Evidence map›Paper›PMID 33155077›Full record

ArticleMikrochimica acta2020

Facile construction of a molecularly imprinted polymer-based electrochemical sensor for the detection of milk amyloid A.

Zhengrong Zhang, Shisheng Chen, Jianluan Ren, Fang Han, Xiaofeng Yu, Fang Tang, Feng Xue, Wei Chen, Jielin Yang, Yuan Jiang and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2020. 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
3.1field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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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

14 authors at 3 institutions in 1 country.

Zhengrong ZhangMOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China.
Shisheng ChenMOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China.
Jianluan RenMOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China.
Fang HanHefei Customs Technical Center, Hefei, 230601, China.
Xiaofeng YuHefei Customs Technical Center, Hefei, 230601, China.
Fang TangMOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China.
Feng XueMOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China. xuefeng@njau.edu.cn.
Wei ChenEngineering Research Center of Bio-process, MOE, School of Biotechnology and Food Engineering, Hefei University of Technology, Hefei, 23009, China.
Jielin YangTechnical Center of Animal Plant and Food Inspection and Quarantine, Shanghai Customs, Shanghai, 200135, China.
Yuan JiangTechnical Center of Animal Plant and Food Inspection and Quarantine, Shanghai Customs, Shanghai, 200135, China.
Hongmei JiangMOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China.
Bo LvMOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China.
Jianguo XuEngineering Research Center of Bio-process, MOE, School of Biotechnology and Food Engineering, Hefei University of Technology, Hefei, 23009, China. Jgxu0816@163.com.
Jianjun DaiMOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China.
Nanjing Agricultural University · CNHefei University of Technology · CNShanghai Customs College · CN

Funding

Graduate Research and Innovation Projects of Jiangsu Province (CN) 804121National Key Research and Development Program of China 2018YFC1603600Support Program for Longyuan Youth and Fundamental Research Funds for the Universities of Gansu Province (CN) W0270187
6 · The paper itself

Abstract

A molecularly imprinted electrochemical sensor for the detection of serum amyloid A (MAA) in milk was established for early diagnosis of subclinical mastitis in dairy cows. The electrochemical sensor was initially constructed using a nanocomposite material (reduced graphene oxide/gold nanoparticles, AuNPs@rGO) to modify the working electrode. The template protein, MAA, was then immobilized using pyrrole as the functional monomer to carry out the electropolymerization. Finally, the template protein was removed to form a molecular imprint film with the capability to qualitatively and quantitatively signaling of MAA. Cyclic voltammetry (CV), differential pulse voltammetry (DPV), and scanning electron microscopy (SEM) were used to characterize the modification process of the molecularly imprinted electrochemical sensors. Under optimized conditions, the sensor shows two well-behaved linear relationships in the MAA concentration range 0.01 to 200 ng/mL. A lower detection limit was estimated to be 5 pg/mL (S/N = 3). Other parameters including the selectivity, reproducibility (RSD 3.2%), and recovery rate (96.1-103%) are all satisfactory. Compared with the traditional methods, detection of MAA to determine the subclinical mastitis of dairy cows can efficiently be diagnosed and hence prevent an outbreak of dairy cow mastitis. The electrochemical sensor can detect MAA more rapidly, sensitively, and inexpensively than the ELISA-based MAA detection. These advantages indicate that the method is promising for early diagnosis of dairy cows.

Indexed as

AnimalsCattleDairyingEarly DiagnosisElectrochemical TechniquesFemaleGoldGraphiteLimit of DetectionMastitis, BovineMetal NanoparticlesMicroscopy, Electron, ScanningMicroscopy, Electron, TransmissionMilkMolecularly Imprinted PolymersReproducibility of ResultsGoldgraphene oxideGraphiteMolecularly Imprinted PolymersSerum Amyloid A ProteinElectrochemical sensorMilk amyloid AMolecular imprintingNanocompositeSubclinical mastitis

Identifiers

PMID33155077
OpenAlexW3097674504

What OpenQuestion holds

Textmetadata
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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.