Identification of the Content of Ganoderma Lucidum Powder in Ganoderma Lucidum Spore Powder Based on Near-Infrared Spectroscopy and Partial Least Squares

In order to identify the content of Ganoderma lucidum powder in Ganoderma lucidum spore powder, diffuse reflectance spectroscopy of samples were collected by the Fourier near-infrared spectrometer. The spectroscopy was pretreated by minimum and maximum normalization and then analyzed with partial least squares (PLS) method. The spectral at 6110 cm-1 to 4598 cm-1 was establish PLS model with factors number 10. The result show that the squared correlation coefficient R2 between predicted value and true value is 99.99%, and RMSECV is 0.382. In conclusion, Ganoderma lucidum spore powder and Ganoderma lucidum powder can be identified accurately and quickly based on near-infrared spectroscopy and PLS.

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Identification of Ganoderma Lucidum Spore Powder and Ganoderma Lucidum Powder Based on Near-Infrared Spectroscopy and Cluster Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.971-973.280 ◽

2014 ◽

Vol 971-973 ◽

pp. 280-283

Author(s):

Li Ya Xia ◽

Xiao Ting Li ◽

Pei Yun Chen ◽

Yan Ping Pang

Keyword(s):

Cluster Analysis ◽

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Ganoderma Lucidum ◽

Near Infrared ◽

Diffuse Reflectance Spectroscopy ◽

Principal Component ◽

Analysis Model ◽

Infrared Spectrometer ◽

And Cluster Analysis

In order to identify the Ganoderma lucidum spore powder and Ganoderma lucidum powder, diffuse reflectance spectroscopy of samples were collected by the Fourier near-infrared spectrometer. The spectroscopy was pretreated by vector normalization and then analyzed with chemometrics method. The data of near-infrared spectra in whole spectral region was analyzed by principal component analysis, then the first 5 scores was established cluster analysis model. The results show that this method can effectively identify Ganoderma lucidum spore powder and Ganoderma lucidum powder with the 100% accuracy rate. In conclusion, Ganoderma Lucidum Spore Powder and Ganoderma Lucidum Powder Based on Near-infrared Spectroscopy and Cluster Analysis.

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Rapid and Cost-Effective Assessment of the Neutral and Acid Detergent Fiber Fractions of Chickpea (Cicer arietinum L.) by Combining Modified PLS and Visible with Near-Infrared Spectroscopy

Agronomy ◽

10.3390/agronomy11040666 ◽

2021 ◽

Vol 11 (4) ◽

pp. 666

Author(s):

Rafael Font ◽

Mercedes del Río-Celestino ◽

Diego Luna ◽

Juan Gil ◽

Antonio de Haro-Bailón

Keyword(s):

Infrared Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Cicer Arietinum ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Cross Validation ◽

Neutral Detergent Fiber ◽

Acid Detergent Fiber ◽

Cicer Arietinum L

The near-infrared spectroscopy (NIRS) combined with modified partial least squares (modified PLS) regression was used for determining the neutral detergent fiber (NDF) and the acid detergent fiber (ADF) fractions of the chickpea (Cicer arietinum L.) seed. Fifty chickpea accessions (24 desi and 26 kabuli types) and fifty recombinant inbred lines F5:6 derived from a kabuli × desi cross were evaluated for NDF and ADF, and scanned by NIRS. NDF and ADF values were regressed against different spectral transformations by modified partial least squares regression. The coefficients of determination in the cross-validation and the standard deviation from the standard error of cross-validation ratio were, for NDF, 0.91 and 3.37, and for ADF, 0.98 and 6.73, respectively, showing the high potential of NIRS to assess these components in chickpea for screening (NDF) or quality control (ADF) purposes. The spectral information provided by different chromophores existing in the chickpea seed highly correlated with the NDF and ADF composition of the seed, and, thus, those electronic transitions are highly influenced on model fitting for fiber.

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