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微米和纳米光谱技术在大麦叶片角质层表面特征系统研究中的应用

Application of Micro- and Nano-Spectroscopic Techniques for Systematic Studies of Surface Features of the Barley Leaf Cuticle.

作者信息

Burve Regina, Kral Martin, Svecova Marie, Dendisova Marcela, Johnson C Magnus, Grivel Jean-Claude

机构信息

Department of Energy Conversion and Storage, Technical University of Denmark, Agnes Nielsens Vej 301, Lyngby 2800, Denmark.

Department of Physical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 5, Prague 6 166 28, Czech Republic.

出版信息

ACS Omega. 2025 Jul 16;10(29):31428-31439. doi: 10.1021/acsomega.5c00744. eCollection 2025 Jul 29.

Abstract

In this study, micro- and nanospectroscopic techniques were used to examine the aerial epidermis of a barley crop leaf cuticle to determine if there is a correlation between aerial morphological features and their chemistry. We believe this understanding may inform the design of nanoparticles (NPs) with improved and controlled NP-plant interactions and potential applications as foliar nanofertilizers. We compared three different Raman excitation wavelengthsNIR, Vis, and UVand evaluated the possibilities of nanospectroscopic techniques like tip-enhanced Raman spectroscopy (TERS) and nano-FTIR spectroscopy. All measurements were performed on a fresh leaf surface. The impact of excitation wavelength and other measurement parameters (laser power, exposure time) to obtain an optimal signal-to-noise ratio without photodamaging the leaf was systematically evaluated. The main compounds detected in the cuticle matrix were carotenoids, flavonoids, polysaccharides, phenolic compounds, and cuticular waxes. UV (325 nm) was found to be the most suitable excitation wavelength for obtaining the most intense signals from the cuticle while avoiding plant pigment signals.

摘要

在本研究中,使用了显微和纳米光谱技术来检查大麦作物叶片角质层的气生表皮,以确定气生形态特征与其化学性质之间是否存在相关性。我们认为,这种认识可能为设计具有改善和可控的纳米颗粒-植物相互作用的纳米颗粒(NPs)以及作为叶面纳米肥料的潜在应用提供信息。我们比较了三种不同的拉曼激发波长——近红外、可见光和紫外——并评估了诸如尖端增强拉曼光谱(TERS)和纳米傅里叶变换红外光谱等纳米光谱技术的可能性。所有测量均在新鲜叶片表面进行。系统地评估了激发波长和其他测量参数(激光功率、曝光时间)对在不损害叶片的情况下获得最佳信噪比的影响。在角质层基质中检测到的主要化合物是类胡萝卜素、黄酮类化合物、多糖、酚类化合物和角质蜡。发现紫外(325 nm)是获得来自角质层的最强信号同时避免植物色素信号的最合适激发波长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1782/12311652/844a2622812e/ao5c00744_0001.jpg

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