Agilent, 5190-8350, Dysprosium (Dy) standard, 1,000 µg/mL, in 5% HNO3, 100 mL

Dysprosium (Dy) standard, 1,000 µg/mL, in 5% HNO3, 100 mL

Specifications:
Analyte Count: 1
Chemical Type: Inorganic
Concentration: Dysprosium oxide (ICP grade) (as dysprosium)1000 µg/mLCAS #: 1308-87-8
Packaging: Bottle
Part Number Application: Single Element
Part Number Application Domain: Elemental Analysis
Solvent: 5% Nitric acid
Standard Type: Dysprosium (Dy)
Technique: ICP-OES
UNSPSC Code: 41113000
Volume: 100 mL

**********The following product description is generated by AI and is for reference only. If you have any questions, please contact customer service.**********
This certified reference standard provides a highly accurate concentration of dysprosium at 1,000 micrograms per milliliter in a 5 percent nitric acid matrix, supplied in a 100 milliliter bottle. It is specifically formulated for trace elemental analysis and routinely used in method calibration, instrument performance validation, and quality assurance for atomic absorption spectroscopy (AAS), inductively coupled plasma optical emission spectrometry (ICP-OES), and ICP mass spectrometry (ICP-MS). Ideal for environmental, geological, and material science laboratories, this standard supports compliance with stringent regulatory methods and ensures reproducible quantification of dysprosium in complex sample matrices. Each lot is produced under rigorous quality control to guarantee consistency and traceability to international standards. The solution is ready to use and minimizes preparation errors, making it suitable for high-throughput laboratories seeking greater efficiency and reliability in elemental analysis workflows. For multi-element calibration, it is compatible with other single- or multi-element standards provided by Agilent, facilitating seamless method development and comprehensive elemental profiling. This product integrates effortlessly with Agilent’s full range of atomic spectroscopy instruments, including ICP-MS and ICP-OES systems, helping laboratories maintain optimal performance in routine and research applications.