基于近红外光谱技术的青霉素效价含量检测模型研究。

Jianxia Wang, Nan Shen, Xiaojun Wang, Yan Wang
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引用次数: 0

摘要

背景:青霉素效价含量是衡量其药理作用的重要指标,在其质量控制和临床应用中起着至关重要的作用。近年来,随着医药行业生产效率和质量要求的不断提高,对药物效价高频监测的需求日益迫切。红外光谱作为一种新兴的研究工具,在药物效价检测领域显示出巨大的潜力。目的:利用近红外光谱数据建立青霉素效价含量的实时监测模型。该模型旨在实现青霉素生产过程中效价含量的快速准确检测,最终提高生产效率,降低成本。方法:对青霉素生产过程中青霉素样品的近红外光谱数据进行扫描采集,形成一个完整的数据集。结合5种不同的光谱预处理方法和3种回归模型构建检测模型。通过比较不同组合的性能,确定了最优的模型配置。结果:本研究确定的最优模型配置将Savitzky-Golay滤波方法与脊回归相结合。在该最优模型下,测试集的决定系数达到0.990669,表明模型预测值与实际实测值吻合程度极高。这种青霉素效价含量实时监测模型可作为一种快速、无损的工厂监测方法。结论:本研究成功建立了基于近红外光谱技术的青霉素效价实时监测模型。研究结果不仅为青霉素生产过程中的效价监测提供了有力支持,也为其他药品和化学品的无损检测提供了新的见解和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Detection Model of Penicillin Potency Content based on Near-Infrared Spectroscopy Technology.

Background: The potency content of penicillin serves as a crucial indicator for measuring its pharmacological effects, playing a vital role in quality control and clinical applications. In recent years, with the continuous improvement of production efficiency and quality requirements in the pharmaceutical industry, the need for high-frequency monitoring of drug potency has become increasingly urgent. Infrared spectroscopy, as an emerging research tool, has demonstrated immense potential in the field of drug potency testing.

Objective: The objective of this study is to develop a real-time monitoring model for penicillin potency content utilizing near-infrared (NIR) spectroscopy data. This model aims to enable rapid and accurate detection of potency content during the penicillin production process, ultimately enhancing production efficiency and reducing costs.

Method: During the penicillin production process, NIR spectroscopy data from penicillin samples were scanned and collected to form a comprehensive dataset. Five distinct spectral preprocessing methods were combined with three regression models to construct detection models. By comparing the performance of different combinations, the optimal model configuration was identified.

Results: The optimal model configuration identified in this study integrates the Savitzky-Golay filtering method with ridge regression. Under this optimal model, the coefficient of determination for the test set reached 0.990669, indicating an extremely high degree of agreement between the model's predicted values and the actual measured values. This real-time monitoring model for penicillin potency content can be applied as a rapid and non-destructive monitoring method in factory settings.

Conclusion: This study successfully developed a real-time monitoring model for penicillin potency based on NIR spectroscopy technology. The research findings not only provide strong support for potency monitoring during the penicillin production process but also offer new insights and methodologies for non-destructive testing of other pharmaceuticals and chemicals.

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