冷冻干燥药品结构缺陷的自动断层扫描评估。

IF 3.4 4区医学 Q2 PHARMACOLOGY & PHARMACY

AAPS PharmSciTech Pub Date : 2024-06-25 DOI:10.1208/s12249-024-02833-7

Patric Müller, Achim Sack, Jens Dümler, Michael Heckel, Tim Wenzel, Teresa Siegert, Sonja Schuldt-Lieb, Henning Gieseler, Thorsten Pöschel

{"title":"冷冻干燥药品结构缺陷的自动断层扫描评估。","authors":"Patric Müller, Achim Sack, Jens Dümler, Michael Heckel, Tim Wenzel, Teresa Siegert, Sonja Schuldt-Lieb, Henning Gieseler, Thorsten Pöschel","doi":"10.1208/s12249-024-02833-7","DOIUrl":null,"url":null,"abstract":"The topology and surface characteristics of lyophilisates significantly impact the stability and reconstitutability of freeze-dried pharmaceuticals. Consequently, visual quality control of the product is imperative. However, this procedure is not only time-consuming and labor-intensive but also expensive and prone to errors. In this paper, we present an approach for fully automated, non-destructive inspection of freeze-dried pharmaceuticals, leveraging robotics, computed tomography, and machine learning.","PeriodicalId":6925,"journal":{"name":"AAPS PharmSciTech","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automated Tomographic Assessment of Structural Defects of Freeze-Dried Pharmaceuticals.\",\"authors\":\"Patric Müller, Achim Sack, Jens Dümler, Michael Heckel, Tim Wenzel, Teresa Siegert, Sonja Schuldt-Lieb, Henning Gieseler, Thorsten Pöschel\",\"doi\":\"10.1208/s12249-024-02833-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The topology and surface characteristics of lyophilisates significantly impact the stability and reconstitutability of freeze-dried pharmaceuticals. Consequently, visual quality control of the product is imperative. However, this procedure is not only time-consuming and labor-intensive but also expensive and prone to errors. In this paper, we present an approach for fully automated, non-destructive inspection of freeze-dried pharmaceuticals, leveraging robotics, computed tomography, and machine learning.\",\"PeriodicalId\":6925,\"journal\":{\"name\":\"AAPS PharmSciTech\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AAPS PharmSciTech\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1208/s12249-024-02833-7\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AAPS PharmSciTech","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1208/s12249-024-02833-7","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}

引用次数: 0

摘要

冻干物的拓扑结构和表面特征对冻干药品的稳定性和再可重复性有重大影响。因此，必须对产品进行目视质量控制。然而，这一过程不仅耗时耗力，而且成本高昂，容易出错。在本文中，我们介绍了一种利用机器人技术、计算机断层扫描技术和机器学习技术对冻干药品进行全自动无损检测的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Automated Tomographic Assessment of Structural Defects of Freeze-Dried Pharmaceuticals.

查看原文本刊更多论文

Automated Tomographic Assessment of Structural Defects of Freeze-Dried Pharmaceuticals.

The topology and surface characteristics of lyophilisates significantly impact the stability and reconstitutability of freeze-dried pharmaceuticals. Consequently, visual quality control of the product is imperative. However, this procedure is not only time-consuming and labor-intensive but also expensive and prone to errors. In this paper, we present an approach for fully automated, non-destructive inspection of freeze-dried pharmaceuticals, leveraging robotics, computed tomography, and machine learning.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

AAPS PharmSciTech 医学-药学

CiteScore

6.80

自引率

3.00%

发文量

264

审稿时长

2.4 months

期刊介绍： AAPS PharmSciTech is a peer-reviewed, online-only journal committed to serving those pharmaceutical scientists and engineers interested in the research, development, and evaluation of pharmaceutical dosage forms and delivery systems, including drugs derived from biotechnology and the manufacturing science pertaining to the commercialization of such dosage forms. Because of its electronic nature, AAPS PharmSciTech aspires to utilize evolving electronic technology to enable faster and diverse mechanisms of information delivery to its readership. Submission of uninvited expert reviews and research articles are welcomed.