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Best of the Week: AI, Rapid Food Analysis, Agriculture Analysis, and Soil Property Prediction
September 6th 2024Top articles published this week include a review article on the latest research in agriculture analysis, a peer-reviewed article on near-infrared (NIR) spectroscopy, and an interview about using fluorescence spectroscopy in cheese ripening.
Examining the Role of ATR-FT-IR Spectroscopy and Machine Learning in Wood Forensics, Part 2
September 4th 2024In part two of our exploration of wood forensics, a deep dive of a recent study from Panjab University explains why attenuated total reflectance Fourier transform infrared (ATR-FT-IR) spectroscopy improves on traditional methods in this space.
Examining the Role of ATR-FT-IR Spectroscopy and Machine Learning in Wood Forensics, Part 1
September 4th 2024Wood forensics is an important field that helps authenticate wood and addresses the challenges that illegal logging brings. In this multipart article, we explore the wood forensics industry, and how spectroscopic techniques are contributing to its advancement.
Examining the Cheese Ripening Process with Mid-Infrared and Synchronous Fluorescence Spectroscopy
September 3rd 2024A joint French-Canadian study examined the ripening process of commercially popular Comté and cheddar cheeses, which are widely consumed in those countries, utilizing mid-infrared (mid-IR) and synchronous fluorescence spectroscopy (SFS) in their analysis.
Measuring Muscle Oxidation in Athletes with Near-Infrared Spectroscopy
September 2nd 2024A recent article authored by scientists from the Institute of Sport and Preventive Medicine, part of the University of Saarland (Saarbrücken, Germany), discusses their investigation of the absolute and relative test-retest reliability of the Moxy Monitor, as well as their investigations into side differences of oxygen saturation at the vastus lateralis muscle of both legs in male cyclists.
Best of the Week: SMASH Conference, Forensics, Paprika and Chicken, Protein Purification
August 30th 2024Top articles published this week include an article on the upcoming SMASH 2024 Conference, a report on handheld near-infrared (NIR) spectrophotometers, and an inside look at the paprika and poultry industries.
Deep Learning Paves the Way for More Accurate Fruit Quality Evaluation
August 29th 2024Researchers from the University of Minnesota and Nanjing Agricultural University have highlighted the potential of deep learning to significantly improve the accuracy and robustness of fruit quality assessments using visible-near-infrared spectroscopy.
Protein Prediction in Native Chickens Using Near-Infrared Spectroscopy, Part 2
August 28th 2024In the second part of this article, we dive into the methodology conducted by researchers from Yunnan Agricultural University in China that successfully used near-infrared (NIR) to analyze the protein content in chickens.
New Microfluidic Optical Cavities Compatible with NMR Spectroscopy
August 26th 2024Researchers at the University of Strasbourg have developed NMR-compatible microfluidic optical cavities for vibrational strong coupling (VSC), enabling new insights into molecular behavior under VSC and advancing the field of polaritonic chemistry.
Best of the Week: Hyperspectral Imaging, Spaceborne Biomarkers, FT-IR Microscopy
August 23rd 2024Top articles published this week include an article on classifying space debris, a report on a new fiber-dispersive Raman spectrometer, and an examination of Fourier transform infrared (FT-IR) microscopy.
New Method for Rapid SERS Detection of Pesticides in Agricultural Products Unveiled
August 22nd 2024A recent study led by Xaolin Cao at Yantai University demonstrated a rapid and highly sensitive method using magnetic molecularly imprinted polymers combined with surface-enhanced Raman spectroscopy (MMIPs-SERS) for detecting neonicotinoid pesticides in agricultural products.
New Insights in Asphalt Research Using FT-IR Spectroscopy
August 22nd 2024A recent study highlights the critical role of Fourier transform infrared spectroscopy (FT-IR) in the qualitative and quantitative analysis of asphalt materials, focusing on its applications in quality control, material identification, and the analysis of modification and aging mechanisms.