Optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology.

The by-products generated from industrial filleting of tilapia surimi can be used for the manufacture of surimi. The surimi production uses large amounts of water, which generates a wastewater rich in organic compounds (lipids, soluble proteins and blood). Optimizing the number of washing cycles will contribute to a more sustainable production. A mathematical model of mechanically recovered tilapia meat (Oreochromis niloticus) for the processing of surimi (minced fish washing cycles and tapioca starch addition) based on two quality parameters (texture and moisture) was constructed by applying the response surface methodology (RSM). Each factor had an important effect on the moisture and texture of surimi. This study found that the optimal formulation for producing the best surimi using the by-products of tilapia filleting in manufacturing fish burger were the addition of 10% tapioca starch and three minced fish washing cycles. A microstructural evaluation supported the findings of the mathematical model.

Saved in:
Bibliographic Details
Main Authors: FOGACA, F. H. dos S., TRINCA, L. A., BOMBO, A. J., SANT'ANA, L. S.
Other Authors: FABIOLA HELENA DOS SANTOS FOGACA, CPAMN; LUZIA APARECIDA TRINCA, Instituto de Biociências de Botucatu, UNESP; ÁUREA JULIANA BOMBO, USP, Faculdade de Saúde Pública; LÉA SILVIA SANT’ANA, UNESP, Centro de Aqüicultura.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2013-07-18
Subjects:Moisture., Design and Statistical Analysis, Tilápia, Hamburger, Tecnologia de alimento, Shear Stress, Scanning Electron Microscopy.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/962441
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-alice-doc-962441
record_format koha
spelling dig-alice-doc-9624412017-08-16T01:57:14Z Optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology. FOGACA, F. H. dos S. TRINCA, L. A. BOMBO, A. J. SANT'ANA, L. S. FABIOLA HELENA DOS SANTOS FOGACA, CPAMN; LUZIA APARECIDA TRINCA, Instituto de Biociências de Botucatu, UNESP; ÁUREA JULIANA BOMBO, USP, Faculdade de Saúde Pública; LÉA SILVIA SANT’ANA, UNESP, Centro de Aqüicultura. Moisture. Design and Statistical Analysis Tilápia Hamburger Tecnologia de alimento Shear Stress Scanning Electron Microscopy. The by-products generated from industrial filleting of tilapia surimi can be used for the manufacture of surimi. The surimi production uses large amounts of water, which generates a wastewater rich in organic compounds (lipids, soluble proteins and blood). Optimizing the number of washing cycles will contribute to a more sustainable production. A mathematical model of mechanically recovered tilapia meat (Oreochromis niloticus) for the processing of surimi (minced fish washing cycles and tapioca starch addition) based on two quality parameters (texture and moisture) was constructed by applying the response surface methodology (RSM). Each factor had an important effect on the moisture and texture of surimi. This study found that the optimal formulation for producing the best surimi using the by-products of tilapia filleting in manufacturing fish burger were the addition of 10% tapioca starch and three minced fish washing cycles. A microstructural evaluation supported the findings of the mathematical model. 2013-07-18T11:11:11Z 2013-07-18T11:11:11Z 2013-07-18 2013 2013-07-18T11:11:11Z Artigo de periódico Journal of Food Quality, Malden, v. 36, n. 3, p. 209-216, June 2013. 1745-4557 http://www.alice.cnptia.embrapa.br/alice/handle/doc/962441 en eng openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Moisture.
Design and Statistical Analysis
Tilápia
Hamburger
Tecnologia de alimento
Shear Stress
Scanning Electron Microscopy.
Moisture.
Design and Statistical Analysis
Tilápia
Hamburger
Tecnologia de alimento
Shear Stress
Scanning Electron Microscopy.
spellingShingle Moisture.
Design and Statistical Analysis
Tilápia
Hamburger
Tecnologia de alimento
Shear Stress
Scanning Electron Microscopy.
Moisture.
Design and Statistical Analysis
Tilápia
Hamburger
Tecnologia de alimento
Shear Stress
Scanning Electron Microscopy.
FOGACA, F. H. dos S.
TRINCA, L. A.
BOMBO, A. J.
SANT'ANA, L. S.
Optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology.
description The by-products generated from industrial filleting of tilapia surimi can be used for the manufacture of surimi. The surimi production uses large amounts of water, which generates a wastewater rich in organic compounds (lipids, soluble proteins and blood). Optimizing the number of washing cycles will contribute to a more sustainable production. A mathematical model of mechanically recovered tilapia meat (Oreochromis niloticus) for the processing of surimi (minced fish washing cycles and tapioca starch addition) based on two quality parameters (texture and moisture) was constructed by applying the response surface methodology (RSM). Each factor had an important effect on the moisture and texture of surimi. This study found that the optimal formulation for producing the best surimi using the by-products of tilapia filleting in manufacturing fish burger were the addition of 10% tapioca starch and three minced fish washing cycles. A microstructural evaluation supported the findings of the mathematical model.
author2 FABIOLA HELENA DOS SANTOS FOGACA, CPAMN; LUZIA APARECIDA TRINCA, Instituto de Biociências de Botucatu, UNESP; ÁUREA JULIANA BOMBO, USP, Faculdade de Saúde Pública; LÉA SILVIA SANT’ANA, UNESP, Centro de Aqüicultura.
author_facet FABIOLA HELENA DOS SANTOS FOGACA, CPAMN; LUZIA APARECIDA TRINCA, Instituto de Biociências de Botucatu, UNESP; ÁUREA JULIANA BOMBO, USP, Faculdade de Saúde Pública; LÉA SILVIA SANT’ANA, UNESP, Centro de Aqüicultura.
FOGACA, F. H. dos S.
TRINCA, L. A.
BOMBO, A. J.
SANT'ANA, L. S.
format Artigo de periódico
topic_facet Moisture.
Design and Statistical Analysis
Tilápia
Hamburger
Tecnologia de alimento
Shear Stress
Scanning Electron Microscopy.
author FOGACA, F. H. dos S.
TRINCA, L. A.
BOMBO, A. J.
SANT'ANA, L. S.
author_sort FOGACA, F. H. dos S.
title Optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology.
title_short Optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology.
title_full Optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology.
title_fullStr Optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology.
title_full_unstemmed Optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology.
title_sort optimization of the surimi production from mechanically recovered fish meat (mrfm) using response surface methodology.
publishDate 2013-07-18
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/962441
work_keys_str_mv AT fogacafhdoss optimizationofthesurimiproductionfrommechanicallyrecoveredfishmeatmrfmusingresponsesurfacemethodology
AT trincala optimizationofthesurimiproductionfrommechanicallyrecoveredfishmeatmrfmusingresponsesurfacemethodology
AT bomboaj optimizationofthesurimiproductionfrommechanicallyrecoveredfishmeatmrfmusingresponsesurfacemethodology
AT santanals optimizationofthesurimiproductionfrommechanicallyrecoveredfishmeatmrfmusingresponsesurfacemethodology
_version_ 1756018508844498944