Bottom-Up Engineering of Responsive Hydrogel Materials for Molecular Detection and Biosensing

Lim, Jason Y. C.; Goh, Shermin S.; Loh, Xian Jun

doi:10.1021/acsmaterialslett.0c00204

Cited by 58 publications

(47 citation statements)

References 260 publications

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“…In turn, a versatile library of responsive microparticles can be envisioned that exhibit physiochemical changes based on the interaction of the microparticle-tethered biorecognition element ( e . g ., DNA/RNA, antibodies, aptamers, small molecules) with a target biochemical-of-interest. − …”

Section: Discussionmentioning

confidence: 99%

Microparticle-Based Biochemical Sensing Using Optical Coherence Tomography and Deep Learning

Shah

Zheng

et al. 2021

ACS Nano

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Advancing continuous health monitoring beyond vital signs to biochemistry will revolutionize personalized medicine. Herein, we report a biosensing platform to achieve remote biochemical monitoring using microparticle-based biosensors and optical coherence tomography (OCT). Stimuli-responsive, polymeric microparticles were designed to serve as freely dispersible biorecognition units, wherein binding with a target biochemical induces volumetric changes of the microparticle. Analytical approaches to detect these submicron changes in 3D using OCT were devised by modeling the microparticle as an optical cavity, enabling estimations far below the resolution of the OCT system. As a proof of concept, we demonstrated the 3D spatiotemporal monitoring of glucose-responsive microparticles distributed throughout a tissue mimic in response to dynamically fluctuating levels of glucose. Deep learning was further implemented using 3D convolutional neural networks to automate the vast processing of the continuous stream of three-dimensional time series data, resulting in a robust end-to-end pipeline with immense potential for continuous in vivo biochemical monitoring.

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Section: Discussionmentioning

confidence: 99%

Microparticle-Based Biochemical Sensing Using Optical Coherence Tomography and Deep Learning

Shah

Zheng

et al. 2021

ACS Nano

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show abstract

“…In turn, a versatile library of responsive microparticles can be envisioned that exhibit physiochemical changes based on the interaction of the microparticle-tethered biorecognition element (e.g. DNA/RNA, antibodies, aptamers, small molecules) with a target biochemical-of-interest [46][47][48] .…”

Section: Discussionmentioning

confidence: 99%

Microparticle-based Biochemical Sensing Using Optical Coherence Tomography and Deep Learning

Shah

Zheng

et al. 2020

Preprint

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Advancing continuous health monitoring beyond vital signs to biochemistry will revolutionize personalized medicine. Herein, we report a novel platform to achieve remote biochemical monitoring using microparticle-based biosensors and optical coherence tomography (OCT). Stimuli-responsive, polymeric microparticles were designed to serve as freely-dispersible biorecognition units, wherein binding with a target biochemical induces volumetric changes of the microparticle. Analytical approaches to detect these sub-micron changes in 3D using OCT were devised by modeling the microparticle as an optical cavity, enabling estimations far below the resolution of the OCT system. As a proof of concept, we demonstrated the 3D spatiotemporal monitoring of glucose-responsive microparticles distributed throughout a tissue-mimic in response to dynamically-fluctuating levels of glucose. Deep learning was further implemented using 3D convolutional neural networks to automate the vast processing of the continuous stream of three-dimensional time series data, resulting in a robust end-to-end pipeline with immense potential for continuous in vivo biochemical monitoring.

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“…Compared with conventional biosensors, it is more beneficial to integrate conductive hydrogels with electronic devices for in vivo sensing. Thus, conductive hydrogels as biosensors are of particular interests in the field of bioelectronics [ 54 , 55 ]. Hitherto, biosensors had enormous demands in clinical diagnostics, long-term health monitors and real-time biomolecule sensors [ 56 ].…”

Section: Biomedical Applications Of Conductive Hydrogelmentioning

confidence: 99%

Design Strategies of Conductive Hydrogel for Biomedical Applications

Tsai

Hsu

2020

Molecules

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Conductive hydrogel, with electroconductive properties and high water content in a three-dimensional structure is prepared by incorporating conductive polymers, conductive nanoparticles, or other conductive elements, into hydrogel systems through various strategies. Conductive hydrogel has recently attracted extensive attention in the biomedical field. Using different conductivity strategies, conductive hydrogel can have adjustable physical and biochemical properties that suit different biomedical needs. The conductive hydrogel can serve as a scaffold with high swelling and stimulus responsiveness to support cell growth in vitro and to facilitate wound healing, drug delivery and tissue regeneration in vivo. Conductive hydrogel can also be used to detect biomolecules in the form of biosensors. In this review, we summarize the current design strategies of conductive hydrogel developed for applications in the biomedical field as well as the perspective approach for integration with biofabrication technologies.

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Bottom-Up Engineering of Responsive Hydrogel Materials for Molecular Detection and Biosensing

Cited by 58 publications

References 260 publications

Microparticle-Based Biochemical Sensing Using Optical Coherence Tomography and Deep Learning

Microparticle-Based Biochemical Sensing Using Optical Coherence Tomography and Deep Learning

Microparticle-based Biochemical Sensing Using Optical Coherence Tomography and Deep Learning

Design Strategies of Conductive Hydrogel for Biomedical Applications

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