Visible-near-infrared spectroscopy and chemometrics for authentication detection of organic soybean flour

Masithoh, Rudiati Evi and Pahlawan, Muhammad Fahri Reza and Saputri, Devi Alicia Surya and Abadi, Farid Rakhmat (2023) Visible-near-infrared spectroscopy and chemometrics for authentication detection of organic soybean flour. Pertanika Journal of Science & Technology (Malaysia), 31 (2). pp. 671-688. ISSN 2231-8526

Organic and non-organic soybean flours, although visually indifferent, have a significant difference in price and nutrition content. Therefore, the accurate authentication detection of organic soybean flour is necessary. Visible-near-infrared (Vis-NIR) spectroscopy coupled with chemometric methods is a non-destructive technique applied to detect authentic or adulterated organic soybean flour. The spectra of organic, adulterated organic, and non-organic soybean flours were captured using a Vis-NIR spectrometer at 350–1000 nm. The spectra were analyzed using partial least squares (PLS), principal component analysis (PCA), and the combination of these two with discriminant analysis (DA). The results showed that PCA using PC1 and PC2 could differentiate organic and non-organic soybean flours, whereas PC1 and PC4 can detect pure and adulterated organic soybean flours. The PCA–linear DA models showed 98.5% accuracy (Acc) for predicting pure organic and adulterated soybean flours and 100% Acc for predicting organic and non-organic flours. Moreover, PLS regression models resulted in a high R² of >95% for predicting organic and non-organic flours and pure and adulterated soybean flours. In addition, the PLS-DA models can differentiate organic from non-organic soybean flour and distinguish pure and adulterated soybean flours with 100% Acc and reliability.

Full text available from: Official URL: http://www.pertanika.upm.edu.my/resources/files/Pe...

Abstract

Organic and non-organic soybean flours, although visually indifferent, have a significant difference in price and nutrition content. Therefore, the accurate authentication detection of organic soybean flour is necessary. Visible-near-infrared (Vis-NIR) spectroscopy coupled with chemometric methods is a non-destructive technique applied to detect authentic or adulterated organic soybean flour. The spectra of organic, adulterated organic, and non-organic soybean flours were captured using a Vis-NIR spectrometer at 350–1000 nm. The spectra were analyzed using partial least squares (PLS), principal component analysis (PCA), and the combination of these two with discriminant analysis (DA). The results showed that PCA using PC1 and PC2 could differentiate organic and non-organic soybean flours, whereas PC1 and PC4 can detect pure and adulterated organic soybean flours. The PCA–linear DA models showed 98.5% accuracy (Acc) for predicting pure organic and adulterated soybean flours and 100% Acc for predicting organic and non-organic flours. Moreover, PLS regression models resulted in a high R² of >95% for predicting organic and non-organic flours and pure and adulterated soybean flours. In addition, the PLS-DA models can differentiate organic from non-organic soybean flour and distinguish pure and adulterated soybean flours with 100% Acc and reliability.

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Item Type:	Article
AGROVOC Term:	soybean flour
AGROVOC Term:	spectroscopy
AGROVOC Term:	organic foods
AGROVOC Term:	detection
AGROVOC Term:	adulteration
AGROVOC Term:	infrared detectors
AGROVOC Term:	multivariate analysis
AGROVOC Term:	least squares method
AGROVOC Term:	product quality
Geographical Term:	Indonesia
Uncontrolled Keywords:	Authentication, PCA, PCA-LDA, PLSDA, PLSR, soybean flour, Vis-NIR
Depositing User:	Ms. Azariah Hashim
Date Deposited:	27 Jan 2025 01:38
Last Modified:	27 Jan 2025 02:26
URI:	http://webagris.upm.edu.my/id/eprint/1883

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