7575-33-9 Usage
Uses
Used in Pharmaceutical Industry:
2-chloro-3,3-diethoxyprop-1-ene is used as a key intermediate in the synthesis of various pharmaceuticals due to its reactive chemical structure, which allows for the development of a wide range of medicinal compounds.
Used in Pesticide Production:
In the agricultural sector, 2-chloro-3,3-diethoxyprop-1-ene serves as an intermediate in the production of pesticides, contributing to the creation of effective crop protection agents.
Used in Specialty Chemicals:
2-chloro-3.3-diethoxyprop-1-ene is also utilized in the synthesis of specialty chemicals, which are tailored for specific applications in various industries, such as coatings, adhesives, and sealants.
Used in Organic Synthesis:
2-chloro-3,3-diethoxyprop-1-ene is used as a solvent and intermediate in the synthesis of other organic compounds, including esters and ethers, which are essential in a multitude of chemical processes and products.
Safety Note:
Given its classification as a hazardous substance, 2-chloro-3,3-diethoxyprop-1-ene requires careful handling to prevent skin and eye irritation, as well as more severe health effects from ingestion or inhalation.
Check Digit Verification of cas no
The CAS Registry Mumber 7575-33-9 includes 7 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 4 digits, 7,5,7 and 5 respectively; the second part has 2 digits, 3 and 3 respectively.
Calculate Digit Verification of CAS Registry Number 7575-33:
(6*7)+(5*5)+(4*7)+(3*5)+(2*3)+(1*3)=119
119 % 10 = 9
So 7575-33-9 is a valid CAS Registry Number.
7575-33-9Relevant academic research and scientific papers
Multivariate optimization of a cyclopropanation, the key step in the synthesis of 3,3,4,4-tetraethoxybut-1-yne
Shang, Weidong,Terranova, Mariangela,Sydnes, Leiv K.,Bjorsvik, Hans-Rene
, p. 891 - 896 (2014/08/05)
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.
