AIMC Topic: Silver
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Fabrication of highly catalytic silver nanoclusters/graphene oxide nanocomposite as nanotag for sensitive electrochemical immunoassay.
Analytica chimica acta
Dec 18, 2015
Silver nanoclusters and graphene oxide nanocomposite (AgNCs/GRO) is synthesized and functionalized with detection antibody for highly sensitive electrochemical sensing of carcinoembryonic antigen (CEA), a model tumor marker involved in many cancers. ...
Detection and direct readout of drugs in human urine using dynamic surface-enhanced Raman spectroscopy and support vector machines.
Analytical chemistry
Feb 10, 2015
A new, novel, rapid method to detect and direct readout of drugs in human urine has been developed using dynamic surface-enhanced Raman spectroscopy (D-SERS) with portable Raman spectrometer on gold nanorods (GNRs) and a classification algorithm call...
Artificial neural network assisted kinetic spectrophotometric technique for simultaneous determination of paracetamol and p-aminophenol in pharmaceutical samples using localized surface plasmon resonance band of silver nanoparticles.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 5, 2014
Spectrophotometric analysis method based on the combination of the principal component analysis (PCA) with the feed-forward neural network (FFNN) and the radial basis function network (RBFN) was proposed for the simultaneous determination of paraceta...
Diagnosis of uterine diseases by label-free serum SERS fingerprints with machine learning.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 5, 2025
Early detection of uterine diseases is critically important for women's reproductive health. Here, we propose a novel and robust serum-based SERS analysis platform that integrates machine learning algorithms. This is the first application of it in th...
Dual-mode nanosensor for sensitive detection of methotrexate based on fluorescence technology and deep learning algorithms.
Analytica chimica acta
Aug 8, 2025
BACKGROUND: Methotrexate (MTX) in the body can result in severe, potentially life-threatening side effects. As a result, it is imperative to establish a dependable, precise, and specific method for detecting MTX. However, conventional sensors often s...
Molecule-Responsive SERS Sensors for Urine Diagnosis of Kidney Diseases Enhanced by Neural Networks.
Analytical chemistry
Jul 1, 2025
Early diagnosis of kidney disease is crucial for treatment and prognosis. Compared with kidney biopsy, a noninvasive urine-based diagnosis method of kidney disease can be more convenient and less painful for patients. Urine is closely associated with...
Deep Learning-Assisted Nanocavity Sensor for Amphiphilic Biomarker Analysis.
Analytical chemistry
Jul 1, 2025
Fluorescence enhancement using nanocavity structures is a promising approach for rapid detection of amphiphilic biomarkers, which are essential for diagnosing diseases such as cancer and infections. This paper presents the use of a silver nanocube (A...
Active capture-directed bimetallic nanosubstrate for enhanced SERS detection of Staphylococcus aureus by combining strand exchange amplification and wavelength-selective machine learning.
Biosensors & bioelectronics
Jun 15, 2025
Staphylococcus aureus (S. aureus) is the leading risk factor for food safety and human health. Herein, a novel wavelength-selective machine learning -driven adaptive strand exchange amplification (SEA)/SERS biosensor was developed for rapid detection...
SERS based determination of ceftriaxone, ampicillin, and vancomycin in serum using WS/Au@Ag nanocomposites and a 2D-CNN regression model.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
May 15, 2025
Accurate therapeutic drug monitoring (TDM) of antibiotics including ceftriaxone, ampicillin, and vancomycin plays an important role in the treatment of neonatal sepsis, a common and life-threatening disease in neonates. A highly sensitive surface-enh...
Memristive synapses with high reproducibility for flexible neuromorphic networks based on biological nanocomposites.
Nanoscale
Jan 2, 2020
Memristive synapses from biomaterials are promising for building flexible and implantable artificial neuromorphic systems due to their remarkable mechanical and biological properties. However, these biological devices have relatively poor memristive ...
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