TY - JOUR
T1 - Real-time product release and process control challenges in the dairy milk powder industry
AU - Munir, Muhammad Tajammal
AU - Wilson, David I.
AU - Depree, Nick
AU - Boiarkina, Ira
AU - Prince-Pike, Arrian
AU - Young, Brent R.
N1 - Funding Information:
The authors would like to acknowledge the Primary Growth Partnership programme (PGP) from the New Zealand Ministry of Primary Industries for funding the project, and would also like to thank Fonterra for providing resources and support throughout this ongoing project.
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/10
Y1 - 2017/10
N2 - Real-time release testing in the dairy milk powder industry may potentially be achieved by implementing process analytical technology. Research advances have focused on the application of spectroscopic sensors and multivariate data analysis, while neglecting suitable process control strategies and decision-making tools to control critical quality attributes. Due to the unique characteristics of this industry, real-time release, and process control challenges need to be considered before achieving the goal of real-time product release. For example, complex quality attributes can be inferred using proxy measurement; the dependence of advanced analytical sensors can be minimised by using standard pressure/flow/temperature sensors; and investment is required in additional resources and skills for advanced analytical sensors, multivariate models, and control strategy development.
AB - Real-time release testing in the dairy milk powder industry may potentially be achieved by implementing process analytical technology. Research advances have focused on the application of spectroscopic sensors and multivariate data analysis, while neglecting suitable process control strategies and decision-making tools to control critical quality attributes. Due to the unique characteristics of this industry, real-time release, and process control challenges need to be considered before achieving the goal of real-time product release. For example, complex quality attributes can be inferred using proxy measurement; the dependence of advanced analytical sensors can be minimised by using standard pressure/flow/temperature sensors; and investment is required in additional resources and skills for advanced analytical sensors, multivariate models, and control strategy development.
UR - http://www.scopus.com/inward/record.url?scp=85029374094&partnerID=8YFLogxK
U2 - 10.1016/j.cofs.2017.08.005
DO - 10.1016/j.cofs.2017.08.005
M3 - Review article
AN - SCOPUS:85029374094
SN - 2214-7993
VL - 17
SP - 25
EP - 29
JO - Current Opinion in Food Science
JF - Current Opinion in Food Science
ER -