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Liquid Chromatography–Atmospheric Pressure Photoionization-Mass Spectrometry Analysis of the Nonvolatile Precursors of Rancid Smell in MayonnaiseFor lipid-containing food products like mayonnaise, determining nonvolatile lipid oxidation products, the precursor compounds for rancidity, makes it possible to predict product shelf life at an earlier stage in product development. A method based on normal-phase liquid chromatography with atmospheric pressure photoionization-mass spectrometry (LC–APPI-MS) was developed for this purpose.
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Novel Methods Using Mass Spectrometry for Food Safety—From Contamination to NutritionIn the human food supply, public confidence is affected by contaminants and misreporting of nutritional information. This article highlights three events that required development of new mass spectrometry methods, including the detection of pesticides (such as fipronil and glyphosate), and the detection and quantification of fat-soluble vitamins.
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Novel Methods Using Mass Spectrometry for Food Safety—From Contamination to NutritionIn the human food supply, public confidence is affected by contaminants and misreporting of nutritional information. This article highlights three events that required development of new mass spectrometry methods, including the detection of pesticides (such as fipronil and glyphosate), and the detection and quantification of fat-soluble vitamins.
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Enhancing the Sensitivity of Atmospheric Pressure Ionization Mass Spectrometry Using Flow Modulated Gas ChromatographyThe past decade has witnessed resurgent interest in coupling GC to atmospheric-pressure chemical ionization (APCI), which is suitable for the high column flows required for using flow modulation. This study assesses the use of GP-APCI with flow modulation for sensitive detection of selected trace organics.
Latest:
Enhancing the Sensitivity of Atmospheric Pressure Ionization Mass Spectrometry Using Flow Modulated Gas ChromatographyThe past decade has witnessed resurgent interest in coupling GC to atmospheric-pressure chemical ionization (APCI), which is suitable for the high column flows required for using flow modulation. This study assesses the use of GP-APCI with flow modulation for sensitive detection of selected trace organics.
Latest:
Enhancing the Sensitivity of Atmospheric Pressure Ionization Mass Spectrometry Using Flow Modulated Gas ChromatographyThe past decade has witnessed resurgent interest in coupling GC to atmospheric-pressure chemical ionization (APCI), which is suitable for the high column flows required for using flow modulation. This study assesses the use of GP-APCI with flow modulation for sensitive detection of selected trace organics.
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Unraveling Biomolecular Dynamics: A New Computational Tool for Analyzing Protein Movements from AFM ImagesResearchers at Nagoya University and RIKEN have developed a novel computational method to enhance the resolution of high-speed atomic force microscopy (HS-AFM) images for studying protein conformational transitions. The algorithm, normal mode flexible fitting-atomic force microscopy (NMFF-AFM), leverages normal-mode analysis to derive precise molecular models, potentially transforming the understanding of biomolecular dynamics.
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Have I selected the right laser for my Raman experiments?Thanks to rapid technology advancements in recent years, Raman Spectroscopy has become a routine, cost-efficient, and much appreciated analytical tool with applications in material science and in-line process control for pharmaceutical, food & beverage, chemical and agricultural industries. Improvements in laser technology, detectors (CCDs and InGaAs arrays), and spectral filters (VBG-based notch filters), along with developments of new schemes for signal generation and detection, have aided Raman instrument manufacturers in overcoming the challenge of weak signals which has accelerated instrument development and market growth. In this white paper, we discuss important performance parameters to consider when selecting the laser for Raman spectroscopy experiments.
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More About CLS, Part 2: Spectral Results (Not Needing Constituent Values) and CLSA previous analysis of data is compared to the results achieved using classical least squares and principal component analysis. What did we learn?
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Exploring the Applicability of Quantitative Models Based on NIR Reflectance Spectroscopy of Plant SamplesThe establishment of quantitative models based on the near-infrared (NIR) spectroscopic analysis of plant samples plays an important role in improving both the scope of the models and the accuracy of prediction. This technique could provide a new method for tobacco quality management and provide a new discriminant method for other agricultural products.
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Calibration Transfer Chemometrics, Part II: A Review of the SubjectCalibration transfer involves several strategies and mathematical techniques for applying a single calibration database consisting of samples, reference data, and calibration equations to two or more instruments. In this installment, we review the chemometric and tactical strategies used for the calibration transfer process.
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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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Exploring the Applicability of Quantitative Models Based on NIR Reflectance Spectroscopy of Plant SamplesThe establishment of quantitative models based on the near-infrared (NIR) spectroscopic analysis of plant samples plays an important role in improving both the scope of the models and the accuracy of prediction. This technique could provide a new method for tobacco quality management and provide a new discriminant method for other agricultural products.
Latest:
Exploring the Applicability of Quantitative Models Based on NIR Reflectance Spectroscopy of Plant SamplesThe establishment of quantitative models based on the near-infrared (NIR) spectroscopic analysis of plant samples plays an important role in improving both the scope of the models and the accuracy of prediction. This technique could provide a new method for tobacco quality management and provide a new discriminant method for other agricultural products.
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Single-Cell ICP-MS Analysis: Quantifying the Metal Concentration of Unicellular Organisms at the Cellular LevelSingle-cell ICP-MS can accurately quantify the metal concentrations within individual cells, providing new information about the mean metal content and the variation within a cell population. This method is shown to be a vital tool for assessing the specific uptake of metals by ovarian cancer cells and fresh water algae.
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Single-Cell ICP-MS Analysis: Quantifying the Metal Concentration of Unicellular Organisms at the Cellular LevelSingle-cell ICP-MS can accurately quantify the metal concentrations within individual cells, providing new information about the mean metal content and the variation within a cell population. This method is shown to be a vital tool for assessing the specific uptake of metals by ovarian cancer cells and fresh water algae.
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Analysis of Organometallic Compounds and Metallic Particles in Specialty Gases by Direct Injection Using Gas Exchange Device (GED) Coupled to Inductively Coupled Plasma–Mass Spectrometry (ICP-MS)In this article, we introduce the concept of a gas exchange device (GED) and how it can be used to monitor organometallic compounds and metallic particles in specialty gases.
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Solid Physical State Transformation in Hot Melt Extrusion Revealed by Inline Near-Infrared (NIR) Spectroscopy and Offline Terahertz (THz) Raman ImagingInline 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.
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Exploring the Unknown with Correlative Raman Imaging and Scanning Electron MicroscopyConfocal Raman imaging and scanning electron microscopy are techniques that are ideally suited to correlating structural and chemical information as shown here on a variety of samples.
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Data-Driven Raman Spectroscopy in Oil and Gas: Rapid Online Analysis of Complex Gas MixturesThis new data-driven Raman spectroscopy (DDRS) method is capable of simultaneously measuring 12 hydrocarbon and nonhydrocarbon gases in the presence of matrix interferences.
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Exploring the Unknown with Correlative Raman Imaging and Scanning Electron MicroscopyConfocal Raman imaging and scanning electron microscopy are techniques that are ideally suited to correlating structural and chemical information as shown here on a variety of samples.
Latest:
Exploring the Unknown with Correlative Raman Imaging and Scanning Electron MicroscopyConfocal Raman imaging and scanning electron microscopy are techniques that are ideally suited to correlating structural and chemical information as shown here on a variety of samples.
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Lithium-Ion Battery Analysis: A Virtual SymposiumWebinar Date/Time: Thursday, September 26, 2024 Morning Session: 10:00 AM EDT | 7:00 AM PDT | 3:00 PM BST | 4:00 PM CEST Afternoon Sesson: 12:30 PM EDT | 9:30 AM PDT | 5:30 PM BST | 6:30 PM CEST
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Evaluation of Modified QuEChERS for Pesticide Analysis in CannabisWell-established techniques used by the food safety industry, such as QuEChERS sample preparation followed by LC–MS/MS for the analysis of multiresidue pesticides, are evaluated for use with cannabis plant material.We evaluated a modified QuEChERS LC-MS/MS method for analysis of multiresidue pesticides.
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Target Anode Material for HHXRF InstrumentsThis application note provides insights for the proper selection of anode materials and thicknesses for HHXRF applications.
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Native Measurement of a Biotherapeutic without Interference from Excipients Using Microfluidic Modulation SpectroscopyA new infrared spectroscopy technique, microfluidic modulation spectroscopy (MMS), delivers reproducible protein characterization over close to four orders of magnitude in protein concentration (from 0.1 to 200 mg/mL). This technique characterizes samples from the earliest stages of development through to manufacture.
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Direct Determination of Oil Content in Binary Mixtures of Peanut and Canola Oils Using Partial Least Squares and Attenuated Total Reflectance Fourier Transform Infrared SpectroscopyThis study presents a novel, time-efficient, and cost-effective procedure for determining the percentage of oil content in binary mixtures of peanut and canola oils.
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Direct Determination of Oil Content in Binary Mixtures of Peanut and Canola Oils Using Partial Least Squares and Attenuated Total Reflectance Fourier Transform Infrared SpectroscopyThis study presents a novel, time-efficient, and cost-effective procedure for determining the percentage of oil content in binary mixtures of peanut and canola oils.
