Near Infrared (NIR) Spectroscopy

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.

On Tuesday February 27, a Pittcon oral session, titled “Novel Spectroscopic Techniques,” took place at the San Diego Convention Center in San Diego, California. This session featured three talks that covers spectroscopic applications across various fields.

A recent study shows how near-infrared (NIR) and mid-IR spectroscopy was used to identify emission lines of argon and sulfur near the center where the inner parts of the exploded star originally were.

The results in this study indicate that NIR spectroscopy is a potentially promising approach for the rapid identification of different harvest times of Cabernet Sauvignon grapes, and the proposed technique is helpful for the prediction of ripened and over-ripened Cabernet Sauvignon grapes during the harvest time.

Researchers in Brazil leverage artificial intelligence algorithms and Vis-NIR-SWIR hyperspectroscopy to achieve precise pigment phenotyping and classification of eleven lettuce varieties, showcasing the potential of integrating advanced technologies in agriculture.

Using visible and near-infrared (Vis/NIR) hyperspectral imaging (HSI), scientists were able to determine macro- and micronutrient contents rapidly and non-destructively in persimmon leaves.

Triethylaminium picrate (TEAP) crystals were developed using a slow evaporation solution growth method and then characterized for their feasibility in optoelectronic and other uses.

Spectroscopy plays a critical role in both macroscopic and microscopic plastics detection, which is the first step in remediation, and also in the commercial replacement of plastics with biodegradable materials. This piece provides tangible examples of efforts being made today, including details on spectral hardware implementation, but more importantly provides proposals to the reader on how they can make a meaningful difference in their own world.

In November, Spectroscopy announced the acquisition of Spectroscopy Europe and Spectroscopy World, two leading publications in the spectroscopy space. We remember Ian Michael, the long-time publisher of both magazines, for the contributions he made to the industry.

A group of Brazilian scientists tested a new means of testing for COVID-19 using a combination of Vis-NIR spectroscopy and machine learning algorithms.

A recent study shows how near infrared (NIR) spectroscopy and X-ray fluorescence (XRF) spectroscopy was integrated to create a new coal calorific value analyzer.

Felipe Bachion de Santana of Teagasc in Wexford, Ireland, is exploring new ways to monitor soil quality through using spectroscopic techniques. Spectroscopy spoke to him about his team’s work in monitoring the quality of soil to improve agricultural efficiency.

A novel intelligent inversion model integrating multiscale fractal analysis, PCA, and machine learning techniques (RF and SVM) was devised to accurately estimate soil organic matter (SOM) using hyperspectral data.