AIMC Topic: Spectrometry, X-Ray Emission

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Geographical origin differentiation of Philippine Robusta coffee (C. canephora) using X-ray fluorescence-based elemental profiling with chemometrics and machine learning.

Food chemistry Mar 6, 2025
The increasing demand for authenticity and traceability in high-value crops underscores the need for reliable methods to verify the geographical origin of single-origin coffee and prevent fraud. This study explores a rapid and cost-effective approach...
Discriminant Analysis Coffea Trace Elements Principal Component Analysis Geography Spectrometry, X-Ray Emission Chemometrics Philippines Coffee Machine Learning
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Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods.

Environmental geochemistry and health Mar 5, 2025
Accurate elemental analysis is a critical requirement for mineral exploration, particularly in regions like Iran, where the mining sector has experienced a substantial increase in exploration activities over the past decade. Inductively Coupled Plasm...
Deep Learning Iron Iran Cost-Benefit Analysis Environmental Monitoring Mass Spectrometry Mining Spectrometry, X-Ray Emission
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Identifying bee species origins of Philippine honey using X-ray fluorescence elemental analysis coupled with machine learning.

Food chemistry Feb 1, 2025
Stingless bee honey is emerging as a superfood, given its enhanced health and therapeutic benefits. In this paper, we used handheld X-ray fluorescence spectroscopy (hXRF) with machine learning techniques to classify Philippine honey based on its ento...
Machine Learning Animals Philippines Honey Spectrometry, X-Ray Emission Bees
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Machine Learning Correlation of Electron Micrographs and ToF-SIMS for the Analysis of Organic Biomarkers in Mudstone.

Journal of the American Society for Mass Spectrometry Dec 19, 2024
The spatial distribution of organics in geological samples can be used to determine when and how these organics were incorporated into the host rock. Mass spectrometry (MS) imaging can rapidly collect a large amount of data, but ions produced are mix...
Spectrometry, Mass, Secondary Ion Geologic Sediments Spectrometry, X-Ray Emission Machine Learning Algorithms Organic Chemicals Microscopy, Electron, Scanning Biomarkers
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Informed Chemical Classification of Organophosphorus Compounds via Unsupervised Machine Learning of X-ray Absorption Spectroscopy and X-ray Emission Spectroscopy.

The journal of physical chemistry. A Jul 15, 2022
We analyze an ensemble of organophosphorus compounds to form an unbiased characterization of the information encoded in their X-ray absorption near-edge structure (XANES) and valence-to-core X-ray emission spectra (VtC-XES). Data-driven emergence of ...
Spectrometry, X-Ray Emission X-Ray Absorption Spectroscopy Ligands Organophosphorus Compounds Humans Unsupervised Machine Learning
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Rotatable central composite design versus artificial neural network for modeling biosorption of Cr by the immobilized Pseudomonas alcaliphila NEWG-2.

Scientific reports Jan 18, 2021
Heavy metals, including chromium, are associated with developed industrialization and technological processes, causing imbalanced ecosystems and severe health concerns. The current study is of supreme priority because there is no previous work that d...
Water Pollutants, Chemical Adsorption Chromium Ions Regression Analysis Neural Networks, Computer Water Purification Pseudomonas Cells, Immobilized Surface Properties Spectrometry, X-Ray Emission
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Comprehensive nutrient analysis in agricultural organic amendments through non-destructive assays using machine learning.

PloS one Dec 10, 2020
Portable X-ray fluorescence (pXRF) and Diffuse Reflectance Fourier Transformed Mid-Infrared (DRIFT-MIR) spectroscopy are rapid and cost-effective analytical tools for material characterization. Here, we provide an assessment of these methods for the ...
Spectrometry, X-Ray Emission Organic Agriculture Spectroscopy, Fourier Transform Infrared Nutrients Fertilizers Machine Learning Soil
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Betulin-loaded PEDOT films for regional chemotherapy.

Materials science & engineering. C, Materials for biological applications Dec 28, 2016
Chemotherapy is one of the most commonly used cancer treatments. Even so, it has significant adverse effects on healthy tissues. These effects can be avoided through the use of regional chemotherapy, an approach based on delivering the anti-cancer ag...
Spectrometry, X-Ray Emission Spectrophotometry, Infrared Polymerization KB Cells Triterpenes Cell Death Bridged Bicyclo Compounds, Heterocyclic Electrochemistry MCF-7 Cells Polymers Humans Antineoplastic Agents
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Rapid ellipsometric determination and mapping of alloy stoichiometry with a neural network.

Optics letters Apr 15, 2022
Due to their tunable physical and chemical properties, alloys are of fundamental importance in material science. The determination of stoichiometry is crucial for alloy engineering. Classical characterization tools such as energy-dispersive x-ray spe...
Neural Networks, Computer Alloys Spectrometry, X-Ray Emission
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