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Quantum-sensing-enabled in situ imaging of free radicals in chemical reactions

Abstract

In situ observation of chemical reactions with high sensitivity and high spatiotemporal resolution is a long-standing goal in chemistry. Up to now, only a few, very specific systems can be studied. High-resolution operando imaging of chemical reactions typically requires a fluorescent probe to be included in the reaction. Here we introduce an operando microscopy methodology, namely quantum-sensing-enabled chemical operando microscopy (QCOM), in which reaction-induced local physical field changes are intrinsically transformed into dynamic imaging contrast using nitrogen vacancy centres in diamond. QCOM simultaneously satisfies the criteria of detection sensitivity (around four free radicals per pixel), spatial resolution (full-width-at-half-maximum resolution of around 312 nm) and temporal resolution (~10–240 ms). This has enabled the direct, quantitative, operando imaging of free-radical generation in the photocatalytic hydrolysis of TiO2, revealing an unexpected spatiotemporal sequential activation effect. Our work combines quantum sensing with chemical reaction imaging, offering a comprehensive in situ methodology to explore spatiotemporal phenomena in chemistry.

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Fig. 1: Quantum sensing of free radicals in photocatalytic reactions.
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Fig. 2: Quantitative imaging of free radicals in the photocatalytic hydrolysis of TiO2.
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Fig. 3: Observation of the spatiotemporal sequential activation effect.
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Fig. 4: Direct operando electron spin spectroscopy of free radicals.
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Data availability

Raw data comprising a large number of movie files supporting the findings of this study are available from the authors upon reasonable request. Source data are provided with this paper.

Code availability

MATLAB codes for processing the raw data are provided in Supplementary Code 1.

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Acknowledgements

We thank X. Yang, D. Wang and B. Shan for their careful reading of this paper. This study was funded by the National Natural Science Foundation of China (21974123, J.F.), the National Key R&D Program of China (2020YFA0211200, J.F.), the Fundamental Research Funds for the Zhejiang Provincial Universities (226202500087, J.F.) and the Fundamental Research Funds for the Central Universities (K20220088, J.F.). J.F. acknowledges the support of the New Cornerstone Science Foundation through the XPLORER PRIZE. We thank the Micro and Nano Fabrication Center (Y. Sun and J. Sun), the Analysis Center of Agrobiology and Environmental Sciences, and the Chemistry Instrumentation Center (X. Ding) at Zhejiang University for technical assistance.

Author information

Authors and Affiliations

Authors

Contributions

J.F. conceptualized the project. J.F. and Y.Y. designed the set-up. Y.Y. built the set-up with help from Y.X and S.L. Z. Zhou wrote the sequence and quantitative model. Y.Y., Z. Zhou, F.Z., Z.M., C.Z., W.D., S.L., Y.Z., Z. Zhang and W.Z. conducted and analysed the experiments. J.F. supervised the work. J.F. and Y.Y. wrote the paper with feedback from other authors.

Corresponding author

Correspondence to Jiandong Feng.

Ethics declarations

Competing interests

J.F. and Y.Y. are listed as inventors in a filed patent (Publication number: CN120102536A) describing the quantum-enabled in-situ imaging technique. The other authors declare no competing interests.

Peer review

Peer review information

Nature Catalysis thanks Johan Hofkens and Ming Zhao for their contribution to the peer review of this work.

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Supplementary information

Supplementary Information (download PDF )

Supplementary Discussions 1–12, Tables 1 and 2, and Figs. 1–28.

Supplementary Code 1

Matlab codes for processing raw image stacks acquired by QCOM.

Supplementary Video 1 (download MP4 )

Dynamic free-radical imaging of a single TiO2 nanowire during photocatalysis.

Source data

Source Data Fig. 1 (download XLSX )

Statistical source data.

Source Data Fig. 2 (download XLSX )

Statistical source data.

Source Data Fig. 3 (download XLSX )

Statistical source data.

Source Data Fig. 4 (download XLSX )

Statistical source data.

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Yang, Y., Zhou, Z., Xu, Y. et al. Quantum-sensing-enabled in situ imaging of free radicals in chemical reactions. Nat Catal 9, 319–327 (2026). https://doi.org/10.1038/s41929-026-01499-7

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