Combined nuclear magnetic resonance methods in quality control of lubricants in green energy production.
Thomas RudszuckHermann NirschlGisela GuthausenPublished in: Magnetic resonance in chemistry : MRC (2023)
NMR methods were applied for lubricant analysis. Different factors influence the real aging of lubricants on diverse length scales and are captured by NMR. Chemical conversion of additives is addressed by NMR spectroscopy. High-field NMR experiments allow the identification and quantification of chemical components and are transferred to benchtop devices. Molecular dynamics and contaminations like fuel or abrasion are addressed via NMR relaxation and diffusion. Quality parameters were extracted via suitable data analysis of NMR raw data, which allow the detection of aging and indicate changes in the oil composition. At the same time, the methodology is optimized to the conditions in quality control. The feasibility is shown the example of a series of lubricants from applications in regenerative energy production, namely, wind turbine oils and biogas motor oils.
Keyphrases
- magnetic resonance
- quality control
- molecular dynamics
- solid state
- high resolution
- stem cells
- electronic health record
- contrast enhanced
- big data
- density functional theory
- magnetic resonance imaging
- ionic liquid
- computed tomography
- bone marrow
- machine learning
- mass spectrometry
- heavy metals
- risk assessment
- real time pcr
- quantum dots