Login / Signup

Optimization of Ultrasound- and Microwave-Assisted Extraction for the Determination of Phenolic Compounds in Peach Byproducts Using Experimental Design and Liquid Chromatography-Tandem Mass Spectrometry.

Thalia TsiakaDimitra Z LantzourakiGeorgia PolychronakiGeorgios SotiroudisEftichia KritsiVassilia J SinanoglouDespina P KalogianniPanagiotis Zoumpoulakis
Published in: Molecules (Basel, Switzerland) (2023)
The conversion of plant byproducts, which are phenolic-rich substrates, to valuable co-products by implementing non-conventional extraction techniques is the need of the hour. In the current study, ultrasound- (UAE) and microwave-assisted extraction (MAE) were applied for the recovery of polyphenols from peach byproducts. Two-level screening and Box-Behnken design were adopted to optimize extraction efficiency in terms of total phenolic content (TPC). Methanol:water 4:1% v/v was the extraction solvent. The optimal conditions of UAE were 15 min, 8 s ON-5 s OFF, and 35 mL g -1 , while MAE was maximized at 20 min, 58 °C, and 16 mL g -1 . Regarding the extracts' TPC and antioxidant activity, MAE emerged as the method of choice, whilst their antiradical activity was similar in both techniques. Furthermore, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed and validated to determine chlorogenic acid and naringenin in byproducts' extracts. 4-Chloro-4'-hydroxybenzophenone is proposed as a new internal standard in LC-MS/MS analysis in foods and byproducts. Chlorogenic acid was extracted in higher yields when UAE was used, while MAE favored the extraction of the flavonoid compound, naringenin. To conclude, non-conventional extraction could be considered as an efficient and fast alternative for the recovery of bioactive compounds from plant matrices.
Keyphrases
  • liquid chromatography tandem mass spectrometry
  • drinking water
  • solid phase extraction
  • simultaneous determination
  • ms ms
  • magnetic resonance imaging
  • blood pressure
  • computed tomography
  • high resolution
  • data analysis