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JOURNALS // Computer Optics // Archive

Computer Optics, 2020 Volume 44, Issue 2, Pages 189–194 (Mi co778)

This article is cited in 11 papers

OPTO-IT

Testing edible oil authenticity by using smartphone based spectrometer

H. Mai, T. Le

Faculty of Physics, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Hanoi, Vietnam

Abstract: In recent years, there has been an increasing interest in the classification of edible vegetable oils, examining authenticity and in detecting possible adulteration of high quality, expensive extra virgin olive oils with low-cost edible oils. Classical methods such as gas chromatography, liquid chromatography, Fourier transform infrared and nuclear magnetic resonance, mass spectrometry, and Raman spectroscopy have been widely applied to examine the authenticity of edible oils. Despite of their high sensitivity and accuracy, these methods are significantly expensive for daily life testing, especially in resource-poor regions. Furthermore, they are time-consuming as samples have to be analyzed in dedicated laboratories. In this paper, we propose a compact, low-cost, portable smartphone-based spectrometer for testing edible oil authenticity. Using simple laboratory optical components and a smartphone, we developed a compact spectrometer which can function in the wavelength range of 400–700 nm with the spectrum/pixel resolution of 0.334 nm/pixel. The images captured by the smartphone were converted into intensity distribution plots versus wavelength. As a proof of concept, the smartphone based spectrometer was utilized to measure the variations in fluorescent intensity of the mixed oils of expensive extra virgin olive oil and low-cost rice oil with different percentages. The results obtained the spectrometer were in good agreement with that from a laboratory spectrometer, thus, confirmed its adequate sensitivity and accuracy. Due to the cost effectiveness, the adequate sensitivity, and the portability, the smartphone based spectrometer can be applied in numerous applications such as in-field testing, lifestyle monitoring, and home diagnostics.

Keywords: spectroscopy, fluorescence and luminescence, image processing, sensors, smartphone.

Received: 18.07.2019
Accepted: 30.11.2019

Language: English

DOI: 10.18287/2412-6179-CO-604



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