Top articles this week on Spectroscopy covered topics such as Raman spectroscopy in noninvasive lung cancer detection, forensic analysis, and mass spectrometry in pharmaceutical analysis.
This week, Spectroscopy published a variety of articles on the hottest topics in analytical spectroscopy. These news articles cover various industries and a wide range of spectroscopic techniques. Below, we’ve highlighted some of the most popular articles, according to our readers and subscribers. Happy reading!
Light and AI Unite: Raman Breakthrough in Noninvasive Lung Cancer Detection
This article discusses the potential of Raman spectroscopy as a noninvasive diagnostic method for lung cancer, which is the leading cause of cancer-related deaths worldwide. Current diagnostic methods are often invasive, expensive, and time-consuming, leading to delays in treatment (1). The study from the University of Basque Country and IKERBASQUE explores the effectiveness of Raman spectroscopy by analyzing blood plasma samples from lung cancer patients and healthy individuals using various machine learning (ML) models (1).
Spectroscopy Announces Upcoming Content Series on Forensic Analysis
Spectroscopy techniques like Raman, ultraviolet visible (UV-vis), and infrared, are the backbone of forensic analysis. These techniques help scientists test everything from fibers at crime scenes to analyzing paint at the site of a car accident. In “The Future of Forensic Analysis,” presented by Spectroscopy, we’ll dive deep into the latest trends and challenges in spectroscopic forensic analysis, and how innovation in analytical science is improving law enforcement and investigative practices in the modern era. We will look at the current and ongoing research being conducted in the field, focusing on the spectroscopic techniques that are propelling forensic analysis forward (2).
Evolving Role of Mass Spectrometry in Pharmaceutical Analysis Highlighted in New Review
This article discusses the diverse applications of mass spectrometry (MS) throughout the drug development cycle, comparing its use in small molecule pharmaceuticals and biopharmaceuticals (3). The research team highlights that MS analysis is more crucial in the analysis of large-molecule drugs and biopharmaceuticals than in small molecule drugs (3). The review also examines advancements and future trends in the field, emphasizing the significant role MS plays in the development and analysis of biopharmaceuticals.
This article discusses a stable variable selection method based on variable stability correction (VSC) and modified iterative predictor weighting-partial least squares (mIPW-PLS) for the quantitative analysis of steel samples using laser-induced breakdown spectroscopy (LIBS). The method emphasizes stability as the criterion for variable selection, making it highly adaptable for analyzing different sample partitions within the steel data set (4). To validate the method, it was compared with the successive projections algorithm (SPA) and uninformative variable elimination (UVE) across nine sample partitions of various elements in steel (4). Experimental results demonstrated that the VSC-mIPW-PLS algorithm achieved reliable quantitative analysis accuracy for three elements (chromium, nickel, and manganese) across nine sample partitions, with root mean square errors of prediction (RMSEP) of no more than 5.1817 for chromium, 1.9759 for nickel, and 2.5848 for manganese (4). The study suggests that this method holds promise for applications in industrial and research settings using LIBS spectrometers.
Equipment Roundup: New Spectroscopy Instruments from SCIEX, ClearPoint Neuro
In this equipment roundup, we highlighted SCIEX’s multiple product launches, including the ZT Scan DIA for liquid chromatography–tandem mass spectrometry (LC–MS/MS) and the SCIEX 7500+ system. We also covered ClearPoint Neuro’s new full market release of its SmartFrame OR platform and the ClearPoint Prism Neuo Laser Therapy System (5).
(1) Workman, Jr., J. Light and AI Unite: Raman Breakthrough in Noninvasive Lung Cancer Detection. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/light-and-ai-unite-raman-breakthrough-in-noninvasive-lung-cancer-detection (accessed 2024-06-27).
(2) Wetzel, W. Spectroscopy Announces Upcoming Content Series on Forensic Analysis. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/spectroscopy-announces-upcoming-content-series-on-forensic-analysis (accessed 2024-06-27).
(3) Wetzel, W. Evolving Role of Mass Spectrometry in Pharmaceutical Analysis Highlighted in New Review. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/evolving-role-of-mass-spectrometry-in-pharmaceutical-analysis-highlighted-in-new-review (accessed 2024-06-27).
(4) Yan, Y.; Fu, X.; Huang, J.; et al. Stable Variable Selection Method and Comparison for Quantitative Analysis of Steels Using Laser-Induced Breakdown Spectroscopy. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/stable-variable-selection-method-and-comparison-for-quantitative-analysis-of-steels-using-laser-induced-breakdown-spectroscopy (accessed 2024-06-27).
(5) Chasse, J. Equipment Roundup: New Spectroscopy Instruments from SCIEX, ClearPoint Neuro. Spectroscopy. Available at: https://www.spectroscopyonline.com/view/equipment-roundup-new-spectroscopy-instruments-from-sciex-clearpoint-neuro (accessed 2024-06-27).
Portable and Wearable Spectrometers in Our Future
December 3rd 2024The following is a summary of selected articles published recently in Spectroscopy on the subject of handheld, portable, and wearable spectrometers representing a variety of analytical techniques and applications. Here we take a closer look at the ever shrinking world of spectroscopy devices and how they are used. As spectrometers progress from bulky lab instruments to compact, portable, and even wearable devices, the future of spectroscopy is transforming dramatically. These advancements enable real-time, on-site analysis across diverse industries, from healthcare to environmental monitoring. This summary article explores cutting-edge developments in miniaturized spectrometers and their expanding range of practical applications.
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.