Publications by authors named "L Duponchel"
There is a growing interest in the development of methods for the detection of nanoparticle (NP) toxicity to living organisms based on the analysis of relevant multidimensional data sets. In particular the detection of preliminary signs of NPs toxicity effects would benefit from the selection of data featuring NPs-induced alterations of biological barriers. Accordingly, we present an original Topological Data Analysis (TDA) of the nanomechanical properties of Escherichia coli cell surface, evaluated by multiparametric Atomic Force Microscopy (AFM) after exposure of the cells to increasing concentrations of titanium dioxide nanoparticles (TiONPs).
View Article and Find Full Text PDFArticle Synopsis
- * Two predictive modeling methods, Partial Least Squares (PLS) and Convolutional Neural Networks (CNNs), are utilized to estimate concentrations of 24 elements in LIBS spectra, with CNNs demonstrating superior predictive accuracy and stability compared to PLS.
- * The study progresses through three phases, ultimately fine-tuning CNN models to focus on specific elements and yielding notable predictions for Aluminum, Silicon, Iron, and others, while exploring the effects of changing model training parameters.
Article Synopsis
- Laser-induced breakdown spectroscopy (LIBS) imaging shows great promise in clinical analysis by enabling fast and thorough elemental analysis of biopsy tissues, even at trace levels due to its hyperspectral capabilities.
- A new method called the convex envelope approach (IFF) was developed to identify rare elements in patient tissues without prior assumptions, a task difficult for traditional analytical tools.
- The innovative data analysis process successfully detected and mapped exotic elements like tin and rhodium in biopsies, suggesting a potential reclassification of patients' lung conditions as occupational diseases, showcasing LIBS as a valuable diagnostic tool in analytical chemistry.
Article Synopsis
- Analytical chemistry has become increasingly vital in archaeology, allowing researchers to analyze material remains with advanced instrumental techniques like Raman spectral imaging for better spatial and temporal data.
- Raman spectral imaging offers a non-invasive way to gather both spatial and spectral information about archaeological samples, but interpreting this data can be complex due to the intricate and often degraded nature of such artifacts.
- The study focuses on applying chemometric methods, particularly the MCR-ALS algorithm, to improve the extraction of meaningful spectral data from an archaeological mosaic fragment found in France, addressing challenges in accurately identifying minor chemical components amidst dominant signals.
Analytical chemistry has never yielded such a wealth of experimental data as it does today, and this exponential trend shows no sign of abating. We continually advance the capabilities of our instruments and conceive innovative concepts, all in a concerted effort to naturally push the boundaries of our understanding regarding intricate sample matrices. Spectroscopic imaging, in the broadest sense, is certainly the field where we observe this acceleration even more pronouncedly.
View Article and Find Full Text PDF