Near Infrared (NIR) Spectroscopy

Portable NIR spectroscopy, combined with discrimination analysis (PLS-DA), can be used to rapidly and accurately identify five very similar wood species of the Cinnamomum genus.

We propose a theoretical basis using vis-NIR spectroscopy for the development of an online nondestructive testing system for the quality of Nanguo pear fruit.

Our annual review of new products for atomic and molecular spectroscopy, including details by category and highlights of overarching trends.

Controlling methane is one of the highest-impact ways to reduce climate impacts, so its accurate measurement is essential. Spectroscopy offers valuable tools for this task.

High-performance instrumentation requires many critical components. We focus here on energy sources, lasers, and detectors.

Raw data produced by an NIR instrument undergoes some sort of processing, or transformation, to make them easier to use. In this series, we explore options for that data transformation, starting with multiple linear regression (MLR).

This study provides theoretical and technical support for implementing online detection of cement raw meal components using near-infrared (NIR) spectroscopy.

This issue is a compilation of five peer-reviewed articles on the combined application of UV-vis-NIR spectral data with advanced chemometrics.

Classification and identification of different wood species are demonstrated using a portable near-infrared spectrometer, combined with four spectral pretreatment methods and three pattern recognition methods. Additional chemometric tools were used for comprehensive evaluation of classification model accuracy and complexity.

Given that grape seed oil has shown beneficial effects for consumers, there is a interest in measuring oil quality and potential adulteration. This study demonstrates an effective near-infrared (NIR) spectroscopy method, using a series of machine learning approaches for wavelength variable selection, to rapidly discriminate grape seed oil adulteration.

Spectral reflectance is a non-destructive method that is applicable to remote sensing and may be used to measure the chlorophyll content in a crop, which indicates the photosynthetic capacity, growth cycles, and degrees of stress (such as disease, insect infestation, and heavy metal stress) on plant ecosystems. This vis-NIR spectral reflectance method measures leaf chlorophyll using a wavelet analysis algorithm approach.

Depletion of modern mineral resources due to continuous exploitation and utilization makes it economically necessary to quickly identify the locate sources of low-grade ore. Here, we propose a vis-NIR remote sensing method to determine copper content in mining areas as well as to measure the environmental impact of surface mining methods.

Ozaki was presented with the award at the ICNIRS conference, which was held online this year in Beijing.

This article covers a portion of the analytical equipment and techniques used in the production of beer across the supply chain.

Inline FT-NIR and offline terahertz Raman imaging analysis are used to characterize active pharmaceutical ingredient (API) crystallinity and to monitor different solid physical states of the API, to control process parameters of hot melt extrusion.

Traditional qualitative analysis of agricultural materials using near-infrared spectroscopy can be improved using information-based classification methods, such as projection based on principal components and the Fisher criterion (PPF).

A frequency comb is a laser source, with evenly spaced narrow lines, potentially useful for spectroscopy applications, particularly as a source or for alignment of the wavelength axis.

Plasma spray–deposited metal films are used in many industrial applications. This study shows how high resolution terahertz time-domain spectroscopy (THz-TDS) can be used to analyze and characterize such films.

A rapid vis-NIR spectroscopy method for determining soil particle size and quality.

In celebration of Spectroscopy’s 35th Anniversary, leading experts discuss important issues and challenges in analytical spectroscopy.

In celebration of Spectroscopy’s 35th Anniversary, leading experts discuss important issues and challenges in analytical spectroscopy.

An important class of nanoparticles made of “upconversion” materials has found a central role in sensing. These nanoparticles are used to convert longer-wavelength photons into shorter-wavelength fluorescence to detect temperature, pH, gas molecules, ions, and trace biomolecules.

Our annual review of products introduced at Pittcon or during the previous year, broken down by the following categories: accessories, atomic spectroscopy, components, imaging, mass spectrometry, mid-IR, NIR, NMR, Raman, software, UV-vis, and X-ray.

Near-infrared (NIR) spectroscopy offers quick analysis with no sample preparation for many fields, but it is particularly popular for process monitoring, materials science, and medical uses. NIR has also seen applications in agriculture from the very start of the technique, but new instrument capabilities are poised to offer even more to that field. Benoît Igne, a principal scientist at GlaxoSmithKline in King of Prussia, Pennsylvania, recently spoke to us about his work using NIR and areas where he thinks the technique has growth potential, specifically process analytical technology and agriculture.

In honor of Spectroscopy's celebration of 30 years covering the latest developments in materials analysis, we asked a panel of experts to assess the current state of the art of near-infrared (NIR) spectroscopy and try to predict how the technology will develop in the future.

This article provides a basic overview of the capabilities of transmission gratings optimized for molecular spectroscopy.

Simulated leaf spectral data were generated to analyze scattering impact and then compared to experimental data to validate the conclusions of the simulation.

Part II of this series described many of the miniature optical technologies that were developed as a result of the telecommunications boom, and Part III covered conventional small near-infrared (NIR) spectrometers. Here, in Part IV, we bring those themes together and see how the massive investment in telecommunications, microelectro- mechanical systems (MEMS), and micro-opto-electro-mechanical (MOEMS) is starting to impact NIR spectroscopy.

Canadian researchers at the Bloorview Research Institute (Toronto, ON, Canada) and the University of Toronto have developed a way to use optical imaging to decode preference by measuring the intensity of near-infrared light absorbed in brain tissue.

Using a powerful new image-processing technique, researchers at the University of Toronto (Ontario, Canada) have identified an exoplanet in images taken in 1998 with the Hubble Space Telescope's Near-Infrared Camera and Multi-Object Spectrometer (NICMOS).