Department of Electronic Engineering, Rovira i Virgili University, Tarragona 43007, Spain.
Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid 28029, Spain.
Anal Chem. 2022 Feb 15;94(6):2785-2793. doi: 10.1021/acs.analchem.1c04118. Epub 2022 Feb 1.
Imaging techniques based on mass spectrometry or spectroscopy methods inform about the chemical composition of biological tissues or organisms, but they are sometimes limited by their specificity, sensitivity, or spatial resolution. Multimodal imaging addresses these limitations by combining several imaging modalities; however, measuring the same sample with the same preparation using multiple imaging techniques is still uncommon due to the incompatibility between substrates, sample preparation protocols, and data formats. We present a multimodal imaging approach that employs a gold-coated nanostructured silicon substrate to couple surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS) and surface-enhanced Raman spectroscopy (SERS). Our approach integrates both imaging modalities by using the same substrate, sample preparation, and data analysis software on the same sample, allowing the coregistration of both images. We transferred molecules from clean fingertips and fingertips covered with plasticine modeling clay onto our nanostructure and analyzed their chemical composition and distribution by SALDI-MS and SERS. Multimodal analysis located the traces of plasticine on fingermarks and provided chemical information on the composition of the clay. Our multimodal approach effectively combines the advantages of mass spectrometry and vibrational spectroscopy with the signal enhancing abilities of our nanostructured substrate.
基于质谱或光谱方法的成像技术可以提供关于生物组织或生物体的化学成分信息,但它们的特异性、灵敏度或空间分辨率有时会受到限制。多模态成像通过结合几种成像模式来解决这些限制;然而,由于基底、样品制备方案和数据格式之间的不兼容性,仍然很少同时使用多种成像技术对同一样品进行测量。我们提出了一种多模态成像方法,该方法使用镀金纳米结构硅基底将表面辅助激光解吸/电离质谱 (SALDI-MS) 和表面增强拉曼光谱 (SERS) 结合起来。我们的方法通过在同一样品上使用相同的基底、样品制备和数据分析软件来整合这两种成像模式,从而实现了两种图像的配准。我们将分子从清洁的指尖和涂有油泥的指尖转移到我们的纳米结构上,并通过 SALDI-MS 和 SERS 分析它们的化学成分和分布。多模态分析定位了指印上油泥的痕迹,并提供了关于粘土组成的化学信息。我们的多模态方法有效地将质谱和振动光谱的优势与我们的纳米结构基底的信号增强能力结合起来。