PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• de Almeida, V. E., de Sousa Fernandes, D. D., Diniz, P. H. G. D., de Araújo Gomes, A., Véras, G., Galvão, R. K. H., & Araujo, M. C. U. (2021). Scores selection via Fisher’s discriminant power in PCA-LDA to improve the classification of food data. Food Chemistry, 363, Article 130296. https://doi.org/10.1016/j.foodchem.2021.130296

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• Esteki, M., Shahsavari, Z., & Simal-Gandara, J. (2018). Use of spectroscopic methods in combination with linear discriminant analysis for authentication of food products. Food Control, 91, 100-112. https://doi.org/10.1016/j.foodcont.2018.03.031

• Esteki, M., Simal-gandara, J., Shahsavari, Z., Zandbaaf, S., & Dashtaki, E. (2018). A review on the application of chromatographic methods, coupled to chemometrics, for food authentication. Food Control, 93(April), 165-182. https://doi.org/10.1016/j.foodcont.2018.06.015

• Gomiero, T. (2018). Food quality assessment in organic vs. conventional agricultural produce: Findings and issues. Applied Soil Ecology, 123(February), 714-728. https://doi.org/10.1016/j.apsoil.2017.10.014

• Guo, Z., Huang, W., Peng, Y., Chen, Q., Ouyang, Q., & Zhao, J. (2016). Color compensation and comparison of shortwave near infrared and long wave near infrared spectroscopy for determination of soluble solids content of “Fuji” apple. Postharvest Biology and Technology, 115, 81-90. https://doi.org/10.1016/j.postharvbio.2015.12.027

• Hartman, G. L., Pawlowski, M. L., Herman, T. K., & Eastburn, D. (2016). Organically grown soybean production in the USA: Constraints and management of pathogens and insect pests. Agronomy, 6(1), Article 16. https://doi.org/10.3390/agronomy6010016

• Jawaid, S., Talpur, F. N., Sherazi, S. T. H., Nizamani, S. M., & Khaskheli, A. A. (2013). Rapid detection of melamine adulteration in dairy milk by SB-ATR-Fourier transform infrared spectroscopy. Food Chemistry, 141(3), 3066-3071. https://doi.org/10.1016/j.foodchem.2013.05.106

• Khodabakhshian, R., Bayati, M. R., & Emadi, B. (2021). An evaluation of IR spectroscopy for authentication of adulterated turmeric powder using pattern recognition. Food Chemistry, 364, Article 130406. https://doi.org/10.1016/j.foodchem.2021.130406

• Khuwijitjaru, P., Boonyapisomparn, K., & Huck, C. W. (2020). Near-infrared spectroscopy with linear discriminant analysis for green “Robusta” coffee bean sorting. International Food Research Journal, 27(2), 287-294.

• Lakshmisha, G., Singh, V. P., Shivakumar, B. G., & Arora, A. (2012). Effect of organic and inorganic nutrients on physiological traits of soybean (Glycine max (L.) Merr). Indian Journal of Plant Physiology, 17(1), 52-56.

• Lichtenthaler, H. K., & Buschmann, C. (2001). Chlorophylls and carotenoids: Measurement and characterization by UV-VIS spectroscopy. Current Protocols in Food Analytical Chemistry, 1, F4.3.1-F4.3.8. https://doi.org/https://doi.org/10.1002/0471142913.faf0403s01

• Martins, F. C. O. L., Sentanin, M. A., & De Souza, D. (2019). Analytical methods in food additives determination: Compounds with functional applications. Food Chemistry, 272(April 2018), 732-750. https://doi.org/10.1016/j.foodchem.2018.08.060

• Masithoh, R. E., Lohumi, S., Amanah, H. Z., Yoon, W. S., & Cho, B. K. (2020). Development of multi-product calibration models of various root and tuber powders by Fourier Transform Near Infra-red (FT-NIR) spectroscopy for the quantification of polysaccharide contents. Heliyon, 6(10), Article e05099. https://doi.org/10.1016/j.heliyon.2020.e05099

• Masithoh, R. E., Pahlawan, M. F. R., & Wati, R. K. (2021). Non-destructive determination of SSC and pH of banana using a modular Vis/NIR spectroscopy: comparison of partial least square (PLS) and principle component regression (PCR). In IOP Conference Series: Earth and Environmental Science (Vol. 752, No. 1, p. 012047). IOP Publishing. https://doi.org/10.1088/1755-1315/752/1/012047

• Masithoh, R. E., Rondonuwu, F., Setyabudi, F. M. C. S., & Cho, B. K. (2020). Development of calibration model for determination of sweeteners additives in Indonesia rice flour-based food by FT-NIR spectroscopy. In IOP Conference Series: Earth and Environmental Science (Vol. 542, No. 1, p. 012017). IOP Publishing. https://doi.org/10.1088/1755-1315/542/1/012017

• Masithoh, R. E., Roosmayanti, F., Rismiwandira, K., & Pahlawan, M. F. R. (2021). 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

• Meerza, S. I. A., & Gustafson, C. R. (2019). Does prior knowledge of food fraud affect consumer behavior? Evidence from an incentivized economic experiment. PLoS ONE, 14(12), 1-14. https://doi.org/10.1371/journal.pone.0225113

• Merzlyak, M. N., Solovchenko, A. E., & Gitelson, A. A. (2003). Reflectance spectral features and non-destructive estimation of chlorophyll, carotenoid and anthocyanin content in apple fruit. Postharvest Biology and Technology, 27(2), 197-211. https://doi.org/10.1016/S0925-5214(02)00066-2

• Monma, M., Terao, J., Lto, M., Saito, M., & Chikuni, K. (1994). Carotenoid components in soybean seeds varying with seed color and maturation stage. Bioscience, Biotechnology, and Biochemistry, 58(5), 926-930. https://doi.org/10.1271/bbb.58.926

• Ndlovu, P. F., Magwaza, L. S., Tesfay, S. Z., & Mphahlele, R. R. (2021). Vis-NIR spectroscopic and chemometric models for detecting contamination of premium green banana flour with wheat by quantifying resistant starch content. Journal of Food Composition and Analysis, 102, Article 104035. https://doi.org/10.1016/j.jfca.2021.104035

• Nobari-Moghaddam, H., Tamiji, Z., Akbari-Lakeh, M., Khoshayand, M. R., & Haji-Mahmoodi, M. (2021). Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics. Journal of Food Composition and Analysis, 107, Article 104343. https://doi.org/10.1016/j.jfca.2021.104343

• Pahlawan, M. F. R., Murti, B. M. A., & Masithoh, R. E. (2022). The potency of Vis/NIR spectroscopy for classification of soybean based of colour. In IOP Conference Series: Earth and Environmental Science (Vol. 1018, No. 1, p. 012015). IOP Publishing.

• Pahlawan, M. F. R., Wati, R. K., & Masithoh, R. E. (2021). Development of a low-cost modular VIS / NIR spe ctroscopy for predicting soluble solid content of banana. In IOP Conference Series: Earth and Environmental Science (Vol. 644, No. 1, p. 012047). IOP Publishing. https://doi.org/10.1088/1755-1315/644/1/012047

• Pandiselvam, R., Mahanti, N. K., Manikantan, M. R., Kothakota, A., Chakraborty, S. K., Ramesh, S. V., & Beegum, P. P. S. (2022). Rapid detection of adulteration in desiccated coconut powder: vis-NIR spectroscopy and chemometric approach. Food Control, 133, Article 108588. https://doi.org/10.1016/j.foodcont.2021.108588

• Pereira, S. N. G., De Lima, A. B. S., Oliveira, T. D. F., Batista, A. S., Jesus, J. C. De, Ferrão, S. P. B., & Santos, L. S. (2022). Non-destructive detection of soybean oil addition in babassu oil by MIR spectroscopy and chemometrics. LWT, 154, Article 112857. https://doi.org/10.1016/j.lwt.2021.112857

• Rismiwandira, K., Roosmayanti, F., Pahlawan, M. F. R., & Masithoh, R. E. (2020). Application of fourier transform near-infrared (FT-NIR) spectroscopy for detection of adulteration in palm sugar. In IOP Conference Series: Earth and Environmental Science (Vol. 653, No. 1, p. 012122). IOP Publishing. https://doi.org/10.1088/1755-1315/653/1/012122

• Roosmayanti, F., Rismiwindira, K., & Masithoh, R. E. (2021). Detection of coconut (Cocos nucivera) sugar adulteration in palm (Arenga pinnata Merrill) sugar by fourier transform infrared (FT-IR) spectroscopy. Food Research, 5, 31-36.

• Sørensen, K. M., Khakimov, B., & Engelsen, S. B. (2016). The use of rapid spectroscopic screening methods to detect adulteration of food raw materials and ingredients. Current Opinion in Food Science, 10, 45-51. https://doi.org/10.1016/j.cofs.2016.08.001

• Vieira, L. S., Assis, C., de Queiroz, M. E. L. R., Neves, A. A., & de Oliveira, A. F. (2021). Building robust models for identification of adulteration in olive oil using FT-NIR, PLS-DA and variable selection. Food Chemistry, 345, Article 128866. https://doi.org/10.1016/j.foodchem.2020.128866

• Walkowiak, A., Ledziński, Ł., Zapadka, M., & Kupcewicz, B. (2019). Detection of adulterants in dietary supplements with Ginkgo biloba extract by attenuated total reflectance Fourier transform infrared spectroscopy and multivariate methods PLS-DA and PCA. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 208, 222-228. https://doi.org/10.1016/j.saa.2018.10.008

• Zhang, Q., Li, Q., & Zhang, G. (2012). Rapid determination of leaf water content using VIS/NIR spectroscopy analysis with wavelength selection. Spectroscopy, 27(2), 93-105. https://doi.org/10.1155/2012/276795