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Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy

机译:基于傅里叶变换红外纳米光谱的有机样品高光谱红外纳米成像

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摘要

Infrared nanospectroscopy enables novel possibilities for chemical and structural analysis of nanocomposites, biomaterials or optoelectronic devices. Here we introduce hyperspectral infrared nanoimaging based on Fourier transform infrared nanospectroscopy with a tunable bandwidth-limited laser continuum. We describe the technical implementations and present hyperspectral infrared near-field images of about 5,000 pixel, each one covering the spectral range from 1,000 to 1,900 cm−1. To verify the technique and to demonstrate its application potential, we imaged a three-component polymer blend and a melanin granule in a human hair cross-section, and demonstrate that multivariate data analysis can be applied for extracting spatially resolved chemical information. Particularly, we demonstrate that distribution and chemical interaction between the polymer components can be mapped with a spatial resolution of about 30 nm. We foresee wide application potential of hyperspectral infrared nanoimaging for valuable chemical materials characterization and quality control in various fields ranging from materials sciences to biomedicine.
机译:红外纳米光谱技术为纳米复合材料,生物材料或光电器件的化学和结构分析提供了新的可能性。在这里,我们介绍基于傅立叶变换红外纳米光谱的可调谐带宽受限的激光连续光谱的高光谱红外纳米成像。我们描述了技术实现,并提出了大约5,000像素的高光谱红外近场图像,每个图像覆盖了从1,000到1,900 cm -1 的光谱范围。为了验证该技术并证明其应用潜力,我们在人的头发横截面上对三组分聚合物共混物和黑色素颗粒进行了成像,并证明了多元数据分析可用于提取空间分辨的化学信息。特别是,我们证明了聚合物组分之间的分布和化学相互作用可以以约30纳米的空间分辨率进行映射。我们预见到高光谱红外纳米成像在从材料科学到生物医学等各个领域中有价值的化学材料表征和质量控制的广泛应用潜力。

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