简介:摘要目的对中药复杂样品高效液相色谱和超高效液相色谱的基础条件进行分析,建立其相互转换的方法。方法将丹参水提组作为模型样本,并运用五次线性梯度分别对高效液相色谱和超高效液相色谱的12色谱峰保留参数进行计算,然后分别对计算出的12色谱峰保留参数进行关联,获得线性方程,而该线性方程也便可以使两组12色谱峰保留参数得以相互转换,进而对两组12色谱峰保留参数的色谱条件进行预测和优化改进。结果高效液相色谱和超高效液相色谱两者的12色谱峰保留参数具有较好的线性关系,两组12色谱峰保留参数的线性关联R2值分别为0.9914和0.9936。结论在该方法中,很好的实现了分析条件的互相转化,并且实现了两个分析方法在数据分析上的通用性,且具有操作简单、准确的优点特性,最终实现了中药复杂样品的优化与分析预测。
简介:ThevariationsintheEarth’srotationareimportanttospacedynamictheoryandnaturaldisastersbecausetheyaffectthelength-of-day(LOD)andconsequentlyhumanlives.Weusemaximumentropymethod(MEM),Lombmethod(LOMB),andphasedispersionminimization(PDM)todeterminethenaturalperiodsofequallyspacedLODtimeseries.WetransformtheobservationalmonthlyLODtimeseries(LODM)tounequallysampledseries(LODMD)byremovingeveryfourth,third,andhalfofthetotalsamples.WealsoapplysplineinterpolationtoLODMDtoyieldequallyspacedtimeseries(LODMDN).Theresultssuggestthatregardlessofthetimeseries,theMEMfrequencyis0.1660month^-1and0.0840month^-1,whereasLOMBandPDMyield0.166month^-1and0.083month^-1,respectively.Furthermore,missingdatathatarelessthanhalfofthetotaldataorsplineinterpolationdonotaffecttheanalysis.Fortheamplitude,neithermissingdatanorsplineinterpolationaffecttheanalysis.