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首页> 外文期刊>International Journal of Pharmaceutics >Near-infrared chemical imaging (NIR-CI) on roll compacted ribbons and tablets - multivariate mapping of physical and chemical properties
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Near-infrared chemical imaging (NIR-CI) on roll compacted ribbons and tablets - multivariate mapping of physical and chemical properties

机译:辊压压实的碳带和片剂上的近红外化学成像(NIR-CI)-物理和化学性质的多元映射

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Near-infrared chemical imaging (NIR-CI) is an attractive technique within the pharmaceutical industry, where tools are continuously in demand to assess the quality of the intermediate and final products. The present paper demonstrates how NIR-CI in combination with multivariate methods was utilized to spatially map physical properties and content of roll compacted ribbons and tablets. Additionally, extracted textural parameters from tablet images were correlated to the design parameters of the roll compaction process as well as to the physical properties of the granules. The results established the use of NIR-CI as a complementary nondestructive tool to determine the ribbon density and map the density distribution across the width and along the length of the ribbons. For the tablets, the compaction pressure developed during compression increased with the lateral distance from the center. Therefore, NIR-CI can be an effective tool to provide information about the spatial distribution of the compaction pressures on the surface of the tablet. Moreover, low roll compaction roll force correlated to a heterogeneous type of texture in the API chemical image. Overall, texture analysis of the tablets enabled efficient investigation of the spatial variation and could be used to advance process understanding. Finally, orthogonal projections to latent structures (O2PLS) model facilitated the understanding of the interrelationships between textural features, design parameters and physical properties data by separately joint and unique variations. (C) 2015 Elsevier B.V. All rights reserved.
机译:近红外化学成像(NIR-CI)是制药行业中的一种有吸引力的技术,在该行业中,不断需要工具来评估中间产品和最终产品的质量。本文演示了如何将NIR-CI与多变量方法结合使用,以空间分布图绘制压实色带和片剂的物理性质和含量。另外,从片剂图像中提取的质地参数与辊压实工艺的设计参数以及颗粒的物理性质相关。结果确定了使用NIR-CI作为补充性非破坏性工具来确定色带密度并绘制色带宽度和长度方向的密度分布图。对于片剂,压缩过程中产生的压实压力随距中心的横向距离而增加。因此,NIR-CI可以是一种有效的工具,可提供有关片剂表面压实压力的空间分布的信息。此外,低辊压实辊力与API化学图像中的异质纹理类型相关。总体而言,片剂的质构分析能够有效调查空间变化,并可用于增进对工艺的理解。最后,通过对潜在结构(O2PLS)模型的正交投影,可以通过分别联合和独特的变体来帮助理解纹理特征,设计参数和物理属性数据之间的相互关系。 (C)2015 Elsevier B.V.保留所有权利。

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