Evidence map›Paper›PMID 30648567›Full record

ArticleJournal of food and drug analysis2019

rGO-NS SERS-based coupled chemometric prediction of acetamiprid residue in green tea.

Md Mehedi Hassan, Quansheng Chen, Felix Y H Kutsanedzie, Huanhuan Li, Muhammad Zareef, Yi Xu, Mingxiu Yang, Akwasi A Agyekum

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of food and drug analysis, 2019. 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. Article
  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

8 authors.

Md Mehedi HassanSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Quansheng ChenSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Felix Y H KutsanedzieSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Huanhuan LiSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Muhammad ZareefSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Yi XuSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Mingxiu YangSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Akwasi A AgyekumSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pesticide residue in food is of grave concern in recent years. In this paper, a rapid, sensitive, SERS (Surface-enhanced Raman scattering) active reduced-graphene-oxide-gold-nano-star (rGO-NS) nano-composite nanosensor was developed for the detection of acetamiprid (AC) residue in green tea. Different concentrations of AC combined with rGO-NS nano-composite electro-statically, yielded a strong SERS signal linearly with increasing concentration of AC ranging from 1.0 × 10

Indexed as

Food ContaminationGoldGraphiteLimit of DetectionNanocompositesNanotechnologyNeonicotinoidsPesticide ResiduesSpectrum Analysis, RamanTeaacetamipridGoldgraphene oxideGraphiteNeonicotinoidsPesticide ResiduesTeaAcetamiprid residueChemometricsGreen teaReduced graphene oxide-gold nanostarSurface-enhanced Raman scattering

Identifiers

PMID30648567
PMCPMC9298640

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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.