Flash Point Prediction in Organic Mixtures
Summary
The flash point of a liquid mixture denotes the lowest temperature at which it emits sufficient vapour to ignite in the presence of an ignition source. In multicomponent systems, mutual interactions between constituents give rise to non-ideal behaviour that can either depress or elevate the flash point relative to pure components. Accurate prediction of flash points is vital for safe handling, storage and transport of fuels, lubricants and chemical intermediates, as well as for compliance with international safety regulations. Traditional experimental determination by closed-cup or Pensky-Martens apparatus remains the benchmark, but it is time-consuming and limited by sample availability. Computational approaches have thus gained prominence, ranging from empirical correlations and group-contribution methods to thermodynamic activity-coefficient models (such as UNIFAC, NRTL and COSMO-RS), quantitative structure–property relationships and machine-learning algorithms. Recent advances have focused on high-throughput prediction, improving accuracy for biofuels and aviation-fuel blends, and extending models to polar and hydrogen-bonding systems. Globally, refined predictive tools underpin risk assessments in process industries, inform design of safer solvent formulations and support the transition towards renewable fuel blends without compromising fire safety standards.
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Flash Point Prediction in Organic Mixtures publication trend
The graph below shows the total number of articles in flash point prediction in organic mixtures across all publications each year (not limited to Nature Index journals).
Technical terms
Flash point: The minimum temperature at which vapour above a liquid can form an ignitable mixture with air.
Binary mixture: A system composed of two distinct chemical constituents.
Ternary mixture: A system composed of three distinct chemical constituents.
Non-ideal behaviour: Deviation from Raoult’s law in mixtures due to molecular interactions.
Activity-coefficient model: A thermodynamic model that quantifies non-ideal interactions in liquid mixtures.
Synergistic effect: A phenomenon in which combined components produce a flash point lower than any individual component.
References
- Flash point of biodiesel/glycerol/alcohol mixtures for safe processing and storage. Journal of Loss Prevention in the Process Industries (2023).
- Flash point of binary and ternary mixture of biojet blends: Experimental data and modeling. Fluid Phase Equilibria (2024).
- Prediction of the Flash Point of Binary and Ternary Straight‐Chain Alkane Mixtures. Advances in Materials Science and Engineering (2014).
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