用近红外光谱和化学成像研究冻干产品中水分的空间分布。

Azheruddin Mohammed, Antoine Cournoyer, Ryan Gosselin
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引用次数: 0

摘要

近红外(NIR)光谱(NIRS)是一种被广泛接受的测量制药冻干产品在过程中和成品中的水分的方法。多种近红外测量方法已被引入来监测冻干小瓶中的产品水分。然而,在一个小瓶内的空间湿度梯度还没有深入的研究。像任何其他点聚焦过程分析技术(PAT)工具一样,NIRS产生的光谱代表了产品瓶中给定区域的平均值。在没有正确理解瓶内空间湿度变化的情况下,对任意随机位置实施点聚焦近红外可能会严重影响结果的可靠性。目前的工作重点是了解冻干小瓶内的水分分布。我们使用近红外工具、近红外化学成像(NIR- ci)和近红外光谱(NIRS)进行了调查,以了解冻干小瓶外表面(即外围)水分的空间变化。为了实现这一点,使用近红外图像绘制了单个小瓶内的水分分布。然后,利用近红外光谱确定了使用多个测量点来建立定量冻干产品内部水分的鲁棒模型的必要性。总的来说,结果显示了一个简化版本的现象,其中水分的非均匀分布,以及不均匀的干燥锋,发生在小瓶内。基于nir的偏最小二乘(PLS)模型的结果表明,为了获得可靠的产品/工艺信息,必须从冻干产品表面的多个测量点进行测量。
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An Investigation into the Spatial Distribution of Moisture in Freeze-Dried Products Using NIR Spectroscopy and Chemical Imaging.

Near-infrared (NIR) spectroscopy (NIRS) is a widely accepted method of measuring moisture in pharmaceutical freeze-dried products, both during the process and in the finished products. Multiple NIR measurement approaches have been introduced to monitor product moisture in freeze-dried vials. However, the spatial moisture gradients within a vial have not been investigated in depth. Like any other point-focused process analytical technology (PAT) tool, a spectrum produced by NIRS represents an average over a given area of the product vial. Implementing a point-focused NIR on any random position without proper understanding of spatial moisture variations within the vial may severely impact the reliability of the results. The present work focuses on understanding the moisture distribution within freeze-dried vials. We performed an investigation using NIR tools, NIR chemical imaging (NIR-CI), and NIRS to understand the spatial variations in moisture on the outer surface (i.e., periphery) of the freeze-dried vials. To achieve this, the moisture distribution within individual vials was mapped using NIR images. Then, NIRS was used to determine the necessity of using multiple measurement points to produce robust models quantifying the moisture inside freeze-dried products. Overall, the results show a simplified version of the phenomenon in which non-homogenous distribution of moisture, as well as the non-uniform drying front, occur within the vials. The findings from the NIRS-based partial least squares (PLS) models indicate that to achieve reliable product/process information, measurements must be drawn from multiple measurement points on the surface of the freeze-dried products.

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CiteScore
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