Authors

Laser Induced Breakdown Spectroscopy Combined with a Tuned Back Propagation Algorithm for Oil Crop Straw Combustion Smoke Detection and Traceability

In this paper, a system based on laser induced breakdown spectroscopy (LIBS) and back propagation (BP) method was developed for the composition and traceability analysis of crop burning smoke.

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.

Benefits of ICP-MS for the Elemental Compositional Analysis of Lithium-Ion Battery Electrolytes

This month’s column investigates the elemental composition of electrolytes in lithium-ion batteries (LIBs) using inductively coupled plasma–mass spectrometry (ICP-MS).

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

Determination of 17 Impurity Elements in Aluminum Nitride by Inductively Coupled Plasma Optical Emission Spectrometry with Microwave Digestion

An analytical method was established for determining the contents of 17 impurity elements in aluminum nitride by inductively coupled plasma optical emission spectrometry. The experiment investigated a dissolution method for samples, working conditions of the instrument, analytical spectral lines, matrix interference and correction methods, and detection limits.

Gold Nanorod-Based Surface-Enhanced Raman Spectroscopy for the Rapid and Selective Detection of Aconitine in Various Complex Matrices

In this study, surface-enhanced Raman spectroscopy (SERS) and solvent extraction were used to detect aconitine (AC) in various complex matrices using gold nanorod substrates. The experimental results demonstrated that ether efficiently extracted AC from soy sauce as an example complex matrix.

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.

Research on Hardness Detection Method of Polyvinyl Chloride Cable Sheath Material Based on Laser-Induced Breakdown Spectroscopy

Surface hardness is one of the most important parameters which describes the degree of aging in polyvinyl chloride (PVC) cables. In this work, the hardness of PVC sheathing material was studied using laser-induced breakdown spectroscopy (LIBS).

Research on Hardness Detection Method of Polyvinyl Chloride Cable Sheath Material Based on Laser-Induced Breakdown Spectroscopy

Surface hardness is one of the most important parameters which describes the degree of aging in polyvinyl chloride (PVC) cables. In this work, the hardness of PVC sheathing material was studied using laser-induced breakdown spectroscopy (LIBS).

Tracking Lanthanide Dissolution Into Organic Media

In the second and final part of our interview with Rob Lascola, he addresses the main challenges in achieving accurate acidity measurements using Raman spectroscopy in complex, highly absorptive systems, as well as explains what he has learned about dissolution mechanisms, and how these insights can influence future nuclear processing strategies.

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.

Spectral Urine Analysis for Non-invasive Diagnostics

Discover how spectral urine analysis enables fast, non-invasive diagnostics using Hamamatsu Photonics spectrometers for Raman, FTIR, VIS/NIR, and fluorescence spectrometry.

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.

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.

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.

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.

Identifying Nontoxic Gunshot Residue Using LIBS and Machine Learning

A recent study demonstrated that combining laser-induced breakdown spectroscopy (LIBS) with machine learning (ML) can accurately identify gunshot residue from nontoxic ammunition and reliably distinguish shooters from non-shooters despite the absence of traditional elemental markers.

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

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.

Magnetic Particles Show Promise Against Antimicrobial-Resistant Biofilms

Research presented at Pittcon 2025 demonstrated new tactics using chemometrics and spectroscopy that could help combat antibiotic resistance.