Department of Horticultural Science and the Microbial and Plant Genomics Institute, University of Minnesota, 1970 Folwell Avenue, St. Paul, MN 55108, USA.
J Chromatogr A. 2012 Nov 9;1263:179-88. doi: 10.1016/j.chroma.2012.09.048. Epub 2012 Sep 23.
Linear retention indices are commonly used to identify compounds in programmed-temperature gas chromatography (GC), but they are unreliable unless the original experimental conditions used to measure them are stringently reproduced. However, differences in many experimental conditions may be properly taken into account by calculating programmed-temperature retention times of compounds from their measured isothermal retention vs. temperature relationships. We call this approach "retention projection". Until now, retention projection has been impractical because it required very precise, meticulous measurement of the temperature vs. time and hold-up time vs. temperature profiles actually produced by a specific GC instrument to be accurate. Here we present a new, easy-to-use methodology to precisely measure those profiles: we spike a sample with 25 n-alkanes and use their measured, programmed-temperature retention times to precisely back-calculate what the instrument profiles must have been. Then, when we use those back-calculated profiles to project retention times of 63 chemically diverse compounds, we found that the projections are extremely accurate (e.g. to ±0.9 s in a 40 min ramp). They remained accurate with different temperature programs, GC instruments, inlet pressures, flow rates, and with columns taken from different batches of stationary phase while the accuracy of retention indices became worse the more the experimental conditions were changed from the original ones used to measure them. We also developed new, open-source software (http://www.retentionprediction.org/gc) to demonstrate the system.
线性保留指数常用于程序升温气相色谱(GC)中鉴定化合物,但除非严格重现测量它们的原始实验条件,否则它们是不可靠的。然而,通过从化合物的实测等温保留与温度关系计算程序升温保留时间,可以适当考虑许多实验条件的差异。我们称这种方法为“保留预测”。到目前为止,保留预测一直不太可行,因为它需要非常精确、细致地测量特定 GC 仪器实际产生的温度与时间曲线和保留时间与温度曲线,以确保准确性。在这里,我们提出了一种新的、易于使用的方法来精确测量这些曲线:我们在样品中加入 25 个正构烷烃,并使用它们测量的程序升温保留时间,精确反算仪器曲线必须是什么样的。然后,当我们使用这些反算的曲线来预测 63 种化学性质不同的化合物的保留时间时,我们发现预测非常准确(例如,在 40 分钟的升温过程中,误差为±0.9 秒)。它们在不同的温度程序、GC 仪器、进样口压力、流速以及从不同批次的固定相柱中都保持准确,而保留指数的准确性随着与原始测量条件的差异越大而变得越差。我们还开发了新的开源软件(http://www.retentionprediction.org/gc)来演示该系统。