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从食品残渣中绿色提取天然色素:比色表征与纳米结构化以增强稳定性

Green Extraction of Natural Colorants from Food Residues: Colorimetric Characterization and Nanostructuring for Enhanced Stability.

作者信息

Lauria Victoria Baggi Mendonça, Silva Luciano Paulino

机构信息

Embrapa Recursos Genéticos e Biotecnologia, Laboratório de Nanobiotecnologia (LNANO), Parque Estação Biológica, Final W5 Norte, Brasília 70770-917, DF, Brazil.

Programa de Pós-Graduação em Nanociência e Nanobiotecnologia, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Brasília 70910-900, DF, Brazil.

出版信息

Foods. 2024 Mar 21;13(6):962. doi: 10.3390/foods13060962.

Abstract

Food residues are a promising resource for obtaining natural pigments, which may replace artificial dyes in the industry. However, their use still presents challenges due to the lack of suitable sources and the low stability of these natural compounds when exposed to environmental variations. In this scenario, the present study aims to identify different food residues (such as peels, stalks, and leaves) as potential candidates for obtaining natural colorants through eco-friendly extractions, identify the colorimetric profile of natural pigments using the RGB color model, and develop alternatives using nanotechnology (e.g., liposomes, micelles, and polymeric nanoparticles) to increase their stability. The results showed that extractive solution and residue concentration influenced the RGB color profile of the pigments. Furthermore, the external leaves of L. , the peels of , , and L. proved to be excellent resources for obtaining natural pigments. Finally, the use of nanotechnology proved to be a viable alternative for increasing the stability of natural colorants over storage time.

摘要

食物残渣是获取天然色素的一个有前景的资源,这些天然色素在工业中可能会取代人工合成染料。然而,由于缺乏合适的来源以及这些天然化合物在暴露于环境变化时稳定性较低,它们的使用仍然面临挑战。在这种情况下,本研究旨在确定不同的食物残渣(如果皮、茎和叶)作为通过环保提取获得天然色素的潜在候选物,使用RGB颜色模型确定天然色素的比色特征,并开发利用纳米技术(如脂质体、胶束和聚合物纳米颗粒)来提高其稳定性的替代方法。结果表明,提取溶液和残渣浓度会影响色素的RGB颜色特征。此外,L.的外部叶子、、和L.的果皮被证明是获取天然色素的优质资源。最后,事实证明,使用纳米技术是提高天然色素在储存期间稳定性的可行替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cbd/10970246/a70a07198c66/foods-13-00962-g001.jpg

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