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Pulsed electric field combined with microwave-assisted extraction of pectin polysaccharide from jackfruit waste
Innovative Food Science & Emerging Technologies ( IF 6.6 ) Pub Date : 2021-09-30 , DOI: 10.1016/j.ifset.2021.102844
A.M. Nandhu Lal 1 , M.V. Prince 1 , Anjineyulu Kothakota 2 , R. Pandiselvam 3 , Rohit Thirumdas 4 , Naveen Kumar Mahanti 5 , R. Sreeja 1
Affiliation  

The present methodology uses the combination of pulsed electric fields (PEF) and microwave-assisted extraction (MAE) of pectin from the jackfruit wastes. Two optimization tools such as Box-Behnken design (BBD) and artificial neural network (ANN) were used to study the extraction yields. The optimized operating conditions obtained after desirability analysis were PEF strength (11.99 kV/cm), PEF treatment time (5.47 min), followed by MAE at power density (647.30 W/g) and time of exposure (5.00 min). From the optimization results, the R2 values of BBD ranged from 0.89 to 0.98 as well as the SSE (sum of squared error) values varied across 0.076 to 0.781 whereas R2 values of ANN fluctuated around 0.95 to 0.99 and MSE (mean squared error) values varied from 0.008 to 0.1. It was observed the ANN was found to be more superior in execution than the BBD model. The extracted pectin was analyzed for structural and functional properties with the comparison to conventionally extracted pectin. The degree of esterification and methoxyl percentage of PEF and MAE pectin was less than the conventionally extracted pectin. The experimental and predicted values were similar for the pectin yield (%), but a higher prediction rate was observed in ANN modelling than BBD. Scanning Electron Micrographs showed an increased rupture and severing of parenchymal cells attributing to enhance extraction yields. Therefore, it can be concluded that the pulsed electric field treatment followed by microwave-assisted extraction resulted in higher pectin extraction with enhanced functional properties than the conventional method.



中文翻译:

脉冲电场联合微波辅助提取菠萝蜜果胶多糖

本方法结合使用脉冲电场 (PEF) 和微波辅助提取 (MAE) 从菠萝蜜废物中提取果胶。Box-Behnken 设计 (BBD) 和人工神经网络 (ANN) 等两种优化工具用于研究提取率。合意性分析后获得的优化操作条件是 PEF 强度 (11.99 kV/cm)、PEF 处理时间 (5.47 分钟),其次是功率密度下的 MAE (647.30 W/g) 和暴露时间 (5.00 分钟)。从优化结果来看,BBD的 R 2值范围从 0.89 到 0.98 以及 SSE(误差平方和)值在 0.076 到 0.781 之间变化,而 R 2ANN 的值在 0.95 到 0.99 左右波动,MSE(均方误差)值从 0.008 到 0.1 不等。据观察,ANN 在执行上比 BBD 模型更优越。分析提取的果胶的结构和功能特性,并与常规提取的果胶进行比较。PEF和MAE果胶的酯化度和甲氧基百分比低于常规提取的果胶。果胶产量 (%) 的实验值和预测值相似,但在 ANN 建模中观察到的预测率高于 BBD。扫描电子显微照片显示实质细胞的破裂和切断增加,这归因于提高提取率。所以,

更新日期:2021-10-04
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