Evidence map›Paper›PMID 32358654›Full record

ArticleMarine biotechnology (New York, N.Y.)2020

A Facile and Sensitive DNA Sensing of Harmful Algal Blooms Based on Graphene Oxide Nanosheets.

Le Qiang, Yu Zhang, Chao Wu, Yingkuan Han, Suchun Wang, Yanyan Wang, Congcong Zhang, Guangzhou Liu, Qi Wu, Hong Liu and 3 more

Abstract read
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In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Le QiangInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID https://orcid.org/0000-0002-0023-6609
Yu ZhangInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China. yuzhang@sdu.edu.cn.ORCID https://orcid.org/0000-0002-0666-2537
Chao WuTianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China.ORCID https://orcid.org/0000-0001-9923-7320
Yingkuan HanInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID https://orcid.org/0000-0001-8863-1672
Suchun WangInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
Yanyan WangInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.ORCID https://orcid.org/0000-0002-1354-0570
Congcong ZhangInstitute for Advanced Interdisciplinary Research (iAIR), University of Jinan, Jinan, 250022, China.
Guangzhou LiuInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
Qi WuInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
Hong LiuInstitute for Advanced Interdisciplinary Research (iAIR), University of Jinan, Jinan, 250022, China.ORCID https://orcid.org/0000-0002-4110-6333
Ian R JenkinsonAgency for Consultation and Research in Oceanography, 19320, La Roche Canillac, France.ORCID https://orcid.org/0000-0001-5488-8189
Jun SunInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China. phytoplankton@163.com.
Lin HanInstitute of Marine Science and Technology, Shandong University, Qingdao, 266237, China. hanlin@sdu.edu.cn.ORCID https://orcid.org/0000-0003-0461-2031

Funding

China National Funds for Distinguished Young Scientists Grant No.61701282Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong 0Distinguished Middle-Aged and Young Scientist Encourage and Reward Foundation of Shandong Province Grant No. JQ201814National Natural Science Foundation of China 41876134Qilu Young Scholar Funds 11500086963060The Fundamental Research Fund of Shandong University Grant No. 2017JC020The Fundamental Research Funds of Shandong University 2017TB0020
6 · The paper itself

Abstract

Gene detection has important applications in biology, biomedical engineering, clinical, environmental, and marine fields. Rapid, sensitive, and selective recognition of specific genes is essential in practical applications. In this study, we describe a facile and sensitive DNA sensing platform for specific and quantitative detection of Heterosigma akashiwo, which is one of the causative agents of red tides. Fast and sensitive detection is achieved by using chemically synthesized graphene oxide (GO) nanosheets. Probe DNA is designed according to the specific DNA fragments of harmful algae and labeled with fluorescent molecules FAM (fluorescein-based dye). GO nanosheet solution is made, in which the strong interaction between FAM-labeled probe and GO nanosheets keeps them in close proximity, facilitating the fluorescence quenching of the fluorophore by GO nanosheets. In the presence of a complementary target DNA, the FAM-labeled DNA probe and the target DNA hybridize and desorb from the surface of GO nanosheets, resulting in restoration of fluorophore fluorescence. The concentration of target DNA fragments is analyzed by the fluorescence intensity at ~ 520 nm with emission wavelength of 480 nm. The sensitive detecting platform achieved stable measurement of 1 pM specific genes from Heterosigma akashiwo. Our GO nanosheet-based DNA-sensing platform performs fast and sensitive detection of trace amount of DNA, and enables quantitative recognition of harmful algae, which has promising applications in real-time monitoring in the marine environment of red tide generative dynamics, allowing effective control, particularly in relation to marine aquaculture.

Indexed as

Harmful Algal BloomDNA, AlgalEnvironmental MonitoringFluorescenceGraphiteNanostructuresSpectrometry, FluorescenceStramenopilesDNA, Algalgraphene oxideGraphiteGO nanosheetsHarmful algal bloomHeterosigma akashiwoRapid detectionSensitive

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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.