Authors


He Zhu

Latest:

Prediction of the Harvest Time of Cabernet Sauvignon Grapes Using Near-Infrared Spectroscopy

The results in this study indicate that NIR spectroscopy is a potentially promising approach for the rapid identification of different harvest times of Cabernet Sauvignon grapes, and the proposed technique is helpful for the prediction of ripened and over-ripened Cabernet Sauvignon grapes during the harvest time.


Song Qin

Latest:

Time-resolved Fluorescence Spectroscopy Study of Energy Transfer Dynamics in Phycobilisome of Thermophilic Cyanobacterium Thermosynechococcus vulcanus NIES 2134

Time-resolved fluorescence spectroscopy reveals much about the structure-induced energy transfer mechanisms of phycobilisomes, the light-harvesting antenna in cyanobacteria.


Donald A. Tomalia

Latest:

Terahertz Spectral Characterization of Plasma Spray–Deposited Nickel Film on an Alumina Cylinder

Plasma spray–deposited metal films are used in many industrial applications. This study shows how high resolution terahertz time-domain spectroscopy (THz-TDS) can be used to analyze and characterize such films.


Rui Chen

Latest:

Solid Physical State Transformation in Hot Melt Extrusion Revealed by Inline Near-Infrared (NIR) Spectroscopy and Offline Terahertz (THz) Raman Imaging

Inline FT-NIR and offline terahertz Raman imaging analysis are used to characterize active pharmaceutical ingredient (API) crystallinity and to monitor different solid physical states of the API, to control process parameters of hot melt extrusion.


Cecil Dybowski, PhD

Latest:

The 59th Eastern Analytical Symposium Offers a Virtual Experience in 2020

This year’s EAS offers sessions live November 16–19 and on-demand until December 31.


Óscar Millet

Latest:

Research Using NMR Uncovers New Biomarkers of Metabolic Syndrome

This article highlights the use of nuclear magnetic resonance (NMR) spectroscopy to characterize biomarkers of metabolic syndrome at different stages of progression.


Yong Hao

Latest:

Rapid Identification of Wood Species Based on Portable Near-Infrared Spectrometry and Chemometrics Methods

Classification and identification of different wood species are demonstrated using a portable near-infrared spectrometer, combined with four spectral pretreatment methods and three pattern recognition methods. Additional chemometric tools were used for comprehensive evaluation of classification model accuracy and complexity.


Ying Huang

Latest:

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.



Zhen Xu

Latest:

Detection of the Early Fungal Infection of Citrus by Fourier Transform Near-Infrared Spectra

We examine the feasibility of FT-NIR for the detection of early fungal infections in citrus.


Zhu Mingdong

Latest:

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.


Paul Gattinger

Latest:

In situ Raman Spectroscopy Monitors the Corrosion of Mild Steel in a Salt Fog Chamber

In this study, in situ Raman spectroscopy was used to detect the formation, growth, and evolution of corrosion inside a salt fog chamber. These results pave the way for monitoring the real-time observation of corrosion on metal surfaces.


Rene P. J. van Veldhoven

Latest:

Spectral Sensing Using a Handheld NIR Module Based on a Fully Integrated Sensor Chip

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).


Jose M. Costa-Fernandez

Latest:

Nanoparticle-Assisted Analytical Strategies: Pushing the Limits of ICP-MS for Ultrasensitive Detection of Clinical Biomarkers

In celebration of Spectroscopy’s 35th Anniversary, leading experts discuss important issues and challenges in analytical spectroscopy.


Hua Fan

Latest:

Study on Estimating Total Nitrogen Content in Sugar Beet Leaves Under Drip Irrigation Based on Vis-NIR Hyperspectral Data and Chlorophyll Content

The relationship between leaf nitrogen content (LNC) and hyperspectral remote sensing imagery (HYP) was determined to construct an estimation model of the LNC of drip-irrigated sugar beets, to enable real-time monitoring of sugar beet growth and nitrogen management in arid areas.


Lim Lee Ying

Latest:

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.


Zhaozong Meng

Latest:

Specific Recognition Technology of Infrared Absorption Spectra Based on Continuous Wavelet Decomposition

IR absorption spectroscopy technology can solve the problem of line aliasing in gas detection. Here, continuous wavelet transform was used in time-frequency analysis to improve spectral component identification and quantitative detection of gases.


Gabriela Schimo-Aichhorn

Latest:

In situ Raman Spectroscopy Monitors the Corrosion of Mild Steel in a Salt Fog Chamber

In this study, in situ Raman spectroscopy was used to detect the formation, growth, and evolution of corrosion inside a salt fog chamber. These results pave the way for monitoring the real-time observation of corrosion on metal surfaces.


Philipp Hönicke

Latest:

Polychromatic and Microfocused X-ray Radiation for Traceable Quantitative X-ray Fluorescence Analysis

In X-ray fluorescence (XRF) analysis, physical traceability chains are used to quantify the absolute elemental content in a sample. The physical traceability chain relies on absolute knowledge of the X-ray spectral distribution used for the excitation of the instrument and is currently used at synchrotron radiation facilities. Here, we discuss the transfer of the physical traceability chain to laboratory-based X-ray sources, which are often polychromatic, with the view to generate wider application of quantitative XRF analysis.


Liu He

Latest:

Lignocellulose Determination and Categorization Analysis for Biofuel Pellets Based on FT-IR Spectra

FT-IR offers an alternative method for the quantification and classification of lignocellulose in biofuel pellets, based on determination of cellulose, hemicellulose, and lignin content. The IR spectroscopic evaluation presented here provides an understanding of the pretreatment and storage of biofuel pellets.


Nicholas Hazel

Latest:

Solution-Based Glow Discharges for Atomic Emission Spectroscopy Come of Age

The SCGD ambient-atmosphere microplasma has emerged as an alternate excitation source for atomic emission spectroscopy that is able to perform admirably compared to established, conventional approaches—with lower cost.


Benjamin Southwell

Latest:

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.


Siegrun Mohring

Latest:

Monitoring for Per- and Poly-Fluoroalkyl (PFAS) with Advanced Mass Spectrometry– Based Methods

Per- and poly-fluoroalkyl substances (PFAS) are a family of potentially thousands of synthetic compounds that have long been used in the manufacture of a variety of common products with stain-repellent and nonstick properties. Their signature strong fluorine and carbon bonds make them difficult to break down and, as a result, they are among the most persistent of today’s environmental pollutants. Alarmingly, PFAS can be found in drinking water and have been shown to accumulate in the body with the potential to cause multiple health problems, such as hormone disruption and cancer. Advances in mass spectrometry have facilitated the detection of known PFAS contaminants as well as the identification of poorly studied and novel compounds in watersheds. This article explores the detection of known and novel PFAS contaminants in aqueous film-forming foams and raw drinking water sources in North Carolina, using new advances in mass spectrometry and data acquisition to improve identification and quantitation.


Dylan T. White

Latest:

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.


Liang Zhao

Latest:

Insights Toward Standardization of the Analysis of Microplastics by Infrared Microscopy

Here we conduct an evaluation of significant operational parameters of IR microscopy for accurately determining the size of microplastics, with the overarching goal of outlining performance parameters that will help in the standardization of microplastics analysis.


Francesco Pagliano

Latest:

Spectral Sensing Using a Handheld NIR Module Based on a Fully Integrated Sensor Chip

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).


Yichuan Fang

Latest:

Optical Properties of the Suwannee River Fulvic Acid Complexation with Thorium Using 3D Fluorescence Spectroscopy

The relationship between the complexation amount of thorium (Th) and Suwannee River fulvic acid (SRFA) and the changes in Th concentration and pH were studied using differential spectroscopy and 3D excitation-emission matrix fluorescence spectroscopy (3D EEM).


Ruoyu Zhai

Latest:

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.


Yuqing Huang

Latest:

Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic Resonance

A review of exponential signal models with machine learning in nuclear magnetic resonance (NMR) spectroscopy is discussed here.


Yiwen Ge

Latest:

A Raman Spectral Area Scanning Method to Identify the Sequences of Crossed Writings and Seal Stamps

Determining the printing sequences of crossed writings and seal stamps is often difficult because the most common methods used are expensive, time-consuming, and cumbersome. A new method using Raman spectral area scanning offers a better alternative while conducting pigment analysis and determining intersection sequences of writings and seal stamps. We explain why.