Response surface optimisation for the extraction of phenolics and flavonoids from a pink guava puree industrial by-product: Phenolic extraction from guava by-product (original) (raw)
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In this study phenolic compounds extraction from grape byproducts was conducted using pure water as a solvent. High temperatures and low time incubation periods were used in the aim of reducing the cost of the process and heightening the phenolic compounds yield. Response surface methodology (RSM) was realized to study the effect of time and temperature on crushed and uncrushed grape pomace. The phenolic content was evaluated considering the quantity (total phenolics (TPC), flavonoids (FC), total monomeric anthocyanins (TMA) and tannins (TC)), and quality (antiradical activity (AA) and antioxidant capacity (AC)) of the extracts. High temperature low time extraction design used in this study was compared to the extraction process at moderate temperatures with relatively long periods of time. This was proved to ameliorate the quantitative extraction of phenolic compounds from grape pomace without affecting their bioactivity. Moreover, multiple response optimization showed the optimal extraction parameters to be 81?C and 140 minutes for the unmilled pomace samples, and 88?C and 5 minutes for the milled. TPC, FC, TMA, TC, AA and AC are almost the same for both optimums. Thus the possibility of replacing the milling process by the extraction time prolongation (for the unmilled pomace) of 135 minutes seems to be very plausible. HPLC analysis showed different quantity and diversity of extracted phenolics for the optimums. However this difference did not significantly affect the overall activity, showing that PC in the different extracts act in complete synergy all together leading to important biological properties. The obtained results using the extraction strategy adopted in this work could lead to several industrial applications.
Response Surface Methodology in Engineering Science, 2021
The response surface methodology (RSM) is a relevant mathematical and statistical tool for process optimization. A state of the art on the optimization of the extraction of phenolic compounds from Brassica has shown that this approach is not sufficiently used. The reason for this is certainly an apparent complexity in comparison with the implementation of a one-factor-at-a-time (OFAT) optimization. The objective of this chapter is to show how one implement the response surface methodology in a didactic way on a case study: the extraction of sinapine from mustard bran. Using this approach, prediction models have been developed and validated to predict the sinapine content extracted as well as the purity of the extract in sinapine. The methodology presented in this chapter can be reproduced on any other application in the field of process engineering.
Applied Environmental Research, 2020
Mango seed kernels (MSK), which are waste streams in mango processing industry, are good sources of phenolic compounds with high anti-oxidant, anti-bacterial, and anti-viral properties. These phenolic compounds are reported to have an increasing demand over the years in the quest for healthy ready-to-eat food and nutraceuticals. To recover these compounds from MSK, solid-liquid extraction (SLE) can simply be applied, although there is a knowledge gap in in the systematic exploration of this process for mango-based phenolic compounds. In this work, phenolic compounds were extracted from MSK through SLE using ethanol-water solvent system. A statistical-based approach was used to evaluate and optimize the extraction conditions in relation to yield of phenolic compounds from MSK. The central composite design together with response surface methodology was adopted to assess the effect of extraction temperature (30oC, 45oC, and 60oC) and ethanol concentration (25% – 75%) under fixed extrac...
This study aims to provide fundamental knowledge for the use of black goji berry and determine the optimum process parameters that produce maximum phenolics from black goji berry through accelerated solvent extraction (ASE). The optimal extractions of phenolics and antioxidants from black goji were explored via the ASE techniques, applying the response surface methodology (RSM) design. After reaching the optimal conditions for single factors, the optimal ASE extraction conditions were found through a total of 17 runs following the Box-Behnken design (BBD) from RSM. The maximum yield of total phenolic content (TPC) was 17.92 mg GAE/g under the best extraction conditions: an extraction temperature of 89.38 • C, an ethanol concentration of 70% and an extraction time of 13 min. This study indicates that the optimal extraction conditions could serve as the scientific basis for scaled-up industrial production. Black goji berry could be a viable source of nutraceuticals due to the abundance of antioxidant and phenolic substances.