@inproceedings{593e713fc42244a8baf51fdb378a69ad,
title = "Developing a linearization method to determine an optimum formulation in surimi blend with varied moisture content using linear programming",
abstract = "Novel algorithm to determine the least cost formulation of a surimi blend using linear programming and each surimi properties was developed. Texture properties and the unit cost of surimi blend at the target moisture content were used as constraint functions and the objective function, respectively. The mathematical models to describe the moisture content dependence of the breaking force and the penetration distance were developed using critical moisture content, and the model parameters were used for linearization of moisture content dependence before applying linear programming to determine the optimum formulation. The LCLP model successfully predicted the quality of surimi blend (p < 0.05). Sensitivity analysis was used to provide an additional information when the perturbations of design variables are provided. A standard procedure to determine the least cost formulation of surimi blend having varied moisture content was systematically developed.",
keywords = "Critical moisture content, Linear programming, Surimi, Texture map",
author = "Park, {Hyeon Woo} and Park, {Jae W.} and Yoon, {Won Byong}",
note = "Funding Information: This study has been worked with the support of a research grant of Kangwon National University in 2016.; 3rd International Food Operations and Processing Simulation Workshop, FoodOPS 2017 ; Conference date: 18-09-2017 Through 20-09-2017",
year = "2017",
language = "English",
series = "International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017",
publisher = "CAL-TEK S.r.l.",
pages = "16--24",
editor = "Agostino Bruzzone and Piera, {Miquel Angel} and Giuseppe Vignali and Francesco Longo",
booktitle = "International Food Operations and Processing Simulation Workshop, FoodOPS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017",
}