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Appl. Sci. 2018, 8(1), 26; doi:10.3390/app8010026

Enhancement of Chlorophyll a Production from Marine Spirulina maxima by an Optimized Ultrasonic Extraction Process

1
Department of Medical Biomaterials Engineering, Kangwon National University, Chuncheon 200-701, Korea
2
Department of Food Science and Engineering, Seowon University, Cheongju 361-742, Korea
*
Author to whom correspondence should be addressed.
Received: 2 November 2017 / Revised: 13 December 2017 / Accepted: 20 December 2017 / Published: 25 December 2017
(This article belongs to the Special Issue Ultrasound in Extraction Processing)
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Abstract

Under the optimal ultrasonification extraction conditions of 20.52 kHz for the frequency, 32.59 °C for the temperature, and 4.91 h for the process time, 17.98 mg/g of chlorophyll a was obtained. It was much higher than 13.81 mg/g from conventional 70% ethanol extraction and even higher than other data from Spirulina. This yield was close to the predicted value of 18.21 mg/g from the second-order polynomial model with a regression coefficient of 0.969. This model showed the greatest significance with the ultrasonic frequency and process time and the least significance with the temperature. The extracts also showed high α,α-diphenyl-β-picrylhydrazyl (DPPH) radical scavenging activities as 69.38%, compared to 58.25% for the extracts from the 70% ethanol extraction. It was first shown that the optimal extraction was effective at enhancing the neuroprotective activities possibly due to the synergistic effects of higher amounts of chlorophyll a and other bioactive substances in the extract, revealing a 90% protection of the growth of mouse neuronal cells and a great reduction in Reactive Oxygen Species (ROS) production. View Full-Text
Keywords: Spirulina maxima; chlorophyll a; optimization; neuroprotective activities Spirulina maxima; chlorophyll a; optimization; neuroprotective activities
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Choi, W.Y.; Lee, H.Y. Enhancement of Chlorophyll a Production from Marine Spirulina maxima by an Optimized Ultrasonic Extraction Process. Appl. Sci. 2018, 8, 26.

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