Near Infrared (NIR) Spectroscopy

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.

This review explores the latest advancements in near-infrared (NIR) imaging technology, detailing its diverse applications such as tracking solvent diffusion in polymers, portable analysis systems in pharmaceuticals, high-speed polymer monitoring, and NIR imaging for fish embryo development research.

At the 2023 Gulf Coast Conference, Spectroscopy spoke with Elena Hagemann of Metrohm USA, about spectroscopy in relation to petrochemicals. This interview was one of four conducted live at GCC 2023.

In a recent study, the contents of ciprofloxacin and metronidazole tablets were quantified using a handheld near-infrared (NIR) spectrophotometers.

A team of researchers is using near-infrared spectroscopy (NIR) coupled with partial least squares (PLS) to analyze the e-liquid components of e-cigarettes.

The James Webb Space Telescope's near-infrared spectrograph (NIRISS) has introduced the single object slitless spectroscopy (SOSS) mode, enhancing our ability to study exoplanet atmospheres with high resolving power. This innovation holds great promise for advancing our understanding of distant worlds and their compositions.

A group of scientists from the University of Wrocław and the University of Innsbruck studied the relationships between aliphatic ketones and water molecules in various environments.

The method of analysis described by these researchers had the advantages of being in-line and in real time, compared to more traditional approaches such as high performance liquid chromatography (HPLC).

In this interview, Peter Griffiths, 2023 recipient of the Ellis R. Lippincott Award, reflects over his storied career, as well as his most recent work, which focuses on measuring fine airborne particles within mining environments.

In this interview, James Chapman discusses his current and future research efforts, and how combining spectroscopy with machine learning tools can change how bacterial research is conducted.