title: Combining the genetic algorithm and successive projection algorithm for the selection of feature wavelengths to evaluate exudative characteristics in frozen-thawed fish muscle.
abstract: The potential use of feature wavelengths for predicting drip loss in grass carp fish, as affected by being frozen at -20°C for 24 h and thawed at 4°C for 1, 2, 4, and 6 days, was investigated. Hyperspectral images of frozen-thawed fish were obtained and their corresponding spectra were extracted. Least-squares support vector machine and multiple linear regression (MLR) models were established using five key wavelengths, selected by combining a genetic algorithm and successive projections algorithm, and this showed satisfactory performance in drip loss prediction. The MLR model with a determination coefficient of prediction (R(2)P) of 0.9258, and lower root mean square error estimated by a prediction (RMSEP) of 1.12%, was applied to transfer each pixel of the image and generate the distribution maps of exudation changes. The results confirmed that it is feasible to identify the feature wavelengths using variable selection methods and chemometric analysis for developing on-line multispectral imaging.
authors.affiliation: College of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510641, China.
authors.forename: Jun-Hu
authors.initials: JH
authors.lastname: Cheng
authors.affiliation: College of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510641, China; Food Refrigeration and Computerized Food Technology, Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Belfield, Dublin 4, Ireland. Electronic address: dawen.sun@ucd.ie.
authors.forename: Da-Wen
authors.initials: DW
authors.lastname: Sun
authors.affiliation: College of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510641, China.
authors.forename: Hongbin
authors.initials: H
authors.lastname: Pu
mesh_terms: D000465:Algorithms; D000818:Animals; D002347:Carps; D004867:Equipment Design; D005504:Food Analysis / Q000295:instrumentation / Q000379:methods*; D005519:Food Preservation; D063427:Food Quality; D016018:Least-Squares Analysis; D016014:Linear Models; D008962:Models, Theoretical; D015999:Multivariate Analysis; D009132:Muscles / Q000737:chemistry*; D017747:Seafood / Q000032:analysis* / Q000592:standards; D019265:Spectroscopy, Near-Infrared; D060388:Support Vector Machine
keywords: Frozen–thawed; Grass carp; LS-SVM; Multispectral imaging; Variable selection