Gabriela A. Nogueira, Leandro dos Santos Silva, Mario H. Gonzalez, Milton A. Faria Neto, Thiago A. L. Burgo
{"title":"你的DES有多深?多组分混合物中理想共晶预测的数值框架","authors":"Gabriela A. Nogueira, Leandro dos Santos Silva, Mario H. Gonzalez, Milton A. Faria Neto, Thiago A. L. Burgo","doi":"10.1021/acs.jced.6c00332","DOIUrl":null,"url":null,"abstract":"<p>Here, we present\r\na simple and computationally efficient procedure\r\nto determine the eutectic temperatures of ideal binary, ternary, and\r\nhigher-order mixtures, providing a quantitative reference for evaluating\r\ndeep eutectic solvent (DES) behavior. In the DES literature, ternary\r\nsystems are often simplified as pseudo-binaries by fixing the molar\r\nratio of two components and varying only the third along a fixed-composition\r\nline (isopleth). Although this reduces the experimental effort, it\r\nrestricts <em>liquidus</em> mapping to a single compositional\r\npathway and may fail to identify the global ideal eutectic. In contrast,\r\nour implementation solves the classical ideal <em>liquidus</em> equations for all components, assuming Raoult-law ideality and pure,\r\nmutually immiscible solid phases. Using pure-component melting temperatures\r\nand molar fusion enthalpies, the method enables multidimensional <em>liquidus</em>-surface mapping. The root-finding implementation\r\nwas verified against analytical symmetric-mixture solutions, independent\r\n80-digit calculations, a MATLAB implementation, permutation tests,\r\n3,521 stress-test systems, and published benchmarks. All stress-test\r\nsystems converged, and published ideal eutectic temperatures were\r\nreproduced within 0.7 K. Application to literature-reported binary\r\nand ternary mixtures further showed that comparison with the global\r\nideal eutectic combines an apparent local thermal deviation with a\r\nnonnegative ideal-composition penalty. The framework therefore provides\r\na transparent and extensible ideal-equilibrium baseline for multicomponent\r\neutectic screening.</p>","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":"71 10","pages":"4156–4167"},"PeriodicalIF":2.4000,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How Deep is Your DES? A Numerical Framework for Ideal Eutectic Prediction in Multicomponent Mixtures\",\"authors\":\"Gabriela A. Nogueira, Leandro dos Santos Silva, Mario H. Gonzalez, Milton A. Faria Neto, Thiago A. L. Burgo\",\"doi\":\"10.1021/acs.jced.6c00332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Here, we present\\r\\na simple and computationally efficient procedure\\r\\nto determine the eutectic temperatures of ideal binary, ternary, and\\r\\nhigher-order mixtures, providing a quantitative reference for evaluating\\r\\ndeep eutectic solvent (DES) behavior. In the DES literature, ternary\\r\\nsystems are often simplified as pseudo-binaries by fixing the molar\\r\\nratio of two components and varying only the third along a fixed-composition\\r\\nline (isopleth). Although this reduces the experimental effort, it\\r\\nrestricts <em>liquidus</em> mapping to a single compositional\\r\\npathway and may fail to identify the global ideal eutectic. In contrast,\\r\\nour implementation solves the classical ideal <em>liquidus</em> equations for all components, assuming Raoult-law ideality and pure,\\r\\nmutually immiscible solid phases. Using pure-component melting temperatures\\r\\nand molar fusion enthalpies, the method enables multidimensional <em>liquidus</em>-surface mapping. The root-finding implementation\\r\\nwas verified against analytical symmetric-mixture solutions, independent\\r\\n80-digit calculations, a MATLAB implementation, permutation tests,\\r\\n3,521 stress-test systems, and published benchmarks. All stress-test\\r\\nsystems converged, and published ideal eutectic temperatures were\\r\\nreproduced within 0.7 K. Application to literature-reported binary\\r\\nand ternary mixtures further showed that comparison with the global\\r\\nideal eutectic combines an apparent local thermal deviation with a\\r\\nnonnegative ideal-composition penalty. 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How Deep is Your DES? A Numerical Framework for Ideal Eutectic Prediction in Multicomponent Mixtures
Here, we present
a simple and computationally efficient procedure
to determine the eutectic temperatures of ideal binary, ternary, and
higher-order mixtures, providing a quantitative reference for evaluating
deep eutectic solvent (DES) behavior. In the DES literature, ternary
systems are often simplified as pseudo-binaries by fixing the molar
ratio of two components and varying only the third along a fixed-composition
line (isopleth). Although this reduces the experimental effort, it
restricts liquidus mapping to a single compositional
pathway and may fail to identify the global ideal eutectic. In contrast,
our implementation solves the classical ideal liquidus equations for all components, assuming Raoult-law ideality and pure,
mutually immiscible solid phases. Using pure-component melting temperatures
and molar fusion enthalpies, the method enables multidimensional liquidus-surface mapping. The root-finding implementation
was verified against analytical symmetric-mixture solutions, independent
80-digit calculations, a MATLAB implementation, permutation tests,
3,521 stress-test systems, and published benchmarks. All stress-test
systems converged, and published ideal eutectic temperatures were
reproduced within 0.7 K. Application to literature-reported binary
and ternary mixtures further showed that comparison with the global
ideal eutectic combines an apparent local thermal deviation with a
nonnegative ideal-composition penalty. The framework therefore provides
a transparent and extensible ideal-equilibrium baseline for multicomponent
eutectic screening.
期刊介绍:
The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.