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spectroscopyonline.com > view > spectroscopy-and-sustainability-a-perfect-match-and-a-perfect-match-at-pittcon-2026

Spectroscopy and Sustainability: A Perfect Match, and a Perfect Match at Pittcon 2026

Spectroscopy and Sustainability: A Perfect Match, and a Perfect Match at Pittcon 202611+ hour, 42+ min ago   (301+ words) Pittcon 2026 will take place March 911, 2026, in San Antonio, Texas, building on the 2025 conference's emphasis on eco-friendly practices and serving as the premier global event in analytical research, scientific instrumentation, and applied spectroscopy. An opening plenary session, "Spectroscopy and Sustainability: A…...

Spectroscopy Online
spectroscopyonline.com > view > previewing-a-talk-on-glow-discharge-optical-emission-spectroscopy

Previewing a Talk on Glow Discharge Optical Emission Spectroscopy

Previewing a Talk on Glow Discharge Optical Emission Spectroscopy1+ week, 13+ hour ago   (392+ words) Previewing a Talk on Glow Discharge Optical Emission Spectroscopy'Spectroscopy Online At the upcoming Winter Conference on Plasma Spectrochemistry, taking place from January 917th, Gerardo Gamez, professor of chemistry and biochemistry and Graduate Advisor at Texas Tech University, is set to deliver…...

Spectroscopy Online
spectroscopyonline.com > view > deep-learning-meets-spectroscopy-to-transform-plastic-recycling-accuracy

Deep Learning Meets Spectroscopy to Transform Plastic Recycling Accuracy

Deep Learning Meets Spectroscopy to Transform Plastic Recycling Accuracy1+ week, 1+ day ago   (582+ words) Deep Learning Meets Spectroscopy to Transform Plastic Recycling Accuracy'Spectroscopy Online A recent study published in the journal Resources, Conservation and Recycling discusses how the convergence of spectroscopy and advanced machine learning (ML) could dramatically improve the efficiency and accuracy of plastic…...

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spectroscopyonline.com > view > behind-the-science-conversations-with-spectroscopy-innovators

Behind the Science: Conversations with Spectroscopy Innovators

Behind the Science: Conversations with Spectroscopy Innovators2+ week, 1+ day ago   (733+ words) A recap of a few interviews Spectroscopy editors have conducted with key opinion leaders at the forefront of technique innovation in 2025. These experts share their views on technological breakthroughs, analytical challenges, and the trends poised to redefine how we interrogate…...

Spectroscopy Online
spectroscopyonline.com > view > ai-developments-that-changed-vibrational-spectroscopy-in-2025

AI Developments That Changed Vibrational Spectroscopy in 2025

AI Developments That Changed Vibrational Spectroscopy in 20252+ week, 5+ day ago   (313+ words) Raman spectroscopy and AI are used for microplastics detection. Micro- and nanoplastics persist through global waterways, food systems, and waste streams (7,15). Agriculture and Soil Chemistry: Precision Spectroscopy at Field Scale Cancer Immunotherapy Guided by Raman and AI Expanded Meaning of…...

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spectroscopyonline.com > view > how-will-spectroscopy-benefit-from-data-driven-approaches

How Will Spectroscopy Benefit From Data-Driven Approaches?

How Will Spectroscopy Benefit From Data-Driven Approaches?3+ week, 2+ day ago   (623+ words) In this Spectroscopy blog post, Yang Liu, a Scientific Liaison for General Chapters at the United States Pharmacopeia (USP), discusses how data-driven methodologies are set to transform spectroscopy in 2026 and beyond, particularly in pharmaceutical analysis. The U. S. Pharmacopeia (USP) is a…...

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spectroscopyonline.com > view > recent-research-in-chemometrics-and-ai-for-spectroscopy-part-ii-emerging-applications-explainable-ai-and-future-trends

Recent Research in Chemometrics and AI for Spectroscopy, Part II: Emerging Applications, Explainable AI, and Future Trends

Recent Research in Chemometrics and AI for Spectroscopy, Part II: Emerging Applications, Explainable AI, and Future Trends2+ mon, 1+ week ago   (476+ words) This second part of the Recent Research in Chemometrics and AI for Spectroscopy article surveys current and emerging applications of artificial intelligence (AI) in spectroscopy, highlighting explainable AI (XAI), deep learning, and generative AI frameworks. Generative AI and Spectrum Synthesis…...

spectroscopyonline.com
spectroscopyonline.com > view > recent-research-in-chemometrics-and-ai-for-spectroscopy-part-i-foundations-definitions-and-the-integration-of-artificial-intelligence-in-chemometric-analysis

Recent Research in Chemometrics and AI for Spectroscopy, Part I: Foundations, Definitions, and the Integration of Artificial Intelligence in Chemometric Analysis

Recent Research in Chemometrics and AI for Spectroscopy, Part I: Foundations, Definitions, and the Integration of Artificial Intelligence in Chemometric Analysis2+ mon, 1+ week ago   (585+ words) This first article in a two-part series introduces the foundations and terminology of AI as applied to chemometrics, defines key algorithmic approaches, and explores their growing role in spectral data analysis, model quantitative calibration, classification, and interpretability. The following definitions…...

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spectroscopyonline.com > view > humans-and-machines-unite-using-symbiotic-ai-to-transform-polymer-chemistry-and-spectroscopy

Humans and Machines Unite Using Symbiotic AI to Transform Polymer Chemistry and Spectroscopy

Humans and Machines Unite Using Symbiotic AI to Transform Polymer Chemistry and Spectroscopy2+ mon, 4+ week ago   (326+ words) A new perspective from researchers at the Karlsruhe Institute of Technology explores the evolving relationship between human expertise and artificial intelligence in polymer chemistry. From Alchemy to Automation: A Century of Polymer Progress The study argues that the future of…...

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spectroscopyonline.com > view > smarter-spectroscopy-with-a-new-machine-learning-approach-to-estimate-prediction-uncertainty

Smarter Spectroscopy With a New Machine Learning Approach to Estimate Prediction Uncertainty

Smarter Spectroscopy With a New Machine Learning Approach to Estimate Prediction Uncertainty4+ mon, 2+ week ago   (320+ words) A new study demonstrates how a machine learning technique, quantile regression forest, can provide both accurate predictions and sample-specific uncertainty estimates from infrared spectroscopic data. The work was applied to soil and agricultural samples, highlighting its value for chemometric modeling....