An overview of the extraction and chromatographic characterization of bioactive phenolic compounds from agri-food residues waste within the framework of circular bioeconomy

Data de publicació

2023-06-08T15:03:07Z

2023-02-17

2023-06-08T15:03:07Z

Resum

The recycling and revalorization of wastes from the agri-food industry (AFI) have emerged in the scientific scenario as a multidisciplinary working field in the framework of the circular bioeconomy. Residues and side materials from AFI result in a great source of raw products with increasing social and economic impact. In this regard, phenolic compounds are possibly the most relevant group of phytochemicals from AFI wastes because of their multiple healthy properties, including antioxidant, anti-inflammatory, hypolipidemic, and antibacterial activities. Among other sources, olive oil, winemaking, and fruit and vegetable juice wastes have been considered to assess their revalorization. The paper reviews the recovery and characterization of AFI waste extracts to generate by-products rich in polyphenols for chemical, nutraceutical, and food science applications. Polyphenols are recovered from AFI waste by solvent extraction with conventional and advanced techniques. The resulting extracts are complex, and the major phenolic compounds should be identified and quantified. The profiling of analytes such as proanthocyanins, curcuminoids, resveratrol derivatives, caffeic acids, and oleuropein is often performed by liquid chromatography with UV/Vis or fluorescence detection. Additionally, liquid chromatography coupled to mass spectrometry is the technique of choice for the unambiguous identification of target compounds and structural elucidation of new and unknown molecules. Complementarily, the antioxidant activity of the extracts can be determined using spectrophotometric assays.

Tipus de document

Article


Versió publicada

Llengua

Anglès

Publicat per

Elsevier B.V.

Documents relacionats

Reproducció del document publicat a: https://doi.org/10.1016/j.trac.2023.116994

Trac-Trends in Analytical Chemistry, 2023, vol. 161, num. 116994, p. 1-12

https://doi.org/10.1016/j.trac.2023.116994

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Drets

cc-by-nc-nd (c) Mir-Cerdà, Aina et al., 2023

https://creativecommons.org/licenses/by-nc-nd/4.0/

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