Evidence map›Paper›PMID 37630065›Full record

ArticleMicromachines2023

Biopolymers Used for Receptor Immobilization for Nickel-Detection Biosensors in Food.

Liliana Anchidin-Norocel, Wesley K Savage, Roxana Gheorghita, Sonia Amariei

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Liliana Anchidin-NorocelFaculty of Medicine and Biological Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.
Wesley K SavageFaculty of Medicine and Biological Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0002-3442-6582
Roxana GheorghitaFaculty of Medicine and Biological Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.
Sonia AmarieiFaculty of Food Engineering, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.
Ştefan cel Mare University of Suceava · RO

Funding

Ministerul Cercetării și Inovării PN-III-P1-1.1-PD-2019-1111
6 · The paper itself

Abstract

Food is humans' main source of nickel intake, which is responsible for the prevalence of allergic contact dermatitis and other pathological afflictions. While robust, the classical methods for nickel detection-atomic absorption spectrometry and inductively coupled plasma mass spectrometry-are expensive and laborious; in contrast, modern methods that utilize sensors-of which most are electrochemical-have rapid run times, are cost-effective, and are easily assembled. Here, we describe the use of four biopolymers (alginate, agar, chitosan, and carrageenan) for receptor immobilization on biosensors to detect nickel ions and use an optimization approach with three biopolymer concentrations to assay analytical performance profiles. We measured the total performance of screen-printed carbon electrodes immobilized with the biopolymer-sensor combinations using cyclic voltammetry (CV). Voltammetric behavior favored the carrageenan biosensor, based on performance characteristics measured using CV, with sensitivities of 2.68 (for 1% biopolymer concentration) and 2.08 (for 0.5% biopolymer concentration). Our results indicated that among the four biopolymer combinations, carrageenan with urease affixed to screen-printed electrodes was effective at coupling for nickel detection.

Indexed as

biopolymersenzymenickel ionsoptimizationscreen-printed electrodeurease

Identifiers

PMID37630065
PMCPMC10456834
OpenAlexW4385422576

What Socratic holds

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LicenceCC BY
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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.