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Magnetic augmentation through multi-gradient coupling enables direct and programmable profiling of circulating biomarkers

Author

Listed:
  • Yuan Chen

    (National University of Singapore
    National University of Singapore)

  • Li Zhang

    (National University of Singapore
    National University of Singapore)

  • Xingjie Wu

    (National University of Singapore)

  • Xuecheng Sun

    (National University of Singapore)

  • Noah R. Sundah

    (National University of Singapore
    National University of Singapore)

  • Chi Yan Wong

    (National University of Singapore
    National University of Singapore)

  • Auginia Natalia

    (National University of Singapore
    National University of Singapore)

  • John K. C. Tam

    (National University of Singapore)

  • Darren Wan-Teck Lim

    (National Cancer Centre Singapore
    Technology and Research
    Duke-NUS Medical School)

  • Balram Chowbay

    (Duke-NUS Medical School
    National Cancer Centre Singapore
    Technology and Research)

  • Beng Ti Ang

    (National Neuroscience Institute
    Duke-NUS Medical School)

  • Carol Tang

    (National Neuroscience Institute
    Duke-NUS Medical School
    Innovation)

  • Tze Ping Loh

    (National University of Singapore
    National University Hospital)

  • Huilin Shao

    (National University of Singapore
    National University of Singapore
    National University of Singapore
    Technology and Research)

Abstract

Conventional magnetic biosensing technologies have reduced analytical capacity for magnetic field dimensionality and require extensive sample processing. To address these challenges, we spatially engineer 3D magnetic response gradients for direct and programmable molecular detection in native biofluids. Named magnetic augmentation through triple-gradient coupling for high-performance detection (MATCH), the technology comprises gradient-distributed magnetic nanoparticles encapsulated within responsive hydrogel pillars and suspended above a magnetic sensor array. This configuration enables multi-gradient matching to achieve optimal magnetic activation, response and transduction, respectively. Through focused activation by target biomarkers, the platform preferentially releases sensor-proximal nanoparticles, generating response gradients that complement the sensor’s intrinsic detection capability. By implementing an upstream module that recognizes different biomarkers and releases universal activation molecules, the technology achieves programmable detection of various circulating biomarkers in native plasma. It bypasses conventional magnetic labeling, completes in

Suggested Citation

  • Yuan Chen & Li Zhang & Xingjie Wu & Xuecheng Sun & Noah R. Sundah & Chi Yan Wong & Auginia Natalia & John K. C. Tam & Darren Wan-Teck Lim & Balram Chowbay & Beng Ti Ang & Carol Tang & Tze Ping Loh & H, 2024. "Magnetic augmentation through multi-gradient coupling enables direct and programmable profiling of circulating biomarkers," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52754-z
    DOI: 10.1038/s41467-024-52754-z
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    References listed on IDEAS

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    1. Liang Dong & Yun-Jun Xu & Cong Sui & Yang Zhao & Li-Bo Mao & Denis Gebauer & Rose Rosenberg & Jonathan Avaro & Ya-Dong Wu & Huai-Ling Gao & Zhao Pan & Hui-Qin Wen & Xu Yan & Fei Li & Yang Lu & Helmut , 2022. "Highly hydrated paramagnetic amorphous calcium carbonate nanoclusters as an MRI contrast agent," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Christian Becker & Bin Bao & Dmitriy D. Karnaushenko & Vineeth Kumar Bandari & Boris Rivkin & Zhe Li & Maryam Faghih & Daniil Karnaushenko & Oliver G. Schmidt, 2022. "A new dimension for magnetosensitive e-skins: active matrix integrated micro-origami sensor arrays," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Jin Ge & Xu Wang & Michael Drack & Oleksii Volkov & Mo Liang & Gilbert Santiago Cañón Bermúdez & Rico Illing & Changan Wang & Shengqiang Zhou & Jürgen Fassbender & Martin Kaltenbrunner & Denys Makarov, 2019. "A bimodal soft electronic skin for tactile and touchless interaction in real time," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
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    5. Yan Zhang & Chi Yan Wong & Carine Z. J. Lim & Qingchang Chen & Zhonglang Yu & Auginia Natalia & Zhigang Wang & Qing You Pang & See Wee Lim & Tze Ping Loh & Beng Ti Ang & Carol Tang & Huilin Shao, 2023. "Multiplexed RNA profiling by regenerative catalysis enables blood-based subtyping of brain tumors," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
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