[Hyperspectral imaging technology distinguishes between Puerariae Lobatae Radix and Puerariae Lobatae Caulis].

Puerariae Lobatae Caulis Puerariae Lobatae Radix hyperspectral imaging technology multi-layer perceptron rapid identification

Journal

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
ISSN: 1001-5302
Titre abrégé: Zhongguo Zhong Yao Za Zhi
Pays: China
ID NLM: 8913656

Informations de publication

Date de publication:
Aug 2023
Historique:
medline: 1 11 2023
pubmed: 7 10 2023
entrez: 6 10 2023
Statut: ppublish

Résumé

Puerariae Lobatae Radix, the dried root of Pueraria lobata, is a traditional Chinese medicine with a long history. Puerariae Lobatae Caulis as an adulterant is always mixed into Puerariae Lobatae Radix for sales in the market. This study employed hyperspectral imaging(HSI) to distinguish between the two products. VNIR lens(spectral scope of 410-990 nm) and SWIR lens(spectral scope of 950-2 500 nm) were used for image acquiring. Multi-layer perceptron(MLP), partial least squares discriminant analysis(PLS-DA), and support vector machine(SVM) were employed to establish the full-waveband models and select the effective wavelengths for the distinguishing between Puerariae Lobatae Caulis and Puerariae Lobatae Radix, which provided technical and data support for the development of quick inspection equipment based on HSI. The results showed that MLP model outperformed PLS-DA and SVM models in the accuracy of discrimination with full wavebands in VNIR, SWIR, and VNIR+SWIR lens, which were 95.26%, 99.11%, and 99.05%, respectively. The discriminative band selection(DBS) algorithm was employed to select the effective wavelengths, and the discrimination accuracy was 93.05%, 98.05%, and 98.74% in the three different spectral scopes, respectively. On this basis, the MLP model combined with the effective wavelengths within the range of 2 100-2 400 nm can achieve the accuracy of 97.74%, which was close to that obtained with the full waveband. This waveband can be used to develop quick inspection devices based on HSI for the rapid and non-destructive distinguishing between Puerariae Lobatae Radix and Puerariae Lobatae Caulis.

Identifiants

pubmed: 37802862
doi: 10.19540/j.cnki.cjcmm.20230515.103
doi:

Types de publication

English Abstract Journal Article

Langues

chi

Sous-ensembles de citation

IM

Pagination

4362-4369

Auteurs

Lei Zhang (L)

School of Pharmacy,Jiangxi University of Chinese Medicine Nanchang 330004,China China Academy of Chinese Medical Sciences Beijing 100700,China.

Yu-Ping Zhao (YP)

School of Pharmacy,Jiangxi University of Chinese Medicine Nanchang 330004,China China Academy of Chinese Medical Sciences Beijing 100700,China.

Kun-Kun Pang (KK)

Guangdong Institute of Intelligent Manufacturing,Guangdong Academy of Sciences Guangzhou 510070,China.

Song-Bin Zhou (SB)

Guangdong Institute of Intelligent Manufacturing,Guangdong Academy of Sciences Guangzhou 510070,China.

Yi-Sen Liu (YS)

Guangdong Institute of Intelligent Manufacturing,Guangdong Academy of Sciences Guangzhou 510070,China.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature
Humans Algorithms Software Artificial Intelligence Computer Simulation

Classifications MeSH