35 research outputs found
Advancing chirality analysis through enhanced enantiomer characterization and quantification via fast Fourier transform capacitance voltammetry
Abstract The exploration of the chiral configurations of enantiomers represents a highly intriguing realm of scientific inquiry due to the distinct roles played by each enantiomer (D and L) in chemical reactions and their practical utilities. This study introduces a pioneering analytical methodology, termed fast Fourier transform capacitance voltammetry (FFT-CPV), in conjunction with principal component analysis (PCA), for the identification and quantification of the chiral forms of tartaric acid (TA), serving as a representative model system for materials exhibiting pronounced chiral characteristics. The proposed methodology relies on the principle of chirality, wherein the capacitance signal generated by the adsorption of D-TA and L-TA onto the surface of a platinum electrode (Pt-electrode) in an acidic solution is harnessed. The capacitance voltammograms were meticulously recorded under optimized experimental conditions. To compile the final dataset for the analyte, the average of the FFT capacitance voltammograms of the acidic solution (without the presence of the analyte) was subtracted from those containing the analyte. A distinct arrangement was obtained by employing PCA as a linear data transformation method, representing D-TA and L-TA in a two/three-dimensional space. The outcomes of the study reveal the successful detection of the two chiral forms of TA with a considerable degree of precision and reproducibility. Moreover, the proposed method facilitated the establishment of two linear response ranges for the concentration values of each enantiomer, spanning from 1 to 20 µM, and 50 to 500 µM. The respective detection limits were also determined to be 0.4 µM for L-TA and 1.3 µM for D-TA. These findings underscore the satisfactory sensitivity and efficiency of the proposed method in both qualitative and quantitative assessments of the chiral forms of TA
Single-step functionalization of poly-catecholamine nanofilms for ultra-sensitive immunosensing of ubiquitin carboxyl terminal hydrolase-L1 (UCHL-1) in spinal cord injury
A developed equation for electrical conductivity of polymer carbon nanotubes (CNT) nanocomposites based on Halpin-Tsai model
A PCR-free screen-printed magnetic electrode for the detection of circular RNA from hepatocellular cancer based on a back-splice junction
Nanoporous Carbon Immunosensor for Highly Accurate and Sensitive Clinical Detection of Glial Fibrillary Acidic Protein in Traumatic Brain Injury, Stroke, and Spinal Cord Injury
Elevated glial fibrillary acidic protein (GFAP) in the
blood serum
is one of the promising bodily fluid markers for the diagnosis of
central nervous system (CNS) injuries, including traumatic brain injury
(TBI), stroke, and spinal cord injury (SCI). However, accurate and
point-of-care (POC) quantification of GFAP in clinical blood samples
has been challenging and yet to be clinically validated against gold-standard
assays and outcome practices. This work engineered and characterized
a novel nanoporous carbon screen-printed electrode with significantly
increased surface area and conductivity, as well as preserved stability
and anti-fouling properties. This nano-decorated electrode was immobilized
with the target GFAP antibody to create an ultrasensitive GFAP immunosensor
and quantify GFAP levels in spiked samples and the serum of CNS injury
patients. The immunosensor presented a dynamic detection range of
100 fg/mL to 10 ng/mL, a limit of detection of 86.6 fg/mL, and a sensitivity
of 20.3 Ω mL/pg mm2 for detecting GFAP in the serum.
Its clinical utility was demonstrated by the consistent and selective
quantification of GFAP comparable to the ultrasensitive single-molecule
array technology in 107 serum samples collected from TBI, stroke,
and SCI patients. Comparing the diagnostic and prognostic performance
of the immunosensor with the existing clinical paradigms confirms
the immunosensor’s accuracy as a potential complement to the
existing imaging diagnostic modalities and presents a potential for
rapid, accurate, cost-effective, and near real-time POC diagnosis
and prognosis of CNS injuries
Developing a fluorescence immunosensor for detection of HER2-positive breast cancer based on graphene and magnetic nanoparticles
microRNAs as the biomarkers of chemotherapy-induced peripheral neuropathy in patients with multiple myeloma
PSA detection using label free graphene FET with coplanar electrodes based microfluidic point of care diagnostic device
Non-enzymatic sensor based on nitrogen-doped graphene modified with Pd nano-particles and NiAl layered double hydroxide for glucose determination in blood
Herein, a novel highly sensitive and selective non-enzymatic glucose sensor was developed. This sensor was prepared with a one-step electrodeposition process, which means that the palladium nanoparticles and NiAl layered double hydroxide were electrosynthesized simultaneously (Pd-NiAl-LDH) on a graphite sheet electrode (GS) covered by nitrogen-doped functionalized graphene (NFG). The sensing performance was investigated by linear sweep voltammetry (LSV), cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS) and chronoamperometry (CA) techniques. The results revealed that the one-step electrodeposition of Pd-NiAl-LDH nanocomposite on NFG provided a large surface area containing Ni and Pd electroactive centers and enhanced the electron transfer. This resulted in a remarkable effect on signal amplification toward glucose oxidation, with a wide linear range from 500 nM to 10 mM, an acceptable sensitivity of 315.46 μA. cm−2. dec−1 and a low detection limit of 234 nM based on a signal to noise ratio of 3. The relative standard deviation (RSD%) in all detection tests was lower than 5% and also the performance of fabricated GS/NFG/Pd-NiAl-LDH electrode which investigated in human real samples including serum, plasma and blood was acceptable, indicating the ability of the fabricated sensor in biological and clinical applications