7575-33-9

Basic information

• Product Name: 2-chloro-3.3-diethoxyprop-1-ene
• Synonyms: 2-chloro-3.3-diethoxyprop-1-ene
• CAS NO: 7575-33-9
• Molecular Formula: C7H13ClO2
• Molecular Weight: 164.63
• Mol File: 7575-33-9.mol
• Article Data: 2

Chemical Properties

• Appearance: /
• CAS DataBase Reference: 2-chloro-3.3-diethoxyprop-1-ene(CAS DataBase Reference)
• NIST Chemistry Reference: 2-chloro-3.3-diethoxyprop-1-ene(7575-33-9)
• EPA Substance Registry System: 2-chloro-3.3-diethoxyprop-1-ene(7575-33-9)

Safety Data

• Hazardous Substances Data: 7575-33-9(Hazardous Substances Data)

Usage

General Description

2-chloro-3,3-diethoxyprop-1-ene is a chemical compound with the molecular formula C7H13ClO2. It is a clear, colorless liquid that is used as a solvent and intermediate in organic synthesis. 2-chloro-3.3-diethoxyprop-1-ene is primarily used in the production of pharmaceuticals, pesticides, and other specialty chemicals. It is also used in the synthesis of other organic compounds, such as esters and ethers. 2-chloro-3,3-diethoxyprop-1-ene is considered to be a hazardous substance and should be handled with care due to its potential for skin and eye irritation and its harmful effects if ingested or inhaled.

Upstream product

• 64-17-5 ethanol 
• 7363-99-7 1,1-dichloro-2-ethoxycyclopropane 
• 141-52-6 sodium ethanolate 
• 4894-46-6 2-chloro-3-(2-chloro-ethoxy)-3-ethoxy-propene 

Relevant articles and documents

Multivariate optimization of a cyclopropanation, the key step in the synthesis of 3,3,4,4-tetraethoxybut-1-yne

3,3,4,4-Tetraethoxybut-1-yne (TEB) is a versatile synthon that can be produced in a four-step synthesis. The third step of the synthesis is a cycloproanation, which has been thoroughly investigated and optimized by means of statistical experimental design and multivariate modeling. At the outset, an exhaustively pre-experimental design was performed resulting in a copious Ishikawa cause-effect diagram. In total six of the experimental variables were assessed to be of large importance and thus selected for further investigation by fractional factorial design. The results of that screening and first step optimization formed the basis for a response surface modeling (RSM) study. The RSM investigation was completed by using a central composite design from which a response surface was graphically produced as an iso-contour projection. The derived multivariate predictive model in terms the iso-contour projection plots were ultimately utilized to establish experimental conditions that concomitantly provided excellent yield (>99%) and minimized amounts of inputs and thus obtain the desired product at the lowest production cost and minimized side-streams.