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A study on the rapidly non-destructive detection method of Huoxiang Zhengqi oral liquid using near infrared spectroscopy
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Qian LI1, Le-ting SI1, Yan-qin HE1, Jun WANG2, Tao PENG3, Zi-liang DONG3, Yong-jiang WU1, *
Acta Pharmaceutica Sinica | 2022, 57(2) : 453 - 459
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Acta Pharmaceutica Sinica | 2022, 57(2): 453-459
Original Articles
A study on the rapidly non-destructive detection method of Huoxiang Zhengqi oral liquid using near infrared spectroscopy
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Qian LI1, Le-ting SI1, Yan-qin HE1, Jun WANG2, Tao PENG3, Zi-liang DONG3, Yong-jiang WU1, *
Affiliations
  • 1. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
  • 2. Suzhou Zeda Xingbang Pharmaceutical Technology Co., Ltd., Suzhou 215000, China
  • 3. Taiji Group Chongqing Fuling Pharmaceutical Factory Co., Ltd., Chongqing 408099, China
Published: 2022-02-12 doi: 10.16438/j.0513-4870.2021-0817
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Based on near infrared spectroscopy and high performance liquid chromatography, this paper established the regression relationship between near infrared spectroscopy and index component content of Huoxiang Zhengqi oral liquid, so as to realize the rapid detection of index component content based on near infrared spectroscopy. Magnolol, honokiol and hesperidin were used as the quality indexes of Huoxiang Zhengqi oral liquid. After using the first derivative and normalization pretreatment method, characteristic variables were screened by CARS, and the correction model was finally established by partial least-squares regression (PLSR) method. The method accuracy was evaluated with the external validation, and the prediction results were tested for significance. The results indicated that when the near infrared spectrum was scanned through the bottle, the model's correlation coefficients of prediction (Rp) were higher than 0.99, the root mean square errors of the prediction models (RMSEP) were all less than 0.008 4, and the relative standard errors of prediction set (RSEP) were all less than 2.83%. There was no significant difference in the predicted results between these two kinds of model. The models established in the non-destructive way have good performance and high prediction accuracy. The rapid and nondestructive way has application value in the quality control of Huoxiang Zhengqi oral liquid.

near-infrared spectroscopy  /  non-destructive testing  /  quantitative analysis  /  Huoxiang Zhengqi oral liquid  /  traditional Chinese medicine
Qian LI, Le-ting SI, Yan-qin HE, Jun WANG, Tao PENG, Zi-liang DONG, Yong-jiang WU. A study on the rapidly non-destructive detection method of Huoxiang Zhengqi oral liquid using near infrared spectroscopy[J]. Acta Pharmaceutica Sinica, 2022 , 57 (2) : 453 -459 . DOI: 10.16438/j.0513-4870.2021-0817
Year 2022 volume 57 Issue 2
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Article Info
doi: 10.16438/j.0513-4870.2021-0817
  • Receive Date:2021-08-01
  • Online Date:2025-12-22
  • Published:2022-02-12
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History
  • Received:2021-08-01
  • Revised:2021-11-09
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Affiliations
    1. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
    2. Suzhou Zeda Xingbang Pharmaceutical Technology Co., Ltd., Suzhou 215000, China
    3. Taiji Group Chongqing Fuling Pharmaceutical Factory Co., Ltd., Chongqing 408099, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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
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