October 29th 2024
A team from Auburn University has developed an innovative ultrabroadband near-infrared (NIR) transient absorption (TA) spectrometer capable of detecting across a wide spectral range of 900–2350 nm in a single experiment. This advancement improves the study of ultrafast processes in low-bandgap materials and opens doors to new insights in photochemistry and charge dynamics.
Machine Learning Used for Meteorite Classification to Unlock Asteroid Composition Mysteries
September 24th 2024A team of researchers has developed a new machine learning (ML) method to classify asteroid spectra by analyzing meteorite spectroscopic data. Using logistic regression, the model accurately grouped meteorites into eight categories, helping to better understand the distribution of asteroid compositions in the asteroid belt. The study, published in Icarus, opens new avenues for predicting asteroid composition using spectroscopy.
OSIRIS-APEX: Unveiling the Secrets of Asteroid Apophis Flyby Post-Earth Encounter
September 23rd 2024NASA’s OSIRIS-REx spacecraft embarks on a new mission—OSIRIS-APEX—to study asteroid Apophis after its anticipated close flyby of Earth on Friday, April 13, 2029. Utilizing advanced spectroscopy and other instruments, the mission will provide unprecedented insights into how planetary encounters reshape small bodies in our solar system.
The Scene of the Crime: Using NIR and UV-Vis Spectroscopy in Bloodstain Dating
September 16th 2024A recent study explores the effectiveness of near-infrared (NIR) and ultraviolet-visible (UV-vis) spectroscopy in determining the time since deposition (TSD) of bloodstains, a critical aspect of forensic investigations. By comparing these two methods, researchers aim to improve the accuracy and reliability of bloodstain dating, with potential implications for real-world forensic applications.
A Decade of Progress: How fNIRS is Transforming Clinical Brain Imaging
September 10th 2024Functional near-infrared spectroscopy (fNIRS) has emerged as a vital tool in brain imaging over the past decade, offering noninvasive, real-time insights into brain function. A recent review study presents a comprehensive bibliometric analysis, revealing the global trends, research hotspots, and future potential of fNIRS in clinical applications, particularly in neurology, psychiatry, pediatric medicine, and sports science.
New Study Illuminates the Neural Synchrony in Close Relationships
September 10th 2024A recent study published in Neuroscience & Biobehavioral Reviews examined functional near-infrared spectroscopy (fNIRS) hyperscanning studies to learn more about how the interpersonal neural synchronization (INS) affects close relationships.
Using NIR and UV-Vis Spectroscopy in Bloodstain Dating
September 9th 2024A recent study explores the effectiveness of Near-infrared (NIR) and ultraviolet-visible (UV-vis) spectroscopy in determining the time since deposition (TSD) of bloodstains, a critical aspect of forensic investigations. By comparing these two methods, researchers aim to improve the accuracy and reliability of bloodstain dating, with potential implications for real-world forensic applications.
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.
A Review of the Latest Spectroscopic Research in Agriculture Analysis
September 4th 2024Spectroscopic analytical techniques are crucial for the analysis of agricultural products. This review emphasizes the latest advancements in several key spectroscopic methods, including atomic, vibrational, molecular, electronic, and X-ray techniques. The applications of these analytical methods in detecting important quality parameters, adulteration, insects and rodent infestation, ripening, and other essential applications are discussed.
AI-Powered Spectroscopy Faces Hurdles in Rapid Food Analysis
September 4th 2024A recent study reveals on the challenges and limitations of AI-driven spectroscopy methods for rapid food analysis. Despite the promise of these technologies, issues like small sample sizes, misuse of advanced modeling techniques, and validation problems hinder their effectiveness. The authors suggest guidelines for improving accuracy and reliability in both research and industrial settings.
Non-Linear Memory-Based Learning Advances Soil Property Prediction Using vis-NIR Spectral Data
September 3rd 2024Researchers from Zhejiang University have developed a new non-linear memory-based learning (N-MBL) model that enhances the prediction accuracy of soil properties using visible near-infrared (vis-NIR) spectroscopy. By comparing N-MBL with traditional machine learning and local modeling methods, the study reveals its superior performance, particularly in predicting soil organic matter and total nitrogen.
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.
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.
Handheld NIR Spectrophotometers: Transforming Forensic Analysis with Portable Technology
August 27th 2024A review highlights the transformative role of miniaturized near-infrared (NIR) spectrophotometers in forensic science, offering portable, cost-effective solutions for on-site analysis. These devices, while not without limitations, pave the way for more accessible and efficient forensic practices.
Real-Time Monitoring of Spike Protein Purification Using Raman and NIR Spectroscopy
August 26th 2024Researchers at Budapest University of Technology and Economics have developed a novel method for real-time monitoring of the protein purification process using Raman and near-infrared (NIR) spectroscopy. Their study compares the effectiveness of these two spectroscopic techniques in tracking the removal of imidazole, a process-related impurity, during the purification of the SARS-CoV-2 spike protein's receptor-binding domain (RBD).
ATR FT-IR and NIR Spectroscopy Reveal the Sources of Microplastics in Biosolids
August 20th 2024A recent study compared ATR FT-IR and NIR spectroscopy to identify microplastics in biosolids, finding significant correlations with consumer plastics like polyethylene and polypropylene. These results highlight the role of biosolids in introducing microplastics to agricultural soils and accentuate the importance of accurate identification methods.