Hue-shifting for accurate and precise quantification of biochemical substances using diagnostic test strips / Ryoichi Doi in COLORATION TECHNOLOGY, Vol. 137, N° 5 (10/2021)  

[article]  inCOLORATION TECHNOLOGY > Vol. 137, N° 5 (10/2021) . - p. 530-543 Titre : Hue-shifting for accurate and precise quantification of biochemical substances using diagnostic test strips Type de document : texte imprimé Auteurs : Ryoichi Doi, Auteur Année de publication : 2021 Article en page(s) : p. 530-543 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Analyse quantitative (chimie) Biochimie Couleur Diagnostic biologique Statistique Tests biologiques Index. décimale : 667.3 Teinture et impression des tissus Résumé : Some test strips have high feasibility for the quick and approximate quantification of the biochemical substances in samples. Recently, test strips became more precise and accurate by involving the quantitative observation of coloration and regression modelling. Their accuracy and precision can be significantly improved by hue-shifting the colours of the original sample and those of the standards. The standard colour images included in the instructions of test strips for the detection of four urinary and two salivary biochemical substances were used. Images of glucose-loaded test strips for urinary glucose detection were also prepared. Using the red-green-blue (RGB) colour image, the author prepared 11 hue-shifted colour images by changing the hue of the original RGB colour image at intervals of 30°. From each of the 12 colour images, 10 greyscale images indicating values of the intensity of RGB, cyan, magenta, yellow, key black, L*, a* and b* were prepared. In regression modelling, the additional 110 greyscale images improved the values of the coefficient of determination and normalised mean absolute error in the quantification of protein, specific gravity, urobilinogen and glucose in urine, as well as of alcohol and nitric oxide in saliva. Further analyses showed that the hue-shifting technique yielded new greyscale images that were more significantly related to the values of the biochemical variables in question than any previous greyscale images. This improvement was realised by the most significant linear measures for the description of concentrations of biochemical substances, and synergetic effects between significant greyscale images. Note de contenu : - Test strip products for urine and saliva - Processing images of standard colours - Statistical analyses - Table 1 : Multiple regression statistics for significant greyscale images for the quantification of urinary and salivary biochemical substances with and without hue-shifting of the colour images of the standard colours in the instructions of test strip products - Table 2 : Linear correlations between concentrations of the urinary and salivary biochemical substances and the greyscale intensity for the pixels (n = 10) in the 10 greyscale images without hue-shifting or the significant greyscale images derived from the hue-shifted colour images DOI : https://doi.org/10.1111/cote.12551 En ligne : https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12551 Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=36510 [article]

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