Potency testing in marijuana-infused edibles is a problematic task due to the complexity of the matrices. The concentration of active ingredients in edibles can range from a few ppm to 3.5% (1). In this application, active cannabinoid compounds were extracted from gummy bears (and also brownies, results not shown), followed by HPLC analysis.
The importance of sample preparation for analyzing pain management drugs in different matrices
CHROMacademy's Tutor: Scott Fletcher discusses whether HPLC method development has become a dying art.
This note discusses how to rapidly screen, identify, and generate quantitative information for pesticide residues in food with the Agilent 7200 GC/Q-TOF with Agilent MassHunter Qualitative Analysis All Ions workflow.
This note discusses how to rapidly screen, identify, and generate quantitative information for pesticide residues in food with the Agilent 7200 GC/Q-TOF with Agilent MassHunter Qualitative Analysis All Ions workflow.
As a result of the pharmaceutical cGMP for the 21st century and quality by design (QbD) initiatives championed by regulators, the biopharmaceutical industry has been looking for ways to introduce more automated and higher information content analyses into manufacturing, late-development, and quality control (QC). Mass spectrometry (MS-) based attribute monitoring assays have been proposed as key tools to provide the sensitivity, throughput, selectivity, and flexibility required for monitoring critical product and process attributes for biopharmaceutical production and release. Two analytical workflows, subunit multi-attribute monitoring (MAM) and peptide MAM, have emerged to dominate this discussion, and this article is intended to reflect on the active debates over the needs, challenges, and practical limitations for adopting MS-based attribute monitoring for late-development and QC.
The quantitative performance of the latest generation of high-resolution instruments is comparable to that of a triple quadrupole MS, even though different scanning modes are used. Higher-resolution instrumentation also allows flexibility concerning compound identification because the experiment can be set up for targeted quantitation, screening, or both. In an Orbitrap-based instrument, the parallel reaction monitoring (PRM) mode performs most closely to a triple quadrupole mass analyzer using selected reaction monitoring (SRM) mode. This study looks at the performance of an Orbitrap-based LC–MS method for EPA Method 539.
The biopharmaceutical industry continues to focus on the development of biotherapeutic monoclonal antibody (mAbs) drugs. In this article, the compatibility of SEC coupled with HRAM–MS for the analysis of mAbs is demonstrated.
There is growing interest in the determination of endogenous proteins in biological samples for diagnostic purposes, because a concentration increase or decrease of such proteins can allows us to monitor the state of a pathological condition such as cancer. Immunocapture LC–MS/MS analysis combines the workflow of conventional immunological assays with LC–MS analysis. This article describes typical challenges, such as cross reactivity and the mass spectrometer’s dynamic range, as well as the advantages of isoform differentiation and multiplexing.
There is growing interest in the determination of endogenous proteins in biological samples for diagnostic purposes, because a concentration increase or decrease of such proteins can allows us to monitor the state of a pathological condition such as cancer. Immunocapture LC–MS/MS analysis combines the workflow of conventional immunological assays with LC–MS analysis. This article describes typical challenges, such as cross reactivity and the mass spectrometer’s dynamic range, as well as the advantages of isoform differentiation and multiplexing.
The principal aim of this work was to provide a perspective with practical utility in streamlining the chromatographic method development in pharmaceutical industries based upon predicting the chromatographic retention times from molecular structures. Workflows were suggested with a focus on reversed-phase LC, IC, and HILIC as the three major techniques. Unlike HILIC, retention prediction in both reversed-phase LC and IC can benefit from the maturity of these techniques and the transparency of their retention mechanisms. In reversed-phase LC the solute coefficients in the hydrophobic subtraction model and in IC the a and b values in the linear solvent strength model can be the subject of modelling with their subsequent use in retention prediction. A workflow for HILIC can be based on the design of experiments approach, to account for all major contributors to the retention mechanism, and direct correlation of experimental retention times to the molecular descriptors.
The principal aim of this work was to provide a perspective with practical utility in streamlining the chromatographic method development in pharmaceutical industries based upon predicting the chromatographic retention times from molecular structures. Workflows were suggested with a focus on reversed-phase LC, IC, and HILIC as the three major techniques. Unlike HILIC, retention prediction in both reversed-phase LC and IC can benefit from the maturity of these techniques and the transparency of their retention mechanisms. In reversed-phase LC the solute coefficients in the hydrophobic subtraction model and in IC the a and b values in the linear solvent strength model can be the subject of modelling with their subsequent use in retention prediction. A workflow for HILIC can be based on the design of experiments approach, to account for all major contributors to the retention mechanism, and direct correlation of experimental retention times to the molecular descriptors.
The principal aim of this work was to provide a perspective with practical utility in streamlining the chromatographic method development in pharmaceutical industries based upon predicting the chromatographic retention times from molecular structures. Workflows were suggested with a focus on reversed-phase LC, IC, and HILIC as the three major techniques. Unlike HILIC, retention prediction in both reversed-phase LC and IC can benefit from the maturity of these techniques and the transparency of their retention mechanisms. In reversed-phase LC the solute coefficients in the hydrophobic subtraction model and in IC the a and b values in the linear solvent strength model can be the subject of modelling with their subsequent use in retention prediction. A workflow for HILIC can be based on the design of experiments approach, to account for all major contributors to the retention mechanism, and direct correlation of experimental retention times to the molecular descriptors.
The principal aim of this work was to provide a perspective with practical utility in streamlining the chromatographic method development in pharmaceutical industries based upon predicting the chromatographic retention times from molecular structures. Workflows were suggested with a focus on reversed-phase LC, IC, and HILIC as the three major techniques. Unlike HILIC, retention prediction in both reversed-phase LC and IC can benefit from the maturity of these techniques and the transparency of their retention mechanisms. In reversed-phase LC the solute coefficients in the hydrophobic subtraction model and in IC the a and b values in the linear solvent strength model can be the subject of modelling with their subsequent use in retention prediction. A workflow for HILIC can be based on the design of experiments approach, to account for all major contributors to the retention mechanism, and direct correlation of experimental retention times to the molecular descriptors.
The principal aim of this work was to provide a perspective with practical utility in streamlining the chromatographic method development in pharmaceutical industries based upon predicting the chromatographic retention times from molecular structures. Workflows were suggested with a focus on reversed-phase LC, IC, and HILIC as the three major techniques. Unlike HILIC, retention prediction in both reversed-phase LC and IC can benefit from the maturity of these techniques and the transparency of their retention mechanisms. In reversed-phase LC the solute coefficients in the hydrophobic subtraction model and in IC the a and b values in the linear solvent strength model can be the subject of modelling with their subsequent use in retention prediction. A workflow for HILIC can be based on the design of experiments approach, to account for all major contributors to the retention mechanism, and direct correlation of experimental retention times to the molecular descriptors.
The evaluation of the oral uptake of engineered nanoparticles (ENPs) contained in personal care products like mouthwashes is of great relevance to estimate the potential hazards and the toxicity of engineered nanomaterials (ENMs). Various experiments were performed while two commercially available mouthwash products (named M1 and M2) were selected as samples of interest. Asymmetric flow field‑flow fractionation (AF4) was chosen and optimized as the particle separation technique and two detectors were on-line coupled while dynamic light scattering (DLS) was used for evaluation and signals obtained by ultraviolet–visible (UV–vis) detection at 254 nm were used to gather additional information about the fate of the ENPs.
The evaluation of the oral uptake of engineered nanoparticles (ENPs) contained in personal care products like mouthwashes is of great relevance to estimate the potential hazards and the toxicity of engineered nanomaterials (ENMs). Various experiments were performed while two commercially available mouthwash products (named M1 and M2) were selected as samples of interest. Asymmetric flow field‑flow fractionation (AF4) was chosen and optimized as the particle separation technique and two detectors were on-line coupled while dynamic light scattering (DLS) was used for evaluation and signals obtained by ultraviolet–visible (UV–vis) detection at 254 nm were used to gather additional information about the fate of the ENPs.
The evaluation of the oral uptake of engineered nanoparticles (ENPs) contained in personal care products like mouthwashes is of great relevance to estimate the potential hazards and the toxicity of engineered nanomaterials (ENMs). Various experiments were performed while two commercially available mouthwash products (named M1 and M2) were selected as samples of interest. Asymmetric flow field‑flow fractionation (AF4) was chosen and optimized as the particle separation technique and two detectors were on-line coupled while dynamic light scattering (DLS) was used for evaluation and signals obtained by ultraviolet–visible (UV–vis) detection at 254 nm were used to gather additional information about the fate of the ENPs.
Hydrophilic 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.
New separation techniques for the analysis of polar and ionic analytes have aroused great interest in the field of metabolomics and environmental investigation in the past two decades. Hydrophilic interaction liquid chromatography (HILIC) is a promising tool to address this challenge. HILIC separation is based on the polarity of analytes, which generally show stronger retention with increasing polarity according to the HILIC separation mechanism. Furthermore, the high content of organic solvent in the mobile phase leads to good ionization properties in the electrospray ionization (ESI), and consequently enhances the detection sensitivity by hyphenated mass spectrometry (MS) detector.
This year, the ISC’s theme is “Imagine a world of Chromatography." Here, we will see conference attendees discuss a wide variety of disciplines where chromatography plays a crucial role.
Validation of this rapid bioanalytical method for the determination of moxidectin in cattle hair demonstrated that the method is accurate, reliable, and reproducible.
Validation of this rapid bioanalytical method for the determination of moxidectin in cattle hair demonstrated that the method is accurate, reliable, and reproducible.
This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection. This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection. This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection.
This application note details a GC-MS-based analytical method for the qualitative and quantitative determination of Irganox 1076 and 1010 in polyethylene.
Accelerated solvent extraction (ASE) is widely viewed as a better alternative to GC–MS when analyzing persistent organic pollutants (POPs). The authors explain why new technological developments offer many benefits and accelerate POP sample preparation processes.
The Diablo 5000A RTGA-MS allows the process stream to be seen in real-time and provides quantitative data with reliable mass information. The result is visualization.
This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection. This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection. This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection.
This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection. This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection. This work will demonstrate a simple methodology using automated solid-phase extraction (SPE) and HPLC coupled with mass spectrometric detection.