Optimizing functional properties of perilla protein isolate using the response surface methodology

Bibliographic Details
Title: Optimizing functional properties of perilla protein isolate using the response surface methodology
Authors: HE, Dongliang, ZHANG, Zhijun, LI, Huizhen, XIA, Yaoyao, LI, Xiaojun, CHEN, Tie
Source: Food Science and Technology. June 2018 38(2)
Publisher Information: Sociedade Brasileira de Ciência e Tecnologia de Alimentos, 2018.
Publication Year: 2018
Subject Terms: ultrasound-assisted extraction, perilla protein isolate, protein yield, functional properties, thermal stability, polypeptide profile
More Details: Response surface methodology (RSM) was used to optimize the ultrasound-assisted extraction parameters of perilla protein isolate (PPI), which has functional properties. A central composite experimental design was applied to investigate the effects of three factors (ultrasonic power, extraction time, and liquid-to-solid ratio) on six responses: protein yield, water solubility index (WSI), water absorption capacity (WAC), oil holding capacity (OHC), emulsifying activity (EA), and foaming ability (FA). Based on the RSM results, the optimum conditions were an ultrasonic power of 206 W, and extraction time of 32.4 min, and a liquid-to-solid ratio of 10.34:1. Under these conditions, PPI had high protein yield (26.1%) and functional properties (55.2% WSI, 3.6% WAC, 1.76 g/g OHC, 60.25 m2/g EA, 63.2% FA). Differential scanning calorimetry revealed that PPI was slightly denatured at 75.16 °C, and the amount of heat required to induce this denaturation was 0.03 J/g. SDS-PAGE presented protein bands that ranged from 14.4 to 66.2 kDa. Based on its functional properties, PPI can be used in the food industry.
Document Type: article
File Description: text/html
Language: English
ISSN: 0101-2061
DOI: 10.1590/1678-457x.00817
Access URL: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612018000200348
Rights: info:eu-repo/semantics/openAccess
Accession Number: edssci.S0101.20612018000200348
Database: SciELO
More Details
ISSN:01012061
DOI:10.1590/1678-457x.00817
Published in:Food Science and Technology
Language:English