Real‐time monitoring of quality attributes by in‐line Fourier transform infrared spectroscopic sensors at ultrafiltration and diafiltration of bioprocess

渗滤 过程分析技术 超滤(肾) 工艺工程 生物过程 偏最小二乘回归 可视化 计算机科学 傅里叶变换 过程(计算) 生物系统 数据挖掘 化学 工程类 色谱法 机器学习 数学 数学分析 生物化学 化学工程 生物 微滤 操作系统
作者
Dhanuka P. Wasalathanthri,Hasin Feroz,Neha Puri,Jessica Hung,Gregory C. Lane,Melissa Holstein,Letha Chemmalil,Douglas Both,Sanchayita Ghose,Julia Ding,Zheng Jian Li
出处
期刊:Biotechnology and Bioengineering [Wiley]
卷期号:117 (12): 3766-3774 被引量:30
标识
DOI:10.1002/bit.27532
摘要

Technologies capable of monitoring product quality attributes and process parameters in real time are becoming popular due to the endorsement of regulatory agencies and also to support the agile development of biotherapeutic pipelines. The utility of vibrational spectroscopic techniques such as Fourier transform mid-infrared (Mid-IR) and multivariate data analysis (MVDA) models allows the prediction of multiple critical attributes simultaneously in real time. This study reports the use of Mid-IR and MVDA model sensors for monitoring of multiple attributes (excipients and protein concentrations) in real time (measurement frequency of every 40 s) at ultrafiltration and diafiltration (UF/DF) unit operation of biologics manufacturing. The platform features integration of fiber optic Mid-IR probe sensors to UF/DF set up at the bulk solution and through a flow cell at the retentate line followed by automated Mid-IR data piping into a process monitoring software platform with pre-loaded partial least square regression (PLS) chemometric models. Data visualization infrastructure is also built-in to the platform so that upon automated PLS prediction of excipients and protein concentrations, the results were projected in a graphical or numerical format in real time. The Mid-IR predicted concentrations of excipients and protein show excellent correlation with the offline measurements by traditional analytical methods. Absolute percent difference values between Mid-IR predicted results and offline reference assay results were ≤5% across all the excipients and the protein of interest; which shows a great promise as a reliable process analytical technology tool.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
周周发布了新的文献求助10
1秒前
丸子发布了新的文献求助10
2秒前
3秒前
莫道桑榆完成签到,获得积分10
3秒前
wanci应助sherlock采纳,获得10
3秒前
4秒前
璃月稻妻完成签到,获得积分10
4秒前
Winkids完成签到,获得积分10
4秒前
4秒前
5秒前
6秒前
坦率发布了新的文献求助10
6秒前
Lucycomplex完成签到,获得积分10
6秒前
6秒前
Lucas应助认真的砖家采纳,获得10
8秒前
BIGDUCK发布了新的文献求助10
9秒前
隐形曼青应助心随以动采纳,获得10
9秒前
9秒前
9秒前
ziang发布了新的文献求助10
9秒前
9秒前
Lliu完成签到,获得积分10
9秒前
所所应助羞涩的向秋采纳,获得10
11秒前
Longer发布了新的文献求助30
11秒前
SciGPT应助土豪的发带采纳,获得10
12秒前
流川枫发布了新的文献求助10
13秒前
HollidayLee完成签到,获得积分10
13秒前
naomi发布了新的文献求助10
14秒前
KING完成签到,获得积分10
15秒前
科研通AI6.1应助科滴滴采纳,获得20
15秒前
15秒前
大模型应助抠鼻公主采纳,获得10
17秒前
Maestro_S发布了新的文献求助100
17秒前
17秒前
打打应助心随以动采纳,获得10
17秒前
甜甜电源发布了新的文献求助10
17秒前
18秒前
19秒前
太阳发布了新的文献求助10
20秒前
量子星尘发布了新的文献求助10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6048142
求助须知:如何正确求助?哪些是违规求助? 7830344
关于积分的说明 16258668
捐赠科研通 5193539
什么是DOI,文献DOI怎么找? 2778922
邀请新用户注册赠送积分活动 1762264
关于科研通互助平台的介绍 1644479