Quality control of corn silk extract using IR spectroscopy along with statistical methods.
Aiko Sano1, Yutaka Inoue1, Yuji Higuchi2
1Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, 1-1 Keyakidai, Sakado, Saitama, 3500295, Japan.
Summary
Corn silk aqueous extracts show anti-glycation properties, with lignin as the active component. Attenuated total reflectance-Fourier transform infrared spectroscopy combined with multivariate analysis offers a reliable method for quality control of these extracts.
Area of Science:
- Analytical Chemistry
- Natural Product Chemistry
- Spectroscopy
Background:
- Corn silk aqueous extracts possess glycation-inhibitory activity, attributed to lignin.
- Lignin serves as a potential marker compound for quality control of corn silk extracts.
- Traditional methods like HPLC are unsuitable for analyzing lignin in these extracts due to its macromolecular nature.
Purpose of the Study:
- To develop and validate a novel method for evaluating the anti-glycation activity of corn silk aqueous extracts.
- To establish a quality control measure for corn silk extracts using lignin as a marker.
- To explore the utility of attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy coupled with multivariate analysis for this purpose.
Main Methods:
- Utilized ATR-FTIR spectroscopy to analyze corn silk aqueous extracts.
- Applied multivariate statistical analysis, specifically principal component regression (PCR) and partial least square regression (PLSR), for spectral data analysis.
- Correlated spectral data with glycation inhibitory activity to build predictive models.
Main Results:
- The PCR model demonstrated high predictability with R² = 0.981 and RMSECV = 2.356.
- The PLSR model, using specific spectral regions, achieved excellent prediction accuracy with R² = 0.994 and RMSECV = 1.325%.
- ATR-FTIR spectroscopy combined with multivariate calibration proved effective in evaluating the anti-glycation activity of corn silk aqueous extracts.
Conclusions:
- ATR-FTIR spectroscopy with multivariate calibration is a robust and accurate method for quality control of corn silk aqueous extracts.
- This technique allows for the reliable assessment of anti-glycation activity, facilitating the use of corn silk as a functional food and cosmetic ingredient.
- The developed method overcomes the limitations of traditional analytical techniques for analyzing macromolecular components like lignin.
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