This week 5 webinars: Scratch Test Techniques, FTIR & Microorganisms, LDIR & microplastics, Batteries & ICP-OES, Tips and Tricks on ICP-OES.
Mo, 17.2.2025
LabRulez
Article | Application
News from LabRulezICPMS Library - Week 7, 2025
This week we bring you Application notes by Shimadzu, Agilent Technologies and Thermo Fisher Scientific!
We, 12.2.2025
LabRulez
Scientific article | Science and research
Optical Microscopy and Deep Learning for Absolute Quantification of Nanoparticles on a Macroscopic Scale and Estimating Their Number Concentration
This study presents the evaporated volume analysis (EVA) method for accurately estimating nanoparticle concentration using optical microscopy and AI-based counting.
This week we bring you Technical notes by Shimadzu, Agilent Technologies and Thermo Fisher Scientific!
We, 5.2.2025
LabRulez
Article | Webinars
Webinars LabRulezICPMS Week 6/2025
This week 7 webinars: pH measurment, AAS & MW & ICP, Scratch Measurement, Atomic Spectroscopy, Data Integrity, hallenging ICP-OES Applications.
Mo, 3.2.2025
LabRulez
Scientific article | Various
Synthesis and absolute configuration of cyclic synthetic cathinones derived from α-tetralone
The goal of this study is to design, synthesize, and characterize novel cyclic α-tetralone-based synthetic cathinones and determine their absolute configurations.
Tu, 28.1.2025
LabRulez
Article | Webinars
Webinars LabRulezICPMS Week 5/2025
This week 6 webinars: Handheld FTIR, Testing of Balances and Scales, Food & NMR, Fats and oils extractions, Tg, DSC, TMA and DMA, Precision Analysis & ICP-OES.
Mo, 27.1.2025
LabRulez
Article | Application
News from LabRulezICPMS Library - Week 4, 2025
This week we bring you applications by Shimadzu, Agilent Technologies and Thermo Fisher Scientific!
We, 22.1.2025
LabRulez
Scientific article | Various
Personalized Profiling of Lipoprotein and Lipid Metabolism Based on 1018 Measures from Combined Quantitative NMR and LC-MS/MS Platforms
The goal of this study is to integrate and analyze large-scale lipoprotein and lipidomics data for understanding molecular epidemiology and cardiometabolic risk.