[Correlation between active component content and color of Atractylodes Lancea and A. chinensis based on color difference principle].

We explored the correlations between the color difference values [ΔL~*(lightness), Δa~*(red-green), Δb~*(yellow-blue)] and the content of four active components(including sesquiterpenoids and polyacetylenes) in the powder of Atractylodes lancea and A. chinensis, aiming to provide reference for the quality evaluation of Atractylodis Rhizoma and establish a qualitative model that can distinguish between A. lancea and A. chinensis based on the chromatic values. The tristimulus values(L~*, a~*, and b~*) of 23 batches of A. lancea and A. chinensis were measured by a color difference meter. The content of atractylenolide Ⅱ, ß-eudesmol, atractylodin, and atractylone in the 23 batches of samples were measured by high performance liquid chromatography(HPLC). Principal component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA) were performed to establish the qualitative models for distinguishing between A. lancea and A. chinensis. SPSS was employed to analyze the correlations between the tristimulus values and the content of the four index components. The results showed that the established PCA and PLS-DA models can divide the A. lancea and A. chinensis samples into two regions, and the tristimulus values of A. lancea and A. chinensis were positively correlated with the content of ß-eudesmol and atractylodin. Therefore, the PCA and PLS-DA models can successfully identify A. lancea and A. chinensis, and the appearance color can be used to quickly predict the internal quality of Atractylodis Rhizoma. This study provides a reference for the quality evaluation of Atractylodis Rhizoma and the modern research on the color of Chinese medicinal materials.

Correlation between active component content and color of Atractylodes Lancea and A. chinensis based on color difference principle / 中国中药杂志

We explored the correlations between the color difference values [ΔL~*(lightness), Δa~*(red-green), Δb~*(yellow-blue)] and the content of four active components(including sesquiterpenoids and polyacetylenes) in the powder of Atractylodes lancea and A. chinensis, aiming to provide reference for the quality evaluation of Atractylodis Rhizoma and establish a qualitative model that can distinguish between A. lancea and A. chinensis based on the chromatic values. The tristimulus values(L~*, a~*, and b~*) of 23 batches of A. lancea and A. chinensis were measured by a color difference meter. The content of atractylenolide Ⅱ, β-eudesmol, atractylodin, and atractylone in the 23 batches of samples were measured by high performance liquid chromatography(HPLC). Principal component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA) were performed to establish the qualitative models for distinguishing between A. lancea and A. chinensis. SPSS was employed to analyze the correlations between the tristimulus values and the content of the four index components. The results showed that the established PCA and PLS-DA models can divide the A. lancea and A. chinensis samples into two regions, and the tristimulus values of A. lancea and A. chinensis were positively correlated with the content of β-eudesmol and atractylodin. Therefore, the PCA and PLS-DA models can successfully identify A. lancea and A. chinensis, and the appearance color can be used to quickly predict the internal quality of Atractylodis Rhizoma. This study provides a reference for the quality evaluation of Atractylodis Rhizoma and the modern research on the color of Chinese medicinal materials.

Spectral Response Based Calibration Method of Tristimulus Colorimeters.

A new method is described to calibrate tristimulus colorimeters for high accuracy color measurements. Instead of traditional lamp standards, modern, high accuracy detector standards are suggested for calibration. After high accuracy absolute spectral response determination of the tristimulus receivers, color (spectral) correction and peak (amplitude) normalization can minimize uncertainties caused by imperfect realizations of the Commission Internationale de l'Eclairage (CIE) color matching functions. As a result of the corrections, stable light sources of different spectral power distributions can be measured with an accuracy dominated by the sub tenths of a percent uncertainty of novel spectral response determinations.