Pectin extraction from Helianthus annuus (sunflower) heads using RSM and ANN modelling by a genetic algorithm approach

被引:62
作者
Muthusamy, Shanmugaprakash [1 ]
Manickam, Lakshmi Priya [1 ]
Murugesan, Venkateshprabhu [2 ]
Muthukumaran, Chandrasekaran [3 ]
Pugazhendhi, Arivalagan [4 ]
机构
[1] Kumaraguru Coll Technol, Dept Biotechnol, Downstream Proc Lab, Coimbatore, Tamil Nadu, India
[2] SRM Univ, Sch Bioengn, Dept Biotechnol, Fermentat Bioengn Lab, Chennai, Tamil Nadu, India
[3] Govt Coll Technol, Dept Ind Biotechnol, Bioproc Lab, Coimbatore, Tamil Nadu, India
[4] Ton Duc Thang Univ, Fac Environm & Labour Safety, Innovat Green Prod Synth & Renewable Environm Dev, Ho Chi Minh City, Vietnam
关键词
Pectin; Response surface methodology; Helianthus annuus (sunflower); ULTRASOUND-ASSISTED EXTRACTION; RESPONSE-SURFACE METHODOLOGY; ARTIFICIAL NEURAL-NETWORK; ACID-EXTRACTION; OPTIMIZATION; WASTE; POLYSACCHARIDES; IONS;
D O I
10.1016/j.ijbiomac.2018.11.036
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In this work, Response Surface Methodology (RSM) and Artificial Neural Network coupled with genetic algorithm (ANN-GA) have been used to develop a model and optimise the conditions for the extraction of pectin from sunflower heads. Input parameters were extraction time (10-20 min), temperature (40-60 degrees C), frequency (30-60 Hz), solid/liquid ratio (S/L) (1:20-1:40 g/mL) while pectin yield (PY%) was the output. Results showed that ANN-GA had a higher prediction efficiency than RSM. Using ANN as the fitness function, a maximum pectin yield of 29.1 +/- 0.07% was searched by genetic algorithm at the time of 10 min, temperature of 59.9 degrees C, frequency of 30 Hz, and solid liquid ratio of 1:29.9 g/mL while the experimental value was found to be 29.5 +/- 0.7%. Extracted pectin was characterised by FTIR and C-13 NMR. Thus, ANN coupled GA has proved to be the effective method for the optimization of process parameters for pectin extraction from sunflower heads. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:750 / 758
页数:9
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