结合拉曼光谱分析的半固态挤压复合系统方案对个性化昂丹司琼剂型的评价。

IF 4.3 3区 医学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Pharmaceutical Research Pub Date : 2025-09-01 Epub Date: 2025-08-19 DOI:10.1007/s11095-025-03911-6
Mahsa Bahman, Jacopo Zini, Julius Lahtinen, Niko Hassinen, Soumya Verma, Timo Laaksonen, Sari Airaksinen, Niklas Sandler Topelius, Tapani Viitala
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引用次数: 0

摘要

目的:3D打印和基于挤压的技术,特别是半固体挤压(SSE),是满足个性化儿科药物需求的有前途的解决方案。在本研究中,评估了基于SSE的自动配制系统解决方案(CSS)技术用于定制昂丹司琼片剂。此外,利用拉曼光谱(RS)测量和偏最小二乘法(PLS)分析,建立了定制型昂丹司酮片的无损质量控制方法。方法:按照欧美药典标准、高效液相色谱法和基于rs - s PLS模型,制作不同昂丹司琼含量(2 ~ 10 mg)、不同粒径(200 ~ 500 mg)、含0.5%昂丹司琼的400 mg片剂。结果:质量均匀性试验准确度高,不同药物含量的准确度为99.2%,不同片剂大小的准确度为98.8%。所有片剂均符合三个潜在变量的验收标准(AV 2CV = 0.95, RMSECV = 0.68; R2Pred = 0.96, RMSEP = 0.57)。结论:通过药典试验、HPLC和RS验证,CSS技术可有效生产出高质量、个性化的昂丹司琼片。本研究验证了基于SSE和rs的儿科个体化药物配方质量控制的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of a Semi-solid Extrusion Based Compounding System Solution for Personalized Ondansetron Dosage Forms Combined with Raman Spectroscopy Analysis.

Objective: 3D printing and extrusion-based technologies, especially semi-solid extrusion (SSE), are promising solutions to fulfil the need to personalize pediatric medicines. In this study an automated SSE based Compounding System Solution (CSS) technology was assessed for creating customized Ondansetron tablets. Additionally, a non-destructive quality control method for the customized Ondansetron tablets was developed by utilizing Raman Spectroscopy (RS) measurements and partial least square (PLS) analysis.

Methods: Tablets of 400 mg with varying Ondansetron content (2-10 mg) and different sizes (200-500 mg) with 0.5% Ondansetron were manufactured and tested according to European and US Pharmacopoeia standards, HPLC, and the RS-based PLS model.

Results: The mass uniformity tests showed high accuracy: 99.2% for varying drug content and 98.8% for different tablet sizes. All tablets met the acceptance criteria (AV < 15) and remained stable for six months at 25 ± 2 °C and ambient humidity. In-vitro dissolution tests confirmed over 85% drug release within 30 min, complying with USP standards. The RS-based PLS model predicted active pharmaceutical ingredient (API) content with a slope of 0.944 and an error of ~ 8%, which improved to 2-3% when excluding highly variable 10 mg samples. The model showed strong correlation with HPLC results and prediction (R2CV = 0.95, RMSECV = 0.68; R2Pred = 0.96, RMSEP = 0.57), using three latent variables.

Conclusion: In conclusion, the CSS technology, validated through pharmacopoeia tests, HPLC, and RS, effectively produces high-quality, personalized Ondansetron tablets. The study demonstrates the feasibility of using SSE and RS-based quality control for individualized pediatric drug formulations.

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来源期刊
Pharmaceutical Research
Pharmaceutical Research 医学-化学综合
CiteScore
6.60
自引率
5.40%
发文量
276
审稿时长
3.4 months
期刊介绍: Pharmaceutical Research, an official journal of the American Association of Pharmaceutical Scientists, is committed to publishing novel research that is mechanism-based, hypothesis-driven and addresses significant issues in drug discovery, development and regulation. Current areas of interest include, but are not limited to: -(pre)formulation engineering and processing- computational biopharmaceutics- drug delivery and targeting- molecular biopharmaceutics and drug disposition (including cellular and molecular pharmacology)- pharmacokinetics, pharmacodynamics and pharmacogenetics. Research may involve nonclinical and clinical studies, and utilize both in vitro and in vivo approaches. Studies on small drug molecules, pharmaceutical solid materials (including biomaterials, polymers and nanoparticles) biotechnology products (including genes, peptides, proteins and vaccines), and genetically engineered cells are welcome.
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