DOI: https://doi.org/10.14710/jksa.23.10.360-364

Discrimination of cassava, taro, and wheat flour using near-infrared spectroscopy and chemometrics

1Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Indonesia

2Department of Statistics, Faculty of Mathematics and Natural Sciences, IPB University, Indonesia

Received: 1 May 2020; Revised: 2 Sep 2020; Accepted: 5 Sep 2020; Published: 31 Oct 2020.
Open Access Copyright 2020 Jurnal Kimia Sains dan Aplikasi under http://creativecommons.org/licenses/by-sa/4.0.

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Abstract
There is a difference in the selling price for cassava, taro, and wheat flour, with taro flour having a higher price. It could be a reason for adulterating the taro flour from the other two flours and reducing quality. This study aims to distinguish the three types of flour using the near-infrared (NIR) spectra combined with chemometrics. The NIR spectra of all samples were measured at a wavelength of 1000-2500 nm. The multivariate analysis used was principal component analysis (PCA), and PCA followed with discriminant analysis (DA). The preliminary process of the signal using area normalization was carried out before the multivariate analysis. The PCA results showed that most of the samples were grouped in their respective groups except for two samples, namely 1 sample of taro flour and 1 sample of cassava flour. Meanwhile, the PCA-DA results using seven main components showed that the three samples were grouped well. DA validation was carried out using the cross-validation method, showing that the samples could be identified into their respective groups. Therefore, a combination of NIR spectrum and chemometric analysis can be used to differentiate cassava, taro, and wheat flour
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Keywords: discrimination; chemometrics; cassava flour; taro flour; wheat flour; NIR spectra
Funding: IPB University

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Section: Research Articles
Language : EN
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  6. Claudio Gardana, Antonio Scialpi, Christian Fachechi, Paolo Simonetti, Near-Infrared Spectroscopy and Chemometrics for the Routine Detection of Bilberry Extract Adulteration and Quantitative Determination of the Anthocyanins, Journal of Spectroscopy, 2018, (2018), 4751247 https://doi.org/10.1155/2018/4751247
  7. Alessandra Biancolillo, Angela Santoro, Patrizia Firmani, Federico Marini, Identification and Quantification of Turmeric Adulteration in Egg-Pasta by Near Infrared Spectroscopy and Chemometrics, Applied Sciences, 10, 8, (2020), 2647 https://doi.org/10.3390/app10082647
  8. Jarmo T. Alander, Vladimir Bochko, Birgitta Martinkauppi, Sirinnapa Saranwong, Timo Mantere, A Review of Optical Nondestructive Visual and Near-Infrared Methods for Food Quality and Safety, International Journal of Spectroscopy, 2013, (2013), 341402 https://doi.org/10.1155/2013/341402
  9. Rachmawati, E. Rohaeti, M. Rafi, Combination of near infrared spectroscopy and chemometrics for authentication of taro flour from wheat and sago flour, Journal of Physics: Conference Series, 835, (2017), 012011 http://dx.doi.org/10.1088/1742-6596/835/1/012011
  10. Donald A. Burns, Emil W. Ciurczak, Handbook of Near-Infrared Analysis, CRC Press, 2007
  11. Hari Prasad Reddy Aenugu, D Sathis Kumar, N Parthiban Srisudharson, SomSubhra Ghosh, David Banji, Near infra red spectroscopy—an overview, International Journal of ChemTech Research, 3, 2, (2011), 825-836
  12. Christiane C. Fertig, Fridrun Podczeck, Roger D. Jee, Mark R. Smith, Feasibility study for the rapid determination of the amylose content in starch by near-infrared spectroscopy, European Journal of Pharmaceutical Sciences, 21, 2, (2004), 155-159 https://doi.org/10.1016/j.ejps.2003.09.011
  13. Hartanto Junaedi, Herman Budianto, Indra Maryati, Yuliana Melani, Data transformation pada data mining, Konferensi Nasional Inovasi dalam Desain dan Teknologi-IDeaTech, 2011
  14. James N. Miller, Jane Charlotte Miller, Statistics and Chemometrics for Analytical Chemistry, Pearson/Prentice Hall, 2005
  15. K. Varmuza, Applied Chemometrics: From Chemical Data to Relevant Information, 1st Conference on Chemistry, Cairo, 2000

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