Evidence map›Paper›PMID 38124900›Full record

ArticleBiosensors & bioelectronics: X2023

Development of integrated smartphone/resistive biosensor for on-site rapid environmental monitoring of organophosphate pesticides in food and water.

Hussian Maanaki, Terry Xu, Guibing Chen, Xiuxia Du, Jun Wang

Abstract read
In one paragraph

Article in Biosensors & bioelectronics: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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.

Hussian MaanakiDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Terry XuDepartment of Mechanical Engineering, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Guibing ChenCenter for Excellent in Post-Harvest Technologies, North Carolina A & T State University, NC Research Campus, Kannapolis, NC, 28081, USA.
Xiuxia DuDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Jun WangDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.

Funding

Development of an integrated smartphone-nanosensor platform for onsite biomonitoring of exposure to pesticidesR42ES032388 · NIEHS · NANODIAGNOSTIC TECHNOLOGY, LLC · PI Jun Wang · 2024 to 2026
$1.8M
NanoDiagnotic Technology I-Corps TrainingR41ES032388 · NIEHS · NANODIAGNOSTIC TECHNOLOGY, LLC · PI WANG, JUN · 2021 to 2022
$311k
NIEHS NIH HHS R41 ES032388NIEHS NIH HHS R42 ES032388
6 · The paper itself

Abstract

Organophosphate (OP) pesticides remain a worldwide health concern due to their acute or chronic poisoning and widespread use in agriculture around the world. There is a need for robust and field-deployable tools for onsite detection of OP pesticides in food and water. Herein, we present an integrated smartphone/resistive biosensor for simple, rapid, reagentless, and sensitive monitoring of OP pesticides in food and environmental water. The biosensor leverages the hydrolytic activity of acetylcholinesterase (AChE) to its substrate, acetylcholine (ACh), and unique transport properties of polyaniline nanofibers (PAnNFs) of chitosan/AChE/PAnNF/carbon nanotube (CNT) nanocomposite film on a gold interdigitated electrode. The principle of the sensor relies on OP inhibiting AChE, thus, reducing the rate of ACh hydrolysis and consequently decreasing the rate of protons doping the PAnNFs. Such resulted decrease in conductance of PAnNF can be used to quantify OP pesticides in a sample. A mobile app for the biosensor was developed for analyzing measurement data and displaying and sharing testing results. Under optimal conditions, the biosensor demonstrated a wide linear range (1 ppt-100 ppb) with a low detection limit (0.304 ppt) and high reproducibility (RSD <5%) for Paraoxon-Methyl (PM), a model analyte. Furthermore, the biosensor was successfully applied for analyzing PM spiked food/water samples with an average recovery rate of 98.3% and provided comparable results with liquid chromatography-mass spectrometry. As such, the nanosensing platform provides a promising tool for onsite rapid and sensitive detection of OP pesticides in food and environmental water.

Indexed as

AcetylcholinesteraseMobile appOrganophosphate pesticidesPolyaniline nanofibersResistive nanosensor

Identifiers

PMID38124900
PMCPMC10732357

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.