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Latest:
Identifying Doxycycline Hydrochloride and Tylosin in Chicken Using Surface-Enhanced Raman SpectroscopyAn increasing number of antibiotic residue problems in food have emerged around the world. We examine how SERS is used to identify antibiotic residues in chicken, focusing on doxycycline hydrochloride and tylosin.
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Comparison of Peristaltic Pumps Used for Sample Introduction in Inductively Coupled Plasma–Atomic Emission Spectroscopy (ICP-AES)Inductively coupled plasma–atomic emission spectroscopy (ICP-AES) relies on the use of a peristaltic pump for sample introduction. Here, two conventional peristaltic pumps are compared with a new pump based on the “easy click” principle for the analytical figures of merit.
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Energy Dispersive XRF in Soil Analysis for the Agrifood SectorIn the agrifood sector, soil sampling and analysis is a prerequisite for accurate fertilizer management and to monitor the accumulation of heavy metals in soils. In this study, energy dispersive X-ray fluorescence (EDXRF) was used to analyze soils with variable textures (clay and sandy) and the percent recovery of elements was compared, as a measure of accuracy.
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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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Iodine Value, FFA, and Fatty Acid Composition with NIRSThis application note describes the benefits of determining key quality parameters in edible oil by near-infrared spectroscopy.
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Growth and Temperature-Dependent Spectral Properties of Yb3+, Tm3+ Co-Doped NaY(MoO4)2 CrystalThe possible energy transfer modes between Yb3+ and Tm3+ ions were analyzed.
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High-Resolution High-Speed LIBS MicroscopyThe use of high-resolution LIBS imaging requires the reduction of acquisition time. The authors describe a new developed system that accomplishes this goal and can be used in various applications where elemental composition and elemental distribution analysis is required.
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Multichannel Raman Spectral Reconstruction and Fast Imaging Based on Global Weighted Linear RegressionRaman spectroscopy is a powerful, label-free spectral imaging technique for biomedical sample measurements. The chemometric approaches described here increase the speed of data acquisition and improve the resolution of Raman images.
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Detection of Acute Kidney Injury Induced by Gentamicin in a Rat Model by Aluminum-Foil-Assisted ATR-FT-IR SpectroscopyA recent study used aluminum foil-assisted ATR-FT-IR spectroscopy to detect acute kidney injury (AKI) in a rat model using plasma samples. The results show how ATR-FT-IR could be used to study more types of clinical samples in the future.
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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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Multiscale Convolutional Neural Network of Raman Spectra of Human Serum for Hepatitis B Disease DiagnosisA multiscale convolutional neural network (MsCNN) was used to screen Raman spectra of the hepatitis B serum, achieving higher classification accuracy compared to traditional machine learning methods.
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Gas Chromatography–Mass Spectrometry (GC–MS) with Cold Electron Ionization (EI): Bridging the Gap Between GC–MS and LC–MSGas chromatography–mass spectrometry (GC–MS) with cold electron ionization (EI) is based on interfacing the GC and MS instruments with supersonic molecular beams (SMB) along with electron ionization of vibrationally cold sample compounds in SMB in a fly-through ion source (hence the name cold EI). GC–MS with cold EI improves all the central performance aspects of GC–MS. These aspects include enhanced molecular ions, improved sample identification, an extended range of compounds amenable for analysis, uniform response to all analytes, faster analysis, greater selectivity, and lower detection limits. In GC–MS with cold EI, the GC elution temperatures can be significantly lowered by reducing the column length and increasing the carrier gas flow rate. Furthermore, the injector temperature can be reduced using a high column flow rate, and sample degradation at the cold EI fly-through ion source is eliminated. Thus, a greater range of thermally labile and low volatility compounds can be analyzed. The extension of the range of compounds and applications amenable for analysis is the most important benefit of cold EI that bridges the gap with LC–MS. Several examples of GC–MS with cold EI applications are discussed including cannabinoids analysis, synthetic organic compounds analysis, and lipids in blood analysis for medical diagnostics.
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Automatic Coal-Rock Recognition by Laser-Induced Breakdown Spectroscopy Combined with an Artificial Neural NetworkAn artificial neural network was combined with LIBS to provide a rapid and accurate coal-rock recognition method for unmanned coal mining.
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A Novel High Selectivity Fluorimetric and Colorimetric Probe Based on Rhodamine B Hydrazide Derivatives for Detecting Hg2+ in Aqueous MediaA simple colorimetric and fluorescent dual-channel chemosensor was designed and synthesized to identify Hg2+ in an aqueous solution with demonstrated high selectivity and sensitivity.
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Inductively Coupled Plasma–Mass Spectrometry (ICP-MS) Analysis of Nanomaterials for Use in Nuclear and Material ApplicationsTunable diode laser absorption spectroscopy (TDLAS) is combined with an extreme learning machine (ELM) model, tailored by genetic algorithm (GA) parameter searching, to produce a more robust analytical method for trace gas analysis of ethylene.
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Identifying Freshness of Shrimp Following Refrigeration Using Near-Infrared Hyperspectral ImagingVarious chemometric approaches, including four discriminant models (ELM, TLBO–ELM, KELM, and TLBO–KELM), were used to detect shrimp freshness based on near-infrared hyperspectral imaging.
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Lithium-Ion Battery Manufacturing and Quality Control: Raman Spectroscopy, an Analytical Technique of ChoiceRaman spectroscopy is a valuable tool for research and quality control of lithium-ion (Li-ion) batteries, which are a critical aspect of renewable energy technologies. We highlight two cases of bulk analysis of lithium compounds using Raman spectroscopy.
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Measurement of Ammonia Leakage by TDLAS in Mid-Infrared Combined with an EMD-SG Filter MethodIn this article, tunable diode laser absorption spectroscopy (TDLAS) is used to measure ammonia leakage, where a new denoising method combining empirical mode decomposition with the Savitzky-Golay smoothing algorithm (EMD-SG) is proposed to improve the signal-to-noise ratio (SNR) of absorbance signals.
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The Detection of Biomarkers and Cocaine in Fingernails Using Attenuated Total Reflectance Fourier Transform Infrared SpectroscopyATR-FT-IR spectroscopy can provide rapid and portable measurements in forensic applications, demonstrating its ability to rapidly detect biomarkers and the presence of cocaine in fingernails.
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Towards Automated Routine Analysis of the Distribution of Trace Elements in Single Cells Using ICP-MSAnalysis of the compositional variation in living cells is essential for understanding biological processes. Single-cell elemental analysis by triple-quadrupole ICP-MS is emerging as a selective, highly sensitive, and potentially high-throughput technique for the study of constitutive elements, and uptake of metallodrugs (or metal-containing nanomaterials) in single cells.
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Coming to a Screen Near You?The United States Food and Drug Administration (FDA) is using Remote Interactive Evaluations (RIE) to assess regulatory compliance, review submission material, or determine the timing of future inspections. Here, we look at some of the impacts of RIE on GxP laboratories. Although RIE is voluntary, is this an offer that you cannot refuse?
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Soil Organic Matter Estimation Modeling Using Fractal Feature of Soil for vis-NIR Hyperspectral ImagingA novel intelligent inversion model integrating multiscale fractal analysis, PCA, and machine learning techniques (RF and SVM) was devised to accurately estimate soil organic matter (SOM) using hyperspectral data.
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Nondestructive Spectroscopic Techniques for Detection of Fungal and Mycotoxin Infections in Food Products: A ReviewFungal infections and mycotoxin contamination in food products pose a major threat to the world population. Mycotoxins contaminate approximately 25% of the world’s food products and cause severe health problems through the utilization of affected food products. The major mycotoxins in different foods are aflatoxins, ochratoxins, fumonisins, zearalenone, trichothecenes, and deoxynivalenol. Today, various conventional and nondestructive techniques are available for the detection of mycotoxins across multiple food products. Conventional methods are time-consuming, require chemical reagents, and include many laborious steps. Therefore, nondestructive techniques like near-infrared (NIR) spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, hyperspectral imaging, and the electronic nose are a priority for online detection of fungal and mycotoxin problems in different food products. In this article, we discuss recent improvements and utilization of different nondestructive techniques for the early detection of fungal and mycotoxin infections in various food products.
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GC×GC–TOF-MS and Comprehensive Fingerprinting of Volatiles in Food: Capturing the Signature of QualityFood quality differences are dependent on botanical and geographical origins of primary food ingredients as well as storage and handling. Quality assessment for food materials, including cocoa and olive oil, is demonstrated by applying two-dimensional gas chromatography (GC×GC) combined with time-of-flight mass spectrometry (TOF-MS) and pattern recognition.
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Spectrophotometric Determination of Thiosulfate in Desulfurization Solutions by Decoloration of Methylene BlueTo ensure the stable operation of fuel plant desulfurization systems, it is critical to maintain the content of thiosulfate within an appropriate range. This new method for thiosulfate determination is highly sensitive and easy to perform.
Latest:
Nondestructive Spectroscopic Techniques for Detection of Fungal and Mycotoxin Infections in Food Products: A ReviewFungal infections and mycotoxin contamination in food products pose a major threat to the world population. Mycotoxins contaminate approximately 25% of the world’s food products and cause severe health problems through the utilization of affected food products. The major mycotoxins in different foods are aflatoxins, ochratoxins, fumonisins, zearalenone, trichothecenes, and deoxynivalenol. Today, various conventional and nondestructive techniques are available for the detection of mycotoxins across multiple food products. Conventional methods are time-consuming, require chemical reagents, and include many laborious steps. Therefore, nondestructive techniques like near-infrared (NIR) spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, hyperspectral imaging, and the electronic nose are a priority for online detection of fungal and mycotoxin problems in different food products. In this article, we discuss recent improvements and utilization of different nondestructive techniques for the early detection of fungal and mycotoxin infections in various food products.
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Vitesse TOF-ICP-MS: Live High-Speed Multi-Elemental ImagingThis application note describes how Vitesse TOF-ICP-MS can produce high speed multi-elemental images by reducing large amounts of data to individual pixels.
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A Dual Nanostructured Approach to SERS Substrates Amenable to Large-Scale ProductionSERS can amplify Raman signals, but to make the technique practical for industrial use, large quantities of substrate are needed. The approach described here could enable cost-effective, reproducible manufacturing of SERS substrates at large scale.
