Fabricating a novel colorimetric-bionic sensor coupled multivariate calibration for simultaneous determination of myoglobin proportions in pork

•Colorimetric-bionic sensor array consists of nine chemically responsive dyes was fabricated.•Deoxymyoglobin, oxymyoglobin and metmyoglobin were simultaneously quantified by the sensor.•UVE, BOSS and RF were used to improve the performance of prediction modeling.•RF-PLS modeling was most robust for...

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Bibliographic Details
Published inSensors and actuators. B, Chemical Vol. 343; p. 130181
Main Authors Li, Huanhuan, Haruna, Suleiman A., Geng, Wenhui, Wei, Wenya, Zhang, Mengxia, Ouyang, Qin, Chen, Quansheng
Format Journal Article
LanguageEnglish
Published Lausanne Elsevier B.V 15.09.2021
Elsevier Science Ltd
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Summary:•Colorimetric-bionic sensor array consists of nine chemically responsive dyes was fabricated.•Deoxymyoglobin, oxymyoglobin and metmyoglobin were simultaneously quantified by the sensor.•UVE, BOSS and RF were used to improve the performance of prediction modeling.•RF-PLS modeling was most robust for myoglobin proportions prediction in pork. The quality of pork meat is of considerable importance as one of the principal sources of proteins. The study proposed the quantification of myoglobin proportions (deoxymyoglobin, oxymyoglobin and metmyoglobin) in pork meat by exploring the feasibility of colorimetric-bionic sensor array combined with efficient variable selection algorithms. Specifically, a novel colorimetric-bionic sensor array consists of nine chemically responsive dyes was fabricated. Subsequently, multivariate calibration algorithms such as partial least square (PLS), uninformative variable elimination-PLS (UVE-PLS), bootstrapping soft shrinkage-PLS (BOSS-PLS) and random frog-PLS (RF-PLS) were applied and appraised. The correlation coefficients of prediction (Rp), root mean square error of prediction (RMSEP), and residual predictive deviation (RPD) were used for the performance appraisal of the models. Optimum results were noticed with RF-PLS for myoglobin proportions (0.8412 ≤ Rp≤0.9484, 1.69 ≤ RMSEP≤3.79, and 1.68 ≤ RPD≤3.14). Therefore, this study proved that the colorimetric-bionic sensors array combined with RF-PLS could be used for rapid, simple, and non-destructive detection of quality in pork meat.
ISSN:0925-4005
1873-3077
DOI:10.1016/j.snb.2021.130181