Issue 24, 2020

Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples

Abstract

In this work, a novel and very interesting analytical methodology based on coupling of digital image processing and three-way calibration has been developed for determination of nitrite in food samples. Nitrite in contact with Griess reagent is able to produce a red-colored azo dye whose color intensity is correlated with nitrite concentration and here, a piece of Whatman filter paper impregnated with Griess reagent was used as the platform of the sensor and a SONY Xperia Z5 cell phone was used for image capturing from the sensor surface. To generate second-order data, the F-number of the camera's sensor was changed as an instrumental parameter. Two calibration models were constructed by unfolded partial least squares-residual bilinearization (U-PLS/RBL) and multiway-PLS/RBL (N-PLS/RBL) and then, their performance for prediction of nitrite concentration in test samples was evaluated and the results confirmed a good performance for U-PLS/RBL (REP = 3.25 ppm, RMSEP = 8.82 ppm, RMSEC = 4.62 ppm, Q2 = 0.99, γ−1 = 0.05 and LOD = 0.1 ppm) which was better than that for N-PLS/RBL (REP = 13.98 ppm, RMSEP = 37.86 ppm, RMSEC = 6.46 ppm, Q2 = 0.98, γ−1 = 0.07 and LOD = 0.15 ppm) in predicting concentration of nitrite in test samples which motivated us to choose it for the analysis of cabbage, carrot, lettuce, watermelon, onion, potato, kielbasa and sausage as real samples.

Graphical abstract: Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples

Supplementary files

Article information

Article type
Paper
Submitted
25 dek 2019
Accepted
01 apr 2020
First published
08 apr 2020
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2020,10, 14422-14430

Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples

Z. Almasvandi, A. Vahidinia, A. Heshmati, M. M. Zangeneh, H. C. Goicoechea and A. R. Jalalvand, RSC Adv., 2020, 10, 14422 DOI: 10.1039/C9RA10918H

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