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<t>Partial</t> <t>least</t> <t>squares</t> regression of the correlation between the normalized PA absorption spectra data of the sample set with its total phenolic content (mg/g). The dotted green line represents the actual linear fit, and the continuous red line represents the model linear fit
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<t>Partial</t> <t>least</t> <t>squares</t> regression of the correlation between the normalized PA absorption spectra data of the sample set with its total phenolic content (mg/g). The dotted green line represents the actual linear fit, and the continuous red line represents the model linear fit
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<t>Partial</t> <t>least</t> <t>squares</t> regression of the correlation between the normalized PA absorption spectra data of the sample set with its total phenolic content (mg/g). The dotted green line represents the actual linear fit, and the continuous red line represents the model linear fit
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Image Search Results


Partial least squares regression of the correlation between the normalized PA absorption spectra data of the sample set with its total phenolic content (mg/g). The dotted green line represents the actual linear fit, and the continuous red line represents the model linear fit

Journal: Journal of Biological Physics

Article Title: Photoacoustic spectroscopy applied to the direct detection of bioactive compounds in Agaricus brasiliensis mycelium

doi: 10.1007/s10867-017-9478-z

Figure Lengend Snippet: Partial least squares regression of the correlation between the normalized PA absorption spectra data of the sample set with its total phenolic content (mg/g). The dotted green line represents the actual linear fit, and the continuous red line represents the model linear fit

Article Snippet: Statistical and multivariate analysis In this study, principal components analysis (PCA) and partial least squares regression (PLS) were applied to the experimental data using Matlab software with PLS Tool Box version 5.8.

Techniques: