Evidence map›Paper›PMID 40862995›Full record

ReviewBiosensors2025

Droplet-Based Microfluidics in Single-Bacterium Analysis: Advancements in Cultivation, Detection, and Application.

Haiyan Ma, Yuewen Zhang, Ren Shen, Yanwei Jia

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
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

4 authors.

Haiyan MaCollege of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.ORCID 0009-0005-4379-4474
Yuewen ZhangCollege of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.ORCID 0000-0003-1864-769X
Ren ShenState Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau SAR 999078, China.ORCID 0000-0002-3503-6412
Yanwei JiaState Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau SAR 999078, China.

Funding

the National Natural Science Foundation of China 22204065The Science and Technology Development Fund, Macau SAR (FDCT) 004/2023/SKLUniversity of Macau SRG2024-00057-IMEUniversity of Macau Development Foundation UMDF-TISF/2025/014/IME
6 · The paper itself

Abstract

Microorganisms exhibit remarkable diversity, making their comprehensive characterization essential for understanding ecosystem functioning and safeguarding human health. However, traditional culture-based methods entail inherent limitations for resolving microbial heterogeneity, isolating slow-growing microorganisms, and accessing uncultivated microbes. Conversely, droplet-based microfluidics enables a high-throughput and precise platform for single-bacterium manipulation by physically isolating individual cells within microdroplets. This technology presents a transformative approach to overcoming the constraints of conventional techniques. This review outlines the fundamental principles, recent research advances, and key application domains of droplet-based microfluidics, with a particular focus on innovations in single-bacterium encapsulation, sorting, cultivation, and functional analysis. Applications such as antibiotic susceptibility testing, enzyme-directed evolution screening, microbial interaction studies, and the cultivation of novel bacterial species are discussed, underscoring the technology's broad potential in microbiological research and biotechnology.

Indexed as

BacteriaBiosensing TechniquesMicrofluidic Analytical TechniquesMicrofluidicsHumansbacteriadroplet-based microfluidicssingle-cell analysisuncultured microorganisms

Identifiers

PMID40862995
PMCPMC12384171

What OpenQuestion holds

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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.