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A novel approach for determining coconut drink adulteration by means of laser light backscattering imaging

Mac, Xuan Hoa and Ha, Thi Thanh Nga and Nguyen, Lien and Baranyai, László (2023) A novel approach for determining coconut drink adulteration by means of laser light backscattering imaging. PROGRESS IN AGRICULTURAL ENGINEERING SCIENCES, 19 (S1). pp. 47-57. ISSN 1786-335X

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Abstract

In this work, the simulated adulteration of coconut drink by dilution with water was investigated using laser-light backscattering (LLB) imaging. The laser vision system consisted of six low power laser modules, emitting 1 mm diameter beams at wavelengths of 532, 635, 780, 808, 850 and 1,064 nm. The backscattering images were acquired by a grey scale camera with 12 bit resolution. Eight parameters were extracted to describe the backscattering profile. The methods of linear discriminant analysis (LDA) and partial least squares (PLS) regression were performed on LLB parameters for classifying and predicting dilution level of adulterated coconut drink samples. Based on the results, LLB signals responded sensitively to adulteration. LDA results showed that adulterated samples were correctly recognized with accuracies between 60 and 100%. PLS models were able to estimate the adulteration level of samples with coefficients of determination of 0.57–0.97 in validation. This result demonstrated the potential of laser-light backscattering imaging as a rapid and non-destructive optical technique for evaluation of coconut drink adulteration.

Item Type: Article
Uncontrolled Keywords: diffuse reflectance imaging; food quality control; non-destructive assessment
Subjects: S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában
T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 22 Feb 2024 12:21
Last Modified: 22 Feb 2024 12:21
URI: https://real.mtak.hu/id/eprint/188769

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