Will Wetzel

A recent study combined Raman spectroscopy with chaos theory to improve the reliability of diagnosing several types of cancers.

A recent study examined using Fourier-transform infrared (FT-IR) spectroscopy and machine learning to identify compounds in nine Chinese beers.

A recent study from the Center for Research on Archaeometry and Conservation Science demonstrated the value of using μ-Raman spectroscopy to analyze ancient ceramics.

Researchers from the University of Amsterdam investigate the properties of urocanic acid using high-resolution laser spectroscopy combined with resonance enhanced multiphoton ionization to help develop safer sunscreen products.

A recent study introduced a new scanning X-ray fluorescence (MA-XRF) scanner that improves analysis of cultural heritage artifacts.

Top articles this week include how spectroscopy is being used in education, athletics, and biology.

A recent study examines using a new predictive model to accurately and efficiently identify evanescent trauma in skin tissue.

A recent study from the University of Guelph used nuclear magnetic resonance (NMR) spectroscopy to learn more about protein unfolding.

A recent study demonstrated how using laser spectroscopic techniques can help uncover new information about archaeological samples.

This study explores the development of spectroscopic instruments and how spectroscopy can be taught in the classroom.

A recent study from the Yunnan Academy of Agricultural Sciences in China explored how five vibrational spectroscopic techniques are used to combat food adulteration.

In honor of the Paris 2024 Summer Olympics, the editors of Spectroscopy highlighted the impact of spectroscopy in athletic competitions by discussing a few recent studies in this space.

A study from Vanderbilt University used nano Fourier-transform infrared (FT-IR) spectroscopy to study central African wooden sculptures and learn more about material composition.

A recent research collaboration from China demonstrates the advantages of using hyperspectral imaging to analyze nutritional components in pet food.

This article explores how NASA’s Mars Perseverance Rover is using spectroscopic techniques to learn more about the Red Planet’s surface.

Top articles this week include another SciX interview with, using Raman imaging to measure the impact of glucose on cancer cells, and diagnosing brain disorders.

A recent study used visible-near-infrared spectroscopy (vis-NIR) to improve quantification of white blood cells.

A recent research collaboration with scientists from Virginia examined using Raman spectroscopy in veterinary medicine to help detect cancer in dogs using urinary screening tests.

In a recent study from China University of Mining and Technology, researchers introduced a new fusion model using Raman spectroscopy technology to ensure the authenticity of dairy products.

A recent study uses nuclear magnetic resonance (NMR), tandem mass spectrometry (MS/MS), and infrared spectroscopy (IR), to measure molecular complexity.

A recent study looked at addressing the challenges of laser power settings in Raman instruments to improve them for conducting analysis on Mars.

Top articles this week on Spectroscopy covered topics such as infrared (IR) spectroscopy, lithium metal batteries, and artificial intelligence.

In this article, the editors of Spectroscopy highlight the use of Fourier transform infrared (FT-IR) in several key industries that use spectroscopic techniques.

A recent study published in Analyst examined how Raman spectroscopy can be used for detecting microplastics in environmental samples.

A recent study examined how Fourier transform infrared spectroscopy (FT-IR) to explore alterations in fermented corn–soybean meal feed.

A recent study conducted in Faisalabad, Pakistan, evaluated the presence of heavy metals in their drinking water using atomic absorption spectroscopy (AAS) and optical emission spectroscopy (AES).

An exploration of the battery industry is presented here, with future outlooks described.

A recent study from Carbon highlights the application of Raman spectroscopy in investigating disorder levels in graphite materials.

Here, we spotlight a few recent studies that explored the integration of artificial intelligence (AI) with spectroscopic techniques.

A recent study demonstrated how near-infrared (NIR) spectroscopy can predict adulteration in apricot kernels with high accuracy.