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
刚刚
嘉的科研完成签到,获得积分10
刚刚
左左曦完成签到,获得积分10
刚刚
宁静致远完成签到,获得积分10
1秒前
Wonderland完成签到,获得积分10
1秒前
路明非完成签到,获得积分10
1秒前
1752795896完成签到,获得积分10
2秒前
2秒前
培乐多完成签到,获得积分10
3秒前
小小怪下士完成签到,获得积分10
3秒前
sagitar应助科研通管家采纳,获得20
3秒前
SciGPT应助科研通管家采纳,获得10
3秒前
FashionBoy应助科研通管家采纳,获得10
3秒前
FashionBoy应助科研通管家采纳,获得10
3秒前
bkagyin应助科研通管家采纳,获得10
4秒前
领导范儿应助科研通管家采纳,获得10
4秒前
我是老大应助科研通管家采纳,获得10
4秒前
隐形曼青应助科研通管家采纳,获得10
4秒前
神勇雨双完成签到,获得积分10
4秒前
Owen应助科研通管家采纳,获得10
4秒前
彭于晏应助科研通管家采纳,获得10
4秒前
奶黄包完成签到 ,获得积分10
4秒前
LYW应助科研通管家采纳,获得10
4秒前
sagitar应助科研通管家采纳,获得20
4秒前
斯文的捕完成签到 ,获得积分10
4秒前
bkagyin应助科研通管家采纳,获得10
4秒前
4秒前
cx应助科研通管家采纳,获得20
5秒前
5秒前
顾矜应助科研通管家采纳,获得10
5秒前
拓跋涵易发布了新的文献求助10
5秒前
明亮傲芙完成签到 ,获得积分10
5秒前
树袋熊完成签到,获得积分10
7秒前
123发布了新的文献求助10
8秒前
所所应助day_on采纳,获得10
8秒前
学术垃圾完成签到,获得积分20
8秒前
杨雄完成签到,获得积分10
8秒前
lilli完成签到,获得积分0
9秒前
小二郎应助thwj采纳,获得10
9秒前
房天川发布了新的文献求助10
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7247864
求助须知:如何正确求助?哪些是违规求助? 8870829
关于积分的说明 18713416
捐赠科研通 6926820
什么是DOI,文献DOI怎么找? 3198086
关于科研通互助平台的介绍 2373850
邀请新用户注册赠送积分活动 2172952