A distance-based paper sensor for the determination of chloride ions using silver nanoparticles.

Analyst

Organic Synthesis, Electrochemistry & Natural Product Research Unit, Department of Chemistry, Faculty of Science, King Mongkut's University of Technology Thonburi, Prachautid Road, Thungkru, Bangkok, 10140, Thailand.

Published: August 2018

We report for the first time the development of a distance-based paper sensor for a simple, inexpensive, instrument-free, and portable determination of chloride ions. Our analysis reaction is based on the oxidative etching of silver nanoparticles (AgNPs) to form AgCl in the presence of Cl- and H2O2. H2O2 reacts with AgNPs in the channel of the paper device and Cl- in the sample forming a white precipitate (AgCl) where the white color band length is proportional to the Cl- concentration. Quantification of Cl- is achieved by measuring the length of the white color band using a ruler printed on the side of the channel. Under optimal conditions, the distance-based paper sensor was characterized by a working range of 25-1000 mg L-1 (R2 = 0.9954) and the naked eye detection limit (LOD) was 2 mg L-1 (0.08 μg). Our sensor was found to be reproducible with a relative standard deviation of less than 4.51% (n = 10). The levels of Cl- in real water samples measured using our proposed device were within the error of the values measured using traditional tests but without the need for any external instrumentation. Therefore, our proposed method presents acceptable accuracy, precision, and high selectivity for point of need monitoring of Cl- in real water samples.

Download full-text PDF

Source
http://dx.doi.org/10.1039/c8an00670aDOI Listing

Publication Analysis

Top Keywords

distance-based paper
12
paper sensor
12
determination chloride
8
chloride ions
8
silver nanoparticles
8
white color
8
color band
8
cl- real
8
real water
8
water samples
8

Similar Publications

The integration of barcode technology with smartphones on paper-based analytical devices (PADs) presents a promising approach to bridging manual detection with digital interpretation and data storage. However, previous studies of 1D barcode approaches have been limited to providing only a "yes/no" response for analyte detection. Herein, a method of using barcode readout for semiquantitative signal detection on PADs has been achieved through the integration of barcode technology with a distance-based measurement concept on PADs.

View Article and Find Full Text PDF

Genetic identification of zoonotic parasite Anisakis pegreffii (Nematoda: Anisakidae) parasitizing the shortfin squid Illex argentinus under commercial exploitation in the Southwestern Atlantic Ocean.

Int J Food Microbiol

January 2025

Laboratorio de Ictioparasitología, Instituto de Investigaciones Marinas y Costeras (IIMyC), Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Mar del Plata- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Despite the shortfin squid, Illex argentinus, is one of the most important commercial species for the Argentine fisheries, being the third frozen product exported to Europe, the occurrence and distribution of zoonotic anisakid nematodes is scarcely reported. A total of 712 I. argentinus distributed in 17 samples, corresponding to its three main commercial stocks, caught along its distribution range in Argentine waters were examined for anisakid parasites.

View Article and Find Full Text PDF

Development and external validation of a multi-task feature fusion network for CTV segmentation in cervical cancer radiotherapy.

Radiother Oncol

December 2024

Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Army Medical University, Chongqing 400038, China. Electronic address:

Background And Purpose: Accurate segmentation of the clinical target volume (CTV) is essential to deliver an effective radiation dose to tumor tissues in cervical cancer radiotherapy. Also, although automated CTV segmentation can reduce oncologists' workload, challenges persist due to the microscopic spread of tumor cells undetectable in CT imaging, low-intensity contrast between organs, and inter-observer variability. This study aims to develop and validate a multi-task feature fusion network (MTF-Net) that uses distance-based information to enhance CTV segmentation accuracy.

View Article and Find Full Text PDF

Novel and simple spectrophotometric and distance based procedures for thiols (L-cysteine, N-acetylcysteine, and glutathione) determination in biological fluids and pharmaceuticals have been proposed based on their inhibitory action on the oxidation of catechol in the presence of Agaricus bisporus crude extract (ABE). The influence of L-glycine, L-alanine, L-proline, L-methionine, L-cystine, ascorbic acid, uric acid, and bilirubin on the thiol determination has been investigated. Uric acid, bilirubin, L-cystine (oxidized thiol), and L-amino acids do not interfere with the determination.

View Article and Find Full Text PDF

Memory-Non-Linearity Trade-Off in Distance-Based Delay Networks.

Biomimetics (Basel)

December 2024

IDLab-AIRO, Faculty of Engineering and Architecture, Ghent University, 9052 Ghent, Belgium.

The performance of echo state networks (ESNs) in temporal pattern learning tasks depends both on their memory capacity (MC) and their non-linear processing. It has been shown that linear memory capacity is maximized when ESN neurons have linear activation, and that a trade-off between non-linearity and linear memory capacity is required for temporal pattern learning tasks. The more recent distance-based delay networks (DDNs) have shown improved memory capacity over ESNs in several benchmark temporal pattern learning tasks.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!