An off-chip platform for on-demand, single-target encapsulation for ultrasensitive biomarker detection
An off-chip platform for on-demand, single-target encapsulation for ultrasensitive biomarker detection
Closed-channel microfluidic systems offer versatile on-chip capabilities for bioanalysis but often face complex fabrication and operational challenges. In contrast, free-boundary off-chip microfluidic platforms are relatively simple to fabricate and operate but lack the ability to perform complex tasks such as on-demand single-target sorting and encapsulation. To address these challenges, we develop an off-chip platform powered by a fluorescent-activated mechanical droplet sorting and production (FAM-DSP) system. The system integrates target detection, sorting, encapsulation, and on-demand droplet generation into a single compact platform, eliminating the need for microfabrication and minimizing the use of specialized fluidic control equipment. It achieves precise single-target encapsulation with a high efficiency of over 70%. Such a capability is applied for improving the performance of droplet digital enzyme-linked immunosorbent assay (ddELISA) by reducing the number of empty droplets and increasing the throughput, enabling precise quantification of target biomarkers with a low limit of detection. This versatile off-chip platform holds promise not only for biomarker detection but also for single-cell analysis and various applications in clinical diagnostics and biomedical research.
Biosensing, ddELISA, Microdroplets, Microfluidics, Off-chip
Zhang, Yuxin
f858a4e3-2841-46cb-a6d7-a5230e25f467
Zheng, Jiahao
44791733-cef3-4cca-9e18-1779b64e3b84
Bayinqiaoge,
fb90e81b-7a46-4383-8e5f-373ae47c69bd
Cole, Tim
78cebdf5-e360-4e8e-9dea-ba4b88306980
Zhang, Chengchen
abc47c06-4b99-4aed-be72-463f211e9dfa
Wang, Yi
6e4436d2-9d03-4698-a45d-5f4e6ed89a4b
Tang, Shi Yang
1d0f15c6-2a3e-4bad-a3d8-fc267db93ed4
15 March 2025
Zhang, Yuxin
f858a4e3-2841-46cb-a6d7-a5230e25f467
Zheng, Jiahao
44791733-cef3-4cca-9e18-1779b64e3b84
Bayinqiaoge,
fb90e81b-7a46-4383-8e5f-373ae47c69bd
Cole, Tim
78cebdf5-e360-4e8e-9dea-ba4b88306980
Zhang, Chengchen
abc47c06-4b99-4aed-be72-463f211e9dfa
Wang, Yi
6e4436d2-9d03-4698-a45d-5f4e6ed89a4b
Tang, Shi Yang
1d0f15c6-2a3e-4bad-a3d8-fc267db93ed4
Zhang, Yuxin, Zheng, Jiahao, Bayinqiaoge, , Cole, Tim, Zhang, Chengchen, Wang, Yi and Tang, Shi Yang
(2025)
An off-chip platform for on-demand, single-target encapsulation for ultrasensitive biomarker detection.
Biosensors and Bioelectronics, 272, [117134].
(doi:10.1016/j.bios.2025.117134).
Abstract
Closed-channel microfluidic systems offer versatile on-chip capabilities for bioanalysis but often face complex fabrication and operational challenges. In contrast, free-boundary off-chip microfluidic platforms are relatively simple to fabricate and operate but lack the ability to perform complex tasks such as on-demand single-target sorting and encapsulation. To address these challenges, we develop an off-chip platform powered by a fluorescent-activated mechanical droplet sorting and production (FAM-DSP) system. The system integrates target detection, sorting, encapsulation, and on-demand droplet generation into a single compact platform, eliminating the need for microfabrication and minimizing the use of specialized fluidic control equipment. It achieves precise single-target encapsulation with a high efficiency of over 70%. Such a capability is applied for improving the performance of droplet digital enzyme-linked immunosorbent assay (ddELISA) by reducing the number of empty droplets and increasing the throughput, enabling precise quantification of target biomarkers with a low limit of detection. This versatile off-chip platform holds promise not only for biomarker detection but also for single-cell analysis and various applications in clinical diagnostics and biomedical research.
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Published date: 15 March 2025
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Publisher Copyright:
© 2025 The Authors
Keywords:
Biosensing, ddELISA, Microdroplets, Microfluidics, Off-chip
Identifiers
Local EPrints ID: 502041
URI: http://eprints.soton.ac.uk/id/eprint/502041
ISSN: 0956-5663
PURE UUID: 46ba0988-94a1-4455-9baa-903525a28190
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Date deposited: 13 Jun 2025 17:37
Last modified: 22 Aug 2025 02:41
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Contributors
Author:
Yuxin Zhang
Author:
Jiahao Zheng
Author:
Bayinqiaoge
Author:
Tim Cole
Author:
Chengchen Zhang
Author:
Yi Wang
Author:
Shi Yang Tang
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