Evidence map›Paper›PMID 35200313›Full record

ArticleBiosensors2022

Rapid and Sensitive Detection of Pentachloronitrobenzene by Surface-Enhanced Raman Spectroscopy Combined with Molecularly Imprinted Polymers.

Jing Neng, Caiping Liao, Yazhi Wang, Yan Wang, Kai Yang

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. 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
1.7field-weighted citation impact, top 17% 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, 19 citations in OpenAlex.

  1. Review
  2. Recent Advancements in the SERS-Based Detection ofSensors (Basel, Switzerland) · 2026
    Review
  3. Review
  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

5 authors at 1 institution in 1 country.

Jing NengCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.
Caiping LiaoCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.
Yazhi WangCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.
Yan WangCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.
Kai YangCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.ORCID 0000-0001-5571-6645
Zhejiang University of Technology · CN

Funding

National Natural Science Foundation of China 31301483Zhejiang Provincial Natural Science Foundation LY17C200016
6 · The paper itself

Abstract

Molecularly imprinted polymers (MIPs) specifically targeting pentachloronitrobenzene (PCNB) and containing silver nanoparticles have been prepared by free radical polymerization reaction using methyl methacrylate (MMA) as a functional monomer, PCNB as a template molecule, 1,4-butanedioldimethacrylate as a cross linker, lauroyl peroxide (LPO) as an initiator, and the silver nanoparticles with the best surface-enhanced Raman scattering (SERS) effect as SERS enhancement materials. Our results indicated that MIPs specifically recognize PCNB from complex matrices. The intensity of the PCNB characteristic peak was proportional to the concentration, with a linear range of 0.005 to 0.15 μg/mL and a limit of detection of 5.0 ng/mL. The recovery rates and relative standard deviation for the detection of PCNB spiked in the rice samples were from 94.4% to 103.3% and from 4.6% to 7.4%, respectively. The experimental results are consistent with those by the GC-MS method, indicating that the rapid detection of PCNB in food matrices by SERS-MIPs is reliable. In view of the insolubility of PCNB in water, oil-soluble silver nanoparticles were synthesized which can be expanded to detect oil-soluble toxic substances. For the first time, the proposed method provides a point-of-care and cost-effective tool for rapidly detecting PCNB in food matrices with high sensitivity and selectivity by employing SERS-MIPs method.

Indexed as

Metal NanoparticlesMolecular ImprintingMolecularly Imprinted PolymersNitrobenzenesPolymersSilverSpectrum Analysis, RamanMolecularly Imprinted PolymersNitrobenzenesPolymersquintozeneSilverdetectionmolecularly imprinted polymersoil-soluble silver nanoparticlespentachloronitrobenzenepesticide residuessurface-enhanced Raman spectroscopy

Identifiers

PMID35200313
PMCPMC8869095
OpenAlexW4205211954

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.