Spektroskopi Fourier Transform Infrared dengan Kemometrika: Metode Deteksi Cepat untuk Autentikasi dan Keamanan Pangan
DOI:
https://doi.org/10.24843/JITPA.vol10.no2.p02Keywords:
Food Fraud, Multivariate Analysis, Non-destuctiveAbstract
Abstract
High-value products such as honey, oils, meat, and spices are primary targets of adulteration. To meet the need for fast, accurate, and non-destructive analytical methods for detecting adulteration, this study reviews the application of Fourier Transform Infrared spectroscopy combined with chemometric techniques. Fourier Transform Infrared spectroscopy offers advantages such as minimal sample preparation, rapid analysis, and high sensitivity, while chemometrics enables the interpretation of complex spectral data through techniques like Principal Component Analysis, Discriminant Analysis, and Partial Least Squares. The findings indicate that Fourier Transform Infrared, especially when using Attenuated Total Reflectance accessories, is effective in detecting adulteration in various food products such as sesame oil, honey, butter, and meat. Spectral pre-processing methods such as Standard Normal Variate, Multiplicative Scatter Correction, and Savitzky-Golay derivatives are crucial in improving model accuracy. Chemometric analyses such as Principal Component Analysis (unsupervised) and Discriminant Analysis or Partial Least Squares (supervised) have proven effective in classifying and predicting the level of adulteration. Therefore, the combination of Fourier Transform Infrared and chemometrics has strong potential as a reliable tool for food product authentication and quality monitoring throughout the supply chain.
References
Abuchi, G., & Akinbode, A. (2020). Fourier-Transform Infrared ( FTIR ) Spectroscopy and Machine Learning Approaches to Detect and Quantify Cross- Contact of Non-Gluten and Gluten-Rich Flours Written for presentation at the 2020 ASABE Annual International Meeting Sponsored by ASABE. 1–9.
Arslan, F. N., & Çağlar, F. (2019). Attenuated Total Reflectance–Fourier Transform Infrared (ATR–FTIR) Spectroscopy Combined with Chemometrics for Rapid Determination of Cold-Pressed Wheat Germ Oil Adulteration. Food Analytical Methods, 12(2), 355–370. https://doi.org/10.1007/s12161-018-1368-x
Damto, T., Zewdu, A., & Birhanu, T. (2023). Application of Fourier transform infrared (FT-IR) spectroscopy and multivariate analysis for detection of adulteration in honey markets in Ethiopia. Current Research in Food Science, 7(August), 100565. https://doi.org/10.1016/j.crfs.2023.100565
Dimitriou, L., Koureas, M., Kapageridou, S., Pappas, C. S., Manouras, A., & Malissiova, E. (2025). Meat authenticity predictive classification by implementing Fourier transform infrared spectroscopy (FTIR) combined with chemometrics. Journal of Food Composition and Analysis. https://doi.org/https://doi.org/10.1016/j.jfca.2025.107862
Domingo, E., Tirelli, A. A., Nunes, C. A., Guerreiro, M. C., & Pinto, S. M. (2014). Melamine detection in milk using vibrational spectroscopy and chemometrics analysis: A review. Food Research International, 60, 131–139. https://doi.org/10.1016/j.foodres.2013.11.006
Dutta, A. (2017). Fourier Transform Infrared Spectroscopy. In Spectroscopic Methods for Nanomaterials Characterization (Vol. 2). Elsevier Inc. https://doi.org/10.1016/B978-0-323-46140-5.00004-2
Fadlal, M., Pribadi, I., Nurlaela, R. S., & Imami, I. (2024). Pengawasan Mutu Pangan : Pencemaran dan Pemalsuan Yang Sering Terjadi Pada Produk Pangan. Jurnal Karimah Tauhid, 3, 7147–7156.
Fadzlillah, N. A., Rohman, A., Ismail, A., Mustafa, S., & Khatib, A. (2013). Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration. Journal of Oleo Science, 62(8), 555–562. https://doi.org/10.5650/jos.62.555
Irnawati, I., Windarsih, A., Indrianingsih, A. W., Apriyana, W., Ratnawati, Y. A., Nadia, L. O. M. H., & Rohman, A. (2023). Rapid detection of tuna fish oil adulteration using FTIR-ATR spectroscopy and chemometrics for halal authentication. Journal of Applied Pharmaceutical Science, 13(4), 231–239. https://doi.org/10.7324/JAPS.2023.120270
Jamwal, R., Amit, Kumari, S., Sharma, S., Kelly, S., Cannavan, A., & Singh, D. K. (2021). Recent trends in the use of FTIR spectroscopy integrated with chemometrics for the detection of edible oil adulteration. Vibrational Spectroscopy, 113(January), 103222. https://doi.org/10.1016/j.vibspec.2021.103222
Karimi, S., Feizy, J., Mehrjo, F., & Farrokhnia, M. (2016). Detection and quantification of food colorant adulteration in saffron sample using chemometric analysis of FT-IR spectra. RSC Advances, 6(27), 23085–23093. https://doi.org/10.1039/c5ra25983e
Li, S., Xing, B., Lin, D., Yi, H., & Shao, Q. (2020). Rapid detection of saffron (Crocus sativus L.) Adulterated with lotus stamens and corn stigmas by near-infrared spectroscopy and chemometrics. Industrial Crops and Products, 152(December 2019), 112539. https://doi.org/10.1016/j.indcrop.2020.112539
Masithoh, R. E., Roosmayanti, F., Rismiwandira, K., & Pahlawan, M. F. R. (2022). Detection of Palm Sugar Adulteration by Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopy. Sugar Tech, 24(3), 920–929. https://doi.org/10.1007/s12355-021-01058-3
Mendlein, A., Szkudlarek, C., & Goodpaster, J. V. (2018). Chemometrics. Forensic Toxicology, 82(12), 321–327. https://doi.org/10.1016/B978-0-12-800746-4.00040-X
Mousa, M. A. A., Wang, Y., Antora, S. A., Al-qurashi, A. D., Ibrahim, O. H. M., He, H., Liu, S., & Kamruzzaman, M. (2021). An overview of recent advances and applications of FT-IR spectroscopy for quality , authenticity , and adulteration detection in edible oils. Critical Reviews in Food Science and Nutrition, 0(0), 1–19. https://doi.org/10.1080/10408398.2021.1922872
Ozulku, G., Yildirim, R. M., Toker, O. S., Karasu, S., & Durak, M. Z. (2017). Rapid detection of adulteration of cold pressed sesame oil adultered with hazelnut, canola, and sunflower oils using ATR-FTIR spectroscopy combined with chemometric. Food Control, 82, 212–216. https://doi.org/10.1016/j.foodcont.2017.06.034
Perera, K. D. C., Weragoda, G. K., Haputhanthri, R., & Rodrigo, S. K. (2021). Study of concentration dependent curcumin interaction with serum biomolecules using ATR-FTIR spectroscopy combined with Principal Component Analysis (PCA) and Partial Least Square Regression (PLS-R) (p. 116). https://doi.org/https://doi.org/10.1016/j.vibspec.2021.103288.
Prayitno, Y. A., Emmawati, A., Prabowo, S., Candra, K. P., & Rahmadi, A. (2021). Autentikasi Cepat Madu Hutan Kalimatan Timur Dengan Atr-Ftir Spektroskopi Kombinasi Analisis Kemometrika. Jurnal Teknologi Dan Industri Pangan, 32(1), 181–189. https://doi.org/10.6066/jtip.2021.32.2.181
Riswahyuli, Y., Rohman, A., Setyabudi, F. M. C. S., & Raharjo, S. (2020). Indonesian wild honey authenticity analysis using attenuated total reflectance-fourier transform infrared (ATR-FTIR) spectroscopy combined with multivariate statistical techniques. Heliyon, 6(4), e03662. https://doi.org/10.1016/j.heliyon.2020.e03662
Rodriguez-Saona, L. E., & Allendorf, M. E. (2011). Use of FTIR for rapid authentication and detection of adulteration of food. Annual Review of Food Science and Technology, 2, 467–483. https://doi.org/10.1146/annurev-food-022510-133750
Tsagkaris, A. S., Bechynska, K., Ntakoulas, D. D., Pasias, I. N., Weller, P., Proestos, C., & Hajslova, J. (2023). Investigating the impact of spectral data pre-processing to assess honey botanical origin through Fourier transform infrared spectroscopy (FTIR) (p. 119). https://doi.org/10.1016/j.jfca.2023.105276
Ţucureanu, V., Matei, A., & Avram, A. M. (2016). FTIR Spectroscopy for Carbon Family Study. Critical Reviews in Analytical Chemistry, 46(6), 502–520. https://doi.org/10.1080/10408347.2016.1157013
Zhao, Z., Li, L., Li, W., Tian, Y., Zhang, Y., Zhang, Y., Ibba, M. I., He, Z., Hao, Y., & Tian, W. (2025). Rapid evaluation of Farinograph and Extensograph characteristics in bread wheat using near-infrared spectroscopy and chemometrics. Food Research International, 218, 116915. https://doi.org/10.1016/j.foodres.2025.116915
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