Nondestructive Identification of Citrus reticulata'Chachi'and Citrus reticulata'Tangerina'with Near Infrared Spectroscopy and Pattern Recognition Methods
WANG Liang
LIU Wei
DU Guorong
LI Pao
LIU Yang
Abstract：The chemical compositions of Citrus reticulata'Chachi'and C.reticulata'Tangerina'are different,while there are significant differences in the medicinal value and market price.At present,there is still a lack of non-destructive identification methods for them.A nondestructive identification method for C.reticulata'Chachi'and C.reticulata'Tangerina'was established using near-infrared(NIR)spectroscopy combined with pattern recognition methods.The spectra of C.reticulata'Chachi'and C.reticulata'Tangerina'were collected using a grating-type portable NIR spectrometer at three integration times(45,65 and 85 ms).The discrimination models for C.reticulata'Chachi'and C.reticulata'Tangerina'were constructed using principal component analysis(PC A),partial least squares-discriminant analysis(PLS-DA),and orthogonal partial least squares-discriminant analysis(OPLS-DA).The results showed that there are severe interferences of baseline drift,peak overlapping and background in the original spectra.Increasing the integration time could improve the results to some extent.However,the accurate identification could not be achieved with PCA method.With the integration times of 65 ms and 85 ms,the outer wall-PLS-DA and outer wall-OPLS-DA models could achieve 100％ identification of C.reticulata'Chachi'and C.reticulata'Tangerina'.Besides,the accurate identification could also be achieved with inner capsule-85 ms-OPLS-DA model.The study indicated that the NIR spectroscopy combined with pattern recognition methods could achieve nondestructive and accurate discrimination of C.reticulata'Chachi'and C.reticulata'Tangerina',providing a new approach for nondestructive identification of edible and medicinal substances such as C.Reticulata Pericarpium.
Keywords：Near-infrared spectroscopyCitrus reticulata'Chachi'C.reticulata'Tangerina'pattern recognition methodsnondestructive identification
Publication Date：2026-04-30
Online Publishing Date：2026-08-28(First online date of this platform, not the publication date of the document)
Pages：7( 25-31 )