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Research Using NMR Uncovers New Biomarkers of Metabolic SyndromeThis article highlights the use of nuclear magnetic resonance (NMR) spectroscopy to characterize biomarkers of metabolic syndrome at different stages of progression.
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Rapid Identification of Wood Species Based on Portable Near-Infrared Spectrometry and Chemometrics MethodsClassification 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.
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Recognition of Process Degree for Gardeniae Fructus Praeparatus Based on Hyperspectral Data and Neural NetworkIn 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.
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Detection of the Early Fungal Infection of Citrus by Fourier Transform Near-Infrared SpectraWe examine the feasibility of FT-NIR for the detection of early fungal infections in citrus.
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Evaluation and Development Trends of Optical Detection Technology for Seed VigorIn 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.
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In situ Raman Spectroscopy Monitors the Corrosion of Mild Steel in a Salt Fog ChamberIn 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.
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Spectral Sensing Using a Handheld NIR Module Based on a Fully Integrated Sensor ChipA 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).
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Nanoparticle-Assisted Analytical Strategies: Pushing the Limits of ICP-MS for Ultrasensitive Detection of Clinical BiomarkersIn celebration of Spectroscopy’s 35th Anniversary, leading experts discuss important issues and challenges in analytical spectroscopy.
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Study on Estimating Total Nitrogen Content in Sugar Beet Leaves Under Drip Irrigation Based on Vis-NIR Hyperspectral Data and Chlorophyll ContentThe 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.
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Physicochemical Analysis and Detection of Rice Syrup Adulteration in Kelulut Honey Using Portable Near-Infrared SpectroscopyThis study aimed to assess and detect adulteration of Kelulut honey with different percentages of rice syrup using near-infrared (NIR) spectroscopy.
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Specific Recognition Technology of Infrared Absorption Spectra Based on Continuous Wavelet DecompositionIR 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.
Latest:
In situ Raman Spectroscopy Monitors the Corrosion of Mild Steel in a Salt Fog ChamberIn 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.
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Polychromatic and Microfocused X-ray Radiation for Traceable Quantitative X-ray Fluorescence AnalysisIn 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.
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Lignocellulose Determination and Categorization Analysis for Biofuel Pellets Based on FT-IR SpectraFT-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.
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Solution-Based Glow Discharges for Atomic Emission Spectroscopy Come of AgeThe 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.
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Applications of Micro X-Ray Fluorescence Spectroscopy in Food and Agricultural ProductsIn 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.
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Monitoring for Per- and Poly-Fluoroalkyl (PFAS) with Advanced Mass Spectrometry– Based MethodsPer- 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.
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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-MSThis 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.
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Insights Toward Standardization of the Analysis of Microplastics by Infrared MicroscopyHere 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.
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Spectral Sensing Using a Handheld NIR Module Based on a Fully Integrated Sensor ChipA 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).
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Optical Properties of the Suwannee River Fulvic Acid Complexation with Thorium Using 3D Fluorescence SpectroscopyThe 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).
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In-situ Detection of Rice Using Laser Induced Breakdown Spectroscopy and Machine LearningThis 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.
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Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic ResonanceA review of exponential signal models with machine learning in nuclear magnetic resonance (NMR) spectroscopy is discussed here.
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A Raman Spectral Area Scanning Method to Identify the Sequences of Crossed Writings and Seal StampsDetermining 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.
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Key Steps in the Workflow to Analyze Raman SpectraA more successful blueprint for analyzing Raman spectral data is outlined by following the 11 important steps, which are outlined here.
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Characterization of GeSbSe Thin Films Synthesized by the Conventional Melt-Quenching MethodSpectroscopic ellipsometry, correlated with UV-vis-NIR spectroscopy, is used to determine the optical constants of thin films, such as in GexSb40-xSe60 chalcogenide glass.
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Geographical Traceability of Millet by Mid-Infrared Spectroscopy and Feature ExtractionThe study developed an effective mid-infrared spectroscopic identification model, combining principal component analysis (PCA) and support vector machine (SVM), to accurately determine the geographical origin of five types of millet with a recognition accuracy of up to 99.2% for the training set and 98.3% for the prediction set.
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Investigating a Laser-Induced Titanium Plasma Under an Applied Static Electric FieldWe investigate the effect of an applied electric field on the laser-induced titanium plasma for laser induced breakdown spectroscopy (LIBS) for the purpose of assessing electron density with respect to laser energy.
