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Application of Raman spectroscopy and Machine Learning algorithms for fruit distillates discrimination | Scientific Reports
Berghian-Grosan, C. & Magdas, D. A. Raman spectroscopy and machine-learning for edible oils evaluation. Talanta 218 , 121176 (2024). CAS Article Google Scholar
Our developed machine learning-driven Raman spectroscopy method was able to rapidly and accurately detect the type of 15 edible oils (Table 1). Among different algorithms, the random forest (RF) method was found to have the highest and fastest
Machine-Learning-Driven Raman Spectroscopy for Rapidly Detecting Type and Adulteration of Edible Oils
Machine-Learning-Driven Raman Spectroscopy for Rapidly Detecting Type and Adulteration of Edible Oils Date: June 17, 2024 To June 17, 2040
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Use of Raman spectroscopy for analysing edible vegetable oils
Raman spectroscopy and Machine-Learning for edible oils evaluation Article May 2024 TALANTA Camelia Grosan Alina Magdas View... The molecular vibrations of functional groups in triglycerides can
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PUBLICATION LIST a) ISI Papers (selection)
A. Magdas, Raman spectroscopy and Machine-Learning for edible oils evaluation (2024) Talanta, 121176 3. D. A. Magdas, O. Marincas, G. Cristea, I. Feher, N. Vedeanu, REE’s - a possible tool for geographical origin assessment? Environmental
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Spectroscopy and Chemometrics News Weekly #40, 2024 | NIR Calibration Model
Raman Spectroscopy “Raman spectroscopy and machine-learning for edible oils evaluation” LINK Hyperspectral Imaging (HSI) “Application of hyperspectral imaging for detecting and visualizing leaf lard adulteration in minced pork” LINK “Detection
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Rapid Identification of Rainbow Trout Adulteration in Atlantic Salmon by Raman Spectroscopy Combined with Machine Learning
Molecules 2024, 24, 2851 4 of 14 characteristic peaks have also been reported as common features in the Raman spectra of edible oils below 2000 cm 1 [40–42], and the peak positions and intensities of di erent fatty acids have been observed to be
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Rapid Authentication of Olive Oil Adulteration by Raman Spectrometry | Journal of Agricultural and Food Chemistry
Raman spectroscopy and machine-learning for edible oils evaluation. Talanta 2024, 218 , 121176. Characterization of macadamia and pecan oils and detection of mixtures with other edible seed oils by Raman spectroscopy. Grasas y Aceites 2015,
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Quantitative detection of adulterated olive oil by Raman spectroscopy and chemometrics - Zhang - 2011 - Journal of Raman Spectroscopy - Wiley
María Á. Carmona, Fernando Lafont, César Jiménez‐Sanchidrián, José R. Ruiz, Raman spectroscopy study of edible oils and determination of the oxidative stability at frying temperatures, European Journal of Lipid Science and Technology,
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Applied Sciences | Special Issue : Machine Learning and AI in Food and Beverages Authentication
Due to the complexity of the investigated matrix, we used both methods in connection with chemometrics processing for a quick and valuable evaluation of oils. In addition to this, the possible adulteration of investigated oil varieties (sesame,
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Oil and Fat Classification by FT-Raman Spectroscopy | Journal of Agricultural and Food Chemistry
Raman spectroscopy and machine-learning for edible oils evaluation. Talanta 2024, 218 , 121176. Raman spectroscopy study of edible oils and determination of the oxidative stability at frying temperatures. European Journal of Lipid Science
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Quality of cold‐pressed edible rapeseed oil in Germany - Matthäus - 2003 - Food / Nahrung - Wiley Online Library
Forty‐eight cold‐pressed edible rapeseed oils obtained from small‐ and medium‐sized decentralized plants located all over Germany were characterized by different chemical parameters for their composition and by descriptive sensory evaluation. Be
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‘Raman 1.0’ launched to instantly check for adulteration in edible oil on First- Ever World Food Safety Day
By leveraging advancements in micro-optics, mobile & cloud technology, and AI & machine learning algorithms, Oak Analytics has taken Raman spectroscopy out of the lab and into the field. The Raman-1 spectrometer is a chalkboard duster
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Virtual 2024 AOCS Annual Meeting & Expo
Machine learning has shown great advantages in data analysis and brought about breakthroughs in processing spectra and images. Hence, our central hypothesis is that integrating ML into Raman spectroscopy will significantly increase the accuracy
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Rapid Identification and Characterization of Recovered Edible Oil, Based on Raman and Near-Infrared Spectroscopy
Recovered Edible Oil, Based on Raman and Near-Infrared Spectroscopy Yang Chen, Qingsong Luo, Jie Wang and Xiao Zheng* School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, Hubei of China 430023 *Corresponding author Abstract
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Towards improvement in prediction of iodine value in edible oil system based on chemometric analysis of portable vibrational spectroscopic data
Nunes, C. A. Vibrational spectroscopy and chemometrics to assess authenticity, adulteration and intrinsic quality parameters of edible oils and fats. Food Research International 60 , 255–261 (2014).
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Terahertz spectroscopy and machine learning algorithm for non-destructive evaluation of protein conformation | SpringerLink
Given the condition that protein conformation and activity are highly susceptible to environment factors such as temperature and pH, evaluation of protein conformation and activity is urgently needed in many fields. For example, most protein
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Spectroscopy Europe/World | Spectroscopy Since 1975
Spectroscopy Europe publishes free-to-read articles, columns, and regularly updated news of products, companies and events for the global spectroscopy community. Register for your free subscription Register for free subscriptions to our digital
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Food Analytical Methods | Online first articles
Quantitative Detection of Acid Value During Edible Oil Storage by Raman Spectroscopy: Comparison of the Optimization Effects of BOSS and VCPA Algorithms on the Characteristic Raman Spectra of Edible Oils Authors (first, second and last of 4) Hui
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Performance evaluation of handheld Raman spectroscopy for cocaine detection in forensic case samples - Kranenburg - - Drug Testing and Analysis
Handheld Raman spectroscopy is an emerging technique for rapid on‐site detection of drugs of abuse. Most devices are developed for on‐scene operation with a user interface that only shows whether cocaine has been detected. Extensive validation
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Spectroscopy and Chemometrics News Weekly #50, 2024 | NIR Calibration Model
NIR Machine Learning as a Service, a Game Changer for Productivity and Accuracy/Precision! ( NIRS Spectroscopy AI MLaaS ) LINK NIR-Spectroscopy Method-Development Cost-Comparison To save Time and Money in NIR-spectroscopy, use a Digital Expert
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INFORM Archives - American Oil Chemists' Society
Machine learning-driven Raman spectroscopy for rapidly detecting type, adulteration, and oxidation of edible oils Difference in breast milk concentrations impacts growth up to age 5 March 2024 The high-throughput frontier In vitro digestion
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Direct monitoring of lipid oxidation in edible oils by Fourier transform Raman spectroscopy. - Abstract - Europe PMC
Fourier transform Raman spectroscopy has been used to investigate the chemical changes taking place during lipid oxidation in several edible oils. Oxidative degradation of six vegetable oils was accelerated by heating at 160 degrees C. Formation
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Joshua J Nduwamungu - Product Developer - CompuCom
Machine-Learning-Driven Raman Spectroscopy for Rapidly Detecting Type and Adulteration of Edible Oils 2024 American Oil Chemist' Society Magazine (Inform April 2024 Volume 31 (4)) April 1, 2024
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Raman Spectroscopy and Genetic Algorithms for the Classification of Wood Types - B. K. Lavine, C. E. Davidson, A. J. Moores, P. R. Griffiths, 2001
Raman spectroscopy and pattern recognition techniques are used to develop a potential method to characterize wood by type. The test data consists of 98 Raman spectra of temperate softwoods and hardwoods, and Brazilian and Honduran tropical
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Surface Enhanced Raman Spectroscopy (SERS) | Sigma-Aldrich
Raman spectroscopy measures the molecular vibration and generates a signature profile of a chemical compound. Raman scattering is relatively weak, however, after placing the analyte in the close proximity of certain noble metallic nanostructure,
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Infrared, Near Infrared and Raman Spectroscopy - Bruker
Bruker provides the widest selection of FTIR, FT-NIR, nano-FTIR and Raman spectrometers and microscopes for routine, research and life science applications.
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Francis Kwofie, Ph.D. - Senior Scientist, Chemistry - Merck
he application of Raman spectroscopy and pattern recognition methods to the problem of discriminating edible oils by type was investigated. Two-hundred and eighty-six Raman spectra obtained from
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Classification of Blended Edible Oils Based on Raman Spectroscopy with Chemometrics | International Conference on Information Technology and
Raman spectroscopy was utilized to distinguish the brands of edible oils. As there are more than four thousands of Raman spectral variables which can cause the discrimination model redundancy, it is necessary to do data mining. The 100.0%
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Author: "Cuadros-Rodríguez, Luis" - PubAg Search Results
Samples of olive oils (n = 67) from different qualities and samples of other vegetable edible oils (including soybean, sunflower, rapeseed, corn oil etc; n = 79) were used in this study as pure oils. Previous to spectroscopy analysis, a transest
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