Evidence map›Paper›PMID 37896749›Full record

ReviewSensors (Basel, Switzerland)2023

An Overview to Molecularly Imprinted Electrochemical Sensors for the Detection of Bisphenol A.

Ying Pan, Mengfan Wu, Mingjiao Shi, Peizheng Shi, Ningbin Zhao, Yangguang Zhu, Hassan Karimi-Maleh, Chen Ye, Cheng-Te Lin, Li Fu

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. 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. Review
  3. Article
  4. Review
  5. Review
  6. Advances in nanomedicine and delivery systems for gastric cancer research.Frontiers in bioengineering and biotechnology · 2025
    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

10 authors.

Ying PanCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Mengfan WuQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Mingjiao ShiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Peizheng ShiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Ningbin ZhaoQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Yangguang ZhuQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Hassan Karimi-MalehSchool of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-1027-481X
Chen YeQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Cheng-Te LinQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0002-7090-9610
Li FuCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-5957-7790

Funding

CAS Youth Innovation Promotion Association 2020301China Postdoctoral Science Foundation 2020M681965, 2022M713243National Key R&D Program of China 2022YFA1203100, 2022YFB3706602, 2021YFB3701801National Natural Science Foundation of China 52272053, 52075527, 52102055Ningbo 3315 Innovation Team 2019A-18-CNingbo Key Scientific and Technological Project 2021Z120, 2021Z115, 2022Z084, 2022Z191Project of Chinese Academy of Science XDA22020602, ZDKYYQ2020001Science and Technology Major Project of Ningbo 2021ZDYF020196, 2021ZDYF020198Yongjiang Talent Introduction Programme of Ningbo 2021A-037-C, 2021A-108-GYouth Fund of Chinese Academy of Sciences JCPYJ-22030
6 · The paper itself

Abstract

Bisphenol A (BPA) is an industrial chemical used extensively in plastics and resins. However, its endocrine-disrupting properties pose risks to human health and the environment. Thus, accurate and rapid detection of BPA is crucial for exposure monitoring and risk mitigation. Molecularly imprinted electrochemical sensors (MIES) have emerged as a promising tool for BPA detection due to their high selectivity, sensitivity, affordability, and portability. This review provides a comprehensive overview of recent advances in MIES for BPA detection. We discuss the operating principles, fabrication strategies, materials, and methods used in MIES. Key findings show that MIES demonstrate detection limits comparable or superior to conventional methods like HPLC and GC-MS. Selectivity studies reveal excellent discrimination between BPA and structural analogs. Recent innovations in nanomaterials, novel monomers, and fabrication techniques have enhanced sensitivity, selectivity, and stability. However, limitations exist in reproducibility, selectivity, and stability. While challenges remain, MIES provide a low-cost portable detection method suitable for on-site BPA monitoring in diverse sectors. Further optimization of sensor fabrication and characterization will enable the immense potential of MIES for field-based BPA detection.

Indexed as

Molecular ImprintingBisphenol A CompoundsElectrochemical TechniquesHumansPlasticsReproducibility of Resultsbisphenol ABisphenol A CompoundsPlasticsbisphenol Aelectrochemical sensorsmolecularly imprinted polymerson-site detectionselectivitysensitivity

Identifiers

PMID37896749
PMCPMC10611091

What Socratic 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 Socratic graph.