JIANG Kun, YE Huanfeng, YE Qinxuan, et al. Optimization Technology of Ultrasonic Degradation of Polymeric Prodelphinidin by Response Surface Methodology and Its Antioxidant Activity[J]. Science and Technology of Food Industry, 2021, 42(13): 221−229. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020100222.
Citation: JIANG Kun, YE Huanfeng, YE Qinxuan, et al. Optimization Technology of Ultrasonic Degradation of Polymeric Prodelphinidin by Response Surface Methodology and Its Antioxidant Activity[J]. Science and Technology of Food Industry, 2021, 42(13): 221−229. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020100222.

Optimization Technology of Ultrasonic Degradation of Polymeric Prodelphinidin by Response Surface Methodology and Its Antioxidant Activity

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  • Received Date: October 26, 2020
  • Available Online: April 20, 2021
  • In this research, polymeric prodelphinidins (PPs) were extracted and prepared from bayberry leaves and characterized using HPLC-DAD-ESIMS. Then effects of ultrasonic time, temperature, power and duty cycle on PPs were analyzed using one single factor test. On the above bases, the response surface methodology with Box-Behnken design was employed to study the ultrasonic conditions. Furthermore, the antioxidant capacity of PPs were determined before and after ultrasonic treatment by DPPH· and ABTS·+ methods. The results showed that yield of PPs from bayberry leaves was 5.96% (dry weight) with an average degree of polymerization of 27.8 and with a main structural component of EGCG. Ultrasonic treatments with different conditions had different influence on PPs degradation. Factors of ultrasonic time, temperature, power and duty cycle had significant effects (P<0.05). The optimized ultrasonic conditions were as follows: Ultrasonic time 74 min, temperature 44 ℃, ultrasonic power 361 W, and duty cycle 67%. Under these conditions, the yield of oligomeric prodelphinidins was 17.31%. After sonication, PPs possessed more significant antioxidant capacity than before (P<0.01).
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