Convolutional Neural Network for Accurate Analysis of Methamphetamine With Upconversion Lateral Flow Biosensor
Methamphetamine is a powerful stimulant drug, the abuse of which threatens human health and social stability. Rapid and accurate quantification of methamphetamine is essential to inhibit the abuse and prevalence of methamphetamine effectively. In this paper, we present a portable fluorescence reader with upconverting nanoparticle-labeled lateral flow immunoassay (LFIA) for rapid and accurate quantification of methamphetamine. Based on specific binding of a methamphetamine antigen to an antibody in the LFIA, the fluorescence reader is designed to capture and record the fluorescence intensities T and C of the test and contro...
Source: IEE Transactions on NanoBioscience - December 30, 2022 Category: Nanotechnology Source Type: research
Breast-Cancer Biomarker (C-erbB-2) Detection in Saliva/Serum Based on InGaAs/Si Heterojunction Dopingless TFET Biosensor
This research article reports the electrical detection of breast-cancer biomarker (C-erbB-2) in saliva/serum based on In1-xGaxAs/Si heterojunction dopingless tunnel FET (HJ-DL-TFET) biosensor for highly sensitive and real-time detection. The work takes into account the interface charge modulation effect in dopingless extended gate heterostructure TFET with embedded nanocavity biosensors for the precise, reliable, and fast detection of antigens present in the body fluids such as saliva in place of blood serum. The reported biosensor is numerically simulated in 2D using the SILVACO ATLAS exhaustive calibrated simulation fram...
Source: IEE Transactions on NanoBioscience - December 30, 2022 Category: Nanotechnology Source Type: research
Dynamic Characterization of Single Cells Based on Temporal Cellular Mechanical Properties
In this study, we present a single cell characterization method by modelling the dynamics of cellular mechanical properties measured with an atomic force microscope (AFM). The mechanical dynamics of a single cell system was described by a linear model with a mechanical stimulus as virtual input and mechanical property parameters as outputs. The dynamic mechanical properties of a single cell were characterized by the system matrix of the single cell system. The method was used to classify different types of cells, and the experimental results show that the proposed method outperformed conventional methods by achieving an av...
Source: IEE Transactions on NanoBioscience - December 30, 2022 Category: Nanotechnology Source Type: research
Magnetic Nanoplatform With Novel Potential for the Treatment of Bone Pathologies: Drug Loading and Biocompatibility on Blood and Bone Cells
Magnetic iron oxide nanoparticles (MNPs) coated with citric acid (MG@CA) are proposed as raw materials for the treatment of bone diseases. Citric acid (CA) was selected as coating due to its role in the stabilization of apatite nanocrystals and as a signaling agent for osteoblast activation. Raloxifene (Ral), curcumine (Cur) and methylene blue (MB) were employed as model drugs as therapeutic agents for bone diseases. Characterization of raw and drug loaded nanosystems was conducted in order to elucidate the mechanisms governing interactions between therapeutics and the magnetic platform. Biocompatibility studies wer...
Source: IEE Transactions on NanoBioscience - December 30, 2022 Category: Nanotechnology Source Type: research
Asynchronous Spiking Neural P Systems With Rules Working in the Rule Synchronization Mode
Asynchronous spiking neural P systems with rules on synapses (ARSSN P systems) are a class of computation models, where spiking rules are placed on synapses. In this work, we investigate the computation power of ARSSN P systems working in the rule synchronization mode, where a family of rule sets are specified, and all the rules in a such set should be synchronously used or not. We prove that ARSSN P systems working in the rule synchronization mode are universal as number generating. Additionally, two universal ARSSN P systems working in the rule synchronization mode are constructed to accept numbers and compute functions,...
Source: IEE Transactions on NanoBioscience - December 30, 2022 Category: Nanotechnology Source Type: research
Table of Contents
(Source: IEE Transactions on NanoBioscience)
Source: IEE Transactions on NanoBioscience - December 30, 2022 Category: Nanotechnology Source Type: research
IEEE Transactions on NanoBioscience Publication Information
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Source: IEE Transactions on NanoBioscience - December 30, 2022 Category: Nanotechnology Source Type: research
Front Cover
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Source: IEE Transactions on NanoBioscience - December 30, 2022 Category: Nanotechnology Source Type: research
2022 Index IEEE Transactions on NanoBioscience Vol. 21
Presents the 2022 author/subject index for this issue of the publication. (Source: IEE Transactions on NanoBioscience)
Source: IEE Transactions on NanoBioscience - October 1, 2022 Category: Nanotechnology Source Type: research
IEEE Transactions on NanoBioscience Information for Authors
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Source: IEE Transactions on NanoBioscience - September 27, 2022 Category: Nanotechnology Source Type: research
Spiking Neural P Systems With Enzymes
The neurotransmitter is a chemical substance that transmits information between neurons. Its metabolic process includes four links: synthesis, storage, release and inactivation. As one of the important chemical components of neurotransmitters, acetylcholine is synthesized under the catalysis of acetylcholine coenzyme A and choline acetylase. Inspired by the biological fact that enzymes exist in neurons and that enzymes are involved in neurotransmitter synthesis, we propose spiking neural P systems with enzymes (SNPE). Different from the previous spiking neural P systems and their variants, each neuron of SNPE contains two ...
Source: IEE Transactions on NanoBioscience - September 27, 2022 Category: Nanotechnology Source Type: research
Asymmetrical Relaying in Molecular Communications
In this study, asymmetric molecular links of a relay system are investigated. In order to achieve a satisfactory overall performance in spite of the asymmetries, two parameter optimization methods are proposed for the uplink of a relaying system, based on emitting different types of molecules with different diffusion coefficient values from the transmitters. Due to the channel symmetry, the solutions presented in this study are expected to hold for the downlink as well. The resulting bit error rate (BER) performances are presented and discussed. (Source: IEE Transactions on NanoBioscience)
Source: IEE Transactions on NanoBioscience - September 27, 2022 Category: Nanotechnology Source Type: research
A Deep Learning Approach for the Estimation of Glomerular Filtration Rate
An accurate estimation of glomerular filtration rate (GFR) is clinically crucial for kidney disease diagnosis and predicting the prognosis of chronic kidney disease (CKD). Machine learning methodologies such as deep neural networks provide a potential avenue for increasing accuracy in GFR estimation. We developed a novel deep learning architecture, a deep and shallow neural network, to estimate GFR (dlGFR for short) and examined its comparative performance with estimated GFR from Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. The dlGFR model jointly t...
Source: IEE Transactions on NanoBioscience - September 27, 2022 Category: Nanotechnology Source Type: research
Lycorine Nanoparticles Induce Apoptosis Through Mitochondrial Intrinsic Pathway and Inhibit Migration and Invasion in HepG2 Cells
Lycorine-nanoparticles (LYC-NPs) were successfully synthesized using anti-solvent precipitation-freeze drying method, and characterized using transmission electron microscopy (TEM), particle size analysis and Fourier transform infrared spectroscopy (FTIR). Then, the antitumor effects of LYC-NPs against HepG2 cells were investigated, and the underlying molecular mechanisms were explored. Our results showed that LYC-NPs displayed potent antiproliferative against HepG2 cells concentration dependently. Flow cytometry analysis exhibited that LYC-NPs triggered apoptosis and impeded cell cycle in G0/G1 phase. Moreover, the up-reg...
Source: IEE Transactions on NanoBioscience - September 27, 2022 Category: Nanotechnology Source Type: research
L-Shaped High Performance Schottky Barrier FET as Dielectrically Modulated Label Free Biosensor
In this work, we demonstrate the realization of L-Shaped Schottky Barrier FET as a biosensing device with improved sensitivity. The proposed device uses dual material gate with work functions of 4.2 eV (Al) and 4.8 eV (Cu) and Hafnium Oxide (HfO2) as the gate dielectric. In order to detect the biomolecule, a nano-gap cavity is created in the vertical gate (Gate1) by etching out the oxide. The electrical characteristics of biomolecules such as dielectric constant and charge density modulate the Schottky Barrier width, which in turn, changes the drive current of the device. Various sensitivity parameters have been thoroughly...
Source: IEE Transactions on NanoBioscience - September 27, 2022 Category: Nanotechnology Source Type: research
