AI, Deep Learning, and Machine Learning in the Dynamic World of Spectroscopy
December 2nd 2024Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.
Diffuse Reflectance Spectroscopy to Advance Tree-Level NSC Analysis
Researchers have developed a novel method combining near-infrared (NIR) and mid-infrared (MIR) diffuse reflectance spectroscopy with advanced data fusion techniques to improve the accuracy of non-structural carbohydrate estimation in diverse tree tissues, advancing carbon cycle research.
Mass Spectrometry for Forensic Analysis: An Interview with Glen Jackson
As part of “The Future of Forensic Analysis” content series, Spectroscopy sat down with Glen P. Jackson of West Virginia University to talk about the historical development of mass spectrometry in forensic analysis.
Modernizing Fishmeal Processing: Cutting-Edge NIR Technology Enhances Quality Control
November 26th 2024Researchers from the University of Iceland and Matis Food and Biotech R&D in Reykjavík have unveiled an innovative study leveraging near-infrared (NIR) spectroscopy for real-time monitoring of fishmeal and oil processing. This advanced method promises to optimize product quality and streamline production, particularly in lipid composition and protein concentration—key markers for high-value fishmeal products.
The Future of Forensic Analysis: An Interview with Brooke Kammrath
As part of “The Future of Forensic Analysis” content series, Spectroscopy sat down with Brooke Kammrath of the University of New Haven to talk about the significance of spectroscopy in forensic analysis.
Analyzing Oxygen Vacancy Using X-Ray Photoelectron Spectroscopy
A new study published in the Journal of the European Ceramic Society introduces three XPS methodologies for accurately quantifying oxygen vacancies in metal oxides, challenging traditional misinterpretations and advancing material science research.
Regulatory Barriers: Unlocking Near-Infrared Spectroscopy’s Potential in Food Analysis
November 25th 2024Despite its widespread adoption in food quality analysis, near-infrared (NIR) spectroscopy lags behind in regulatory recognition. A study led by researchers from Italy and Spain highlights the disparity between its scientific applications and official methods, urging standardized regulations to fully leverage NIR's sustainability benefits.
Using Raman Spectroscopy and Surface-enhanced Raman Spectroscopy to Detect Cholesterol Disorders
Researchers have developed a highly sensitive method using Raman and surface-enhanced Raman spectroscopy (SERS) with gold nanoparticles to accurately quantify intracellular cholesterol.
Using NIR Spectroscopy in Low-Level Petroleum Hydrocarbon Detection
Researchers in China have developed a novel workflow for near-infrared reflectance spectroscopy (NIRS or NIR) that enhances the detection of low-level petroleum hydrocarbon pollution in soils, revealing new diagnostic features and significantly improving sensitivity for environmental monitoring.
Best of the Week: EAS Conference Coverage, IR Spectroscopy, Microplastics
Top articles published this week include highlights from the Eastern Analytical Symposium, a news article about the infrared (IR) spectroscopy market, and a couple of news articles recapping spectroscopic analysis of microplastics.