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A Study on the End-Point Determination of the Xuefu Zhuyu Capsule Raw Powder Mixing Process Based on Near-Infrared Spectroscopy

NEW JOURNAL OF CHEMISTRY(2025)

Tianjin Hongrentang Pharmaceut Co Ltd | Zhejiang Univ

Cited 0|Views9
Abstract
Near-infrared (NIR) spectroscopy technology combined with chemometric algorithms was used to determine the mixing end-point of Xuefu Zhuyu capsule raw powder and find the shortest mixing time. Firstly, a calibration set consisting of 18 batches of samples was used to establish invasive and non-invasive calibration models using a partial least squares regression (PLSR) method, and the influence on powder mixing uniformity was explored. Finally, moving block standard deviation (MBSD) was used to determine the mixing end-point. The predictive performance of invasive and non-invasive calibration models was relatively similar, each with its own advantages and disadvantages. The invasive model is more accurate, but the disadvantage is that it requires sampling midway, which disrupts the continuity of the mixing process. The non-invasive model is faster and does not cause waste of raw materials. It is difficult to determine the mixing end-point of each component using MBSD, but predicting the overall mixing end-point of powder is a simple and convenient method. The comprehensive properties of the powder were also used to further explain the mixing process. The non-invasive method established by combining NIR spectroscopy technology with PLSR was used to monitor the mixing process of Xuefu Zhuyu capsule raw powder materials, which is beneficial for industrial production process analysis.
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要点】:研究利用近红外光谱技术结合化学计量算法确定血府逐瘀胶囊原料粉末混合过程的终点,并找到最短混合时间,创新性地提出了非侵入性方法监测混合过程。

方法】:通过部分最小二乘回归(PLSR)方法,使用包含18批样品的校准集建立侵入性和非侵入性校准模型,并探究了对粉末混合均匀性的影响。

实验】:采用移动块标准差(MBSD)确定混合终点,实验使用了近红外光谱技术,并对比了侵入性和非侵入性校准模型的预测性能,最终确定非侵入性方法在工业生产过程分析中的优势。