Near‐Infrared Imaging of H 2 O 2 in Plants With Nanosensors Under Environmentally Changing Conditions

ABSTRACT Optical sensors are powerful tools to monitor biological systems. However, their practical deployment is often limited by environmental interferences such as autofluorescence, mechanical motion, and fluctuating illumination. These challenges are particularly pronounced in plants because they require and use light, which has impaired the use of (fluorescent) sensors for plant stress signals such as H 2 O 2 . Here, we present a ratiometric sensing platform that overcomes these limitations by integrating three spectrally distinct components: 1) an H 2 O 2 sensor based on aptamer modified near infrared (NIR) fluorescent single walled carbon nanotubes (SWCNTs, ∼1000 nm), 2) a stable NIR reference based on polyethyleneglycol modified Egyptian Blue nanosheets (EB–NS, 900–955 nm) and 3) a visible (VIS) signal (∼641 nm) to correct for the NIR autofluorescence tail of plants (>835 nm). This ratiometric approach enables robust signal correction under relevant perturbations, including leaf rotation and wind‐induced motion. Furthermore, it allows continuous H 2 O 2 monitoring under dynamically varying illumination conditions (>300%), resulting in a 75% enhancement in signal contrast compared to single‐channel detection. By spectrally resolving nanosensor signals and endogenous plant autofluorescence, this strategy enables in vivo monitoring of stress‐induced H 2 O 2 under realistic environmental conditions. It establishes interference‐resistant optical sensing and advances field‐deployable nanosensor technologies for precision agriculture.

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Publication Details

Journal
Advanced Materials
Published
2026-10-30
DOI
https://doi.org/10.1002/adma.75513
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
2.05

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article

Near‐Infrared Imaging of H 2 O 2 in Plants With Nanosensors Under Environmentally Changing Conditions

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1 citations
Advanced Materials
Advanced biosensing and bioanalysis techniques
2.05
article

Near‐Infrared Imaging of H 2 O 2 in Plants With Nanosensors Under Environmentally Changing Conditions

Justus T. Metternich, Tanuja Kistwal, Björn Hill, Sebastian Kruss, Juan Pablo Giraldo, Janus A. C. Wartmann, Juliana Gretz, Chen Ma, Jiaqi Li
article en
1 citations

Abstract

ABSTRACT Optical sensors are powerful tools to monitor biological systems. However, their practical deployment is often limited by environmental interferences such as autofluorescence, mechanical motion, and fluctuating illumination. These challenges are particularly pronounced in plants because they require and use light, which has impaired the use of (fluorescent) sensors for plant stress signals such as H 2 O 2 . Here, we present a ratiometric sensing platform that overcomes these limitations by integrating three spectrally distinct components: 1) an H 2 O 2 sensor based on aptamer modified near infrared (NIR) fluorescent single walled carbon nanotubes (SWCNTs, ∼1000 nm), 2) a stable NIR reference based on polyethyleneglycol modified Egyptian Blue nanosheets (EB–NS, 900–955 nm) and 3) a visible (VIS) signal (∼641 nm) to correct for the NIR autofluorescence tail of plants (>835 nm). This ratiometric approach enables robust signal correction under relevant perturbations, including leaf rotation and wind‐induced motion. Furthermore, it allows continuous H 2 O 2 monitoring under dynamically varying illumination conditions (>300%), resulting in a 75% enhancement in signal contrast compared to single‐channel detection. By spectrally resolving nanosensor signals and endogenous plant autofluorescence, this strategy enables in vivo monitoring of stress‐induced H 2 O 2 under realistic environmental conditions. It establishes interference‐resistant optical sensing and advances field‐deployable nanosensor technologies for precision agriculture.

Advanced Materials
University of California, Riverside (US), Fraunhofer Institute for Microelectronic Circuits and Systems (DE), Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 15%
Advanced biosensing and bioanalysis techniques
2.05
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