Model‐based control for column‐based continuous viral inactivation of biopharmaceuticals
2021 · Biotechnology and Bioengineering
저자
홍무선 (Moo Sun Hong), Amos E. Lu, Rui Wen Ou, Jacqueline M. Wolfrum, Stacy L. Springs, Anthony J. Sinskey, Richard D. Braatz
연구주제
Viral Infectious Diseases and Gene Expression in Insects · Control Systems and Identification · Fluid Dynamics and Mixing
NTIS 과학기술표준분류
가장 가까운 분류(생명과학 > 바이오공정/기기)가 화학·화공 범위 밖이다. 배정 근거: 지원 과제·키워드 근거가 없어 AI가 논문 제목·초록을 읽고 고른 분류.
AI 연구 키워드·방법
biopharmaceutical manufacturing continuous viral inactivation ph control
bayesian estimation model based control
키워드 (OpenAlex)
enveloped viruses biopharmaceutical manufacturing model-based control Bayesian estimation residence time distribution tubular reactor axial dispersion continuous process
초록
Batch low-pH hold is a common processing step to inactivate enveloped viruses for biologics derived from mammalian sources. Increased interest in the transition of biopharmaceutical manufacturing from batch to continuous operation resulted in numerous attempts to adapt batch low-pH hold to continuous processing. However, control challenges with operating this system have not been directly addressed. This article describes a low-cost, column-based continuous viral inactivation system constructed with off-the-shelf components. Model-based, reaction-invariant pH controller is implemented to account for the nonlinearities with Bayesian estimation addressing variations in the operation. The residence time distribution is modeled as a plug flow reactor with axial dispersion in series with a continuously stirred tank reactor, and is periodically estimated during operation through inverse tracer…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
NTIS 성과DB(2020–24)에서 DOI 매칭 없음
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동