Application Notes: LC

LCGC Europe

A CHIRALPAK IG column (immobilized meta selector) was used to develop the enantioselective separation of methylclothiazide. Meta-substituted immobilized chiral selectors have been shown to have remarkable affinity for resolution of chiral compounds from different types of molecules.

LCGC North America

A CHIRALPAK IG column (immobilized meta selector) was used to develop the enantioselective separation of methylclothiazide. Meta-substituted immobilized chiral selectors have been shown to have remarkable affinity for resolution of chiral compounds from different types of molecules.

LCGC Europe

exposure to MOHs (Mineral Oil Hydrocarbons) via packaging could contribute significantly to the total exposure to these contaminants and may pose a human health hazard. In the present work, migration of MOHs and DIPN from recycled paperboard boxes in direct contact with dry pasta (both semolina and egg pasta) has been monitored during shelf life at regular times (up to two years).

LCGC Europe

This application note describes the use of ISOLUTE SLE+ for extraction of estrone (E1) and estradiol (E2) from human serum. Analysis is performed by an HPLC-MS/MS method that gives limits of detection of 0.001 ng/mL without derivatization or fluoride adduct stabilization. ISOLUTE SLE+ products provides high analyte recoveries, no emulsion formation and significantly reduced sample preparation time compared to traditional liquid-liquid extraction.

LCGC Europe

A CHIRALPAK IG column (immobilized meta selector) was used to develop the enantioselective separation of methylclothiazide. Meta-substituted immobilized chiral selectors have been shown to have remarkable affinity for resolution of chiral compounds from different types of molecules.

LCGC Europe

11-nor-9-Carboxy-THC, also known as THCA or carboxy-THC, is the main secondary metabolite of THC (the active component of marijuana) formed in the human body [1]. THCA is excreted in urine in the form of glucuronide conjugates. THCA is not psychoactive but has a long half-life of up to several days or even weeks in very heavy users, thus determination of THCA in urine plays an important role in confirmation of marijuana consumption. The Substance Abuse and Mental Health Services Administration (SAMHSA) has set the THCA cutoff concentration of confirmatory testing at 15 ng/mL. Typical sample preparation methods for THCA in urine include liquid-liquid extraction (LLE) and solid phase extraction (SPE). This application utilizes a novel sample preparation technique, QuEChERS to effectively quantitate THCA levels in human urine.

LCGC North America

Cannabinoids are successfully extracted from a complex brownie matrix using the QuEChERS sample preparation technique, significantly reducing the presence of matrix interferences. The resulting clean samples are analyzed by GC–MS using a specialized deactivated GC column to provide heightened peaks for the cannabinoid compounds.

LCGC North America

EPA Method 625 is greatly simplified by using solid phase extraction (SPE) as an alternative to traditional liquid-liquid extraction (LLE). Using this SPE technique, paired with a sensitive GC–MS analysis, increases throughput and data quality, while decreasing manual labor and solvent usage.

LCGC Europe

Cannabinoids are successfully extracted from a complex brownie matrix using the QuEChERS sample preparation technique, significantly reducing the presence of matrix interferences. The resulting clean samples are analyzed by GC–MS using a specialized deactivated GC column to provide heightened peaks for the cannabinoid compounds.

LCGC Europe

Improving and optimizing EPA Method 593 using solid phase extraction (SPE) enhances sensitivity and maximizes efficiency while screening by LC–MS-MS for different female birth control hormones present in drinking and waste water.

LCGC Europe

EPA Method 625 is greatly simplified by using solid phase extraction (SPE) as an alternative to traditional liquid-liquid extraction (LLE). Using this SPE technique, paired with a sensitive GC–MS analysis, increases throughput and data quality, while decreasing manual labor and solvent usage.