Modelling and Optimization of Ultrasound Assisted Extraction of Polyphenols Using Response Surface Methodology.

Mango seed kernels are by-products of the
consumption and transformation of mango fruits (Mangifera
indica L.). Many ways of valorisation have been proposed, and
among them, their phenolic compounds extraction. To increase
the extraction yield, ultrasound-assisted extraction was
modelled and optimized. The 4 factors Central Composite
design associated with the Response Surface Methodology
(RSM) were used to achieve that goal. The effect of extraction
time, temperature, stirring rate and the Ultrasound Amplitude,
on the total phenolic compound extraction yield and the total
reducing power of the extract, were studied and modelled. The
modelling allows us to do a multi-response optimization to
identify the best-operating conditions to achieve at the same
time the highest extraction yield and antioxidant capacity. The
optimal operating conditions achieved were 41.82 min of
extraction time, 54.75⁰C as extraction time, under 266.67 rpm as
stirring rate, and 100% ultrasound amplitude. With an expected
extraction yield of 71.35 mg GA/g, and 123.058 mg AA/g of total
reducing power. 2 extraction cycles, under these conditions, are
enough to extract a maximum of the phenolic content, under the
described conditions.