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采用近红外光谱法评价连续压片过程中原料颗粒大小对片剂关键质量属性的影响。

Evaluation of the effect of granule size of raw tableting materials on critical quality attributes of tablets during the continuous tablet manufacturing process using near-infrared spectroscopy.

机构信息

Research Institute of Electronics, Shizuoka University, Hamamatsu, Japan.

Faculty of Pharmacy, Musashino University, Nishi-Tokyo, Japan.

出版信息

Drug Dev Ind Pharm. 2023 Nov;49(11):692-702. doi: 10.1080/03639045.2023.2271979. Epub 2023 Nov 9.

Abstract

OBJECTIVE

The effects of granule size of raw materials on tablet hardness (TH) and weight (TW) in the continuous tablet manufacturing process (CTMP) were investigated using near-infrared spectroscopy (NIRS).

METHODS

Granule materials of different sizes were prepared by extrusion granulation from a standard granule formula powder containing lactose/starch and 4.5% acetaminophen. Large-, small-, and medium-sized granules were sequentially filled in a hopper, and tablets were produced continuously using a single-shot tableting machine. After arranging approximately 500 tablets in order, the tablets were subjected to NIRS. A total of 450 NIRS datasets were divided into three groups of 150 each (calibration, validation 1, and validation 2 datasets).

RESULTS

The best fitted calibration models for predicting TH and TW were obtained, with sufficient accuracy, based on NIRS using the partial least squares regression, and comprised both physical and chemical information. The regression and loading vectors of the calibration models suggested that the models used to predict TH and TW involve physical information based on geometrical factors of the tablet and chemical information related to binder-related intermolecular interactions.

CONCLUSIONS

The changes in the predicted value profiles of TH and TW using NIRS reflected the changes in the measured values depending on the raw granule size during CTMP.

摘要

目的

采用近红外光谱(NIRS)研究原材料颗粒大小对连续压片制造工艺(CTMP)中片剂硬度(TH)和重量(TW)的影响。

方法

采用挤出造粒法,由含有乳糖/淀粉和 4.5%对乙酰氨基酚的标准颗粒配方粉末制备不同粒径的颗粒材料。大、中、小颗粒依次装入料斗,使用单冲压片机连续压片。大约排列 500 片后,对片剂进行 NIRS 分析。共得到 450 个 NIRS 数据集,分为三组,每组 150 个(校准、验证 1 和验证 2 数据集)。

结果

基于偏最小二乘回归,使用 NIRS 获得了最佳拟合的 TH 和 TW 预测校准模型,具有足够的准确性,同时包含物理和化学信息。校准模型的回归和加载向量表明,用于预测 TH 和 TW 的模型涉及基于片剂几何因素的物理信息和与粘合剂相关的分子间相互作用的化学信息。

结论

NIRS 预测的 TH 和 TW 值的变化情况反映了 CTMP 过程中原始颗粒大小对测量值的影响。

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