Nanomaterial Characterization in Complex Media-Guidance and Application.
Yves Uwe HachenbergerDaniel RosenkranzCharlotte KromerBenjamin Christoph KrauseNadine DreiackFabian Lukas KriegelEkaterina Koz'menkoHarald JungnickelJutta TentschertFrank Stefan BierkandtPeter LauxUlrich PanneAndreas LuchPublished in: Nanomaterials (Basel, Switzerland) (2023)
A broad range of inorganic nanoparticles (NPs) and their dissolved ions possess a possible toxicological risk for human health and the environment. Reliable and robust measurements of dissolution effects may be influenced by the sample matrix, which challenges the analytical method of choice. In this study, CuO NPs were investigated in several dissolution experiments. Two analytical techniques (dynamic light scattering (DLS) and inductively-coupled plasma mass spectrometry (ICP-MS)) were used to characterize NPs (size distribution curves) time-dependently in different complex matrices (e.g., artificial lung lining fluids and cell culture media). The advantages and challenges of each analytical approach are evaluated and discussed. Additionally, a direct-injection single particle (DI sp)ICP-MS technique for assessing the size distribution curve of the dissolved particles was developed and evaluated. The DI technique provides a sensitive response even at low concentrations without any dilution of the complex sample matrix. These experiments were further enhanced with an automated data evaluation procedure to objectively distinguish between ionic and NP events. With this approach, a fast and reproducible determination of inorganic NPs and ionic backgrounds can be achieved. This study can serve as guidance when choosing the optimal analytical method for NP characterization and for the determination of the origin of an adverse effect in NP toxicity.
Keyphrases
- mass spectrometry
- liquid chromatography
- human health
- oxide nanoparticles
- risk assessment
- multiple sclerosis
- solid phase extraction
- tandem mass spectrometry
- capillary electrophoresis
- high performance liquid chromatography
- oxidative stress
- machine learning
- ionic liquid
- organic matter
- climate change
- escherichia coli
- gas chromatography
- high resolution
- minimally invasive
- physical activity
- big data
- biofilm formation
- electronic health record
- staphylococcus aureus
- quantum dots
- water soluble
- single molecule
- candida albicans
- clinical evaluation
- decision making