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41666-77-7

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41666-77-7 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 41666-77-7 includes 8 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 5 digits, 4,1,6,6 and 6 respectively; the second part has 2 digits, 7 and 7 respectively.
Calculate Digit Verification of CAS Registry Number 41666-77:
(7*4)+(6*1)+(5*6)+(4*6)+(3*6)+(2*7)+(1*7)=127
127 % 10 = 7
So 41666-77-7 is a valid CAS Registry Number.

41666-77-7SDS

SAFETY DATA SHEETS

According to Globally Harmonized System of Classification and Labelling of Chemicals (GHS) - Sixth revised edition

Version: 1.0

Creation Date: Aug 13, 2017

Revision Date: Aug 13, 2017

1.Identification

1.1 GHS Product identifier

Product name Platinum, (1,2-ethanediamine-N,N')(propanedioato(2-)-O,O')-, (SP-4-2)-

1.2 Other means of identification

Product number -
Other names 1,3-Cyclopentadiene,1-ethyl-,zirconium complex

1.3 Recommended use of the chemical and restrictions on use

Identified uses For industry use only.
Uses advised against no data available

1.4 Supplier's details

1.5 Emergency phone number

Emergency phone number -
Service hours Monday to Friday, 9am-5pm (Standard time zone: UTC/GMT +8 hours).

More Details:41666-77-7 SDS

41666-77-7Downstream Products

41666-77-7Relevant articles and documents

Molecular interaction fields vs. quantum-mechanical-based descriptors in the modelling of lipophilicity of platinum(iv) complexes

Ermondi, Giuseppe,Caron, Giulia,Ravera, Mauro,Gabano, Elisabetta,Bianco, Sabrina,Platts, James A.,Osella, Domenico

supporting information, p. 3482 - 3489 (2013/03/28)

We report QSAR calculations using VolSurf descriptors to model the lipophilicity of 53 Pt(iv) complexes with a diverse range of axial and equatorial ligands. Lipophilicity is measured using an efficient HPLC method. Previous models based on a subset of these data are shown to be inadequate, due to incompatibility of whole molecule descriptors between carboxylato and hydroxido ligands. Instead, the interaction surfaces of complexes with various probes are used as independent descriptors. Partial least squares modelling using three latent variables results in an accurate (R2 = 0.92) and robust model (Q2 = 0.87) of lipophilicity, that moreover highlights the importance of size and hydrophobicity terms and the modest relevance of hydrogen bonding.

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