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In this paper, the effects of two-dimensional correlation spectroscopy (2DCOS) on chance correlations in the spectral data, generated from the correlations between glucose concentration and some undesirable experimental factors, such as instrument drift, sample temperature variations, and interferent compositions in the sample matrix, are investigated. The aim is to evaluate the validity of the spectral data set, instead of assessing the calibration models, and then to provide a complementarydoi:10.1364/boe.4.000789 pmid:23761844 pmcid:PMC3675860 fatcat:zdnbkqsbnzfxfm6zdi3ximcwcm