A5025523198- Laser-induced spectroscopy and plasma
- Analytical chemistry methods development
- Mercury impact and mitigation studies
- Cultural Heritage Materials Analysis
- Mass Spectrometry Techniques and Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Alzheimer's disease research and treatments
- Healthcare and Venom Research
- Quantum Dots Synthesis And Properties
- Advanced Neural Network Applications
- Chalcogenide Semiconductor Thin Films
- Geochemistry and Geologic Mapping
- Machine Learning in Bioinformatics
- Acupuncture Treatment Research Studies
- Computational Drug Discovery Methods
- Machine Learning in Healthcare
- Complementary and Alternative Medicine Studies
- Radiomics and Machine Learning in Medical Imaging
- Atomic and Molecular Physics
- Nanowire Synthesis and Applications
- Artificial Intelligence in Healthcare
- Mineral Processing and Grinding
University of Massachusetts Lowell
2023-2025
Western University
2025
Shahid Beheshti University
2015-2021
University of Baghdad
2019
Institute for the Chemistry of OrganoMetallic Compounds
2018
National Research Council
2018
Early detection of Alzheimer's disease is essential for effective treatment and the development therapies that modify progression. Developing sensitive specific noninvasive diagnostic tools crucial improving clinical outcomes advancing our understanding this condition. Liquid biopsy techniques, especially those involving plasma biomarkers, provide a promising method early diagnosis monitoring. In study, we analyzed proteomic profiles 38 healthy individuals, with an average age 66.5 years, 22...
In exploiting the analytical capabilities of plasma-based spectroscopy method, evaluation plasma parameters, particularly temperature, is a crucial step. this work, modified Saha-Boltzmann plot, which uses columnar densities atomic and ionic ground levels, utilized to calculate temperature in laser-induced from an aluminum alloy target. The are here calculated by quantifying self-absorption resonance lines. It demonstrated that promising method for accurate determination temperature. To...
In this review, we report and critically discuss the application of LIBS for determination plasma-emission fundamental parameters, such as transition probabilities, oscillator strengths, Stark broadening shifts, emission lines in spectrum. The knowledge these parameters is paramount importance plasma diagnostics or quantitative analysis using calibration-free methods. first part, theoretical basis laid down; second main experimental analytical approaches by spectral line spectroscopic are...
Abstract In this study, the deep learning algorithm of Convolutional Neural Network long short-term memory (CNN–LSTM) is used to classify various jewelry rocks such as agate, turquoise, calcites, and azure from historical periods styles related Shahr-e Sokhteh. Here, CNN–LSTM architecture includes utilizing CNN layers for extraction features input data mixed with LSTMs supporting sequence forecasting. It should be mentioned that interpretable learning-assisted laser induced breakdown...
In this article, we compare two analytical methods that have been recently proposed: the columnar density Saha-Boltzmann plot method of Cristoforetti and Tognoni (Cristoforetti, G.; Tognoni, E. Spectrochim. Acta, Part B, 2013, 79-80, 63-71) C-sigma model Aragon Aguilera (Aragon, C.; Aguilera, J. A. Quant. Spectrosc. Radiat. Trans. 2014, 149, 90-102). Both are based on exploitation self-absorbed lines for characterization plasmas in laser-induced breakdown spectroscopy experiments. However,...
A one-dimensional numerical model is presented on a copper sample to investigate double-pulse laser induced breakdown spectroscopy (DP-LIBS). The effect of the inter-pulse delay time material ablation, plasma homogeneity, and signal enhancement examined. dynamics plume expansion, formation, radiation ionized neutral atoms in presence helium background gas at pressure 1 atm are studied. heat conduction equation solved coupled fluid dynamic equations through Knudsen layer relations....
Signal enhancement in laser-induced breakdown spectroscopy (LIBS) is the concern of many research groups. In order to increase spectral emission LIBS, a combination electrical spark and (SA-LIBS) on heated sample (SA-LIBS-HS) studied. The mechanism increasing signal examined, comparison between calculated experimental one done. It shown that plasma temperature amount ablation mass are main factors for enhancement. As secondary source excitation, leads an temperature. Heating causes By...
Thin films of Cerium (Ce+3) doped Cadmium Sulfide (CdS) were successfully deposited on glass and silicon substrates by Chemical Spray Pyrolysis Method at different ratios with temperature 200 oC. The results shown a high quality nanoparticles strong orientation to the (002) plane wurtzite (hexagonal) phase. fast rise decay times photocurrent confirmed that best fabricate photodetector device. Light responsivity was (460, 550 680 nm), device showed good specific detectivity quantum efficiency...
Research on the correlation between metal levels in blood and Covid-19 infection has been conducted primarily by assessing how each individual is linked to different aspects of disease using samples from donors with various severity infection. Using logistics regression LIBS spectra plasma collected pre- post- pandemic known have developed antibodies SARS-Cov-2 virus, we show that relying Na, K, Mg together more efficient at differentiating two types than any single alone.
The knowledge of the spectroscopic parameters elemental emission lines is important for diagnostics laser-induced plasmas and application calibration-free/fundamental analytical methods. In this paper, we used recently proposed time-independent extended C-sigma method determining, first time, transition probabilities Stark broadening coefficients several neutral (TIECS) ionic silver lines. allows a compensation self-absorption in plasma, thus providing measure which not affected by optical...
Machine learning analysis of ICP-MS data identifies elemental ratios that differentiates with great accuracy blood plasma Alzheimer’s patients and healthy donors.
Research on the correlation between bio-metal levels in blood and Covid-19 has been conducted primarily by assessing how each individual is linked to different aspects of disease. Instead relying a single approach, we study that focused combined effects four bio-metals differentiation plasma samples from pre-pandemic donors known developed antibodies SARS-Cov-2 virus. Using machine learning laser spectroscopy data, obtain higher patients than when considered separately. This suggests...
Nanoparticle-enhanced laser-induced breakdown spectroscopy and Tag-LIBS are two approaches that have been shown to significantly enhance LIBS sensitivity specificity. In an effort combine both of these approaches, we initiated a study on the effect presence Silver nanoparticle concentrations Europium (Eu) Ytterbium (Yb) signals. We observe signal enhancement emission lines about 10 12 times for lines. This shows enhanced differently; neutral ionized species while only species. Additionally,...