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How Light Interaction Reveals the Secrets of Our Universe
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The Treatment of Water Leads to Microplastics in Bottled Water
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The 'Jumbo Shrimp' Problem in Microfluidics
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We Separate Cancer Cells By Physics, Not Antibodies
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We Separate Cancer Cells By Physics, Not Antibodies
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Universal Sensors Are Like Radios Without Tuning Knobs!
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Universal Sensors Are Like Radios Without Tuning Knobs!
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A Beginner’s Guide to Spectroscopy in Energy Applications

An Overview for New Spectroscopists

A Beginner’s Guide to Spectroscopy in Energy Applications

Recent Research in Chemometrics and AI for Spectroscopy, Part I

Foundations, Definitions, and the Integration of AI in Chemometric Analysis

Recent Research in Chemometrics and AI for Spectroscopy, Part I

Testing a New Deep Learning Model for Petroleum Analysis

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Testing a New Deep Learning Model for Petroleum Analysis

Microplastics Widespread on Catalan Beaches, Study Finds

Read About This Study Here!

Microplastics Widespread on Catalan Beaches, Study Finds

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

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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 matter at every scale.

2025 Technology Trends in Artificial Intelligence for Spectroscopy © nuddss -chronicles-stock.adobe.com

Artificial intelligence is transforming vibrational spectroscopy by automating calibration, feature extraction, and interpretation across Raman, infrared, near-infrared (NIR), and hyperspectral imaging (HSI) systems. This review of articles highlighted in Spectroscopy during 2025 captures several major developments, spanning data fusion, spectral imaging, and industrial and biomedical applications.