Engineering team creates monitoring toolkit to speed production of biologic drugs @RutgersU https://t.co/qMRyp3RYE7 https://t.co/Neai90MOId
Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-Linked Glycosylation.
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Nov 2021 – Oct 2025Where it's discussed
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X / Twitter15 posts
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News11 articles
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YouTube3 videos
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Facebook2 posts
AI synopsis
What people are saying
The discussions convey strong support and curiosity about the innovative platform, exemplified by comments like 'creating monitoring toolkit to speed production' and highlighting its coverage in prominent publications. The tone emphasizes the technological advancement and potential for industrial impact, with words like 'speed' and 'automated' indicating excitement about its practical applications and importance in therapeutics manufacturing.
Most discussions acknowledge the significance of the research, especially highlighting its potential to improve biomanufacturing processes, with comments referencing the system's benefits and support from funding agencies.
The posts demonstrate high interest, with mentions of the platform being featured on covers, its role in speeding production, and its innovative approach, indicating enthusiasm and curiosity among readers.
Several posts delve into technical aspects, such as the automated monitoring and its applications in therapeutic glycoprotein production, showing a moderate level of detailed engagement.
Given the focus on accelerating biologic drug production and enhancing quality control, the discussions suggest the publication could have a meaningful impact on biopharmaceutical manufacturing.
Abstract in brief
- The development of the NGLYcanyzer system enables rapid, automated online monitoring of monoclonal antibody (mAb) glycosylation during biomanufacturing, enhancing process understanding and quality control in continuous production.
- The system integrates mAb sampling, deglycosylation, glycan labeling with fluorescent dyes, and glycan analysis within 3 hours, using advanced chromatography techniques and optimized fluorescent labeling methods to improve detection sensitivity.
- Implementation of this platform at upstream bioreactors allows real-time, near-instantaneous monitoring of glycosylation patterns in biologics like Trastuzumab, supporting more efficient and flexible biomanufacturing processes aligned with regulatory expectations.
Top posts
Most liked on X and BlueskyAn Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-linked Glycosylation https://t.co/si9qcd4sCK #bioRxiv
An Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-linked Glycosylation https://t.co/sOpsxhRfqA #glycotime
Aron’s paper highlighting this process analytical technology to enable therapeutic glycoproteins production was published as a cover article in ACS Analytical Chemistry this week (https://t.co/qYZQHYrc9F). Special thanks to the @US_FDA for funding this research! @ACSPublications
RT @physorg_com: Engineering team creates monitoring toolkit to speed production of biologic drugs @RutgersU https://t.co/qMRyp3RYE7 https:…
RT @physorg_com: Engineering team creates monitoring toolkit to speed production of biologic drugs @RutgersU https://t.co/qMRyp3RYE7 https:…
All mentions
Automated Monitoring of Monoclonal Antibody Glycosylation with NGLYcanyzer
The development of the NGLYcanyzer system enables rapid, automated online monitoring of monoclonal antibody glycosylation during biomanufacturing, enhancing process understanding and quality control with real-time…
Automated Monitoring of Monoclonal Antibody Glycosylation in Biomanufacturing
The development of the NGLYcanyzer system enables rapid, automated online monitoring of monoclonal antibody glycosylation during biomanufacturing, enhancing process understanding and quality control in continuous…
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RT @physorg_com: Engineering team creates monitoring toolkit to speed production of biologic drugs @RutgersU https://t.co/qMRyp3RYE7 https:…
RT @physorg_com: Engineering team creates monitoring toolkit to speed production of biologic drugs @RutgersU https://t.co/qMRyp3RYE7 https:…
RT @an_chem: Work from the @sps_chundawat lab is featured on the cover of our latest issue! Check out their integrated platform, N-GLYcanyz…
RT @an_chem: Work from the @sps_chundawat lab is featured on the cover of our latest issue! Check out their integrated platform, N-GLYcanyz…
RT @an_chem: Work from the @sps_chundawat lab is featured on the cover of our latest issue! Check out their integrated platform, N-GLYcanyz…
RT @an_chem: Work from the @sps_chundawat lab is featured on the cover of our latest issue! Check out their integrated platform, N-GLYcanyz…
RT @sps_chundawat: Aron’s paper highlighting this process analytical technology to enable therapeutic glycoproteins production was publishe…
Aron’s paper highlighting this process analytical technology to enable therapeutic glycoproteins production was published as a cover article in ACS Analytical Chemistry this week (https://t.co/qYZQHYrc9F). Special thanks to the @US_FDA for funding this research! @ACSPublications
RT @physorg_com: Engineering team creates monitoring toolkit to speed production of biologic drugs @RutgersU https://t.co/qMRyp3RYE7 https:…
Engineering team creates monitoring toolkit to speed production of biologic drugs @RutgersU https://t.co/qMRyp3RYE7 https://t.co/Neai90MOId
Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-Linked Glycosylation https://t.co/CguGbsCSGD
RT @biorxivpreprint: An Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-linked Glycosylation http…
An Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-linked Glycosylation https://t.co/sOpsxhRfqA #glycotime
RT @biorxivpreprint: An Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-linked Glycosylation http…
An Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-linked Glycosylation https://t.co/si9qcd4sCK #bioRxiv
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