Optimization of Microwave-Assisted Extraction of Total Phenolic Compounds from Mesona Chinensis Bentham

Authors

  • Artit Dujeto Faculty of Engineering and Agro-Industry,Maejo University 63 moo 4,T.Nonghan,A.Sansai 52090, Chiang Mai, Thailand Tel; +66-5387500-5015 Fax; +66-53498902
  • Chanawat Nitatwichit Faculty of Engineering and Agro-Industry,Maejo University 63 moo 4,T.Nonghan,A.Sansai 52090, Chiang Mai, Thailand Tel; +66-5387500-5015 Fax; +66-53498902
  • Kanjana Narkprasom Faculty of Engineering and Agro-Industry,Maejo University 63 moo 4,T.Nonghan,A.Sansai 52090, Chiang Mai, Thailand Tel; +66-5387500-5015 Fax; +66-53498902
  • Yardfon Tanongkanki Faculty of Engineering and Agro-Industry,Maejo University 63 moo 4,T.Nonghan,A.Sansai 52090, Chiang Mai, Thailand Tel; +66-5387500-5015 Fax; +66-53498902
  • Nukrob Narkprasom Faculty of Engineering and Agro-Industry,Maejo University 63 moo 4,T.Nonghan,A.Sansai 52090, Chiang Mai, Thailand Tel; +66-5387500-5015 Fax; +66-53498902

Abstract

Mesona chinensis Bentham is a popular food in China and Southeast Asia, known as a sweet treat and a healthy drink. The objective of this research was to determine the optimum conditions for extraction of phenolic compounds by microwave assisted extraction technique. The influence of the factors studied included raw material to solvent ratio, extraction time and microwave power. The factorial 2 levels design, steepest ascent design and response surface design were applied and statistically analyzed to determine optimal conditions. The study found that optimum extraction conditions for total phenolic compounds were highest (69.70 µgGAE/g of dry weight) at a raw material to solvent ratio of 1:435 g/ml, 50 min of extraction time and 450 watts of microwave power. This research can be applied to make quality grass jelly extract that has beneficial properties for health which can be applied in the food and pharmaceutical industries from agricultural product extracts.                        Keywords :  Microwave Assisted Extraction ; Mesona chinensis Bentham ; Response surface method ; Optimization

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Published

2022-09-02