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Quantitative Analysis of Forsythiae fructus by Near Infrared Spectroscopy

TLDR
In this paper, the content of forsythoside A and ethanol extract were rapidly determinated by near-infrared reflectance spectroscopy (NIRS), where 85 samples of Forsythiae Fructus harvested in Luoyang from July to September in 2012 were divided into a calibration set (75 samples) and a validation set (10 samples).
Abstract
In this paper, the content of forsythoside A and ethanol-extract were rapidly determinated by near-infrared reflectance spectroscopy (NIRS). 85 samples of Forsythiae Fructus harvested in Luoyang from July to September in 2012 were divided into a calibration set (75 samples) and a validation set (10 samples). In combination with the partical least square (PLS), the quantitative calibration models of forsythoside A and ethanol-extract were established. The correlation coefficient of cross-validation (R2) was 0.98247 and 0.97214 for forsythoside A and ethanol-extract, the root-mean-square error of calibration (RMSEC) was 0.184 and 0.570, the root-mean-square error of cross-validation (RMSECV) was 0.81736 and 0.36656. The validation set were used to evaluate the performance of the models, the root-mean-square error of prediction (RMSEP) was 0.221 and 0.518. The results indicated that it was feasible to determine the content of forsythoside A and ethanol-extract in Forsythiae Fructus by near-infrared spectroscopy.

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Citations
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Development of Near Infrared Spectroscopy for Rapid Quality Assessment of Red Ginseng

TL;DR: In this article, a discriminant analysis (DA) based on principal component analysis and Mahalanobis distance was used to distinguish red ginseng from counterfeits non-destructively and no misclassified sample was found in both training and test sets.
References
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Journal Article

[Nondestructive determination of nitrate content in spinach leaves with visible-near infrared high spectra].

TL;DR: Results indicate that visible-NIR spectra technique is a feasible, nondestructive way to predict the nitrate content in spinach leaves.

Development of Near Infrared Spectroscopy for Rapid Quality Assessment of Red Ginseng

TL;DR: In this article, a discriminant analysis (DA) based on principal component analysis and Mahalanobis distance was used to distinguish red ginseng from counterfeits non-destructively and no misclassified sample was found in both training and test sets.
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Research on predicting the nutrition value of pelletized alfalfa by near infrared reflectance spectroscopy

TL;DR: The results showed that pelletized alfalfa's CP, NDF, ADF contents were exactly predicted by near infrared reflectance spectroscopy.
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