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Liuwei dihuang pill small honeyed pill raw drug powder multi-index rapid detection method

A technology of Liuwei Dihuang Pills and detection methods, applied in the field of near-infrared detection, to achieve accurate and reliable analysis results, improve data processing efficiency and model training accuracy, and save production costs

Inactive Publication Date: 2017-08-08
JIUZHITANG
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  • Application Information

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Problems solved by technology

However, most of these literatures are aimed at a single or a few index components in the finished products of Liuwei Dihuang Pills Concentrated Pills, and most of them use the partial least squares regression algorithm as the modeling method of the quantitative model, and use the reverse artificial neural network based on principal component analysis for Liuwei There are still no relevant reports on the determination of multiple quality control indicators in the crude drug powder of Dihuang Pill Xiaomi Pill

Method used

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  • Liuwei dihuang pill small honeyed pill raw drug powder multi-index rapid detection method
  • Liuwei dihuang pill small honeyed pill raw drug powder multi-index rapid detection method
  • Liuwei dihuang pill small honeyed pill raw drug powder multi-index rapid detection method

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Embodiment 1

[0031] (1) Collect different production batches of crude drug powder of Liuwei Dihuang Wan Xiaomi Wan: Collect 53 batches of crude drug powder of Liuwei Dihuang Wan Xiaomi Wan, and the prescription medicinal materials of Liuwei Dihuang Wan Xiaomi Wan are crushed, passed through a 100-mesh sieve, and mixed , to obtain Liuweidihuangwan Xiaomiwan crude drug powder mixed uniformly;

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Abstract

The invention provides a Liuwei dihuang pill small honeyed pill raw drug powder multi-index rapid detection method, which comprises: (1) collecting Liuwei dihuang pill small honeyed pill raw drug powders from different production batches; (2) determining the quality control indexes of the Liuwei dihuang pill small honeyed pill raw drug powder, wherein the quality control indexes comprise water content, paeoniflorin, loganin, and paeonol; (3) collecting the near infrared spectrum data of the Liuwei dihuang pill small honeyed pill raw drug powder; (4) selecting an near infrared spectrum modeling waveband, and carrying out spectrum pretreatment; (5) establishing an artificial neural network computing method based on main component analysis, and establishing a quantitation correction model between the near infrared spectrum characteristic information and the water content, the paeoniflorin content, the loganin content and the paeonol content in the Liuwei dihuang pill small honeyed pill raw drug powder; and (6) rapidly determining the water content, the paeoniflorin content, the loganin content and the paeonol content in the Liuwei dihuang pill small honeyed pill raw drug powder by using the established model. Compared to the traditional method, the established analysis method of the present invention is rapid and green.

Description

technical field [0001] The invention belongs to the field of near-infrared detection, and in particular relates to a multi-indicator rapid detection method for Liuwei Dihuang Pill Xiaomi Pill crude drug powder based on a reverse artificial neural network algorithm based on principal component analysis. Background technique [0002] Liuwei Dihuang Wan Xiaomi Wan crude drug powder is a powder obtained by crushing six kinds of medicinal materials, rehmannia glutinosa, wine cornus, cortex moutan, yam, poria cocos and Alisma, into fine powder in a certain proportion, sieved and mixed. Liuwei Dihuang Wan Xiaomiwan raw medicine powder is an important raw material in the production of Liuwei Dihuangwan Xiaomiwan. The 2010 Chinese Pharmacopoeia records that Liuwei Dihuang Pills have the effect of nourishing yin and nourishing the kidney, and can be used for kidney yin deficiency, dizziness and tinnitus, sore waist and knees, hot flashes due to bone steaming, night sweats and nocturna...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3563
CPCG01N21/359G01N21/3563
Inventor 刘雪松谷陟欣吴永江金叶孙芬芳朱丽黄胜颜冬兰欧金秀
Owner JIUZHITANG
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