Determination of seed content in red pepper powders by 1H NMR and second‐derivative FT‐IR spectroscopy combined with statistical analyses
Determination of seed content in red pepper powders by 1H NMR and second‐derivative FT‐IR spectroscopy combined with statistical analyses
Choi Yuri(Department of Chemistry Chung‐Ang University Seoul South Korea); Hong Junyoung(Department of Chemistry Chung‐Ang University Seoul South Korea); Kim Byung Hee(Department of Food and Nutrition Sookmyung Women's University Seoul South Korea); Ahn Sangdoo(Department of Chemistry Chung‐Ang University Seoul South Korea)
43권 3호, 450~459쪽
초록
This study focuses on discriminating the seed content in red pepper powders using 1H NMR and second-derivative FT-IR Spectroscopy with canonical discriminant and multiple linear regression analyses. We used 165 test samples prepared by varying the seed content for spectroscopic analyses. The canonical discriminant functions derived from 21 peak variables were used to properly discriminate the red pepper powder samples based on their seed content with a 97.6% hit ratio. Additionally, we observed an average error of 7.0% while discriminating 42 blind samples. Multiple linear regression analysis was performed to directly determine the seed content of new samples without running a statistical program. The best regression model constructed with only two variables showed an average error of 6.2% when applied to the blind samples. These results verify the feasibility of using 1H NMR and FT-IR Spectroscopy with statistical analyses to determine the seed content in red pepper powders.
Abstract
This study focuses on discriminating the seed content in red pepper powders using 1H NMR and second-derivative FT-IR Spectroscopy with canonical discriminant and multiple linear regression analyses. We used 165 test samples prepared by varying the seed content for spectroscopic analyses. The canonical discriminant functions derived from 21 peak variables were used to properly discriminate the red pepper powder samples based on their seed content with a 97.6% hit ratio. Additionally, we observed an average error of 7.0% while discriminating 42 blind samples. Multiple linear regression analysis was performed to directly determine the seed content of new samples without running a statistical program. The best regression model constructed with only two variables showed an average error of 6.2% when applied to the blind samples. These results verify the feasibility of using 1H NMR and FT-IR Spectroscopy with statistical analyses to determine the seed content in red pepper powders.
- 발행기관:
- 대한화학회
- 분류:
- 화학