Near Infrared (NIR) Spectroscopy

UV-Vis-NIR can be used to understand how ancient buildings were constructed. Here, a UV-Vis-NIR and EDXRF spectrophotometer were used to analyze glazed tiles that comprised a historical site built in Ancient China.

Researchers have developed an intelligent detection method for quaternary blended oil using near-infrared spectroscopy (NIRS) technology.

Scientists have developed a rapid and accurate method for predicting cocoa shell content in cocoa powder using handheld and benchtop vis-NIR spectrometers combined with chemometric techniques.

Researchers have conducted a preliminary study on the potential use of near-infrared (NIR) and Raman spectroscopy for predicting ice cream mix viscosity. The study highlights the promising performance of NIR spectroscopy and serves as a starting point for further investigations into in situ application of these analytical tools in the ice cream manufacturing process.

Researchers have developed a near-infrared fluorescent probe that allows for highly sensitive detection of butyrylcholinesterase activity and pesticide residue in food samples. The probe offers a ratiometric pattern and shows promise for applications in health evaluation, disease diagnosis, and environmental monitoring.

Various chemometric approaches, including four discriminant models (ELM, TLBO–ELM, KELM, and TLBO–KELM), were used to detect shrimp freshness based on near-infrared hyperspectral imaging.

A research team has developed new photoswitchable cationic spiropyrans that exhibit near-infrared (NIR) fluorescence, opening up exciting possibilities for enhanced biomedical imaging applications. This breakthrough study highlights the potential of these compounds as valuable tools for advancing imaging technologies in the field of biomedicine.

A study utilizing hyperspectral data has revealed valuable insights into the spectral characteristics of typical ground objects. The research findings offer potential for enhanced wetland classification and demonstrate the efficacy of hyperspectral imaging in wetland research.

A research team has developed a rapid and cost-effective method for detecting multiple allergens in gluten-free flour using near-infrared spectroscopy and multivariate chemometric analysis.

A new study reports on the performance of a handheld Fourier transform near-infrared spectrometer for rapid and quantitative determination of total petroleum hydrocarbon content of soils.

This interview with Young Jong Lee highlights the work he and his team have done to reinvent solvent absorption compensation (SAC), and the potential it has across multiple forms of spectroscopy.

Researchers have developed a rapid and non-destructive method for evaluating the quality of Radix Paeoniae Alba and its processed products using near-infrared (NIR) spectroscopy combined with multivariate algorithms.

Chemometric modeling and near-infrared reflectance spectroscopy were successfully used to monitor the concentrations of eight elements in cultivated and fertilized Haplic Luvisol soils.

This study is an important contribution to the field of machine learning-enabled NIR spectroscopy, offering researchers a systematic method for selecting representative subsamples from existing data with quality measures, diagnostic tools, and visualization techniques.

A new method for detecting adulterated milk could lead to analyzing other food products more effectively.

The United States Pharmacopeia–National Formulary (USP–NF) has contributed to ensuring the quality of dietary supplements, foods, and medicines for more than 200 years. This overview explains the use of vibrational spectroscopy techniques in meeting USP–NF requirements and how the information is organized.

The accuracy of prediction models based on spectroscopic measurements can be influenced by a variety of factors, including aging equipment. Continuous monitoring is key to managing the PAT model lifecycle and ensuring that changes over time do not negatively affect prediction model performance.

In the past 20 years, spectrometers have shrunk dramatically in size, and this shrinking has been achieved with only modest performance reductions in sampling versatility, spectral range, spectral resolution, and signal-to-noise.

A PLS model was built with optimized wavelength variables generated by a competitive adaptive reweighted sampling (CARS) algorithm, enabling the use of handheld NIR spectroscopy to rapidly detect peroxide values in oil.

A novel approach to NIR spectral sensing, using a miniaturized fully-integrated multipixel array of resonant-cavity-enhanced InGaAs photodetectors, enables sensors with a millimeter-scale footprint and wafer-scale fabrication. This multipixel sensor does not measure the full spectrum, but rather a limited number of spectral regions with limited resolution (50–100 nm).

The possible energy transfer modes between Yb3+ and Tm3+ ions were analyzed.

Spectroscopy offers a range of available techniques that can be differentiated by the use or omission of reference spectra.

A model based on similarity regularized nonnegative matrix factorization (SRNMF) can be used in space exploration and national security applications to exploit the spatial information in an image of a space target.

In this second part of this four-part series on spectroscopy instrument components, we take a closer look at optical components or subassemblies used for vibrational spectroscopy instruments.

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).