers region of 4000–650 cm-1. The chemometrics methods, namely multivariate calibration of partial least square (PLS) and principal component regression (PCR) were used to make calibration and validation models during quantification. Discriminant analysis (DA) was used to make grouping pure PFO and PFO adulterated with PO.

Results: The results showed that PLS and PCR could be used to quantify PO as adulterant in PFO, either in calibration or validation models. FTIR spectroscopy combined with multivariate calibration offered accurate and precise method for quantitative analysis with R2 value of >0.999 and low RMSEC and RMSEP. DA was capable of grouping PFO and PFO adulterated with PO with an accuracy level of 100%.

Conclusion: FTIR spectroscopy combined with chemometrics could be reliable technique for quantification and discrimination of PFO and PFO adulterated with PO.

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References

Guil Guerrero JL, Venegas Venegas E, Rincón Cervera MA, Suarez MD. Fatty acid profiles of livers from selected marine fish species. J Food Compos Anal 2011;24:217-22.

Connor WE. Importance of n−3 fatty acids in health and disease. J Clin Nutr 2000;17:1S-5S.

Jicha GA, Markesbery WR. Omega-3 fatty acids: potential role in the management of early Alzheimer’s disease. ClinInterv Aging 2010;5:45-52.

Christy AA, Kasemsumran SDuY, Ozaki Y. The detection and quantification of adulteration in olive oil by near-infrared spectroscopy and chemometrics. Anal Sci 2004;20:935–40.

Rohman A, Che Man YBC. Fourier transform infrared (FTIR) spectroscopy for analysis of extra virgin olive oil adulterated with palm oil. Food Res Int 2010;43:886–92.

Héberger K. Chemoinformatics-multivariate mathematical–statistical methods for data evaluation. In: Medical Applications of Mass Spectrometry; 2008. p. 141-69.

Rohman A, Che Man YB. The use of fourier transform mid-infrared (FT-MIR) spectroscopy for detection and quantification of adulteration in virgin coconut oil. Food Chem 2011;129:583–8.

Fadzlillah NA, Che Man YB, Rohman A. FTIR spectroscopy combined with chemometric for analysis of sesame oil adulterated with corn oil. Int J Food Prop 2014;17:1275–82.

Gurdeniz G, Ozen B. Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data. Food Chem 2009;116:519–25.

Rohman A, Man YBC. The chemometrics approach applied to FTIR spectral data for the analysis of rice bran oil in extra virgin olive oil. Chemom Intell Lab Syst 2012;100:129-34.

Yuliani F, Riyanto S, Rohman A. Application of FTIR spectra combined with chemometrics for analysis of candlenut oil adulteration. Int J Appl Pharm 2018;10:54-9.

Prabowo P, Muflihah, Rohman A. Monitoring oxidative levels of frying oils using FTIR spectroscopy and multivariate calibration. Int J Appl Pharm 2018;10:82-7.

Maggio RM, Kaufman TS, Carlo MD, Cerretani L, Bendini A, Cichelli A, et al. Monitoring of fatty acid composition in virgin olive oil by Fourier transformed infrared spectroscopy coupled with partial least squares. Food Chem 2009;114:1549–54.

Paradkar MM, Irudayaraj JA. Rapid FTIR spectroscopic method for estimation of caffeine in soft drinks and total methylxanthines in tea and coffee. J Food Sci 2002;67:2507–11.

Ballabio D, Todeschini R. Multivariate classification for qualitative analysis. In: DW Sun (Ed). Infrared Spectroscopy for Food Quality Analysis and Control. Elsevier, London; 2009.

Yap KYL, Chan SY, Lim CS. Infrared-based protocol for the identification and categorization of ginseng and its products. Food Res Int 2007;40:643–52.

Che Man Y, Syahariza ZA, Mirghani ME, Jinap S, Bakar J. Analysis of potential lard adulteration in chocolate and chocolate products using fourier transform infrared spectroscopy. Food Chem 2005;90:815–9.

Smith B. Quantitative spectroscopy: theory and practice. 1st ed. Academic Press: America; 2002.

Gurdeniz G, Ozen B. Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data. Food Chem 2009;116:19–525.

Guillén MD, Cabo N. Characterization of edible oils and lard by fourier transform infrared spectroscopy. Relationships between composition and frequency of concrete bands in the fingerprint region. J Am Oil Chem Soc 1997;74:1281–6.

Published

07-05-2019

How to Cite

Putri, A. R., Rohman, A., & RIYANTO, S. . (2019). AUTHENTICATION OF PATIN (PANGASIUS MICRONEMUS) FISH OIL ADULTERATED WITH PALM OIL USING FTIR SPECTROSCOPY COMBINED WITH CHEMOMETRICS. International Journal of Applied Pharmaceutics, 11(3), 195–199. https://doi.org/10.22159/ijap.2019v11i3.30947

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