Abstract

Pericarpium Citri Reticulatae is a traditional Chinese medicine with high medicinal value, and its storage age has a great impact on its ethno-pharmaceutical relevance. At present, there is a situation in the market place where Pericarpium Citri Reticulatae with short storage age is fraudulently sold as Pericarpium Citri Reticulatae with long storage age, and some unaged orange peels dyed with tea are sold as Pericarpium Citri Reticulatae at a high price. In this study, a rapid, on-site method for identifying the storage age of Xinhui Pericarpium Citri Reticulatae based on spectral imaging technology was described. The image features and spectral features were extracted respectively from the surface reflection spectral images of Pericarpium Citri Reticulatae, and a machine learning model was established to identify the storage age. This study explored the classification effect of the combination of different spectral pre-processing methods and machine learning models, and finally selected the combination of standard normal variate and random forest models, to achieve 95% accuracy on the test dataset, showing excellent generalization performance. The result shows that the spectral imaging technology can rapidly identify the storage age of Xinhui Pericarpium Citri Reticulatae in real time, which has a great application prospect in the detection of the properties of medicinal materials.

© 2023 The Author(s)

Tunable filter-based multispectral imaging for detection of blood stains on construction material substrates part 2: realization of rapid blood stain detection

Suwatwong Janchaysang, Sarun Sumriddetchkajorn, and Prathan Buranasiri
Appl. Opt. 52(20) 4898-4910 (2013)

On-site visualized classification of transparent hazards and noxious substances on a water surface by multispectral techniques

Haocai Huang, Shuchang Liu, Chao Wang, Kaibo Xia, Dejun Zhang, Hangzhou Wang, Shuyue Zhan, Hui Huang, Shuangyan He, Caicai Liu, and Xiaorun Li
Appl. Opt. 58(16) 4458-4466 (2019)

Illuminant estimation in multispectral imaging

Haris Ahmad Khan, Jean-Baptiste Thomas, Jon Yngve Hardeberg, and Olivier Laligant
J. Opt. Soc. Am. A 34(7) 1085-1098 (2017)

Study on the aging status of insulators based on hyperspectral imaging technology

Yihan Fan, Yujun Guo, Yang Liu, Song Xiao, Guoqiang Gao, Xueqin Zhang, and Guangning Wu
Opt. Express 32(4) 5072-5087 (2024)

Automated wide-field malaria parasite infection detection using Fourier ptychography on stain-free thin-smears

Osman Akcakır, Lutfi Kadir Celebi, Mohd Kamil, and Ahmed S. I. Aly
Biomed. Opt. Express 13(7) 3904-3921 (2022)