Best of the Week: Hyperspectral Imaging, ICP-MS Analysis of Geological Samples, Product Roundup
Top articles published this week include an article about hyperspectral imaging in human skin research, a peer-reviewed article about analyzing geological samples using atomic spectroscopy techniques, and an equipment roundup piece about the latest products in the industry.
Geographical Traceability of Millet by Mid-Infrared Spectroscopy and Feature Extraction
October 18th 2024The study developed an effective mid-infrared spectroscopic identification model, combining principal component analysis (PCA) and support vector machine (SVM), to accurately determine the geographical origin of five types of millet with a recognition accuracy of up to 99.2% for the training set and 98.3% for the prediction set.
Analyzing Mercury Isotopes: A SciX Interview with Frank Vanhaecke, Part 2
In this preview to the upcoming SciX 2024 conference next week, Spectroscopy sat down with Frank Vanhaecke to discuss about his educational background and what he is looking forward to about the upcoming conference.
Unlocking the Power of Hyperspectral Imaging: A Game-Changer for Agriculture, Medicine, and More
October 15th 2024Hyperspectral imaging (HSI) is revolutionizing fields such as agriculture, food safety, and medical analysis by providing high-resolution spectral data. This emerging technology is proving invaluable in diverse applications, including plant stress detection, weed discrimination, and flood management. A new review explores HSI’s fundamental principles, applications, and future research directions.
Simultaneous Determination of 50 Elements in Geological Samples by ICP-MS Combined with ICP-OES
October 15th 2024A method combining inductively coupled plasma–mass spectrometry (ICP-MS) with inductively coupled plasma–optical emission spectrometry (ICP-OES) was developed for multielement determination of 50 species of major, minor, micro, and trace, rare earth, and rare elements in geological samples.
New Hyperspectral Imaging Database Enhances Human Skin Research
October 14th 2024Researchers from the University of Minho (Portugal) have developed a hyperspectral imaging database of human facial skin, aimed at improving various scientific applications such as psychophysics-based research and material modeling. The database includes 29 participants with diverse skin tones, providing detailed spectral reflectance data under controlled conditions.