2018
DOI: 10.1039/c8ay01087k
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A novel method for geographical origin identification ofTetrastigma hemsleyanum(Sanyeqing) by near-infrared spectroscopy

Abstract: Tetrastigma hemsleyanumDiels et Gilg (T. hemsleyanum), also known as Sanyeqing in Chinese, is a rare medicinal herb.

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Cited by 19 publications
(7 citation statements)
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“…As a perennial and edible plant of the family Vitaceae, Tetrastigma hemsleyanum Diels et Gilg is native to China with a popular name "Sanyeqing" (Dai et al, 2009;Chen et al, 2018;Lin et al, 2018). Its tuber as a traditional Chinese herbal medicine has been used to eliminate inflammatory and reduce fever, relieve pain and dispel phlegm, improve liver function and blood circulation, and even resist viruses and tumors (Xu et al, 2008;Sun et al, 2013;Chen et al, 2018;Ru et al, 2019a).…”
Section: Introductionmentioning
confidence: 99%
“…As a perennial and edible plant of the family Vitaceae, Tetrastigma hemsleyanum Diels et Gilg is native to China with a popular name "Sanyeqing" (Dai et al, 2009;Chen et al, 2018;Lin et al, 2018). Its tuber as a traditional Chinese herbal medicine has been used to eliminate inflammatory and reduce fever, relieve pain and dispel phlegm, improve liver function and blood circulation, and even resist viruses and tumors (Xu et al, 2008;Sun et al, 2013;Chen et al, 2018;Ru et al, 2019a).…”
Section: Introductionmentioning
confidence: 99%
“…The accuracy of the correction set and the verification set were all 100%. In addition, in Reference [ 78 ], an improved naive Bayesian classifier (INBC) combined with a fast search and find of density peaks (CFSFDP) clustering method was proposed to identify the origin of the traditional Chinese medicinal Sanyeqing. It should be pointed out that INBC-CFSFDP method can not only identify the known origin in the database accurately, but also identify the unknown origin.…”
Section: Traditional Pattern Recognition Methodsmentioning
confidence: 99%
“…Compared with PCA, HCA had better accuracy, with the accuracy rates of the HCA model being 100%, 100%, and 93.3%, respectively. In addition, other clustering methods, such as a fast search and find of density peaks clustering method, were also involved [ 78 , 86 ].…”
Section: Traditional Pattern Recognition Methodsmentioning
confidence: 99%
“…INBC and CFSFDP are combined to rapidly and effectively identify the TDG by the near-infrared spectroscopy (NIRS) from varied geographical regions. (Lin et al, 2018).…”
Section: Quality Evaluation Methodsmentioning
confidence: 99%