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Increased thermal stability of the DB-5Q GC column with increased signal-to-noise for trace level concentrations of controlled substances results in improved quantitation of analytes.
Increased thermal stability leads to retention time stability and data accuracy for GC/MS analysis of pesticides with J&W DB-5Q and HP-5Q columns
Agilent J&W 5Q GC columns are designed for optimal analyte delivery, combining ultra inert performance with ultra low-bleed technology. The new gold standard for MS column reliability and productivity.
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Meet the smallest high-performance benchtop GC on the market: the Agilent 8850 GC.
Meet the Agilent 7010D GC/TQ with high-end robustness, ultratrace-level detection, and dedication to sustainability and transparency.
This application note establishes a process for identifying GC-amenable extractables and leachable compounds using GC/MSD and GC/Q-TOF instruments.
This application note describes two approaches for achieving robust, multiresidue pesticide analysis in 10 minutes by GC/MS/MS.
This application note presents the development and optimization of a multiresidue method for the analysis of pesticide residues in cinnamon powder.
This application note presents the development and optimization of a multiresidue method for the analysis of pesticide residues in cayenne pepper powder.
Keys to performance in analysis of 200 pesticides in challenging food matrices using sample preparation and Agilent 8890/7000E and 8890/7010C triple quadrupole GC/MS
A robust, specific, sensitive method was developed and validated for the quantitative analysis of tetrahydrocannabinol, cannabidiol, and cannabinol in human urine.
Lower your detection limits and quantify active analysts with confidence with Agilent Inert Flow Path solutions.
Intelligent and Configurable: Meet Your Analytical Needs Today and Tomorrow with the Agilent 8890 gas chromatography system.
This study demonstrates how unit resolution GC/MS workflow is employed for identifying GC-amenable E&L compounds by leveraging spectral deconvolution in combination with retention index-based time filtering.