3.9 Article

Fine-tuning of functional and structural properties of Ca(II)-alginate beads containing artichoke waste extracts

期刊

FOOD HYDROCOLLOIDS FOR HEALTH
卷 2, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.fhfh.2022.100097

关键词

Encapsulation; Microstructure; Biopolymers; Waste; Bioactive compounds; RSM

资金

  1. Brazilian Synchrotron Light Laboratory (LNLS, Brazil) [SAXS1-20190143, SAXS1-20190073]
  2. Agencia Nacional de Promocion Cientifica y Tecnologica (ANPCyT) [PICT-2017-0569, PICT-2020-3745]
  3. Consejo Nacional de Investigaciones Cientificas y Tecnicas (IZ PhD scholarship)

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The study focuses on the extraction of phenolic compounds from artichoke harvest waste using green extractions. The extract was encapsulated into Ca(II)-alginate beads, and the physico-chemical and structural properties of the beads were optimized. The study also investigated the transfer of phenolic compounds from the waste to the beads, and the relationship between synthesis conditions and the microstructure of the beads.
Artichoke harvest waste is rich in phenolic compounds, which we retrieved with green extractions to exploit this otherwise undervalued material. Here, to protect these labile compounds, we encapsulated the extract into Ca(II)-alginate beads and optimized their physico-chemical and structural properties via response surface methodology. Moreover, we corroborated the carryover of predominant phenolic compounds from waste to bead via highperformance liquid chromatography coupled with diode-array detection and mass spectrometry (HPLC-DADMS). We found that maximum bioactive capacity is obtained at higher concentrations of alginate precursor and lower gel consolidation times and that strength, size, and roundness of the beads were influenced mainly by the alginate precursor concentration. Additionally, through small angle X-ray scattering we revealed a deep relationship between synthesis conditions and the microstructure of the gel, related to the crosslinking degree and ramification of the final arrangement, which in turn impacts its strength. We validated the model by running an optimal point of 2 min of gelling time and 2.25 % of alginate and obtaining satisfactory experimental errors for the parameters analyzed. This holistic approach enables modulation and bottom-up tuning of the structure of beads for advanced delivery applications.

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