scholarly journals Degradation of dichloroacetonitrile by a UV/peroxymonosulfate process: modeling and optimization based on response surface methodology (RSM)

RSC Advances ◽  
2018 ◽  
Vol 8 (59) ◽  
pp. 33681-33687 ◽  
Author(s):  
Xing Zhang ◽  
Jilun Yao ◽  
Wei Peng ◽  
Wensi Xu ◽  
Zhongguo Li ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Modeling ◽  
Degradation Process ◽  
Modeling And Optimization

Response surface methodology (RSM) was utilized to model and optimize the dichloroacetonitrile (DCAN) degradation process by UV/PMS.

scholarly journals Application of Response Surface Methodology in Food Process Modeling and Optimization

2021 ◽  
Author(s):  
Solomon Worku Kidane
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Modeling ◽  
Response Surfaces ◽  
Experimental Designs ◽  
Food Manufacturing ◽  
Modeling And Optimization ◽  
Product Formulation ◽  
Input And Output ◽  
Quality Response

Modeling and optimization is an important task in food manufacturing. It enables one to understand and describe processes which in turn help establish quantified relationship between input and output variables. Modeling and optimization help to make informed decision on a process with the objective of improving efficiency and minimizing cost while maintaining quality. Response surface Methodology (RSM) has been employed in modeling and optimizing several food processing operations including baking, cooking, roasting, drying, extrusion, fermentation and many others. Moreover, RSM has been extensively used in product formulation and ingredient optimization. This chapter describes the application of RSM in food process modeling and optimization. The steps to be followed, the experimental designs that can be used and the interpretation of response surfaces developed are described. Moreover, selected application of RSM in food process modeling and optimization are reviewed and presented.

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