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UV–FT-IR Studies on α-Lactalbumin-Infused Nickel Hydroxide Nanoparticles

This study synthesized and characterized α-lactalbumin-infused nickel hydroxide nanoparticles, demonstrating successful incorporation of the protein into the nanoparticle structure and highlighting their potential for future biomedical and other advanced applications.

Rapid Analysis of Logging Wellhead Gases Based on Fourier Transform Infrared Spectroscopy

Fourier transform infrared (FT-IR) spectroscopy was used in this paper to rapidly analyze seven light alkanes (methane, ethane, propane, n-butane, i-butane, n-pentane, and i-pentane) in wellhead gases.

How Deep Low-Frequency Raman Could Detect Breast Microcalcifications

Mammograms can find breast microcalcifications but can’t tell whether they are likely benign or malignant.

Imaging Solutions for Sustainable Agriculture (Mar 2026)

Hamamatsu’s imaging solutions assist agri-food tech meet increasing demand and sustainability goals through non-invasive, real-time quality and safety inspection.

Submicron IR Detects and Localizes Microplastics in Biological Samples

This paper demonstrates the use of optical photothermal infrared (O-PTIR) spectroscopy for the detection, identification, and localization of microplastics in tissue samples.

Classical Least Squares and Clutter Suppression

A technical white paper deriving the classical least squares (CLS) and weighted least squares (WLS) models and showing how generalized least squares (GLS) and extended least squares (ELS) extend CLS to provide clutter suppression for characterized interference signals in spectroscopic and hyperspectral measurements.

Rapid Analysis of Logging Wellhead Gases Based on Fourier Transform Infrared Spectroscopy

Fourier transform infrared (FT-IR) spectroscopy was used in this paper to rapidly analyze seven light alkanes (methane, ethane, propane, n-butane, i-butane, n-pentane, and i-pentane) in wellhead gases.

Research on Coal Classification Method Based on Terahertz Time-Domain Spectroscopy

A proposed solution is a coal species classification method that combines terahertz time-domain spectroscopy with machine learning - specifically, principal component analysis (PCA) and cluster analysis (CA). By using terahertz (THz) time-domain spectroscopy (TDS), the absorption coefficient, dielectric constant, and refractive index of each sample were obtained from lignite, bituminous coal, and anthracite samples.

Near-Infrared Spectroscopy with Data Analysis Model for Rapid Identification of Huanglongbing in Gannan Navel Orange

Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified Huanglongbing-infected Gannan navel orange leaves with an overall accuracy of 98.75%, outperforming LDA, KNN, and SVM models.

Near-Infrared Spectroscopy with Data Analysis Model for Rapid Identification of Huanglongbing in Gannan Navel Orange

Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified Huanglongbing-infected Gannan navel orange leaves with an overall accuracy of 98.75%, outperforming LDA, KNN, and SVM models.

Evaluation and Development Trends of Optical Detection Technology for Seed Vigor

In this article, the basic principles, advantages, and limitations of different optical techniques for obtaining seed vigor estimates are introduced and reviewed, and the key technology of non-destructive optical detection of single seeds will be discussed.

Improving Plasmonic Catalysis

In this interview segment, Prashant Jain, who is a G. L. Clark Professor of Physical Chemistry at the University of Illinois Urbana-Champaign (UIUC), discusses the implications of his study’s findings, highlighting how they advance our understanding of light-driven hydrocarbon formation pathways and plasmonic catalytic events.

Expansion of a Greener Method of Sex Determination from Hair Using Electrothermal Vaporization Coupled to Inductively Coupled Plasma–Optical Emission Spectrometry

This peer-reviewed proof-of-concept study demonstrates that electrothermal vaporization inductively coupled plasma optical emission spectrometry combined with multivariate analysis can accurately classify the sex of individuals from both dyed and undyed hair samples, highlighting its potential as a green, forensic tool for human sex determination.

Gemstone Identification Through Molecular Spectroscopy and Spectral Imaging: A Non-Invasive Method for Authenticating Turquoise

This paper aims to identify gemstones using various spectroscopic methods, including Raman spectroscopy and spectrophotometry, as well as spectral imaging techniques like hyperspectral and multi-band imaging.

Research on Coal Classification Method Based on Terahertz Time-Domain Spectroscopy

A proposed solution is a coal species classification method that combines terahertz time-domain spectroscopy with machine learning - specifically, principal component analysis (PCA) and cluster analysis (CA). By using terahertz (THz) time-domain spectroscopy (TDS), the absorption coefficient, dielectric constant, and refractive index of each sample were obtained from lignite, bituminous coal, and anthracite samples.

Improving EPR Spectrometers for Field Deployment

Can electron paramagnetic resonance (EPR) spectrometers be used in beer production? The answer may surprise you.

Submicron IR Detects and Localizes Microplastics in Biological Samples

This paper demonstrates the use of optical photothermal infrared (O-PTIR) spectroscopy for the detection, identification, and localization of microplastics in tissue samples.

Gemstone Identification Through Molecular Spectroscopy and Spectral Imaging: A Non-Invasive Method for Authenticating Turquoise

This paper aims to identify gemstones using various spectroscopic methods, including Raman spectroscopy and spectrophotometry, as well as spectral imaging techniques like hyperspectral and multi-band imaging.

Evaluation and Development Trends of Optical Detection Technology for Seed Vigor

In this article, the basic principles, advantages, and limitations of different optical techniques for obtaining seed vigor estimates are introduced and reviewed, and the key technology of non-destructive optical detection of single seeds will be discussed.

Recognition of Process Degree for Gardeniae Fructus Praeparatus Based on Hyperspectral Data and Neural Network

In this study, a hyperspectral (400–1000 nm) system was utilized to acquire hyperspectral images of gardeniae fructus (GF) and construct a data set containing 3146 spectral data.

Using Handheld Raman Spectroscopy for In-Field Plant Monitoring

Spectroscopy sat down with Renee Romano, a graduate student at The Ohio State University, to discuss the broader implications of her findings, including how they demonstrate the potential of Raman spectroscopy for in situ, real-time monitoring of plant–microbe interactions without destructive sampling.

Quantifying the Vibrational Stark Effect

In this exclusive interview, Nishadi Nadeeshani Moragoda Liyanage, a graduate student at The Ohio State University, outlines how the results of her study help advance our understanding of plasmon-induced electron transfer and its applications in nanoscale optoelectronic and catalytic systems.

Evaluation and Development Trends of Optical Detection Technology for Seed Vigor

In this article, the basic principles, advantages, and limitations of different optical techniques for obtaining seed vigor estimates are introduced and reviewed, and the key technology of non-destructive optical detection of single seeds will be discussed.

Why Big Data Is Transforming Environmental Nanoparticle Analysis

A recent conversation with Kevin Wilkinson, a professor of environmental chemistry at the Université de Montréal, sheds light on why no single signature can separate engineered nanoparticles from natural ones.

Experimental Investigation of the Self-Absorption Effect in Laser-Induced Breakdown Spectroscopy Based on Fiber Laser Ablation

From Raman Labels to the Clinic

In a SciX interview, Marc Porter covered a lot of ground, from a student-driven pivot into immunoassays to a baseball analogy for Stokes and anti-Stokes scattering, and shares the open questions he is still chasing.

Unlocking High-Dimensional Insights in LA-ICP-TOF-MS Imaging

A recent study provides a detailed introduction to uniform manifold approximation and projection (UMAP) for analyzing LA-ICP-TOF-MS data. By converting high-dimensional MSI data into two-dimensional spaces, UMAP facilitates automated visualization to identify spectral clusters. Spectroscopy spoke to the paper’s lead author, Katharina Kronenberg of the University of Graz, about her group’s work.

Accurate and Precise Quantification of Arsenic and Selenium in Water and Biological Samples Through the Removal of Doubly Charged Rare Earth Element Interferences by ICP-MS

This month’s column evaluates the capability of inductively coupled plasma–mass spectrometry (ICP-MS) to reduce the impact of doubly charged rare-earth element (REE) interferences on the quantitation of the metalloids, arsenic (As), and selenium (Se) in water and biological matrices.

In-situ Detection of Rice Using Laser Induced Breakdown Spectroscopy and Machine Learning

This research investigates the application of laser-induced breakdown spectroscopy (LIBS) and machine learning (ML) for detecting elemental composition of food, using rice as an example.