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Electricity power in nature. Clean energy concept. Solar panel with turbine and tower hight voltage | Image Credit: © lovelyday12 - stock.adobe.com

Explore how spectroscopy enhances sustainability in energy, from solar panel durability to real-time gas monitoring and lithium-ion battery safety.

Satellite-based hyperspectral imaging of Earth's surface © ArpPSIqee -chronicles-stock.adobe.com

A new international review highlights how hyperspectral imaging (HSI) is revolutionizing diverse fields—from counterfeit detection and agriculture to cancer diagnostics—by capturing unprecedented spectral detail invisible to traditional cameras. The study identifies major advances, challenges, and the growing role of artificial intelligence in real-time HSI applications.

Deep sea blue illustration background realism. Dark deep and scary ocean banner. | Image Credit: © Konstantin Gerasimov - stock.adobe.com

Spectroscopy is playing a sizable role in expanding the capabilities of remotely operated and manned submersibles. A recently published nonfiction book highlights the advancements made in deep-sea exploration technology, and we discuss spectroscopy's role in all of this.

Satellite target image for HSI analysis © YouAreBeautiful -chronicles-stock.adobe.com

Researchers have developed a new method combining unmanned aerial vehicle (UAV) hyperspectral imaging with satellite data to monitor chlorophyll-a (Chla) and total nitrogen (TN) concentrations in coastal wetland waters. Their approach enhances the precision and scalability of water quality assessments, providing a model for managing eutrophication in fragile ecosystems.

Artist’s AI rendition of HSI calibration for field analysis © arozzmer-chronicles-stock.adobe.com

Researchers at the European Space Research and Technology Centre (ESTEC) have developed a new framework for onboard hyperspectral image processing that uses deep learning to analyze massive volumes of spectral data in real time. Their review highlights lightweight neural networks, generative models, and hardware accelerators as key technologies shaping the next generation of spaceborne Earth observation.

An analytical method was established for determining the contents of 17 impurity elements in aluminum nitride by inductively coupled plasma optical emission spectrometry. The experiment investigated a dissolution method for samples, working conditions of the instrument, analytical spectral lines, matrix interference and correction methods, and detection limits.

Unsolved Problems in Spectroscopy Series © MJHLIfeSciences

Here are ten main unsolved problems in vibrational and atomic spectroscopy, each accompanied by a tutorial-style synopsis suitable for advanced practitioners or graduate-level students. Each of these tutorials, spanning advanced spectroscopy modeling, chemometrics, machine learning (ML) interpretability, and standardization, consists of a descriptive article. Each piece is well-referenced (with detailed matrix equations, radiative transfer models, chemometric derivations, and so forth), and includes the following. • Special focus on each topic—including mathematical derivations in matrix notation. • Conservative, verifiable content anchored to established reference sources. • Appropriate tutorial article structure: Title, Summary, Abstract, Introduction, Theory with equations, Examples, Discussion & Future Research, and References.