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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.

Unlocking ICP-MS Accuracy and Productivity with Microwave Digestion

This article discusses pre-analytical best practices, recent innovations in MW design, and other productivity tools to consider throughout the workflow, explaining how these factors collectively enhance analytical accuracy and data integrity.

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.

Physicochemical Analysis and Detection of Rice Syrup Adulteration in Kelulut Honey Using Portable Near-Infrared Spectroscopy

This study aimed to assess and detect adulteration of Kelulut honey with different percentages of rice syrup using near-infrared (NIR) spectroscopy.

What Does the Future Hold for High-Precision Metal Isotope Analysis?

In the below video segment, we shifted our focus to the future, with Anika Retzmann of the University of Calgary giving her thoughts about what emerging applications will benefit the most from high-precision metal isotope analysis of biological systems.

Particle Correlated Raman Spectroscopy (PCRS): A Workflow for Correlating Particle Morphology with Chemical Identification

Particle-correlated Raman spectroscopy (PCRS) combines automated optical imaging and Raman analysis to link particle morphology with chemical identity, enabling high-throughput, reproducible characterization of diverse particulate samples, as demonstrated in pharmaceutical nasal spray analysis

Determination of Electrolytes in Sports Drinks by Microwave Plasma Atomic Emission Spectroscopy (MP-AES)

Discover a cost-effective method for analyzing electrolyte elements in sports drinks using microwave plasma atomic emission spectroscopy, enhancing quality control and accuracy.

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.

How Spectroscopists Can Differentiate Themselves from the Competition

A competitive job market requires candidates to differentiate themselves in order to secure employment. Hear from experts in the field about the skills spectroscopists need to have to succeed in this ever-changing job market.

How to Improve SERS for Wider Adoption in Complex Environments

In this segment, Bell addresses the key barriers that are preventing SERS from being more widely adopted in complex environments.

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.

Applications of Micro X-Ray Fluorescence Spectroscopy in Food and Agricultural Products

In recent years, advances in X-ray optics and detectors have enabled the commercialization of laboratory μXRF spectrometers with spot sizes of ~3 to 30 μm that are suitable for routine imaging of element localization, which was previously only available with scanning electron microscopy (SEM-EDS). This new technique opens a variety of new μXRF applications in the food and agricultural sciences, which have the potential to provide researchers with valuable data that can enhance food safety, improve product consistency, and refine our understanding of the mechanisms of elemental uptake and homeostasis in agricultural crops. This month’s column takes a more detailed look at some of those application areas.

One-Step Green Synthesis of Functionalized Carbon Dots from Five Edible Mushrooms

This work shows the great potential of mushrooms as excellent raw materials in the development of multifunctional fluorescence carbon materials.

MidIR Testing Reveals Supply Chain Mismanagement

This article shows the benefits and ease with which mid-infrared testing can reveal supply change mismanagement events and help to quickly identify and correct mishaps.

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

Exploitation of Fiber Laser Induced Breakdown Spectroscopy on the Quantitative Analysis of Aluminum Alloys

A study using fiber laser induced breakdown spectroscopy (FL-LIBS) to evaluate how pulse width and repetition rate affect the quantitative analysis of elements in aluminum alloys, reporting improved detection sensitivity and limit of detection at high repetition rate.

Measuring Microplastics in Remote and Pristine Environments

Aleksandra "Sasha" Karapetrova and Win Cowger discuss their research using µ-FTIR spectroscopy and Open Specy software to investigate microplastic deposits in remote snow areas, shedding light on the long-range transport of microplastics.

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).

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.

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.

Studying Astrochemistry and Nanomaterials

This dynamic video explores some of the latest advancements in molecular spectroscopy.

One-Step Green Synthesis of Functionalized Carbon Dots from Five Edible Mushrooms

This work shows the great potential of mushrooms as excellent raw materials in the development of multifunctional fluorescence carbon materials.

Exploitation of Fiber Laser Induced Breakdown Spectroscopy on the Quantitative Analysis of Aluminum Alloys

A study using fiber laser induced breakdown spectroscopy (FL-LIBS) to evaluate how pulse width and repetition rate affect the quantitative analysis of elements in aluminum alloys, reporting improved detection sensitivity and limit of detection at high repetition rate.

Authenticity Identification of Panax notoginseng by Terahertz Spectroscopy Combined with LS-SVM

In this article, it is explored whether THz-TDS combined with LS-SVM can be used to effectively identify the authenticity of Panax notoginseng, a traditional Chinese medicine.

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.

Authenticity Identification of Panax notoginseng by Terahertz Spectroscopy Combined with LS-SVM

In this article, it is explored whether THz-TDS combined with LS-SVM can be used to effectively identify the authenticity of Panax notoginseng, a traditional Chinese medicine.

CNN-Enhanced Hybrid Spectral Comparison Using HQI in a Learned Feature Space

A proof-of-concept study combines a convolutional neural network feature extractor with the conventional hit quality index (HQI) to improve Raman spectral comparison, reducing spurious similarity and improving discrimination between closely related protein and antibody spectra.

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.

Exploitation of Fiber Laser Induced Breakdown Spectroscopy on the Quantitative Analysis of Aluminum Alloys

A study using fiber laser induced breakdown spectroscopy (FL-LIBS) to evaluate how pulse width and repetition rate affect the quantitative analysis of elements in aluminum alloys, reporting improved detection sensitivity and limit of detection at high repetition rate.