Evidence map›Paper›PMID 38667196›Full record

ReviewBiosensors2024

Advances in Biosensors for the Rapid Detection of Marine Biotoxins: Current Status and Future Perspectives.

Xiangwei Zhu, Yufa Zhao, Long Wu, Xin Gao, Huang Huang, Yu Han, Ting Zhu

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2024. 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
2.8field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors at 3 institutions in 1 country.

Xiangwei ZhuNational "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan 430068, China.ORCID 0000-0003-3959-8102
Yufa ZhaoNational "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan 430068, China.
Long WuSchool of Food Science and Engineering, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan University, Haikou 570228, China.ORCID 0000-0003-0212-6419
Xin GaoSchool of Food Science and Engineering, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan University, Haikou 570228, China.
Huang HuangNational "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan 430068, China.
Yu HanHubei Key Laboratory of Quality Control of Characteristic Fruits and Vegetables, College of Life Sciences and Technology, Hubei Engineering University, Xiaogan 432000, China.
Ting ZhuNational "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan 430068, China.
Hubei University of Technology · CNHainan University · CNHubei Engineering University · CN

Funding

Hainan Provincial Natural Science Foundation of China 322MS015Hainan University Start-up Scientific Research Projects of China KYQD(ZR)-21044Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation ZX-2023001National Natural Science Foundation of China 32201953National Natural Science Foundation of China 32360622Shuguang Program of Wuhan Science and Technology Bureau 2022020801020262the Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regula-tion TDYJ-2024003the Projects of the Department of Science and Technology of Hubei 2022BAD123the specific research fund of The Innovation Platform for Academicians of Hainan Province YSPTZX202152the specific research fund of The Innovation Platform for Academicians of Hainan Province YSPTZX202318
6 · The paper itself

Abstract

Marine biotoxins (MBs), harmful metabolites of marine organisms, pose a significant threat to marine ecosystems and human health due to their diverse composition and widespread occurrence. Consequently, rapid and efficient detection technology is crucial for maintaining marine ecosystem and human health. In recent years, rapid detection technology has garnered considerable attention for its pivotal role in identifying MBs, with advancements in sensitivity, specificity, and accuracy. These technologies offer attributes such as speed, high throughput, and automation, thereby meeting detection requirements across various scenarios. This review provides an overview of the classification and risks associated with MBs. It briefly outlines the current research status of marine biotoxin biosensors and introduces the fundamental principles, advantages, and limitations of optical, electrochemical, and piezoelectric biosensors. Additionally, the review explores the current applications in the detection of MBs and presents forward-looking perspectives on their development, which aims to be a comprehensive resource for the design and implementation of tailored biosensors for effective MB detection.

Indexed as

Aquatic OrganismsBiosensing TechniquesMarine ToxinsHumansMarine Toxinsbiosensing technologyfood safetylimitations and prospectsmarine biotoxinssurface-enhanced Raman spectroscopy

Identifiers

PMID38667196
PMCPMC11048312
OpenAlexW4394961866

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.