BRAND / VENDOR: Agilent

Agilent, PP-372-1, Aroclor 1262

CATALOG NUMBER: PP-372-1

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Product Description

Aroclor 1262

Specifications:
Agency Method: EPA 8082A
Analysis Type: Quantitative
Chemical Type: Organic
Concentration: Aroclor 1262 (PCB 1262)100 µg/mLCAS #: 37324-23-5
Format: Single component mixture
Packaging: Ampule
Part Number Application Domain: EnvironmentalFood and Beverages
Part Number Application: Hydrocarbons & PetrochemicalsPolycyclic Aromatic Hydrocarbons (PAH)
Quality Standard: ISO 17034
Solvent: Isooctane
Volume: 1 mL

**********The following product description is generated by AI and is for reference only. If you have any questions, please contact customer service.**********
Aroclor 1262 is a high-purity polychlorinated biphenyl (PCB) mixture formulated for analytical and research applications. This reference standard is designed to support method development, instrument calibration, and quality assurance procedures in environmental, food safety, and industrial hygiene laboratories. It is particularly suitable for the quantification and identification of PCBs in environmental samples such as soil, water, and biological tissues, ensuring compliance with regulatory requirements. The solution exhibits batch-to-batch consistency and reliable concentration, providing confidence in trace analysis by GC-ECD, GC-MS, and HPLC systems. Its compatibility with Agilent chromatographic instruments and related sample preparation products allows seamless integration into existing workflows. This product is frequently utilized in academic and governmental research for the evaluation of pollutant distribution, persistence, and remediation effectiveness. Comprehensive documentation and traceability support accurate data reporting and result validation. Its stable formulation and secure packaging ensure minimal contamination risk and long-term storage capability. For optimal results, it is recommended to use this standard alongside other certified PCB mixtures and controls for comprehensive congener profiling and to enhance analytical reliability in complex matrices.

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