RT journal article
T1 Optimization of a Novel Method Based on Ultrasound-Assisted Extraction for the Quantification of Anthocyanins and Total Phenolic Compounds in Blueberry Samples (Vaccinium corymbosum L.)
A1 Aliaño González, María José
A1 Jarillo, José Antonio
A1 Carrera Fernández, Ceferino Adrián
A1 Ferreiro González, Marta
A1 Álvarez Saura, José Ángel
A1 Palma Lovillo, Miguel
A1 Ayuso Vilacides, Jesús
A1 Fernández Barbero, Gerardo
A1 Espada Bellido, Estrella
A2 Química Analítica
A2 Química Física
K1 anthocyanins
K1 antioxidants
K1 blueberry
K1 Box-Behnken design
K1 phenolic compounds
K1 response surface methodology
K1 ultra-high-performance liquid chromatography
K1 UHPLC
K1 UV-Vis
K1 Vaccinium corymbosum L.
AB In recent years, consumers' preference for fruits such as blueberry has increased noticeably. This fact is probably related to their bioactive components such as anthocyanins, phenolic compounds, vitamins, minerals, and tannins that have been found in blueberries by the latest research studies. Both total anthocyanins (TA) and total phenolic compounds (TPC) are known for their multiple beneficial effects on our health, due to their anti-inflammatory, anti-oxidant, and anti-cancer properties. This is the reason why the development of new methodologies for the quality control analysis of raw materials or derived products from blueberry has a great relevance. Two ultrasound-assisted extraction methods (UAE) have been optimized for the quantification of TA and TPC in blueberry samples. The six variables to be optimized were: solvent composition, temperature, amplitude, cycle, extraction solvent pH, and sample/solvent ratio using response surface methodology. The optimized methods have proven to be suitable for the extraction of the TPC and TA with good precision (repeatability and intermediate precision) (coefficient of variation (CV) < 5%) and potentially for application in commercial samples. This fact, together with the multiple advantages of UAE, makes these methods a good alternative to be used in quality control analysis by both industries and laboratories.
PB MDPI
SN 2304-8158
YR 2020
FD 2020-12
LK http://hdl.handle.net/10498/24351
UL http://hdl.handle.net/10498/24351
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 11-nov-2026