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利用近红外光谱法(NIR)测定橄榄(油橄榄)叶中的主要酚类化合物。

Determination of the main phenolic compounds of olive (Olea europaea L.) leaves by near infrared spectroscopy (NIR).

作者信息

Escobar-Talavera Jorge F, Martínez-Navarro María Esther, Alonso Gonzalo L, Sánchez-Gómez Rosario

机构信息

Cátedra de Química Agrícola, E.T.S.I. Agronómica y de Montes y Biotecnología (ETISAMB), Universidad de Castilla-La Mancha, Avda. de España s/n, 02071, Albacete, Spain.

出版信息

Sci Rep. 2025 Aug 14;15(1):29791. doi: 10.1038/s41598-025-14292-6.

Abstract

The main phenolics compounds in Olea europaea L. leaves are oleuropein, hydroxytyrosol, hydroxytyrosol hexoside, verbascoside and apingenin-7-glucoside, being oleuropein the most abundant. In the literature, there are different methods to determine some of these compounds, which imply an analytical preparation for their determination. In this line, the use of techniques based on infrared spectroscopy is presented as a promising alternative. Therefore, a near-infrared spectroscopy (NIR) calibration, validation and prediction to determine the main metabolites in olive leaves has been developed. To achieve this, olive leaves samples were analysed by HPLC-DAD to quantify the concentrations of the main phenolic metabolites. Subsequently, a predictive model was developed through NIR calibration, achieving a good R value in all cases, being higher than 0.9 and close to 1 in all calibrations, as the same for R in all validations, with an excellent value for oleuropein (R = 93%). The RPD values were close to 4 for oleuropein and verbascoside and higher than 4 for hydroxytyrosol hexoside and apingenin-7-glucoside, indicating that the model has good reliability. So, good predictive models have been developed to determine the content of the main phenolic compounds in Olea europaea L. leaves, not only for the most abundant, but also for others with important bioactive properties.

摘要

油橄榄叶中的主要酚类化合物有橄榄苦苷、羟基酪醇、羟基酪醇己糖苷、毛蕊花糖苷和芹菜素 -7- 葡萄糖苷,其中橄榄苦苷含量最为丰富。在文献中,有不同的方法来测定其中的一些化合物,这意味着需要进行分析制备才能测定。在这方面,基于红外光谱的技术被认为是一种有前景的替代方法。因此,已开发出一种用于测定橄榄叶中主要代谢物的近红外光谱(NIR)校准、验证和预测方法。为此,通过高效液相色谱 - 二极管阵列检测法(HPLC-DAD)分析橄榄叶样品,以定量主要酚类代谢物的浓度。随后,通过近红外光谱校准建立了预测模型,在所有情况下均获得了良好的R值,所有校准中的R值均高于0.9且接近1,验证中的R值情况相同,橄榄苦苷的R值极佳(R = 93%)。橄榄苦苷和毛蕊花糖苷的RPD值接近4,羟基酪醇己糖苷和芹菜素 -7- 葡萄糖苷的RPD值高于4,表明该模型具有良好的可靠性。所以,已建立了良好的预测模型来测定油橄榄叶中主要酚类化合物的含量,不仅针对含量最丰富的化合物,也针对其他具有重要生物活性的化合物。

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