BRAND / VENDOR: Agilent

Agilent, 5190-8569, Copper (Cu) standard, 10 µg/mL, in 2% HNO3, 100 mL

CATALOG NUMBER: 5190-8569

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Product Description

Copper (Cu) standard, 10 µg/mL, in 2% HNO3, 100 mL

Specifications:
Analyte Count: 1
Chemical Type: Inorganic
Concentration: Copper10 µg/mLCAS #: 7440-50-8
Packaging: Bottle
Part Number Application: Single Element
Part Number Application Domain: Elemental Analysis
Solvent: 2% Nitric acid
Technique: ICP-MS
UNSPSC Code: 41116107
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 high-purity copper standard solution is designed to deliver accurate and reliable calibration for a wide range of analytical instruments. Manufactured at a concentration of 10 micrograms per milliliter in 2 percent nitric acid, this 100 milliliter reference standard is ideal for quantitative analysis methods such as ICP-OES, ICP-MS, and AAS. Laboratories conducting environmental testing, food safety assessments, clinical research, or pharmaceutical quality control can trust this solution to ensure traceability and reproducibility in copper determinations. The formulation guarantees minimal contamination and consistent matrix compatibility, supporting precise instrument calibration and validation processes. Compatible with Agilent’s full range of atomic spectroscopy systems, it also integrates seamlessly with other industry-leading platforms. This copper standard meets rigorous quality standards, making it suitable for use in regulated environments. Its convenient packaging minimizes waste and risk of evaporation, ensuring product integrity throughout its shelf life. For comprehensive multi-element analysis, this product can be used alongside other certified standards from Agilent’s extensive portfolio. Whether preparing calibration curves, performing routine quality checks, or validating new methods, this solution allows researchers and analysts to achieve high-confidence results in copper quantification across diverse sample matrices.

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