
Earlier this month, ABB and Hydrosat announced an expansion of their partnership by launching the second infrared (IR) camera that will go aboard Hydrosat’s VanZyl-2 satellite, which is scheduled for summer 2025.

Will Wetzel is a Senior Editor for Spectroscopy magazine. He specializes in creating engaging, high-value content for diverse audiences. His role involves driving digital growth through KPI assessments, social media strategies, and innovative content development.
Wetzel is also a sports writer and commentator, serving as a freelance writer for several sports websites, including FanSided. He currently serves as the host, producer, and creator of “The Inside Fastball,” a LinkedIn newsletter that discusses topical issues in Major League Baseball (MLB). Outside of work, Wetzel volunteers with the Nashville Humane Association and Habitat for Humanity. His stated goal is to help build one house with Habitat for Humanity in every U.S. state.

Earlier this month, ABB and Hydrosat announced an expansion of their partnership by launching the second infrared (IR) camera that will go aboard Hydrosat’s VanZyl-2 satellite, which is scheduled for summer 2025.


A new study published in the journal Food Chemistry by lead authors Qian Zhao and Jun Huang from Zhejiang University of Science and Technology unveil a new data-driven framework for predicting resistant starch content in rice

We sat down with top researchers in analytical spectroscopy to discuss their work, insights, and the paths that brought them here.

A recent study developed new photoacoustic probes to better visualize oxidative stress during acute liver injury.

In this edition of “Inside the Laboratory,” Brett McGuire of the Massachusetts Institute of Technology (MIT) discusses his laboratory’s work in astrochemistry.

In the lead-up to the International Symposium on Molecular Spectroscopy conference, Brett McGuire of the Massachusetts Institute of Technology sat down with Spectroscopy to preview the ISMS conference.

Researchers at Wittenborg University of Applied Sciences have developed a non-destructive method using hyperspectral imaging combined with chemometrics and machine learning to accurately predict fat and protein content in diverse cheese types.

Top articles published this week include a tribute to Alan G. Marshall, an interview series that highlights how inductively coupled plasma–optical emission spectroscopy (ICP-OES) can help analyze metal content in pet food, and an announcement from Rigaku about their latest handheld Raman instruments.

Researchers from the Institute of Agrifood Research and Technology (IRTA) in Catalunya, Spain used fluorescence and Raman spectroscopy to explore complex tissue changes behind wooden breast myopathy in chickens.

Because the United Arab Emirates is seeing an increase in pet ownership, the quality of both dry and wet pet food is undergoing greater scrutiny to ensure its safety and efficacy. Lucy Semerjian, who works as a Chair and Associate Professor in the Department of Environmental Health Science at the University of Sharjah in Sharjah, United Arab Emirates, recently explored this topic in a recent paper.

A recent study conducted in the Journal of Food Composition and Analysis examined the concentrations of ten metals in 52 commercially available wet and dry cat food samples, assessing their compliance with U.S. and European pet food safety standards. The lead author of this study, Lucy Semerjian, recently sat down with Spectroscopy to discuss the findings of her study.

In an announcement on June 12, Rigaku Analytical Devices, which is a division of Rigaku Holdings Corporation headquartered in Akishima, Tokyo, announced the launch of its Icon series of 1064-nm Raman analyzers, its fourth-generation of the instrument.

Researchers from Ca’ Foscari University of Venice and the University of Padua have uncovered the earliest direct evidence of Upper Palaeolithic humans deliberately processing the non-edible plant Isatis tinctoria, revealing complex behaviors involving medicinal or dye-related plant use over 32,000 years ago.

A Texas A&M AgriLife Research study published in Rangelands found that region-specific calibration significantly improves the accuracy of FNIRS-based nutritional monitoring for beef cattle grazing the Edwards Plateau.

Top articles published this week include an interview about aromatic–metal interactions, a tutorial article about the recent advancements in tip-enhanced Raman spectroscopy (TERS), and a news article about using shortwave and near-infrared (SWIR/NIR) spectral imaging in cultural heritage applications.

A new study demonstrates how handheld near-infrared spectroscopy can be a powerful, accurate tool to distinguish real cashmere from wool.

Researchers from Hebei University and Hebei University of Engineering have developed a hyperspectral imaging method combined with data fusion and machine learning to accurately and non-destructively assess walnut quality and classify storage periods.

A new study demonstrates that paper bagging significantly enhances Fuji apple quality and appearance. Hyperspectral imaging combined with machine learning offers a powerful, non-destructive method for evaluating fruit grown under different cultivation conditions.

In a recent study published in the journal Beverages, a team of researchers from the National Institute for Research and Development of Isotopic and Molecular Technologies and Babeș-Bolyai University explored a new way to improve wine authentication

A recent study published in the journal Food Chemistry explored Brazil’s cachaça industry, focusing on a new analytical method that can confirm the geographic origin of cachaças from the Brejo Paraibano region in Brazil.

A new study highlights how chemometrics-powered spectroscopic techniques offer a fast, non-destructive, and cost-effective method for detecting phenolics and vitamins in foods.

Researchers in China propose novel postharvest processing mode using vis-NIR spectroscopy and deep learning to accurately measure pomelo sweetness.

Researchers from Jinan University and Guangzhou Customs Technology Center have developed a cost-effective UV-vis spectroscopy and machine learning method to accurately identify recycled PET content as low as 10%, advancing sustainable packaging and circular economy efforts.

Top articles published this week include an interview with 2025 Clara Craver Award recipient Prashant Jain, an Icons of Spectroscopy column on Bruce R. Kowalski, and an interview with Pooja Sheevam about quantifying mineral basalts in the Hawaiian PTA-2 drill core.

In the final part of this video interview with Pooja Sheevam, she discusses the importance of her study in understanding the mineralogical and geochemical processes in Hawaii.

Researchers from Tianjin Agricultural University, Nankai University, and Zhejiang A&F University have developed a highly accurate method using near-infrared spectroscopy and machine learning to rapidly detect and classify microplastics in chicken feed.

Explore advancements in infrared spectroscopy and insights from Brian Smith, a key columnist, on the future of this evolving field.


In Part IV of our conversation with Pooja Sheevam, she discusses how scanning electron microscopy with an energy-dispersive X-ray spectroscopy (SEM-EDS) and bulk X-ray fluorescence (XRF) were used to better understand fluid-rock interactions.