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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.

Analysis of Deposition Patterns and Influencing Factors of Lithium and Transition Metals Deposited on Lithium Ion Battery Graphitic Anodes by LA-ICP-MS

A comprehensive understanding of aging phenomena and the resulting performance loss occurring in lithium-ion batteries (LIBs) is essential for ongoing improvement of the technology. The formation of a uniform solid electrolyte interphase (SEI) is of crucial importance for the performance, lifetime, and safety of LIBs. Transition metal dissolution (TMD), caused by degradation of the cathode, and subsequent TM deposition on the anode surface can deteriorate the protective properties of the SEI, possibly leading to reconstruction of the SEI and loss of active lithium. We explore this topic here.

Spectroscopic Investigation of Charge Transfer Interaction Between Five Antibiotics Depending on Density Functional Theory

In this study, the ground state structure and CT transition of the complex formed by the reaction of hydrogen peroxide (H2O2) with the five antibiotics (TMP, NOR, OFL, CIP, and SMR) were theoretically investigated by density functional theory (DFT).

Spectroscopic Investigation of Charge Transfer Interaction Between Five Antibiotics Depending on Density Functional Theory

In this study, the ground state structure and CT transition of the complex formed by the reaction of hydrogen peroxide (H2O2) with the five antibiotics (TMP, NOR, OFL, CIP, and SMR) were theoretically investigated by density functional theory (DFT).

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.

Ep. 40: Curiosity, Collaboration, and Open-Mindedness are the Keys

In this episode, podcast co-hosts Dr. Dwight Stoll and Dr. James Grinias talk with Professor Luis Colon about the influence his father had on his pursuit of science and his interest in materials development for chromatography.

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.

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.

Wavelet Denoising Algorithm Based on Improved Threshold Function for Methane Detection Using TDLAS

Discover how an improved wavelet denoising technique enhances methane detection accuracy in TDLAS systems, optimizing signal quality and reducing noise.

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.

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.

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.

Wavelet Denoising Algorithm Based on Improved Threshold Function for Methane Detection Using TDLAS

Discover how an improved wavelet denoising technique enhances methane detection accuracy in TDLAS systems, optimizing signal quality and reducing noise.

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.

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.

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

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.

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.

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.

Analysis of Deposition Patterns and Influencing Factors of Lithium and Transition Metals Deposited on Lithium Ion Battery Graphitic Anodes by LA-ICP-MS

A comprehensive understanding of aging phenomena and the resulting performance loss occurring in lithium-ion batteries (LIBs) is essential for ongoing improvement of the technology. The formation of a uniform solid electrolyte interphase (SEI) is of crucial importance for the performance, lifetime, and safety of LIBs. Transition metal dissolution (TMD), caused by degradation of the cathode, and subsequent TM deposition on the anode surface can deteriorate the protective properties of the SEI, possibly leading to reconstruction of the SEI and loss of active lithium. We explore this topic here.

Flower Classification Using LIBS Combined with PCA Chemometrics

In this study, laser-induced breakdown spectroscopy (LIBS) was applied in conjunction with principal component analysis (PCA) to identify and classify flower species.

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.

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

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.

Particle Size Analysis of Silicon Carbide

Silicon carbide’s hardness, strength, and thermal stability make it ideal for abrasives and armor. Particle size analysis ensures optimal performance and precision.

Best of the Week: Highlights from our November–December Issue

Top articles published this week include a farewell address from associate editorial director Caroline Hroncich, a new column on carbonyl compounds from Brian Smith, and an inside look at A-TEEM spectroscopy.