Martins Strieder Monique, Lopes de Oliveira Isadora, Sanchez Bragagnolo Felipe, Lacerda Sanches Vitor, Stein Pizani Rodrigo, Mendes de Souza Mesquita Leonardo, Rostagno Mauricio Ariel
Multidisciplinary Laboratory of Food and Health (LabMAS), School of Applied Sciences (FCA), Universidade Estadual de Campinas, Rua Pedro Zaccaria 1300, 13484-350 Limeira, São Paulo Brazil.
J Agric Food Chem. 2025 May 14;73(19):11515-11534. doi: 10.1021/acs.jafc.5c01868. Epub 2025 Apr 29.
A significant challenge in valorizing food waste is the accurate extraction and identification of metabolites, as the composition of phenolic compounds varies by plant species, part, growth conditions, and processing. This review examined phenolic compounds in plant residue groups (leaves/stalks, peels/husks, pulp/pomace, and seeds) to verify the predominance of specific compounds in the same plant groups, establishing a comprehensive database. This database may be helpful for future studies that seek sources of a given compound or develop solvents to extract phenolic compounds from a specific material. Moreover, the primary plant residues and trends in extracting and analyzing these compounds were reviewed. The predominance of specific compounds within these groups, such as luteolin in plant leaves and stalks, was observed. Most studies focus on extracts with the highest total phenolic content (TPC), limiting insights into how extraction variables affect the target compounds. Chromatographic methods vary according to sample type, column, and conditions, shifting toward reducing acetone/methanol use, shortening the analysis time, and integrating inline UV-vis detection. This perspective highlights plant residue parts rich in specific phenolics, contributing to more targeted, selective, and sustainable extraction methodologies.
在将食物垃圾转化为有用资源的过程中,一个重大挑战是准确提取和鉴定代谢物,因为酚类化合物的组成会因植物种类、部位、生长条件和加工方式而有所不同。本综述研究了植物残渣组(叶子/茎、果皮/果壳、果肉/果渣和种子)中的酚类化合物,以验证同一植物组中特定化合物的优势,从而建立一个综合数据库。该数据库可能有助于未来的研究,这些研究旨在寻找特定化合物的来源或开发从特定材料中提取酚类化合物的溶剂。此外,还综述了主要的植物残渣以及提取和分析这些化合物的趋势。观察到这些组中特定化合物的优势,例如植物叶子和茎中的木犀草素。大多数研究集中在总酚含量(TPC)最高的提取物上,限制了对提取变量如何影响目标化合物的了解。色谱方法根据样品类型、色谱柱和条件而有所不同,正朝着减少丙酮/甲醇使用量、缩短分析时间和集成在线紫外-可见检测的方向发展。这一观点突出了富含特定酚类物质的植物残渣部分,有助于开发更具针对性、选择性和可持续性的提取方法。