Mahsa Bahman, Jacopo Zini, Julius Lahtinen, Niko Hassinen, Soumya Verma, Timo Laaksonen, Sari Airaksinen, Niklas Sandler Topelius, Tapani Viitala
{"title":"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。","authors":"Mahsa Bahman, Jacopo Zini, Julius Lahtinen, Niko Hassinen, Soumya Verma, Timo Laaksonen, Sari Airaksinen, Niklas Sandler Topelius, Tapani Viitala","doi":"10.1007/s11095-025-03911-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 (R<sup>2</sup>CV = 0.95, RMSECV = 0.68; R<sup>2</sup>Pred = 0.96, RMSEP = 0.57), using three latent variables.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":20027,"journal":{"name":"Pharmaceutical Research","volume":" ","pages":"1631-1645"},"PeriodicalIF":4.3000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of a Semi-solid Extrusion Based Compounding System Solution for Personalized Ondansetron Dosage Forms Combined with Raman Spectroscopy Analysis.\",\"authors\":\"Mahsa Bahman, Jacopo Zini, Julius Lahtinen, Niko Hassinen, Soumya Verma, Timo Laaksonen, Sari Airaksinen, Niklas Sandler Topelius, Tapani Viitala\",\"doi\":\"10.1007/s11095-025-03911-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 (R<sup>2</sup>CV = 0.95, RMSECV = 0.68; R<sup>2</sup>Pred = 0.96, RMSEP = 0.57), using three latent variables.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":20027,\"journal\":{\"name\":\"Pharmaceutical Research\",\"volume\":\" \",\"pages\":\"1631-1645\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pharmaceutical Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11095-025-03911-6\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmaceutical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11095-025-03911-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/19 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.