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Acc Chem Res. 2017 Jul 18;50(7):1597-1605. doi: 10.1021/acs.accounts.6b00607. Epub 2017 Jun 23.
Equilibrium fractionation of stable isotopes is critically important in fields ranging from chemistry, including medicinal chemistry, electrochemistry, geochemistry, and nuclear chemistry, to environmental science. The dearth of reliable estimates of equilibrium fractionation factors, from experiment or from natural observations, has created a need for accurate computational approaches. Because isotope fractionation is a purely quantum mechanical phenomenon, exact calculation of fractionation factors is nontrivial. Consequently, a severe approximation is often made, in which it is assumed that the system can be decomposed into a set of independent harmonic oscillators. Reliance on this often crude approximation is one of the primary reasons that theoretical prediction of isotope fractionation has lagged behind experiment. A class of problems for which one might expect the harmonic approximation to perform most poorly is the isotopic fractionation between solid and solution phases. In order to illustrate the errors associated with the harmonic approximation, we have considered the fractionation of Li isotopes between aqueous solution and phyllosilicate minerals, where we find that the harmonic approximation overestimates isotope fractionation factors by as much as 30% at 25 °C. Lithium is a particularly interesting species to examine, as natural lithium isotope signatures provide information about hydrothermal processes, carbon cycle, and regulation of the Earth's climate by continental alteration. Further, separation of lithium isotopes is of growing interest in the nuclear industry due to a need for pure Li and Li isotopes. Moving beyond the harmonic approximation entails performing exact quantum calculations, which can be achieved using the Feynman path integral formulation of quantum statistical mechanics. In the path integral approach, a system of quantum particles is represented as a set of classical-like ring-polymer chains, whose interparticle interactions are determined by the rules of quantum mechanics. Because a classical isomorphism exists between the true quantum system and the system of ring-polymers, classical-like methods can be applied. Recent developments of efficient path integral approaches for the exact calculation of isotope fractionation now allow the case of the aforementioned dissolved Li fractionation properties to be studied in detail. Applying this technique, we find that the calculations yield results that are in good agreement with both experimental data and natural observations. Importantly, path integral methods, being fully atomistic, allow us to identify the origins of anharmonic effects and to make reliable predictions at temperatures that are experimentally inaccessible yet are, nevertheless, relevant for natural phenomena.
稳定同位素的平衡分馏在化学领域(包括药物化学、电化学、地球化学和核化学)以及环境科学中都具有至关重要的意义。由于缺乏可靠的平衡分馏因子的实验或自然观测估计值,因此需要精确的计算方法。由于同位素分馏是一种纯粹的量子力学现象,因此精确计算分馏因子并非易事。因此,通常会进行严重的近似处理,假设系统可以分解为一组独立的谐振子。对这种经常使用的粗糙近似的依赖是理论预测同位素分馏落后于实验的主要原因之一。人们可能期望谐波近似表现最差的一类问题是固相与溶液相之间的同位素分馏。为了说明与谐波近似相关的误差,我们考虑了水溶液和层状硅酸盐矿物之间的锂同位素分馏,发现该谐波近似在 25°C 时高估了同位素分馏因子高达 30%。锂是一种特别有趣的研究物种,因为天然锂同位素特征提供了有关热液过程、碳循环以及大陆变化对地球气候的调节的信息。此外,由于对纯锂和锂同位素的需求,锂同位素的分离在核工业中越来越受到关注。超越谐波近似需要进行精确的量子计算,这可以通过使用费曼路径积分量子统计力学来实现。在路径积分方法中,量子粒子系统表示为一组类经典的环聚合物链,其粒子间相互作用由量子力学规则确定。由于真实量子系统与环聚合物系统之间存在经典同构,因此可以应用类经典方法。最近,用于精确计算同位素分馏的高效路径积分方法的发展使得可以详细研究上述溶解锂分馏特性的情况。应用该技术,我们发现计算结果与实验数据和自然观测结果非常吻合。重要的是,路径积分方法是完全原子化的,它使我们能够确定非谐效应的起源,并对实验不可及但对自然现象仍然相关的温度做出可靠预测。