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Important Considerations Regarding Matrix Effects When Developing Reliable Analytical Residue Methods Using Mass SpectrometryPractical examples of how to correct for matrix effects in food testing to obtain reliable quantitative data using LC–MS and GC–MS
Latest:
Important Considerations Regarding Matrix Effects When Developing Reliable Analytical Residue Methods Using Mass SpectrometryPractical examples of how to correct for matrix effects in food testing to obtain reliable quantitative data using LC–MS and GC–MS
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The Role of Surface Coverage and Orthogonality Metrics in Two-Dimensional ChromatographyThe enhanced separation power of two-dimensional (2D) chromatography has become accessible thanks to the commercialization of dedicated two-dimensional systems. However, with great separation power comes great system complexity. All two-dimensional systems require a means for collecting and transferring fractions of the first dimension to the second dimension typically via a loop-based interface in on-line methods. It is important to collect a sufficient number of fractions to prevent loss of the first dimension resolution; that is, the sampling rate must be sufficient to prevent undersampling. Another key parameter to consider is selectivity. By coupling two selectivities that have unrelated retention mechanisms we are able to exploit the different physiochemical characteristics of the sample we wish to separate. This is the concept behind the term orthogonality. By coupling orthogonal selectivities and reducing under‑sampling, our system should be able to achieve the theoretical maximum two-dimensional peak
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Selection of Optical Fiber for Chromatographic Detectors and Remote Sensing ApplicationsOptical fibers are routinely used in liquid chromatographic detectors as a means of simplifying optical designs. Selection of the appropriate fiber is an important factor in achieving optimal system performance.
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CE-MS Based Sample to Result Workflow for biosimilars (June 2024)In this study, we present an ion-pairing-free method for AXPs analysis using microchip CE-MS. This fast, simple method achieves baseline resolution for Adenosine, AMP, ADP, and ATP. Excellent linearity and sensitivity are observed in human plasma.
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Enhanced Evaluation of the Authenticity of Perfumes Using GC×GC–TOF-MSThe benefits that GC×GC–TOF-MS with tandem ionization and chemometrics offer for fragrance profiling and authenticity evaluation.
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Characterising complex petrochemicalsCharacterising various complex petrochemicals – including diesel, crude oil and vacuum gas oil – using the enhanced peak capacity of GC×GC–FID with thermal modulation
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Driving Under the Influence of Drugs: PESI for the Measurement of Illicit Drugs in SalivaThe benefits of a PESI-MS/MS approach to detect illicit drugs in saliva.
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Field-Flow Fractionation: Virtual Optimization for Versatile Separation MethodsFlow-field flow fractionation (flow-FFF) offers highly versatile separations for the analysis of complex fluids, covering a size range of macromolecules and particles from 1 nm to 10,000 nm. However, flow-FFF is often perceived as a difficult technique to learn because of the multiple parameters available for adjustment. Recent advances in software for simulating flow-FFF overcome this obstacle, enabling the virtual optimization of flow-FFF methods and opening up the power of flow-FFF separations to non-experts. An added benefit is the ability to easily analyze particle size distributions by elution time from first principles.
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High-Definition Screening for Boar Taint in Fatback Samples Using GC–MSHigh-definition screening by gas chromatography–mass spectrometry (GC–MS) is shown to be a viable option for the reliable identification of odorous compounds in pork.
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Selecting the Best HPLC Column for Carbohydrate Analysis of Food SamplesFood carbohydrate content is routinely analyzed to ensure food quality and taste. Over the years many analytical techniques, including thin-layer chromatography (TLC), enzymatic analysis, and gas liquid chromatography (GLC), have been developed that allow qualitative and quantitative analysis of sugars, organic acids, and alcohol in food. Amongst these, ion‑moderated partitioning high performance liquid chromatography (HPLC) has emerged as a very valuable tool and has been used in thousands of published studies. This article describes the various considerations for selecting and optimizing the use of ion-moderated partitioning HPLC analytical columns for carbohydrate analysis in various types of food samples.
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Selecting the Best HPLC Column for Carbohydrate Analysis of Food SamplesFood carbohydrate content is routinely analyzed to ensure food quality and taste. Over the years many analytical techniques, including thin-layer chromatography (TLC), enzymatic analysis, and gas liquid chromatography (GLC), have been developed that allow qualitative and quantitative analysis of sugars, organic acids, and alcohol in food. Amongst these, ion‑moderated partitioning high performance liquid chromatography (HPLC) has emerged as a very valuable tool and has been used in thousands of published studies. This article describes the various considerations for selecting and optimizing the use of ion-moderated partitioning HPLC analytical columns for carbohydrate analysis in various types of food samples.
Latest:
Selecting the Best HPLC Column for Carbohydrate Analysis of Food SamplesFood carbohydrate content is routinely analyzed to ensure food quality and taste. Over the years many analytical techniques, including thin-layer chromatography (TLC), enzymatic analysis, and gas liquid chromatography (GLC), have been developed that allow qualitative and quantitative analysis of sugars, organic acids, and alcohol in food. Amongst these, ion‑moderated partitioning high performance liquid chromatography (HPLC) has emerged as a very valuable tool and has been used in thousands of published studies. This article describes the various considerations for selecting and optimizing the use of ion-moderated partitioning HPLC analytical columns for carbohydrate analysis in various types of food samples.
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Olive Oil Quality and Authenticity: Recent Improvements in Sample Preparation and GC–FID AnalysisThe growing popularity of extra virgin olive oil (EVOO), thanks in part to its presumed health benefits, has resulted in an increased incidence of product adulteration to achieve higher financial gains. This adulteration, through dilution with less expensive oils, has created demand for product authenticity testing. Olive oil testing based on traditional methods is slow, labour-intensive, and requires large amounts of organic solvents. This article reviews the challenges in the accurate analysis of olive oil and discusses new methods that can improve this testing.
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Comprehensive Screening of Pollutants in Household Dust Using High-Resolution Mass Spectrometry with Enhanced Chromatographic ResolutionHigh resolution time-of-flight mass spectrometry (HR-TOF-MS) with a novel multimode ionization source together with enhanced chromatographic resolution can successfully detect and identify pollutants in household dust samples. Here’s how.
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The State of the Art in Chiral Capillary Gas ChromatographyA review of the historical development and latest trends in phase development in the field of chiral capillary gas chromatography. A range of novel applications in chiral capillary GC are also described.
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Accurate Determination of Methane in Cable Insulation Material by Gas Bag Sampling and Multiple Headspace Extraction Gas ChromatographyA method was developed to address the constraints encountered when measuring methane levels during the degassing process.
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Accurate Determination of Methane in Cable Insulation Material by Gas Bag Sampling and Multiple Headspace Extraction Gas ChromatographyA method was developed to address the constraints encountered when measuring methane levels during the degassing process.
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Accurate Determination of Methane in Cable Insulation Material by Gas Bag Sampling and Multiple Headspace Extraction Gas ChromatographyA method was developed to address the constraints encountered when measuring methane levels during the degassing process.
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Accurate Determination of Methane in Cable Insulation Material by Gas Bag Sampling and Multiple Headspace Extraction Gas ChromatographyA method was developed to address the constraints encountered when measuring methane levels during the degassing process.
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Accurate Determination of Methane in Cable Insulation Material by Gas Bag Sampling and Multiple Headspace Extraction Gas ChromatographyA method was developed to address the constraints encountered when measuring methane levels during the degassing process.
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Laser Diode Thermal Desorption Tandem Mass Spectrometry for Simultaneous Quantitation of Metformin and Sitagliptin in Mouse and Human Dried Blood SpotsAn exploration of LDTD-MS-MS and how it compares to HPLC–MS-MS techniques in terms of sensitivity, robustness, and speed in an in-vivo drug discovery application
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Determination of Sophisticated Honey Adulteration with LC–IRMSHoney is a high-value commodity, whose quality is defined both by its botanical and geographical origin. This generates a strong consumer demand for certain, premium-priced products, which have become the target for adulterations. A useful tool to detect the addition of sugar to honey products is based on the well-documented difference in δ13C values between C3 (natural honey) and C4 (added sugar) plants. Coupling high performance liquid chromatography (HPLC) with isotope ratio mass spectrometry (LC–IRMS) has the unrivaled advantage of the simultaneous determination of δ13C values from glucose, fructose, di-, tri-, and oligo-saccharides, allowing the detection of more sophisticated honey adulteration with a simple user-friendly analytical system.
Latest:
Determination of Sophisticated Honey Adulteration with LC–IRMSHoney is a high-value commodity, whose quality is defined both by its botanical and geographical origin. This generates a strong consumer demand for certain, premium-priced products, which have become the target for adulterations. A useful tool to detect the addition of sugar to honey products is based on the well-documented difference in δ13C values between C3 (natural honey) and C4 (added sugar) plants. Coupling high performance liquid chromatography (HPLC) with isotope ratio mass spectrometry (LC–IRMS) has the unrivaled advantage of the simultaneous determination of δ13C values from glucose, fructose, di-, tri-, and oligo-saccharides, allowing the detection of more sophisticated honey adulteration with a simple user-friendly analytical system.
Latest:
Determination of Sophisticated Honey Adulteration with LC–IRMSHoney is a high-value commodity, whose quality is defined both by its botanical and geographical origin. This generates a strong consumer demand for certain, premium-priced products, which have become the target for adulterations. A useful tool to detect the addition of sugar to honey products is based on the well-documented difference in δ13C values between C3 (natural honey) and C4 (added sugar) plants. Coupling high performance liquid chromatography (HPLC) with isotope ratio mass spectrometry (LC–IRMS) has the unrivaled advantage of the simultaneous determination of δ13C values from glucose, fructose, di-, tri-, and oligo-saccharides, allowing the detection of more sophisticated honey adulteration with a simple user-friendly analytical system.
Latest:
Determination of Sophisticated Honey Adulteration with LC–IRMSHoney is a high-value commodity, whose quality is defined both by its botanical and geographical origin. This generates a strong consumer demand for certain, premium-priced products, which have become the target for adulterations. A useful tool to detect the addition of sugar to honey products is based on the well-documented difference in δ13C values between C3 (natural honey) and C4 (added sugar) plants. Coupling high performance liquid chromatography (HPLC) with isotope ratio mass spectrometry (LC–IRMS) has the unrivaled advantage of the simultaneous determination of δ13C values from glucose, fructose, di-, tri-, and oligo-saccharides, allowing the detection of more sophisticated honey adulteration with a simple user-friendly analytical system.
Latest:
Determination of Sophisticated Honey Adulteration with LC–IRMSHoney is a high-value commodity, whose quality is defined both by its botanical and geographical origin. This generates a strong consumer demand for certain, premium-priced products, which have become the target for adulterations. A useful tool to detect the addition of sugar to honey products is based on the well-documented difference in δ13C values between C3 (natural honey) and C4 (added sugar) plants. Coupling high performance liquid chromatography (HPLC) with isotope ratio mass spectrometry (LC–IRMS) has the unrivaled advantage of the simultaneous determination of δ13C values from glucose, fructose, di-, tri-, and oligo-saccharides, allowing the detection of more sophisticated honey adulteration with a simple user-friendly analytical system.
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Direct Analysis of Amino Acids by HILIC–ESI-MSHydrophilic interaction liquid chromatography coupled to electrospray ionization mass spectrometry (HILIC–ESI-MS) has been established as a method to separate and quantify polar and ionic analytes in a direct way for two decades. HILIC separation is based on the polarity of analytes, so the more polar analytes have stronger retention on a HILIC column.
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The Effect of Draw-Out Lens Diameter on Sensitivity of GC–MS AnalysisGas chromatography–mass spectrometry (GC–MS) allows isolation and identification of individual analytes within a complex mixture. Helium has traditionally been the first-choice carrier gas, owing to its inertness, performance, and relatively cheap price. Since 2001, however, helium has become increasingly expensive with a reported global increase in price of 500% between 2001 and 2016 (1). In 2012–2013, the global helium shortage increased the number of GC users switching to alternative carrier gases and improved the availability of information on their use.
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Automated Deformulation of LC–MS and GC–MS DataAccelerate deconvolution of complex MS samples with software that generates an extensive, unbiased, relevant list of structures and component identifiers for your data.
