BibTex format

author = {Yang, Y and Velayudhan, A and Thornhill, NF and Farid, SS},
doi = {10.1002/bit.26329},
journal = {Biotechnology and Bioengineering},
pages = {2043--2056},
title = {Multi-criteria manufacturability indices for ranking high-concentration monoclonal antibody formulations},
url = {},
volume = {114},
year = {2017}

RIS format (EndNote, RefMan)

AB - The need for high-concentration formulations for subcutaneous delivery of therapeutic monoclonal antibodies (mAbs) can present manufacturability challenges for the final ultrafiltration/diafiltration (UF/DF) step. Viscosity levels and the propensity to aggregate are key considerations for high-concentration formulations. This work presents novel frameworks for deriving a set of manufacturability indices related to viscosity and thermostability to rank high-concentration mAb formulation conditions in terms of their ease of manufacture. This is illustrated by analysing published high-throughput biophysical screening data that explores the influence of different formulation conditions (pH, ions and excipients) on the solution viscosity and product thermostability. A decision tree classification method, CART (Classification and Regression Tree) is used to identify the critical formulation conditions that influence the viscosity and thermostability. In this work, three different multi-criteria data analysis frameworks were investigated to derive manufacturability indices from analysis of the stress maps and the process conditions experienced in the final UF/DF step. Polynomial regression techniques were used to transform the experimental data into a set of stress maps that show viscosity and thermostability as functions of the formulation conditions. A mathematical filtrate flux model was used to capture the time profiles of protein concentration and flux decay behaviour during UF/DF. Multi-criteria decision-making analysis was used to identify the optimal formulation conditions that minimize the potential for both viscosity and aggregation issues during UF/DF.
AU - Yang,Y
AU - Velayudhan,A
AU - Thornhill,NF
AU - Farid,SS
DO - 10.1002/bit.26329
EP - 2056
PY - 2017///
SN - 1097-0290
SP - 2043
TI - Multi-criteria manufacturability indices for ranking high-concentration monoclonal antibody formulations
T2 - Biotechnology and Bioengineering
UR -
UR -
VL - 114
ER -