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2D Material Characterization Using Nanoscale SpectroscopyAFM-IR analyzes nanoscale chemical and complex optical properties of 2D materials, including graphene, hexagonal boron nitride, nanoantennae, and semiconductors.
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Single-Cell Analysis by Inductively Coupled Plasma–Time-of-Flight Mass Spectrometry to Quantify Algal Cell Interaction with Nanoparticles by Their Elemental FingerprintThis method detects elements intrinsically present in cells, and because sc-ICP-TOF-MS measures a full mass spectrum, no analytes are missed.
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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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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.
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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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Illicit Drug Analysis in Blood Samples with Multivariate Analysis Using Surface-Enhanced Raman SpectroscopyDetecting illicit drugs in blood samples requires a rapid, non-invasive technique. The combination of surface-enhanced Raman spectroscopy (SERS) and chemometric techniques, such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), can aid in this endeavor.
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Analyzing the Elemental Composition of Fine Particulate Matter (PM2.5) Emitted as Air Pollution Using Inductively Coupled Plasma–Mass Spectrometry (ICP-MS)This study describes how interference-free, low-level analysis of toxic elements as well as major elements in particulate matter (PM), with an aerodynamic diameter of 2.5 μm or smaller, can be accomplished. Comparison study examples are given for two locations.
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H-Classic Papers in Atomic Spectroscopy: An Integrative Literature ReviewIn this study, a methodical qualitative and quantitative analysis of H-Classic publications that have made key contributions and identify intensive mainstream research areas in atomic spectroscopy is presented.
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Simultaneous Determination of 50 Elements in Geological Samples by ICP-MS Combined with ICP-OESA method combining inductively coupled plasma–mass spectrometry (ICP-MS) with inductively coupled plasma–optical emission spectrometry (ICP-OES) was developed for multielement determination of 50 species of major, minor, micro, and trace, rare earth, and rare elements in geological samples.
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Authenticity Identification of Panax notoginseng by Terahertz Spectroscopy Combined with LS-SVMIn 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.
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Evaluation of Shifted-Excitation Raman Difference Spectroscopy and Comparison to Ordinary Portable Raman Spectroscopy in Identification of Seized DrugsShifted-excitation Raman difference spectroscopy (SERDS) is a technique that is capable of reducing the interference caused by fluorescence and improve the potential of Raman for distinguishing drug compounds in seized samples with fluorescent additives. Here, 43 drugs were analyzed to show the practical application of SERDS.
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Combining the WGAN and ResNeXt Networks to Achieve Data Augmentation and Classification of the FT-IR Spectra of StrawberriesThe details of applying deep learning algorithms and FT-IR spectra are described for classification research using the spectra of strawberries as an example.
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Transmission IR Spectroelectrochemical CellPhaseTech's new Volt IR makes e-chem measurements easier because it works in transmission geometry. Plasmonic windows are the electrodes and enhance signals.
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Terahertz Spectral Investigation of L-Cysteine Hydrochloride and its MonohydrateThis new terahertz method provides a theoretical reference for studying the relationship between biomolecules and water.
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Real-Time Chemometric Analysis of Multicomponent Bioprocesses Using Raman SpectroscopyIn this study, a glycerol-fed, lab-scale E. coli bioprocess producing representative pharmaceutical compounds was monitored offline with a portable, high-sensitivity Raman spectrometer.
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A Novel Fluorescence Sensor Based on the Tetrakis (4-Carboxyphenyl) Porphyrin (TCPP)-Hg2+ System for Glutathione (GSH) DetectionGlutathione (GSH) is an intracellular thiol that plays a major role in biological systems. Therefore, the development of effective probes that can detect GSH elicits significant attention.
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Five Reasons Why Not Every Peak Shift in Infrared (IR) Spectra Indicates a Chemical Structure ChangePeak shifts in infrared spectra may occur for many reasons other than structural changes on the molecular or unit cell level. Here, we discuss several examples.
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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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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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Real-World Application of Open-Path UV-DOAS, TDL, and FT-IR Spectroscopy for Air Quality Monitoring at Industrial FacilitiesThe implementation of 120 open-path spectroscopy analyzers at oil refineries has taught us lessons about compound identification, target species detectability, interferences, and data management, which can help spectroscopists generate more accurate data when monitoring air quality.
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Rapid Quantitative Method in the Determination of Total Flavonoids in Tibetan Medicine Meconopsis integrifolia (Maxim.) Franch. from Qinghai-Tibet Plateau by Near Infrared SpectroscopyThis study aimed to establish a fast, accurate method for quality evaluation of herbal medicine using NIR and chemometrics with ultraviolet-visible spectrophotometry (UV-vis) as a standard method to determine the total flavonoids content.
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Studying the Source of Raw Material and Glaze Formula of Sky Green “Ru-type Ware” and Ru Kuan Ware by EDXRFAs this study demonstrates, energy-dispersive X-ray fluorescence (EDXRF) and multivariate statistical analysis can be used to distinguish different classes of historical artifacts, such as ancient pottery—revealing insights about theirs origin and uses.
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A Genetic Algorithm–Optimized Extreme Learning Machine Model for Process Ethylene Analysis Robustness EnhancementTunable 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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Raman Spectroscopy as a Tool for Rapid Feedback of Perovskite Growth Crystallinity and CompositionPerovskites are known to be useful for fabrication of solar cells, and their crystalline structure plays an important role in their electronic properties. Here, we show how Raman analysis is able to confirm the presence of the required crystalline phase for solar cell production.
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Online ATR-FT-IR for Real-Time Monitoring of the Aspirin Esterification Process in an Acid-Mediated ReactionIn this study, the measured spectra of acetic anhydride, acetic acid, salicylic acid, and aspirin are used for in situ monitoring of the progression of aspirin synthesis in a reaction system. Traditional methods such as HPLC and titration ultraviolet (UV) absorption are not optimal for such real-time monitoring because of long analytical times and complicated procedures. ATR-FT-IR offers an alternative solution that overcomes the shortcomings of traditional techniques.
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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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Identification and Classification of Degradation-Indicator Grass Species in a Desertified Steppe Based on HSI-UAVUtilizing a low-altitude unmanned aerial vehicle (UAV), a hyperspectral remote-sensing system can identify key grass species indicating grassland degradation, developing an ASI index and classification rules and leveraging spectral differences and plant senescence reflectance to effectively monitor and evaluate grassland conditions and degradation.
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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.
