Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences(CAS), Beijing, 100190, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Angew Chem Int Ed Engl. 2019 Nov 11;58(46):16523-16527. doi: 10.1002/anie.201910865. Epub 2019 Sep 30.
To detect biomarkers from human exhalation, air flow dynamics on the nanoparticle surface were explored by a surface-enhanced Raman scattering (SERS) sensor. A hollow Co-Ni layered double hydroxide (LDH) nanocage on Ag nanowires (Ag@LDH) was prepared. Ag nanowires provided amplified Raman signals for trace determination; hollow LDH nanocages served as the gaseous confinement cavity to improve capture and adsorption of gaseous analytes. The Raman intensity and logarithmic analyte concentration exhibit an approximately linear relationship; the detection limit of SERS sensors for aldehyde is 1.9×10 v/v (1.9 ppb). Various aldehydes in mixed mimetic gas are distinguished by Raman spectra statistical analysis assisted by multivariate methods, including principal component analysis and hierarchical cluster analysis. The information was recorded in a barcode, which can be used for the design and development of a desktop SERS sensor analysis system for large-scale lung cancer detection.
为了从人体呼气中检测生物标志物，通过表面增强拉曼散射（SERS）传感器探索了纳米颗粒表面的气流动力学。制备了在银纳米线上的中空 Co-Ni 层状双氢氧化物（LDH）纳米笼（Ag@LDH）。银纳米线提供了增强的拉曼信号，用于痕量测定；中空 LDH 纳米笼作为气态限制腔，以提高气态分析物的捕获和吸附。拉曼强度与对数分析物浓度呈近似线性关系；SERS 传感器对醛的检测限为 1.9×10 v/v（1.9 ppb）。通过多元统计分析，包括主成分分析和层次聚类分析，用拉曼光谱对混合模拟气体中的各种醛进行了区分。信息以条码形式记录，可用于设计和开发用于大规模肺癌检测的台式 SERS 传感器分析系统。
