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近红外技术在制药过程监测与质量控制中的最新应用。

Recent applications of near infrared to pharmaceutical process monitoring and quality control.

作者信息

Zhang Chao, Liu Yuanyuan, Tang Zhiqiang, Chen Xuejun, Zhang Hui, Liu Nan, Huo Changhong, Wang Zengming, Zheng Aiping

机构信息

College of Pharmacy, Hebei Medical University, Shijiazhuang, 050000, China.

State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, 27th Taiping Road, Haidian District, Beijing, 100850, China.

出版信息

Anal Sci. 2025 May 25. doi: 10.1007/s44211-025-00794-w.

DOI:10.1007/s44211-025-00794-w
PMID:40413709
Abstract

NIR is a rapid, non-destructive analytical technique that leverages the absorption properties of molecules in the near-infrared region. This technology has become indispensable in the pharmaceutical industry due to its efficiency in analyzing solids, liquids, and various pharmaceutical preparations across numerous applications, including drug discovery, process monitoring, and quality control. With the advent of portable NIR instruments, the technology has gained a pivotal role in PAT, optimizing manufacturing processes and ensuring consistent product quality for real-time product release. This review reports on the remarkable versatility of NIR spectroscopy in the pharmaceutical field, covering a wide range of qualitative determinations, such as sample identification, crystal morphology, and eutectic analysis. It also addresses the quantitative analysis of samples and in-line applications in continuous manufacturing processes, including granulation, drying, tableting, and coating. The fundamentals of NIR spectroscopy, as well as its applications in botanical and biological products, are discussed. Additionally, the review examines the prospects and challenges associated with using NIR spectroscopic techniques. NIR spectroscopy served as an effective and powerful tool for both qualitative and quantitative analysis of pharmaceuticals and for monitoring continuous production.

摘要

近红外光谱(NIR)是一种快速、无损的分析技术,它利用分子在近红外区域的吸收特性。由于该技术在分析固体、液体以及众多应用场景(包括药物发现、过程监测和质量控制)中的各种药物制剂方面具有高效性,已在制药行业变得不可或缺。随着便携式近红外仪器的出现,该技术在过程分析技术(PAT)中发挥了关键作用,优化制造工艺并确保实时产品放行时产品质量的一致性。本综述报道了近红外光谱在制药领域的显著通用性,涵盖了广泛的定性测定,如样品鉴定、晶体形态和共熔分析。它还讨论了样品的定量分析以及在连续制造过程中的在线应用,包括制粒、干燥、压片和包衣。文中探讨了近红外光谱的基本原理及其在植物和生物制品中的应用。此外,该综述研究了使用近红外光谱技术相关的前景和挑战。近红外光谱是药物定性和定量分析以及监测连续生产的有效且强大的工具。

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本文引用的文献

1
Robust near-infrared modeling for pharmaceutical powder streams: External variable augmented iterative optimization technology (EVA-IOT).用于药粉流的稳健近红外建模:外部变量增强迭代优化技术(EVA-IOT)。
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Real-time monitoring of small changes in powder blends and ejected tablets in a low-dose formulation with 1 %w/w of active pharmaceutical ingredient using Raman and near-infrared spatially resolved spectroscopy within a tablet press.在压片机内,使用拉曼光谱和近红外空间分辨光谱,对含有1%w/w活性药物成分的低剂量制剂中的粉末混合物和弹出片剂的微小变化进行实时监测。
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Integrated Transcriptome and Metabolome Analysis Reveals Insights into Flavone and Flavonol Biosynthesis in Salicylic Acid-Induced Huanglongbing Tolerance.整合转录组和代谢组分析揭示水杨酸诱导的黄龙病耐受性中黄酮和黄酮醇生物合成的见解
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The current state-of-the art in pharmaceutical continuous film coating - A review.药物连续薄膜包衣的当前技术水平——综述
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Fluorescence spectroscopy combined with multilayer perceptron deep learning to identify the authenticity of monofloral honey-Rape honey.荧光光谱结合多层感知器深度学习用于鉴定单花蜂蜜——油菜蜜的真伪。
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Towards the prediction of barrel fill level in twin-screw wet granulation.朝着预测双螺杆湿法造粒中料筒填充水平的方向发展。
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Structural identification and quantification of unreported sialylated N-glycans in bovine testicular hyaluronidase by LC-ESI-HCD-MS/MS.利用 LC-ESI-HCD-MS/MS 对牛睾丸透明质酸酶中未报告的唾液酸化 N-聚糖进行结构鉴定和定量。
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Continuous manufacturing of pharmaceutical products: A density-insensitive near infrared method for the in-line monitoring of continuous powder streams.连续制药产品制造:一种用于连续粉末流在线监测的密度不敏感近红外方法。
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Comparing the Performance of Raman and Near-Infrared Imaging in the Prediction of the In Vitro Dissolution Profile of Extended-Release Tablets Based on Artificial Neural Networks.基于人工神经网络比较拉曼光谱和近红外成像在预测缓释片体外溶出曲线方面的性能
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