PDF
Full
Outline
Objective: To establish the infrared spectrum identification model to distinguish Mingui from Angelica sinensis from other habitats. Methods: A total of 1 540 batches of A. sinensis were collected from Gansu Province through visits and field investigation, and the mid-infrared spectrum of each sample was collected by Fourier transform infrared spectroscopy. The average spectra of 423 batches of Mingui were calculated as their fingerprint. The identification threshold of Mingui was determined as 0.989 6 (μ-3σ) by mid-infrared spectroscopy combined with the “3σ” criterion. The identification model of Mingui was established. Three batches of Mingui and 97 batches of A. sinensis from other habitats were randomly selected to verify the identification model. Results: The characteristic peaks of samples were observed at 3 560, 3 389, 3 342, 2 931, 1 743, 1 650, 1 459, 1 409, 1 385, 1 374, 1 323, 1 279, 1 239, 1 128, 1 115, 1 104, 1 068, 1 053, 1 013, 1 004, 991 and 920 cm-1, etc. The mid-infrared spectra of 423 batches of Mingui were highly similar, and their peak shape, peak position and peak intensity were similar. The correlation coefficients between Mingui and the fingerprint ranged from 0.992 0 to 0.998 0. The accuracy of identification model test was 97%. Conclusion: The identification model of Mingui could be used to distinguish Mingui from other A. sinensis from other habitats.
PDF
73
34
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
