Evidence map›Paper›PMID 34683188›Full record

ReviewMicromachines2021

The Fusion of Microfluidics and Optics for On-Chip Detection and Characterization of Microalgae.

Xinqi Zheng, Xiudong Duan, Xin Tu, Shulan Jiang, Chaolong Song

Abstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Response ofBiosensors · 2023
    Article
  2. Review
  3. Article
  4. Article
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.

Xinqi ZhengSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Xiudong DuanSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Xin TuSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0001-5090-0304
Shulan JiangSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Chaolong SongSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0002-2748-6448

Funding

National Natural Science Foundation of China 61804138Wuhan Science and Technology Bureau 2020010601012164
6 · The paper itself

Abstract

It has been demonstrated that microalgae play an important role in the food, agriculture and medicine industries. Additionally, the identification and counting of the microalgae are also a critical step in evaluating water quality, and some lipid-rich microalgae species even have the potential to be an alternative to fossil fuels. However, current technologies for the detection and analysis of microalgae are costly, labor-intensive, time-consuming and throughput limited. In the past few years, microfluidic chips integrating optical components have emerged as powerful tools that can be used for the analysis of microalgae with high specificity, sensitivity and throughput. In this paper, we review recent optofluidic lab-on-chip systems and techniques used for microalgal detection and characterization. We introduce three optofluidic technologies that are based on fluorescence, Raman spectroscopy and imaging-based flow cytometry, each of which can achieve the determination of cell viability, lipid content, metabolic heterogeneity and counting. We analyze and summarize the merits and drawbacks of these micro-systems and conclude the direction of the future development of the optofluidic platforms applied in microalgal research.

Indexed as

fluorescenceimaging-based flow cytometrylipidmicroalgaeoptofluidicspigmentRaman spectroscopy

Identifiers

PMID34683188
PMCPMC8540680

What OpenQuestion holds

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LicenceCC BY
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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.