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Sku CI23246_1_KG
Chem Impex
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Product Information

Product Name
1-(Diphenylmethyl)piperazine
Brand Name
Chem Impex
Product Number
23246
CAS
841-77-0
Certificate of Analysis (COA)​
COA not found

General Information

PubChem CID
70048
IUPAC Name
1-benzhydrylpiperazine
InChI Key
NWVNXDKZIQLBNM-UHFFFAOYSA-N
SMILES
C1CN(CCN1)C(C2=CC=CC=C2)C3=CC=CC=C3

Description

1-(Diphenylmethyl)piperazine is widely utilized in research focused on:

Pharmaceutical Development: This compound serves as a key intermediate in the synthesis of various pharmaceuticals, particularly in developing drugs targeting the central nervous system.

Neuroscience Research: It is employed in studies investigating neurotransmitter systems, helping researchers understand the mechanisms of action for potential treatments of neurological disorders.

Analytical Chemistry: The compound is used as a standard in chromatography, aiding in the accurate analysis of complex mixtures in various samples.

Material Science: It finds applications in creating novel polymers and materials, enhancing properties like durability and thermal stability.

Cosmetic Formulations: Due to its stability and compatibility, it is included in cosmetic products to improve texture and performance, making formulations more appealing to consumers.

References Data Source From Pubchem

S73 | METXBIODB | Metabolite Reaction Database from BioTransformer

Publication Date: 2026
DOI: 10.5281/zenodo.4056560

S113 | SWISSPHARMA24 | 2024 Swiss Pharmaceutical List with Metabolites

Publication Date: 2026
DOI: 10.5281/zenodo.10501043

Recent advances in piperazine derivatives as antibacterial agents: a comprehensive review (2020–2024)

Publication Name: Molecular Diversity
Publication Date: 2025-08-04
DOI: 10.1007/s11030-025-11311-6

How Wastewater Reflects Human Metabolism─Suspect Screening of Pharmaceutical Metabolites in Wastewater Influent

Publication Name: Environmental Science & Technology
Publication Date: 2024-05-24
DOI: 10.1021/acs.est.4c00968

Tandem mass spectrum prediction for small molecules using graph transformers

Publication Name: Nature Machine Intelligence
Publication Date: 2024-04-05
DOI: 10.1038/s42256-024-00816-8