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1 week ago | 
dental.einnews.com | Will Wetzel
Image Credit: © tsuguliev - stock.adobe.comAt Fetch Nashville, Heidi Lobprise, DVM, DAVDC, delivered a presentation titled, “They are NOT too old for dental procedures (usually).” Lobprise’s talk focused on treating older pets with periodontal disease, discussing the tailored pain management and anesthesia protocols that veterinarians should undertake to reduce treatment risks for older animals.
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1 week ago | 
spectroscopyonline.com | Will Wetzel
This week, Spectroscopy published articles highlighting recent studies in several application areas in analytical spectroscopy, including astronomy, geology and mineralogy, and food analysis. Key techniques highlighted in these articles include longwave infrared (LWIR) spectroscopy, shortwave IR spectroscopy (SWIR), Raman spectroscopy, and inductively coupled plasma–optical emission spectroscopy (ICP-OES).
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1 week ago | 
spectroscopyonline.com | Will Wetzel
Prior to joining the New Mexico Bureau of Geology and Mineral Resources as a research associate, Pooja Sheevam was a PhD Candidate at the University of Nevada, Reno, where she worked with infrared (IR) spectroscopy and its applications to study the mineralogy of the Hawaiian drill core (1,2).
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1 week ago | 
spectroscopyonline.com | Will Wetzel
Hawaii’s geology and climate diversity make it a valuable site for subsurface mineralogical studies. LWIR, SWIR, SEM-EDS, and XRF techniques revealed mineral phases and alteration effects in the PTA-2 drill core. Researcher Pooja Sheevam used spectroscopy to explore Hawaii’s mineralogy and fluid-rock interactions during her PhD work. The state of Hawaii, because of its volcanic activity and diverse topography, has interested geologists for decades.
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1 week ago | 
spectroscopyonline.com | Will Wetzel
Hawaii’s geology and climate diversity make it a valuable site for subsurface mineralogical studies. LWIR, SWIR, SEM-EDS, and XRF techniques revealed mineral phases and alteration effects in the PTA-2 drill core. Researcher Pooja Sheevam used spectroscopy to explore Hawaii’s mineralogy and fluid-rock interactions during her PhD work.
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1 week ago | 
spectroscopyonline.com | Will Wetzel
Recently, a team of researchers studied and quantified the presence of microplastics (MPs) in the deep-sea sediments of the Central Indian Ocean Basin (CIOB). The research team, which was led by Dineshram Ramadoss from the CSIR-National Institute of Oceanography (NIO) in Goa, India, demonstrated that at depths of 5000 meters, the CIOB contains a significant presence of MPs in one of Earth’s most remote marine environments (1).
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1 week ago | 
spectroscopyonline.com | Will Wetzel
Researchers developed a miniaturized NIR spectroscopy method with machine learning to rapidly and accurately assess yak milk powder quality without chemical reagents. The random forest model showed the highest accuracy in predicting protein, fat, moisture, and acidity levels across diverse yak milk powder samples. This fast, sustainable approach enables real-time quality monitoring, supporting automation and reducing environmental impact in dairy production.
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1 week ago | 
spectroscopyonline.com | Will Wetzel
Researchers analyzed 52 cat food samples in Sharjah, UAE, using ICP-OES to assess heavy metal content and compliance with global safety standards. About 30% of tested cat foods, especially dry types, exceeded permissible metal limits, with elevated levels of aluminum, cobalt, copper, iron, and zinc. Meat-based formulations had consistently higher metal concentrations than chicken or fish-based ones.
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1 week ago | 
spectroscopyonline.com | Will Wetzel
Researchers from Tohoku University and partners developed a hybrid system combining near-infrared and terahertz spectroscopy with machine learning to improve plastic recycling accuracy. The system accurately identified difficult plastics like transparent PET and black PS using optimized frequencies and XGBoost algorithms tuned via Bayesian methods.
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1 week ago | 
spectroscopyonline.com | Will Wetzel
Researchers developed a fast, accurate method using Raman spectroscopy and deep learning to assess antioxidant levels in maple syrup without chemical reagents. The new technique enables on-site quality testing, with portable spectrometers performing nearly as well as benchtop models. The method supports sustainable food analysis and may lead to improved labeling and inspection practices, pending further validation.
