Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants
Notoginseng is a classical traditional Chinese medical herb, which is of high economic and medical value. Notoginseng powder (NP) could be easily adulterated with Sophora flavescens powder (SFP) or corn flour (CF), because of their similar tastes and appearances and much lower cost for these adulter...
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-10-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/13/10/13820 |
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| author | Yidan Bao Fang Cao Da-Wen Sun Di Wu Pengcheng Nie Yong He |
| author_facet | Yidan Bao Fang Cao Da-Wen Sun Di Wu Pengcheng Nie Yong He |
| author_sort | Yidan Bao |
| collection | DOAJ |
| description | Notoginseng is a classical traditional Chinese medical herb, which is of high economic and medical value. Notoginseng powder (NP) could be easily adulterated with Sophora flavescens powder (SFP) or corn flour (CF), because of their similar tastes and appearances and much lower cost for these adulterants. The objective of this study is to quantify the NP content in adulterated NP by using a rapid and non-destructive visible and near infrared (Vis-NIR) spectroscopy method. Three wavelength ranges of visible spectra, short-wave near infrared spectra (SNIR) and long-wave near infrared spectra (LNIR) were separately used to establish the model based on two calibration methods of partial least square regression (PLSR) and least-squares support vector machines (LS-SVM), respectively. Competitive adaptive reweighted sampling (CARS) was conducted to identify the most important wavelengths/variables that had the greatest influence on the adulterant quantification throughout the whole wavelength range. The CARS-PLSR models based on LNIR were determined as the best models for the quantification of NP adulterated with SFP, CF, and their mixtures, in which the rP values were 0.940, 0.939, and 0.867 for the three models respectively. The research demonstrated the potential of the Vis-NIR spectroscopy technique for the rapid and non-destructive quantification of NP containing adulterants. |
| first_indexed | 2024-04-11T21:43:41Z |
| format | Article |
| id | doaj.art-3da01e2d8d8f42cba0236121b22e0037 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:43:41Z |
| publishDate | 2013-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3da01e2d8d8f42cba0236121b22e00372022-12-22T04:01:28ZengMDPI AGSensors1424-82202013-10-011310138201383410.3390/s131013820Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with AdulterantsYidan BaoFang CaoDa-Wen SunDi WuPengcheng NieYong HeNotoginseng is a classical traditional Chinese medical herb, which is of high economic and medical value. Notoginseng powder (NP) could be easily adulterated with Sophora flavescens powder (SFP) or corn flour (CF), because of their similar tastes and appearances and much lower cost for these adulterants. The objective of this study is to quantify the NP content in adulterated NP by using a rapid and non-destructive visible and near infrared (Vis-NIR) spectroscopy method. Three wavelength ranges of visible spectra, short-wave near infrared spectra (SNIR) and long-wave near infrared spectra (LNIR) were separately used to establish the model based on two calibration methods of partial least square regression (PLSR) and least-squares support vector machines (LS-SVM), respectively. Competitive adaptive reweighted sampling (CARS) was conducted to identify the most important wavelengths/variables that had the greatest influence on the adulterant quantification throughout the whole wavelength range. The CARS-PLSR models based on LNIR were determined as the best models for the quantification of NP adulterated with SFP, CF, and their mixtures, in which the rP values were 0.940, 0.939, and 0.867 for the three models respectively. The research demonstrated the potential of the Vis-NIR spectroscopy technique for the rapid and non-destructive quantification of NP containing adulterants.http://www.mdpi.com/1424-8220/13/10/13820spectral analysisadulterationchemometricsleast-square support vector machine (LS-SVM)partial least square regression (PLSR)competitive adaptive reweighted sampling (CARS) |
| spellingShingle | Yidan Bao Fang Cao Da-Wen Sun Di Wu Pengcheng Nie Yong He Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants Sensors spectral analysis adulteration chemometrics least-square support vector machine (LS-SVM) partial least square regression (PLSR) competitive adaptive reweighted sampling (CARS) |
| title | Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants |
| title_full | Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants |
| title_fullStr | Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants |
| title_full_unstemmed | Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants |
| title_short | Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants |
| title_sort | potential of visible and near infrared spectroscopy and pattern recognition for rapid quantification of notoginseng powder with adulterants |
| topic | spectral analysis adulteration chemometrics least-square support vector machine (LS-SVM) partial least square regression (PLSR) competitive adaptive reweighted sampling (CARS) |
| url | http://www.mdpi.com/1424-8220/13/10/13820 |
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