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Optimization of the enzymatic hydrolysis of rice protein by different enzymes using the response surface methodology.

ABSTRACT: The optimization of the enzymatic hydrolysis of rice protein was determined using an experimental design tool. The semi-purified protease of Bacillus licheniformis LBA 46 and commercial protease Alcalase 2.4 L were used to produce rice hydrolysates using pH values ranging from 6 to 10 and enzyme concentrations varying from 50 to 150 U/mL. The optimized conditions were validated, and using the chosen conditions (pH 10 and 100 U/mL of protease), it was possible to confirm that the model was predictive for oxygen radical absorbance capacity (ORAC) and ferric reducing antioxidant power (FRAP) responses. The experimental values for the ORAC and FRAP responses were 940 and 18.78 TE µmol/g for the rice protein hydrolysates prepared with LBA protease and 1001.94 and 19.31 TE µmol/g for the rice protein hydrolysates prepared with Alcalase 2.4 L. After optimization of the enzymatic hydrolysis conditions, the antioxidant activity values increased when compared to the values for the intact rice protein: 324.97 TE µmol/g (ORAC) and 6.14 TE µmol/g (FRAP). It was also observed that the LBA protease had an action similar to the commercial protease, showing its potential for application in protein hydrolysis.

SUBMITTER: Dos Santos Aguilar JG

PROVIDER: S-EPMC6087507 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Optimization of the enzymatic hydrolysis of rice protein by different enzymes using the response surface methodology.

Dos Santos Aguilar Jessika Gonçalves JG de Castro Ruann Janser Soares RJS Sato Helia Harumi HH

3 Biotech 20180811 8

The optimization of the enzymatic hydrolysis of rice protein was determined using an experimental design tool. The semi-purified protease of <i>Bacillus licheniformis</i> LBA 46 and commercial protease Alcalase 2.4 L were used to produce rice hydrolysates using pH values ranging from 6 to 10 and enzyme concentrations varying from 50 to 150 U/mL. The optimized conditions were validated, and using the chosen conditions (pH 10 and 100 U/mL of protease), it was possible to confirm that the model was ...[more]

PMID: 30105197

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Project description:The aim of this work was to demonstrate an optimization methodology to reliably obtain stable macrodispersions (i.e., for ≥24 h) of carbon nanotubes in water using sonication. Response surface methodology (RSM) was utilized to assess and optimize the sonication parameters for the process. The studied input parameters were (i) sonication time (duration), (ii) amplitude (of vibration), and (iii) pulse-on/off (duration) of the sonicator. The analyzed responses were mean diameter and size distribution of multiwalled carbon nanotube (MWNT) aggregates in water, which were measured by the dynamic light scattering technique. A semiempirical model was developed and statistically tested to estimate the magnitude of sonicator parameters required to obtain specified MWNT macrodispersions (i.e., aggregates' mean diameter and distribution) in water. The results showed that MWNT aggregates of 2 ± 0.5 μm can be obtained by optimizing sonicator parameters to a sonication time of 89 s, amplitude of 144 μm, and pulse-on/off cycle of 44/30 s. These process settings for 100 mg/L MWNTs in a 30 mL aliquot of deionized water would consume 863 J/mL of sonication energy. Contrary to the popular belief, "sonication time" and/or "sonication energy input" were not found to be proportional to the degree of dispersion of MWNTs in water. This might be the reason for the frequent disparity and nonreproducibility of sonication results reported in scientific literature, especially for dispersing nanomaterials in a number of different systems. The amplitude of vibration was noted to be the most sensitive parameter affecting MWNT aggregates' diameter and distribution in water. The characterization of MWNTs was performed using electron microscopy, surface area analyzer, thermogravimetric analyzer, and zeta potential analyzer. This study can be helpful in evaluating sonication dispersion of particulate matter in other incompressible fluids such as graphene dispersion in organic solvents.

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Optimization of the enzymatic hydrolysis of rice protein by different enzymes using the response surface methodology.

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Optimization of the enzymatic hydrolysis of rice protein by different enzymes using the response surface methodology.

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