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          New Microarrays Raman Sensor Developed for Lung Cancer Biomarker Detection

          Nov 15, 2019

          Volatile organic compounds (VOCs) have been recognized as a significant endogenous signaling molecule in human exhalation and are closely associated with a number of pathophysiological processes. The profile of VOCs differs between patients with lung cancer and healthy subjects.

          The detection of trace VOCs in breath sampling is completely noninvasive and constitutes a potentially useful approach to screening lung cancer.

          In a study published in Angew. Chem. Int. Ed., Prof. WANG Tie from Institute of Chemistry of the Chinese Academy of Sciences developed a new microarrays Raman sensor for cancer biomarker detection where the bunched Co-Ni layered double hydroxide nanocages coated on Ag nanowire (Ag@LDH) by ion etching of zeolitic imidazolate framework on silver nanowires (Ag@ZIF-67). 

          The nanocage structure of the developed microarrays Raman sensor exhibited excellent gas absorption performance and the targeted analytes were more efficiently reacted or absorbed on the surface enhanced Raman scattering (SERS) active site, which was verified by gas hydrodynamics.

          Consequently, the detection limit of Ag@LDH SERS sensors for biomarker was an order of magnitude lower than that of Ag@ZIF-67, and three orders of magnitude lower than that of bare Ag nanowires.

          Through Raman spectra statistical analysis assisted by multivariate methods, various aldehydes in mixed mimetic gas were distinguished. The detection 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.

           

          Illustration of principle of microarrays Raman sensor and enhanced gas molecular adsorption mechanism. (Image by Prof. WANG Tie)

          Detection of Exhaled Volatile Organic Compounds Improved by Hollow Nanocages of Layered Double Hydroxide on Ag Nanowires

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