Evidence map›Paper›PMID 33472132›Full record

ReviewBiosensors & bioelectronics2021

A critical review: Recent advances in "digital" biomolecule detection with single copy sensitivity.

Haomin Liu, Yu Lei

Open access · greenAbstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

20 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Real-Time Digital Micromotor Tracking-Enabled Ultrasensitive Immunoassay.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

2 authors at 1 institution in 1 country.

Haomin LiuDepartment of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT, 06269, USA. Electronic address: haomin.liu@uconn.edu.
Yu LeiDepartment of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT, 06269, USA; Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA. Electronic address: yu.lei@uconn.edu.
University of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of a single biomolecule, ranging from nucleic acids, proteins, viruses to bacteria, is of paramount importance in various fields including biology, environment, food and agriculture industry, public health, and medicine. With the understanding of the biological functions of these biomolecules (or bioparticles) and their impacts on public health, environmental pollution, and food safety, advanced detection techniques are unprecedentedly demanded for their early and/or sensitive detection. In this critical review, a series of elegant research about digital detection of biomolecules with potential single copy sensitivity is reviewed and summarized with the focus on the design principle and the innovation of how to accomplish the "digital" detection concept. Starting with a brief introduction on the importance of digital detection, recent advances in "digital" biomolecule detection with single copy sensitivity are grouped and discussed based on the difference of signal reporting systems, including surrogate signal development for "digital" detection, direct visualization for "digital" detection, and nucleic acid amplification enabled "digital" detection. Interdisciplinary combination and integration of different cutting-edge techniques are also discussed with details. The review is closed with the conclusion and future trends.

Indexed as

Biosensing TechniquesNucleic AcidsNucleic Acid Amplification TechniquesProteinsNucleic AcidsProteinsBiosensorDigital ELISAdPCRLabel-freeMicrofluidicsSingle biomolecule

Identifiers

PMID33472132
PMCPMC7836387
OpenAlexW3118785748

What OpenQuestion holds

Textmetadata
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.