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Determining Danshensu and Hesperidin in Rukuaxiaopian Using Near-Infrared Spectroscopy

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Abstract

This study works on a new approach to determine the content of Danshensu and hesperidin in Rukuaxiaopian, a traditional Chinese medicine, using the combined near -infrared and ChemoMetrical techniques. Both training set samples and predicted set samples were partitioned using SPXY technique (Sample set Partitioning based on joint x-y distance). Different interval partial least square (iPLS) schemes were employed to define the valid wavelengths and to set up a quantitative calibration model. A comparison was made between interval partial least squares, Synergy interval partial least squares (SiPLS), backward interval partial least squares (BiPLS), and moving window partial least squares (MWPLS). Study results show that the 3 -SiPLS combination and 4 -SiPLS combination are most desirable for Danshensu and hesperidin respectively in regression performance. The predicted correlation coefficient (R) sat at 0.9956 and 0.9940 respectively, with RMSECV at 0.0096 and 0.0083, and RMSEP at 0.0062 and 0.0074. It is concluded that the near -infrared technique is useful for predicting the content of Danshensu and hesperidin in a simple, fast, and environment friendly manner. It provides evidences for online TCM tests.

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What this paper is about

This study works on a new approach to determine the content of Danshensu and hesperidin in Rukuaxiaopian, a traditional Chinese medicine, using the combined near -infrared and ChemoMetrical techniques. Both training set samples and predicted set samples were partitioned using SPXY technique (Sample set Partitioning based on joint x-y distance). Different interval partial least square (iPLS) schemes were employed to define the valid wavelengths and to set up a quantitative calibration model. A comparison was made between interval partial least squares, Synergy interval partial least squares (SiPLS), backward interval partial least squares (BiPLS), and moving window partial least squares (MWPLS). Study results show that the 3 -SiPLS combination and 4 -SiPLS combination are most desirable for Danshensu and hesperidin respectively in regression performance. The predicted correlation coefficient (R) sat at 0.9956 and 0.9940 respectively, with RMSECV at 0.0096 and 0.0083, and RMSEP at 0.0062 and 0.0074. It is concluded that the near -infrared technique is useful for predicting the content of Danshensu and hesperidin in a simple, fast, and environment friendly manner. It provides evidences for online TCM tests.

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Available abstract

This study works on a new approach to determine the content of Danshensu and hesperidin in Rukuaxiaopian, a traditional Chinese medicine, using the combined near -infrared and ChemoMetrical techniques. Both training set samples and predicted set samples were partitioned using SPXY technique (Sample set Partitioning based on joint x-y distance). Different interval partial least square (iPLS) schemes were employed to define the valid wavelengths and to set up a quantitative calibration model. A comparison was made between interval partial least squares, Synergy interval partial least squares (SiPLS), backward interval partial least squares (BiPLS), and moving window partial least squares (MWPLS). Study results show that the 3 -SiPLS combination and 4 -SiPLS combination are most desirable for Danshensu and hesperidin respectively in regression performance. The predicted correlation coefficient (R) sat at 0.9956 and 0.9940 respectively, with RMSECV at 0.0096 and 0.0083, and RMSEP at 0.0062 and 0.0074. It is concluded that the near -infrared technique is useful for predicting the content of Danshensu and hesperidin in a simple, fast, and environment friendly manner. It provides evidences for online TCM tests.

Key concepts: Hesperidin, Partial least squares regression, Mathematics, Analytical Chemistry (journal), Chemistry, Calibration, Chromatography, Statistics

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