Many diverse technological applications, such as soft robotics and flexible electronics, demand the development of intelligent sensors that can simultaneously detect different physical parameters. Taking advantage of plasmonic structures, which can experience minute variations in physical parameters upon close contact, herein, a dual channel based silver nanostructure of concentric square rings and disks on an SiO substrate is proposed for the synchronized detection of magnetic field () and temperature (). The thermometric polydimethylsiloxane (PDMS) and ferromagnetic FeO were placed in two channels of the nanostructure, forming the sensor. The structure modeling and electromagnetic study were carried out using the finite element method (FEM). The simultaneous detection of and was realized through the sensing matrix, which solved the problem of cross-sensitivity caused by a variation in temperature. Furthermore, the impact of structural asymmetry on the performance of the sensor was studied by tuning its geometrical parameters, such as disk length and ring length, separately and together. Asymmetry and the channel size significantly enhanced the performance, where disk optimization increased the temperature and magnetic field sensitivity by about 760 and 8319 times using 70% and 80% asymmetric systems, respectively. Also, the smallest Δ (5 nm) provided a sufficiently high channel separation factor of about 7.47 μm during multi-parameter sensing. In addition, asymmetric sensing toward a single parameter was tested by placing PDMS/FeO on both channels. Multiple peaks were displayed with high sensitivity and CH-factor, making the detection more specific. Thus, the system possessing a combination of narrow channels and unique channel asymmetry exhibited excellent multi- and single-sensing for the detection of temperature and magnetic field.

Download full-text PDF

Source
http://dx.doi.org/10.1039/d3cp01748fDOI Listing

Publication Analysis

Top Keywords

magnetic field
16
temperature magnetic
12
silver nanostructure
8
physical parameters
8
temperature
5
dual functional
4
functional asymmetric
4
asymmetric plasmonic
4
plasmonic silver
4
nanostructure temperature
4

Similar Publications

The dorsolateral prefrontal cortex (dlPFC) is increasingly targeted by various noninvasive transcranial magnetic stimulation or transcranial current stimulation protocols in a range of neuropsychiatric and other brain disorders. The rationale for this therapeutic modulation remains elusive. A model is proposed, and up-to-date evidence is discussed, suggesting that the dlPFC is a high-level cortical centre where uncertainty management, movement facilitation, and cardiovascular control processes are intertwined and integrated to deliver optimal behavioural responses in particular environmental or emotional contexts.

View Article and Find Full Text PDF

Achieving ultrahigh permeance and superoleophobicity is crucial for membrane application. Here, we demonstrated that a poly(ionic liquid)/PES hydrogel membrane can achieve dual goals. The high polarity of the ionic liquids induces the water molecules on the membrane surface to be arranged more ordered, as verified by molecular dynamics (MD) simulation and advanced femtosecond sum frequency generation (SFG) vibrational spectroscopy.

View Article and Find Full Text PDF

Cancer remains a leading cause of mortality, with aggressive, treatment-resistant tumors posing significant challenges. Current combination therapies and imaging approaches often fail due to disparate pharmacokinetics and difficulties correlating drug delivery with therapeutic response. In this study, we developed radionuclide-activatable theranostic nanoparticles (NPs) comprising folate receptor-targeted bimetallic organo-nanoparticles (Gd-Ti-FA-TA NPs).

View Article and Find Full Text PDF

Background: The development of heat transfer devices used for heat conversion and recovery in several industrial and residential applications has long focused on improving heat transfer between two parallel plates. Numerous articles have examined the relevance of enhancing thermal performance for the system's performance and economics. Heat transport is improved by increasing the Reynolds number as the turbulent effects grow.

View Article and Find Full Text PDF

Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI.

Heliyon

January 2025

BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.

Deformable image registration is a cornerstone of many medical image analysis applications, particularly in the context of fetal brain magnetic resonance imaging (MRI), where precise registration is essential for studying the rapidly evolving fetal brain during pregnancy and potentially identifying neurodevelopmental abnormalities. While deep learning has become the leading approach for medical image registration, traditional convolutional neural networks (CNNs) often fall short in capturing fine image details due to their bias toward low spatial frequencies. To address this challenge, we introduce a deep learning registration framework comprising multiple cascaded convolutional networks.

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!