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  4. Real-Time Subcellular Imaging of Plant Signaling Molecules and Bio-Coronas by Near-Infrared Nanosensors
 
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2026
Journal Article
Title

Real-Time Subcellular Imaging of Plant Signaling Molecules and Bio-Coronas by Near-Infrared Nanosensors

Abstract
Chemical imaging at high spatiotemporal resolution is crucial for advancing plant sciences and biotechnology. We demonstrate optical nanosensors for subcellular imaging of signaling molecules (H2O2) and lipid corona formation in plant tissues at high spatial (<1 μm) and temporal resolution (1 s) in the tissue transparent near-infrared (nIR) window. Nanosensor fluorescence peak quenching (12–25%) over time revealed the rapid propagation (<30 s) of exogenous H2O2 waves (100 μM) from plant mesophyll to stomata and pavement cells. Ca2+ induced higher endogenous H2O2 in mesophyll cells, whereas organelle electron transport chain disruptors and salt stress generated similar H2O2 across all leaf cell types. Furthermore, the nanosensor quenching kinetics in photosynthetic mesophyll (0.018 s–1) and epidermal (0.004 s–1) cells enabled the detection of plant lipid corona formation. Optical nanosensors elucidate spatiotemporal dynamics of plant signaling molecules and advance our understanding of biocorona formation.
Author(s)
Jeon, Su-ji
University of California, Riverside
Kim, Hye-in
University of California, Riverside
Hill, Björn F.
Ruhr-Universitat Bochum
Sivaraj, Supreetha
University of California, Riverside
Ma, Chen
Ruhr-Universitat Bochum
Li, Jiaqi
Ruhr-Universitat Bochum
Unnikrishnan, Mahima
University of Illinois Urbana-Champaign
Murphy, Catherine Jones
University of Illinois Urbana-Champaign
Kwak, Seonyeong
Research Institute of Agricultural and Life Science
Kruss, Sebastian  
Fraunhofer-Institut für Mikroelektronische Schaltungen und Systeme IMS  
Giraldo, Juan Pablo
University of California, Riverside
Journal
ACS nano  
Funder
National Research Foundation of Korea  
DOI
10.1021/acsnano.5c11379
Language
English
Fraunhofer-Institut für Mikroelektronische Schaltungen und Systeme IMS  
Keyword(s)
  • carbon nanotubes

  • lipid corona

  • optical sensors

  • plant signaling

  • reactive oxygen species

  • subcellular imaging

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