CIOMP OpenIR
Visible Particle Identification Using Raman Spectroscopy and Machine Learning
H. Sheng; Y. P. Zhao; X. A. Long; L. W. Chen; B. Li; Y. Y. Fei; L. Mi and J. Ma
2022
发表期刊Aaps Pharmscitech
ISSN1530-9932
卷号23期号:6页码:12
摘要Visible particle identification is a crucial prerequisite step for process improvement and control during the manufacturing of injectable biotherapeutic drug products. Raman spectroscopy is a technology with several advantages for particle identification including high chemical sensitivity, minimal sample manipulation, and applicability to aqueous solutions. However, considerable effort and experience are required to extract and interpret Raman spectral data. In this study, we applied machine learning algorithms to analyze Raman spectral data for visible particle identification in order to minimize expert support and improve data analysis accuracy. We manually prepared ten types of particle standard solutions to simulate the particle types typically observed during manufacturing and established a Raman spectral library with accurate peak assignments for the visible particles. Five classification algorithms were trained using visible particle Raman spectral data. All models had high prediction accuracy of >98% for all types of visible particles. Our results demonstrate that the combination of Raman spectroscopy and machine learning can provide a simple and accurate data analysis approach for visible particle identification.
DOI10.1208/s12249-022-02335-4
URL查看原文
收录类别sci
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/67232
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
H. Sheng,Y. P. Zhao,X. A. Long,et al. Visible Particle Identification Using Raman Spectroscopy and Machine Learning[J]. Aaps Pharmscitech,2022,23(6):12.
APA H. Sheng.,Y. P. Zhao.,X. A. Long.,L. W. Chen.,B. Li.,...&L. Mi and J. Ma.(2022).Visible Particle Identification Using Raman Spectroscopy and Machine Learning.Aaps Pharmscitech,23(6),12.
MLA H. Sheng,et al."Visible Particle Identification Using Raman Spectroscopy and Machine Learning".Aaps Pharmscitech 23.6(2022):12.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Visible Particle Ide(2844KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[H. Sheng]的文章
[Y. P. Zhao]的文章
[X. A. Long]的文章
百度学术
百度学术中相似的文章
[H. Sheng]的文章
[Y. P. Zhao]的文章
[X. A. Long]的文章
必应学术
必应学术中相似的文章
[H. Sheng]的文章
[Y. P. Zhao]的文章
[X. A. Long]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Visible Particle Identification Using Raman Sp.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。