Evidence map›Paper›PMID 33911259›Full record

ArticleNature protocols2021

Microfluidic integration of regeneratable electrochemical affinity-based biosensors for continual monitoring of organ-on-a-chip devices.

Julio Aleman, Tugba Kilic, Luis S Mille, Su Ryon Shin, Yu Shrike Zhang

Abstract read
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In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed.

  1. Review
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  12. Parabiosis, Assembloids, Organoids (PAO).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  13. Review
  14. Review
  15. Article
  16. Advances in microfluidic chip technology for cell analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
  17. Review
  18. Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Julio Aleman *Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0001-7530-3303
Tugba Kilic *Center for Systems Biology and Department of Radiology, Massachusetts General Hospital Research Institute, Harvard Medical School, Boston, MA, USA.
Luis S MilleDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7072-1522
Su Ryon ShinDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA. sshin4@bwh.harvard.edu.
Yu Shrike ZhangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA. yszhang@research.bwh.harvard.edu.ORCID http://orcid.org/0000-0002-0045-0808

Funding

"Clinical Trials" on a Premature Vascular Aging-on-a-Chip ModelUG3TR003274 · NCATS · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, Y. SHRIKE · 2020 to 2021
$1.2M
Recapitulating Ductal Carcinoma on a Chip for Personalized Breast Cancer TherapyR00CA201603 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, Y. SHRIKE · 2019 to 2021
$747k
On-Chip Expansion MicroscopyR03EB027984 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, Y. SHRIKE · 2020 to 2021
$179k
NCATS NIH HHS UG3 TR003274NCI NIH HHS R00 CA201603NIBIB NIH HHS R03 EB027984
6 · The paper itself

Abstract

Organs-on-chips have emerged as viable platforms for drug screening and personalized medicine. While a wide variety of human organ-on-a-chip models have been developed, rarely have there been reports on the inclusion of sensors, which are critical in continually measuring the microenvironmental parameters and the dynamic responses of the microtissues to pharmaceutical compounds over extended periods of time. In addition, automation capacity is strongly desired for chronological monitoring. To overcome this major hurdle, in this protocol we detail the fabrication of electrochemical affinity-based biosensors and their integration with microfluidic chips to achieve in-line microelectrode functionalization, biomarker detection and sensor regeneration, allowing continual, in situ and noninvasive quantification of soluble biomarkers on organ-on-a-chip platforms. This platform is almost universal and can be applied to in-line detection of a majority of biomarkers, can be connected with existing organ-on-a-chip devices and can be multiplexed for simultaneous measurement of multiple biomarkers. Specifically, this protocol begins with fabrication of the electrochemically competent microelectrodes and the associated microfluidic devices (~3 d). The integration of electrochemical biosensors with the chips and their further combination with the rest of the platform takes ~3 h. The functionalization and regeneration of the microelectrodes are subsequently described, which require ~7 h in total. One cycle of sampling and detection of up to three biomarkers accounts for ~1 h.

Indexed as

Equipment ReuseLab-On-A-Chip DevicesBiomarkersBiosensing TechniquesElectrochemistryMicroelectrodesTime FactorsBiomarkers

Identifiers

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.