Evidence map›Paper›PMID 32708669›Full record

ArticleSensors (Basel, Switzerland)2020

An Electrochemical Sensor Based on Gold-Nanocluster-Modified Graphene Screen-Printed Electrodes for the Detection of β-Lactoglobulin in Milk.

Jingyi Hong, Yuxian Wang, Liying Zhu, Ling Jiang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
–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. Article
  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.

Jingyi HongCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.
Yuxian WangCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, China.
Liying ZhuSchool of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 211816, China.
Ling JiangCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China.ORCID 0000-0001-6625-5557

Funding

the National Key R&D Program of China 2017YFC1600404the National Natural Science Foundation of China 31922070the Natural Science Foundation of Jiangsu Province BK20171461the Natural Science Foundation of Jiangsu Province BK20180038
6 · The paper itself

Abstract

A simple and low-cost electrochemical sensor based on multimodified screen-printed electrodes (SPEs) was successfully synthesized for the sensitive detection of β-lactoglobulin (β-Lg). The surface treatment of SPEs was accomplished by a simple drip coating method using polyethyleneimine (PEI), reduced graphene oxide (rGO), and gold nanoclusters (AuNCs), and the treated SPEs showed excellent electrical conductivity. The modified SPEs were then characterized with UV-Vis, SEM, TEM, and FTIR to analyze the morphology and composition of the AuNCs and the rGO. An anti-β-Lg antibody was then immobilized on the composite material obtained by modifying rGO with PEI and AuNCs (PEI-rGO-AuNCs), leading to the remarkable reduction in conductivity of the SPEs due to the reaction between antigen and antibody. The sensor obtained using this novel approach enabled a limit of detection (LOD) of 0.08 ng/mL and a detection range from 0.01 to 100 ng/mL for β-Lg. Furthermore, pure milk samples from four milk brands were measured using electrochemical sensors, and the results were in excellent agreement with those from commercial enzyme-linked immunosorbent assay (ELISA) methods.

Indexed as

Biosensing TechniquesGraphiteAnimalsElectrochemical TechniquesElectrodesGoldLactoglobulinsLimit of DetectionMetal NanoparticlesMilkGoldGraphiteLactoglobulinselectrochemical sensorsPEI-rGO-AuNCsscreen-printed electrodeβ-lactoglobulin

Identifiers

PMID32708669
PMCPMC7412347

What OpenQuestion holds

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Registered trials

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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.