10297-72-0

Basic information

• Product Name: Propyl sorbate
• Synonyms: Propyl sorbate
• CAS NO: 10297-72-0
• Molecular Formula: C₉H₁₄O₂
• Molecular Weight: 154.21
• Mol File: 10297-72-0.mol
• Article Data: 4

Chemical Properties

• Boiling Point: 206.2°Cat760mmHg
• Flash Point: 86.4°C
• Appearance: /
• Density: 0.918g/cm³
• Vapor Pressure: 0.24mmHg at 25°C
• Refractive Index: 1.456
• CAS DataBase Reference: Propyl sorbate(CAS DataBase Reference)
• NIST Chemistry Reference: Propyl sorbate(10297-72-0)
• EPA Substance Registry System: Propyl sorbate(10297-72-0)

Safety Data

• Hazardous Substances Data: 10297-72-0(Hazardous Substances Data)

Usage

General Description

Propyl sorbate, also known as octanoic acid in its salt form, is a food preservative commonly used to inhibit the growth of mold and yeast in various food products. It is a derivative of sorbic acid and is typically used in low concentrations to extend the shelf life of foods, such as baked goods, dairy products, and dressings. Propyl sorbate is considered safe for consumption by regulatory agencies such as the FDA and is generally well-tolerated by most individuals. However, some people may have sensitivities or allergies to this preservative, so it is important to monitor for any adverse reactions when consuming products containing propyl sorbate.

InChI:InChI=1/C9H14O2/c1-3-5-6-7-9(10)11-8-4-2/h3,5-7H,4,8H2,1-2H3/b5-3+,7-6+

Upstream product

• 71-23-8 propan-1-ol 
• 2614-88-2 sorbinyl chloride 
• 2396-84-1 (2E,4E)-ethyl hexa-2,4-dienoate 
• 110-44-1 sorbic Acid 

Relevant articles and documents

New eutectic ionic liquids for lipase activation and enzymatic preparation of biodiesel

The enzymatic preparation of biodiesel has been hampered by the lack of suitable solvents with desirable properties such as high lipase compatibility, low cost, low viscosity, high biodegradability, and ease of product separation. Recent interest in using ionic liquids (ILs) as advanced reaction media has led to fast reaction rates and high yields in the enzymatic synthesis of biodiesel. However, conventional (i.e., cation-anion paired) ILs based on imidazolium and other quaternary ammonium salts remain too expensive for wide application at industrial scales. In this study, we report on newly-synthesized eutectic ILs derived from choline acetate or choline chloride coupled with biocompatible hydrogen-bond donors, such as glycerol. These eutectic solvents have favorable properties including low viscosity, high biodegradability, and excellent compatibility with Novozym 435, a commercial immobilized Candida antarctica lipase B. Furthermore, in a model biodiesel synthesis system, we demonstrate high reaction rates for the enzymatic transesterification of Miglyol oil 812 with methanol, catalyzed by Novozym 435 in choline acetate/glycerol (1:1.5 molar ratio). The high conversion (97%) of the triglyceride obtained within 3 h, under optimal conditions, suggests that these novel eutectic solvents warrant further exploration as potential media in the enzymatic production of biodiesel.

Quantitative structure-activity relationship studies for prediction of antimicrobial activity of synthesized 2,4-hexadienoic acid derivatives

A new series of 2,4-hexadienoic acid derivatives (S1-S42) has been synthesized and evaluated as antimicrobial agents against Staphylococcus aureus, Bacillus subtilis, Escherichia coli, Candida albicans, and Aspergillus niger. Quantitative structure-activity relationship (QSAR) investigation using Hansch analysis was applied to find out correlation between antimicrobial activities with physicochemical properties of the synthesized compounds. Various physicochemical descriptors and experimentally determined minimum inhibitory concentration values for different microorganisms were used as independent and dependent variables, respectively. The QSAR revealed that topological parameters especially molecular connectivity indices (χ2, 0χv, 2χv) were found to have overall significant correlation with antimicrobial activity of 2,4-hexadienoic acid derivatives. The statistical results of training set, cross-validated r2 and conventional r values gave reliability to the prediction of molecules with activity using QSAR models.