Detection of Formalin Content in Chicken Meat Using Portable Near Infrared Spectrometer
DOI:
https://doi.org/10.23960/jtep-l.v12i4.831-839Abstract
Food safety is essential for consumers. One of the compound that are prohibited from being used to preserve chicken meat is formalin. It demands a fast classification and sorting process for chicken meat, whether it is processed further or not. The main objective of this research is to develop a model that can predict the formalin content of chicken meat at room temperature using a portable NIR spectrometer. The NIRS method utilizes electromagnetic waves in infrared radiation with wavelengths ranging from 740-1070 nm. The method used to process the data is partial least square discriminative analysis (PLS-DA) to determine the presence of formalin in chicken meat. The results showed that the best pre-treatment was using the 1st derivative which had calibration results with an accuracy value of 92.86%, sensitivity 94.05%, specificity 91.67%, and FPR 8.33%. While the validation results obtained an accuracy value of 92.86%, sensitivity 92.86%, specificity 92.86%, and FPR 7.14%.
Keywords: Chicken meat, formalin, NIRS, non-destructive method, PLS-DA.
References
Akeme, C.N., Purwanto, Y.A., Astuti, D.A., & Widodo, S. (2021). Rapid Assessment of Fresh Beef Spoilage Using Portable Near-Infrared Spectroscopy. Junal Keteknikan Petanian, 9(3), 79–86. https://doi.org/https://doi.org/10.19028/jtep.09.3.79-86
Andasuryani, Purwanto, Y.A., Budiastra, I.W., & Syamsu, K. (2013). Non destructive and rapid analysis of catechin content in gambir (Uncaria gambir Robxb.) using NIR spectroscopy. International Journal of Scientific & Engineering Research, 4(9), 383–389.
Andriniawati, N., & Saskara, I.A. (2016). Analisis faktor-faktor yang mempengaruhi permintaan daging ayam broiler di Provinsi Bali. Jurnal EP Unud, 7(6), 2011–2037.
Ardiamsyah, V. (2021). Deteksi Cepat Kesegaran Telur Ayam Negeri Dengan Menggunakan Portable Near-Infrared Spectrophotometers (NIRS). [Undergraduate Theses]. IPB University, Bogor.
BSN. (2009). Mutu Karkas dan Daging Ayam (SNI No. 3924:2009). Jakarta: Badan Standardisasi Nasional.
De Marchi, M., Penasa, M., Battagin, M., Zanetti, E., Pulici, C., & Cassandro, M. (2011). Feasibility of the direct application of near-infrared reflectance spectroscopy on intact chicken breasts to predict meat color and physical traits. Poultry Science, 90(7), 1594–1599. https://doi.org/10.3382/ps.2010-01239
De Marchi, M., Riovanto, R., Penasa, M., & Cassandro, M. (2012). At-line prediction of fatty acid profile in chicken breast using near infrared reflectance spectroscopy. Meat Science, 90(3), 653–657. https://doi.org/10.1016/j.meatsci.2011.10.009
Doan, D. L. N., Nguyen, Q. C., Marini, F., & Biancolillo, A. (2021). Authentication of rice (Oryza sativa L.) using near infrared spectroscopy combined with different chemometric classification strategies. Applied Sciences, 11(1), article 362. https://doi.org/10.3390/app11010362
Fikri, F., Purnama, M. T. E., Saputro, A. L., & Hamid, I. S. (2018). Identifikasi Escherichia coli dan Salmonella spp pada karkas sapi di rumah potong hewan di Banyuwangi dan resistensi terhadap antibiotika. Jurnal Sain Veteriner, 36(1), 123-128. https://doi.org/10.22146/jsv.38439
Ilham, N., & Haryanto, G. (2020). Dampak pandemi Covid-19 pada produksi dan kapasitas peternak. In Dampak Pandemi Covid-19 Perspektif Adaptasi dan Resiliensi Sosial Ekonomi Pertanian (editors: Suryana, A., Rusastra, I.W., Sudaryanto, T., & Pasaribu, S. M.). Jakarta: IAARD Press: 193-214.
Kiernan, J.A. (2000). Formaldehyde, formalin, paraformaldehyde and glutaraldehyde: What they are and what they do. Microscopy Today, 8(1), 8–13. https://doi.org/10.1017/s1551929500057060
Lukman, D., Sudarwanto, M., Sanjaya, A., Purnawarman, T., Latif, H., & Soedjono, R. (2009). Higiene Pangan (editor: Pisetyani, H.). Bogor: Fakultas Kedokteran Hewan, IPB.
Masyitah, M., Purwanto, Y.A., & Widodo, S. (2023). Deteksi keaslian beras Aceh varietas Sigupai menggunakan portable near infrared reflectance spectrometer. Jurnal Keteknikan Pertanian, 11(1), 41-53. https://doi.org/10.19028/jtep.011.1.41-53
Munawar, A.A. (2014). Multivariate Analysis and Artificial Neural Network Approaches of Near Infrared Spectroscopic Data for Non-destructive Quality Attributes Prediction of Mango (Mangifera indica L.). [Doctoral Theses]. Göttingen University.
Mundriyastutik, Y., Kusumatuti, D., & Tuzzahroh, F. (2020). Evaluasi kadar formaldehid ikan teri (Stolephorus heterolobus) asin dengan metode spektrofotometri UV-VIS. Indonesia Jurnal Farmasi, 5(2), 19–25.
Murray, I., & Williams, P. (1990). Chemical principles of near-infrared technology. In Williams, H.von P., & Norris, K. (Editors) Near-infrared Technology in the Agricultural and Food Industries. American Association of Cereal Chemist, Inc. (2nd ed), St. Paul, MN: 17–34.
Nurfi, N., & Sopandi, T. (2014). Degradasi kandungan formalin pada daging ayam Broiler (Gallus domesticus) berformalin dengan perendaman larutan lidah buaya (Aloe vera). STIGMA, 07(02), 12–17. https://doi.org/10.36456/stigma.vol7.no2.a518
Olson, L.D., & Delen, D. (2008). Advanced Data Mining Techniques. Springer Berlin, Heidelberg: 180 pp.
Ozaki, Y., McClure, W.F., & Christy, A.A. (2007). Near-Infrared Spectroscopy in Food Science and Technology. John Wiley & Sons, Inc., Hoboken, New Jersey: 408 pp
Pasquini, C. (2003). Near infrared spectroscopy: Fundamentals, practical aspects and analytical applications. Journal of the Brazilian Chemical Society, 14(2), 198–219. https://doi.org/10.1590/S0103-50532003000200006
Pizarro, C., Esteban-DÃez, I., Nistal, A.J., & González-Sáiz, J.M. (2004). Influence of data pre-processing on the quantitative determination of the ash content and lipids in roasted coffee by near infrared spectroscopy. Analytica Chimica Acta, 509(2), 217–227. https://doi.org/10.1016/j.aca.2003.11.008
Ramadhany, A., & Ermansyah, L. (Eds). (2022) Livestock and Animal Health Statistics 2022. Direktorat Jenderal Peternakan dan Kesehatan Hewan, Kementerian Pertanian RI, Jakarta: 122.
Rahmahani, J., Tyasningsih, W., & Estoepangestie, A.T.S. (2018). Upaya Peningkatan kesehatan masyarakat melalui pengetahuan mendeteksi formalin pada daging ayam di Kelurahan Jambangan Surabaya. Jurnal Layanan Masyarakat, 02(02), 60–62.
Schwanninger, M., Rodrigues, J.C., & Fackler, K. (2011). A review of band assignments in near infrared spectra of wood and wood components. Journal of Near Infrared Spectroscopy, 19(5), 287–308. https://doi.org/10.1255/jnirs.955
Silva, L.C.R., Folli, G.S., Santos, L.P., Barros, I.H.A.S., Oliveira, B.G., Borghi, F.T., do Santos, F.D., Filgueiras, P.R., & Romão, W. (2020). Quantification of beef, pork, and chicken in ground meat using a portable NIR spectrometer. Vibrational Spectroscopy, 111, 103158. https://doi.org/10.1016/j.vibspec.2020.103158
Soesanto, I.R.H. (2013). Perunggasan di Indonesia: Refleksi, inovasi, dan riset prospektif orasi ilmiah. Orasi Ilmiah Guru Besar IPB, 1–39.
Subagyo, S.F., Harijani, N., Wibawati, P.A., Effendi, M.H., Chusniati, S., & Yunita, M.N. (2021). Mutu Karkas dan residu tetrasiklin daging ayam broiler di pasar tradisional Banyuwangi. Jurnal Medik Veteriner, 4(1), 1-7. https://doi.org/10.20473/jmv.vol4.iss1.2021.1-7
Suhandy, D. (2021). Teknologi Near Infrared Spectroscopy Portabel untuk Kuantifikasi Atribut Mutu Buah-buahan. Graha Ilmu, Yogyakarta: 149 pp.
Williams, P., & Norris, K. (1987). Near-Infrared Technology in The Agricultural and Food Industries. American Association of Cereal Chemist, Inc. (2nd ed), St. Paul, MN: 330 pp.
Yulianti, C. H. (2021). Perbandingan uji deteksi formalin pada makanan menggunakan pereaksi antilin dan rapid tes kit formalin (labstest). Journal of Pharmacy and Science, 6(1), 53–58.
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