Near Infrared (NIR) Spectroscopy

A comprehensive study of small near-Earth objects (NEOs) using spectroscopy reveals composition, source regions, and rotational properties. The research identifies S-complex asteroids as the most abundant and introduces a new subclass within this complex, yielding detailed information on the characteristics and origins of these celestial bodies.

Forensic scientists have made significant strides in bloodstain identification, leveraging advanced hyperspectral imaging and machine learning to distinguish between human and animal bloodstains with remarkable accuracy.

Researchers from Vanderbilt University and Stanford University School of Medicine have developed a low-cost, wearable functional near-infrared spectroscopy (fNIRS) headband. This device, described as the first open-source, wireless fNIRS headband system, enables neuroimaging in naturalistic settings, making brain monitoring more accessible and versatile.

A recent study investigated the viability of employing Fourier-transform near infrared spectroscopy (FT-NIR) to assess the saponin compounds content of P. notoginseng.

A recent study analyzes the level of adulteration of cricket powder in plant flours using vibrational spectroscopy techniques.

Spectroscopic analytical techniques are crucial for the analysis of environmental samples. 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 contaminants and other environmental applications are thoroughly discussed.

Advances in wearable, high-density functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) technologies are paving the way for real-world neuroscience applications, enabling high-resolution imaging of the human cortex in various environments. This new technology promises significant improvements in understanding brain function during naturalistic activities.

Detecting Fusarium head blight (FHB) in wheat kernels and flour is important in ensuring food safety in the agriculture industry. Here, we recap a recent study that uses non-destructive spectroscopic techniques and machine learning algorithms to detect FHB.

A recent study from Agroscope examined using visible and near-infrared spectroscopy to assess soil fertility.

A team of researchers from RIKEN and The University of Tokyo have developed flexible near-infrared organic photodetectors (OPDs) with significant implications for wearable technology. These devices promise enhanced non-invasive biosensing and bio-imaging capabilities, paving the way for more responsive and intelligent wearable applications.

A recent study shows how near-infrared spectroscopy can be used to analyze total nitrogen and total phosphorus levels in dairy slurry.

Researchers from the University of Saarland in Germany investigated the reliability and side differences in muscle oxygen saturation (SmO2) measurements using a wearable near-infrared monitor on trained cyclists. The study found that the device shows good reliability but highlighted significant side differences, which must be considered in practical applications.

This week, Spectroscopy magazine published stories about how mid-infrared spectroscopy is being used to study gas giants in our solar system and malaria vectors, among others.

A recent study from the Children’s National Health System and George Washington University explored how near-infrared (NIR) spectroscopy can be used to improve epilepsy detection in patients with mitochondrial disorders.

A century of mid-infrared observations has significantly advanced our understanding of the atmospheres of the giant planets in our solar system. A researcher from the University of Leicester in the United Kingdom and Universidad Adolfo Ibáñez in Chile has reviewed the developments in this field and the potential of the James Webb Space Telescope (JWST) to further enhance our knowledge of these planets.

A recent study out of Alexandria University examines how near-infrared (NIR) spectroscopy has been combatting the illegal spice trade.

Researchers from Tsinghua University and Beihang University in Beijing have developed a deep-learning-based data processing framework that significantly improves the accuracy of dual-comb absorption spectroscopy (DCAS) in gas quantification analysis. By using a U-net model for etalon removal and a modified U-net combined with traditional methods for baseline extraction, their framework achieves high-fidelity absorbance spectra, even in challenging conditions with complex baselines and etalon effects.

Researchers in China have developed a cutting-edge machine learning approach that can detect chylous blood in blood intended for transfusion with more than 90% accuracy. This development promises to significantly reduce the risks associated with blood transfusions and improve the efficiency of blood donation centers.

A recent study analyzed the mid-infrared (mid-IR) and visible near-infrared (VNIR) spectra of primitive Main Belt asteroids.

Researchers from Kyoto University and Japan's National Institute of Advanced Industrial Science and Technology have developed innovative probes to monitor the chemical composition of biodegradable polymer blends during injection molding. This breakthrough could lead to improved production efficiency and reduced waste in the polymer industry.

Metrohm considers NIR spectroscopy to be fast, easy to use, non-destructive, and chemical-free, and has developed a new addition to its platform for the analysis of liquid, solid, or a combination of samples in a short time.

In a recent study out of China, Liyi Zhou and her fellow scientists created a nanoprodrug system to help treat liver cancer.

A recent study examined how near-infrared (NIR) spectroscopy was used to ensure peach kernel quality.

Scientists from Zhenjiang, China recently tested different analysis methods of using portable near-infrared (NIR) spectroscopy to detect Bombyx mori nuclear polyhedrosis virus within silkworms.

Here are the top five articles that the editors of Spectroscopy published this week.

Near infrared (NIR) spectroscopy is a spectroscopic technique used in various industries. Here, we explain its importance in the pharmaceutical, agriculture, and food and beverage analysis industries.

A recent study examined the nutritional parameters in cookies using Fourier transform near-infrared spectroscopy (FT-NIR).

Brazilian scientists recently discussed and showed findings that show near-infrared (NIR) spectroscopy as a potentially effective technique for detecting ecstasy.

Scientists from East China Jiaotong University recently tested different sample selection methods using near-infrared (NIR) spectral information entropy as a similarity criterion.