Potency Testing in Cannabis Extracts Using a High Resolution Method with the Cannabis Analyzer for Potency
Applications
| 2017 | Shimadzu
HPLC
Instrumentation
HPLC
Manufacturer
Shimadzu
Industries
Food & Agriculture
High-Speed and High Sensitivity Analysis of Active Ingredients in Mouthwash
Applications
| 2023 | Shimadzu
HPLC
Instrumentation
HPLC
Manufacturer
Shimadzu
Industries
Energy & Chemicals
Potency Testing in Cannabis Extracts Using a High Throughput Method with the Cannabis Analyzer for Potency
Applications
| 2017 | Shimadzu
HPLC
Instrumentation
HPLC
Manufacturer
Shimadzu
Industries
Food & Agriculture
Potency Testing in Cannabis Extracts Using a High Sensitivity Method with the Cannabis Analyzer for Potency
Applications
| 2017 | Shimadzu
HPLC
Instrumentation
HPLC
Manufacturer
Shimadzu
Industries
Food & Agriculture
Usability Enhancements to the LabSolutions Manual Integration Function
Technical notes
| 2016 | Shimadzu
Software
Instrumentation
Software
Manufacturer
Shimadzu
Industries
Rapid, Sensitive and Direct Quantitation of Tiotropium at sub-pg/mL in Plasma using Shimadzu LCMS-8060
Applications
| 2023 | Shimadzu
LC/MS, LC/MS/MS, LC/QQQ
Instrumentation
LC/MS, LC/MS/MS, LC/QQQ
Manufacturer
Shimadzu
Industries
Clinical Research
Quantitative toxicology screening for over 1000 compounds in whole blood samples; is there a better way of reporting results?
Posters
| 2017 | Shimadzu (MSACL)
LC/MS, LC/MS/MS, LC/QQQ
Instrumentation
LC/MS, LC/MS/MS, LC/QQQ
Manufacturer
Shimadzu
Industries
Forensics
Analysis of Wines Using LCMS™-8060NX Triple Quadrupole Mass Spectrometer (Part 2)
Applications
| 2021 | Shimadzu
LC/MS, LC/MS/MS, LC/QQQ
Instrumentation
LC/MS, LC/MS/MS, LC/QQQ
Manufacturer
Shimadzu
Industries
Food & Agriculture
LCMS Bioanalysis of Antibody Drugs Using Fabselective Proteolysis "nSMOL Method" - Part 6 - Improvement of Reaction Conditions for Automated Analyses -
Applications
| 2018 | Shimadzu
LC/MS, LC/MS/MS, LC/QQQ
Instrumentation
LC/MS, LC/MS/MS, LC/QQQ
Manufacturer
Shimadzu
Industries
Clinical Research
Efficient Peak Integration for Metabolomics data Using Peakintelligence