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Latest:
Flexible Stacked Partial Least Squares for Mid-Infrared Spectroscopy Glucose DetectionA new FID-FM fusion model for infrared measurements of glucose in synthetic samples is proposed, comparing prediction performance to full PLS, SMR, XGBoost, CBR, and DSFPLS modeling methods.
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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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Real-time Picometer Resolution SpectrometersAlexander Beaton, a Senior Scientist at LightMachinery, joins us to talk about HyperFine virtually imaged phase array based picometer resolution spectrometers. Applications including laser characterization, plasma studies, and Brillouin measurements for biological applications will be discussed.
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Advancing Trace Elemental and Speciation Analysis with a Focus on MetrologyFor more than 20 years, Heidi Goenaga-Infante, a science fellow and the leader of the inorganic analysis team at LGC, has been working on elemental and speciation analysis. Two recent areas of investigation include the analysis of trace metals in biological samples, and the study of nanomaterials. In these studies, Goenaga-Infante puts particular emphasis on metrology-advancing this work by developing validated reference methodologies. Goenaga-Infante is the 2020 recipient of the Lester W. Strock Award from Society of Applied Spectroscopy (SAS) and the SAS New England Regional Section, in recognition of her contributions to the field of analytical atomic spectrometry, and she recently spoke to us about her work. This interview is part of an ongoing series of interviews with the winners of awards that are presented at the SciX conference.
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ICP-OES as a Viable Alternative to ICP-MS for Trace Analysis: Meeting the Detection Limits ChallengeA new sample introduction method improves ICP-OES for ultratrace element analysis. An explanation of how this ICP-OES compares to ICP-MS analysis is also provided.
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Small-Angle X-ray Scattering from Lamellar StructuresLamellar structures, which are common in many polymeric materials and biological tissues, can diffract X-rays and give rise to reflections at small scattering angles. Analysis of these scattering features can be used investigate the deformation of lamellar structures at the microstructural length.
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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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EDX and LIBS Studies on Gallstones Using Partial Least Squares Discriminant Analysis (PLS-DA)Understanding gallstone formation requires examining their elemental composition. Here, EDS and LIBS were used with PLS-DA to quantify elements found in human gallstones.
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Optical Constants of Mixed Crude Oil in Visible Waveband Based on the Double-Thickness Transmittance MethodTo study the optical properties of mixed crude oil, the optical constants of samples consisting of two crude oils mixed in different proportions were obtained by the double-thickness transmittance method based on transmittance spectra.
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Detecting Chicken Freshness Utilizing VNIR, SWIR Spectroscopy, and Data FusionThis study uses hyperspectral imaging (HSI) technology, in synergy with machine learning and deep learning algorithms, to innovate a non-destructive method for the assessment of chicken freshness.
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Using Information-Based Classifications to Distinguish Characteristics of Raw Agricultural Materials by Near-Infrared SpectroscopyTraditional qualitative analysis of agricultural materials using near-infrared spectroscopy can be improved using information-based classification methods, such as projection based on principal components and the Fisher criterion (PPF).
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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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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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A Comprehensive Study of WSe2 Crystals Using Correlated Raman, Photoluminescence (PL), Second Harmonic Generation (SHG), and Atomic Force Microscopy (AFM) ImagingUsing confocal Raman imaging and other advanced measurement techniques, we study the localized strain characteristics of tungsten diselenide (WSe2), an important nanomaterial used for optoelectronic device applications.
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Model for Retrieving Leaf Chlorophyll Using the Wavelet Analysis Algorithm with the Prospect Radiative Transfer Model and Vis-NIR SpectraSpectral reflectance is a non-destructive method that is applicable to remote sensing and may be used to measure the chlorophyll content in a crop, which indicates the photosynthetic capacity, growth cycles, and degrees of stress (such as disease, insect infestation, and heavy metal stress) on plant ecosystems. This vis-NIR spectral reflectance method measures leaf chlorophyll using a wavelet analysis algorithm approach.
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Fingerprinting of Mineral Medicine Natrii Sulfas by Fourier Transform Infrared SpectroscopyWe show how FT-IR may be used for quality control analysis of natrii sulfas, a transparent crystalline material used in natural medicine that primarily contains sodium sulfate decahydrate, crystallized from sulfate minerals.
Latest:
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.
Latest:
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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Exploring the Potential of the Yb(III) (HE)4 Complex for Oncotherapy Using UV-vis SpectroscopyEvaluation of the UV-vis spectra of the reaction product of ytterbium (III) with hematoxylin (HE) indicates the formation of a rare earth complex that further reacts with marine mammal DNA, indicating the potential that this complex may have anti-tumor properties.
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Simultaneous Determination of 50 Elements in Geochemical Samples by Low-Pressure Closed Digestion-ICP-MSThe article describes a method for geochemical sample analysis using polytetrafluoroethylene (PTFE) crucibles and ICP-MS, achieving detection limits below 0.2 μg/g and relative standard deviations ranging from 1.1% to 16.4%. The approach minimizes acid usage, prevents dust contamination, accurately determines volatile elements, and is deemed suitable for high-throughput laboratories with numerous samples and diverse elements to be tested.
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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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Confocal Raman Spectroscopy for Gemstones AnalyzingThis application note demonstrates the performance of RAMOS 120 series confocal Raman microscopes for non-destructive identity and analysis of gemstones.
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Interacting Characteristics of Chrysene with Free DNA in vitroDNA effectively removes chrysene from contaminated water through intercalation, as confirmed by various analytical methods, offering a potential novel approach for chrysene elimination in water pollution.
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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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Imaging of Trace Elements Using Laser Ablation–Inductively Coupled Plasma–Mass Spectrometry: Emerging New ApplicationsMetallomics seeks to understand the metallobiochemistry of cells and organisms in health and disease. This article explains the principle of laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS) for imaging applications and highlights its potential to provide additional insights in bioanalysis and metallomics.
Latest:
Flexible Stacked Partial Least Squares for Mid-Infrared Spectroscopy Glucose DetectionA new FID-FM fusion model for infrared measurements of glucose in synthetic samples is proposed, comparing prediction performance to full PLS, SMR, XGBoost, CBR, and DSFPLS modeling methods.
Latest:
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.
Latest:
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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Tracking Photocuring via ATR-FT-IR with Illumination through the ATR ElementThe utility of the GladiATR diamond ATR, modified with an internal liquid light guide to illuminate the sample from underneath the ATR element, was explored to analyze the photo-polymerization of carbitol acrylate at 405 nm using 1 wt% TPO.
