用近红外光谱和化学计量学方法测定水果叶片中酚类化合物和抗氧化能力

D. R. Pompeu, A. Pissard, H. Rogez, P. Dupont, M. Lateur, V. Baeten
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引用次数: 1

摘要

主题描述。酚类化合物对植物的抗氧化能力非常重要。酚类化合物及其抗氧化能力通常在实验室使用间接方法测量,涉及几个阶段和化学物质。目标。本研究旨在利用近红外光谱(NIRS)技术鉴定具有高酚类化合物含量和抗氧化能力的水果品种,并测定其叶片中酚类化合物含量和抗氧化能力。方法。对不同品种的杨李(Prunus avium)、樱桃李(Prunus cerasus)、家苹果(Malus domestica)、家李(Prunus domestica)、梨(Pyrus communis)、葡萄(Vitis vinifera)、无花果(Ficus carica)和榛(Corylus avellana)共68份进行了调查。用反射率扫描法测定其酚类化合物含量(总酚类化合物、总黄酮醇和总黄酮醇)和抗氧化能力(2-2-二苯基-1-苦味基肼[DPPH]和氧自由基吸收能力[ORAC])。结果。酚类化合物含量和抗氧化能力在种间(种间)和种内(种内)有很大差异。经预处理和未经预处理的光谱与酚类化合物含量和抗氧化能力的相关性进行了测试。经预处理后统计参数略有改善(R²CAL > 0.75;R²cv > 0.21;RPD > 1.1)。结论。结果表明,采用化学计量学方法的近红外光谱技术可以快速测定水果叶片中酚类化合物的含量和抗氧化能力。在这项研究中评估的物种被证明是酚类化合物和抗氧化剂的丰富来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of phenolic compounds and antioxidant capacity in leaves of fruit species using near-infrared spectroscopy and a chemometric approach
Description of the subject. Phenolic compounds are very important to the antioxidant capacity of plant species. Phenolic compounds and hence antioxidant capacity are commonly measured in the laboratory using indirect methods that involve several stages and chemicals. Objectives. This study aims to identify species with high content of phenolic compounds and antioxidant capacity and to measure these parameters in the leaves of fruit species using near-infrared spectroscopy (NIRS). Method. A total of 68 samples of different varieties of Prunus avium, Prunus cerasus, Malus domestica, Prunus domestica, Pyrus communis, Vitis vinifera, Ficus carica and Corylus avellana were investigated. The dried ground leaves were scanned in reflectance mode and the phenolic compound content (total phenolic compounds, total flavanols and total flavonols) and antioxidant capacity (2-2-diphenyl-1-picrylhydazil [DPPH] and oxygen radical absorbance capacity [ORAC]) were determined. Results. Great variability of phenolic compound content and antioxidant capacity was observed between species (inter-species) and between varieties (intra-species). The spectra with and without pre-treatments were tested to correlate with the phenolic compound content and antioxidant capacities. The pre-treatments tested showed a slight improvement in statistical parameters (R²CAL > 0.75; R²CV > 0.21; RPD > 1.1). Conclusions. The results suggest that NIR spectroscopy with chemometric approaches could be used to rapidly estimate the phenolic compound content and antioxidant capacity of the leaves of fruit species. The species evaluated in this study were shown to be a rich source of phenolic compounds and antioxidants.
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