5975c mass selective detector
The 5975C Mass Selective Detector is a laboratory instrument designed for the analysis and identification of chemical compounds. It functions by ionizing and separating molecules based on their mass-to-charge ratio, providing detailed information about the composition of a sample.
Lab products found in correlation
42 protocols using 5975c mass selective detector
Volatile Organic Compound Analysis by GC-MS
Determination of Endocrine Disruptors and Pharmaceuticals in Wastewater and Sludge
Quantitative Analysis of PCBs in Sediments
The separation, identification, and quantification of PCBs in water and sediments were performed using gas chromatography coupled with mass spectrometry (7890 gas chromatograph (GC) coupled with a 5975C mass selective detector (MSD), Agilent Technologies Inc., Palo Alto, CA, USA). The system is based on a chromatographic separation based on retention time and peak intensity, coupled with compound identification based on molecule ionization, which breaks them into fragments. The mass of the resulting fragments is specific for each molecule and can be used to identify the chemical. The MS was operated in the selected ion-monitoring (SIM) mode. The mass spectra were compared to the reference libraries of known compounds to be identified.
Quantitative Analysis of PCBs in Sediments
The separation, identification, and quantification of PCBs in water and sediments were performed using gas chromatography coupled with mass spectrometry (7890 gas chromatograph (GC) coupled with a 5975C mass selective detector (MSD), Agilent Technologies Inc., Palo Alto, CA, USA). The system is based on a chromatographic separation based on retention time and peak intensity, coupled with compound identification based on molecule ionization, which breaks them into fragments. The mass of the resulting fragments is specific for each molecule and can be used to identify the chemical. The MS was operated in the selected ion-monitoring (SIM) mode. The mass spectra were compared to the reference libraries of known compounds to be identified.
Glycosyl Composition Analysis by GC-MS
Plasma and Tissue Metabolite Analysis
GC-MS Analysis of Aqueous Mulberry Extract
Metabolite Extraction and GC-MS Analysis
GC-MS Analysis of Fatty Acid Methyl Esters
GC-MS Analysis of Tumor Metabolites
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