Near infrared spectrum analyzing method for identifying fructus gardeniae quality
A technology of near-infrared spectroscopy and analysis method, which is applied in the field of medicinal material detection, and achieves the effect of simple and fast method and great application prospect
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Embodiment 1
[0033] The establishment of the near-infrared qualitative identification method of embodiment 1 gardenia quality
[0034] 1. Collection of samples: Gardenia jasminoides processed products were collected from the market, all of which were identified by the deputy director of the Guangdong Provincial Drug Control Institute, Lin Jinfeng, a Chinese pharmacist, and they were all dried and mature fruits of Gardenia jasminoides Ellis, a Rubiaceae plant. There are a total of 101 batches of gardenia processed products, including 26 batches of raw products, 25 batches of fried products, 25 batches of burnt products and 25 batches of charcoal products. Samples were purchased from Beijing, Chengdu, Guangzhou, Hebei, Shandong, Henan, Shenzhen and other places, and the places of origin include Zhejiang, Jiangxi, Hubei, Sichuan, Shandong, Guangxi, Hunan and other places.
[0035] 2. Optimizing processed products of gardenia jasminoides: based on empirical identification, using Delphi method,...
Embodiment 2
[0051] The verification of the near-infrared qualitative identification method of embodiment 2 gardenia quality
[0052] Using the near-infrared qualitative identification model, the remaining 4 batches of gardenia products (S23-S26), 3 batches of fried products (C22-C24), and 3 batches of burnt products (J21-J23) that were not used for modeling and met the standards ), 3 batches of charcoal products (T21~T23), 1 batch of roasted gardenia products (C25), 2 batches of burnt products (J24, J25), 2 batches of charcoal products (T24, T25) and counterfeit gardenia products with low scores (W1) was verified, and the identification results are shown in Table 4.
[0053] Table 4 Qualitative identification results of Gardenia processed products
[0054]
[0055] From the threshold value of the near-infrared model: 0.11726 for the raw product group, 0.07201 for the fried product group, 0.11819 for the burnt product group, and 0.06461 for the charcoal product group, it can be seen th...
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