Spectroscopic Chemical Sensing and Imaging: From Plants to Animals and Humans

Strobbia, Pietro; Odion, Ren; Vo-Dinh, Tuan

doi:10.3390/chemosensors6010011

Spectroscopic Chemical Sensing and Imaging: From Plants to Animals and Humans

Journal Article · Mon Feb 26 00:00:00 EST 2018 · Chemosensors

DOI:https://doi.org/10.3390/chemosensors6010011· OSTI ID:2484085

; Odion, Ren; Vo-Dinh, Tuan

Chemical sensing and imaging technologies are of great importance in medical diagnostics and environmental sensing due to their ability to detect and localize chemical targets and provide valuable information in real-time. Biophotonic techniques are the most promising for in vivo applications due to their minimal invasivity. Our laboratory has introduced various biophotonics-based technologies for chemical sensing and imaging for biochemical sensing, medical diagnostics, and fundamental research. Over the years, we have developed a wide variety of fluorescence and surface-enhanced Raman scattering (SERS)-based technologies for the detection of biomarkers for cancer and other diseases. This paper provides an overview of the research on chemical and biological sensors developed in our laboratory, highlighting our work on in vivo imaging and sensing, including minimally invasive detection of endogenous fluorophores associated with malignant tissue, SERS-tag localization of cancer cells and tissues, and SERS-based detection of nucleic acid biotargets and its feasibility for in vivo applications. This manuscript also presents new development on the use of Raman imaging of SERS-labeled nanoprobes incubated in leaves for use in biofuel research, laying the foundation for studies on functional imaging of nucleic acid biomarkers in plants.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0014077

OSTI ID:: 2484085

Journal Information:: Chemosensors, Journal Name: Chemosensors Journal Issue: 1 Vol. 6; ISSN 2227-9040; ISSN CHEMO9

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

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