Integrated microfluidic platform for programmable multi-window DNA fractionation and in situ recovery

Abstract

Nucleic acid size selection underpins applications from sequencing to genome engineering, yet current methods impose trade-offs among separation breadth, recovery fidelity, and operational throughput. To address these trade-offs, we engineered a compact on-chip microfluidic field-inversion gel electrophoresis (MFIGE) platform that integrates programmable deoxyribonucleic acid (DNA) fractionation with in situ dual-membrane DNA recovery, which avoids manual gel excision in a closed, low-shear, and automation-ready format. MFIGE delivers multi-window fractionation beyond 140 kbp, with total recovery rate up to 57.9% and operates robustly across different sample types. In nanopore sequencing validation, MFIGE reshaped the read-length distribution and substantially increased long-read output. It generated more than 2900 reads exceeding 100 kbp, 976-fold higher than long-fragment accumulator (LA) reagent-based fractionation and 47.2-fold higher than the unfractionated control. It also raised the N50 to 33.58 kbp, 1.5-fold higher than LA and 3.4-fold higher than unfractionated. By programming the field strength, we concentrated over 94% of >50 kbp fragments in target wells, enabling precise, high-fidelity capture. Together, these results position MFIGE as a practical front end for long-read sequencing library preparation and other applications demanding precise DNA sizing.

Graphical abstract: Integrated microfluidic platform for programmable multi-window DNA fractionation and in situ recovery

Transparent peer review

To support increased transparency, we offer authors the option to publish the peer review history alongside their article.

View this article’s peer review history

Article information

Article type
Paper
Submitted
16 Oct 2025
Accepted
29 Nov 2025
First published
02 Dec 2025

Analyst, 2026, Advance Article

Integrated microfluidic platform for programmable multi-window DNA fractionation and in situ recovery

D. Li, C. Yang, L. Xu, T. Zeng, X. Shi, Q. Yun, Y. Dong and Y. Zhang, Analyst, 2026, Advance Article , DOI: 10.1039/D5AN01091H

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements