CN102507817B - Method for forecasting leading chromatographic peak shape under multi-order programmed temperature condition - Google Patents

Method for forecasting leading chromatographic peak shape under multi-order programmed temperature condition Download PDF

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CN102507817B
CN102507817B CN2011103752162A CN201110375216A CN102507817B CN 102507817 B CN102507817 B CN 102507817B CN 2011103752162 A CN2011103752162 A CN 2011103752162A CN 201110375216 A CN201110375216 A CN 201110375216A CN 102507817 B CN102507817 B CN 102507817B
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范国樑
李登科
龚彩荣
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Tianjin University
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Abstract

本发明公开了一种预测多阶程序升温条件下伸舌色谱峰形的方法。其方法主要包括:根据虚拟死时间求不同温度下的色谱保留因子值;根据非线性塔板理论,利用计算机程序搜索出恒温条件下的峰形参数值psp;基于不同恒温条件下待测化合物的保留因子和峰形参数,回归分析分别建立二者与温度之间的函数关系;设定升温程序,通过计算机运算得出预测的伸舌色谱峰形,并与相同程序升温条件下获得的实验峰形进行比较。本发明对于伸舌峰这一类色谱峰形的定性提供了重要依据,优化了色谱分离条件,同时对实验室中常见的重叠色谱峰的准确定量提供了新的途径。此外,该发明适用范围广,预测精度高。The invention discloses a method for predicting the peak shape of tongue protruding chromatogram under the condition of multi-stage temperature programming. The method mainly includes: calculating the chromatographic retention factor values at different temperatures according to the virtual dead time; using a computer program to search for the peak shape parameter value psp under constant temperature conditions according to the nonlinear plate theory; Retention factor and peak shape parameters, and regression analysis to establish the functional relationship between the two and temperature; set the temperature rise program, and obtain the predicted tongue-out chromatographic peak shape through computer operations, and compare it with the experimental peak shape obtained under the same programmed temperature rise conditions. shape for comparison. The invention provides an important basis for the qualitative determination of such chromatographic peaks as protruding tongue peaks, optimizes the chromatographic separation conditions, and simultaneously provides a new approach for the accurate quantification of common overlapping chromatographic peaks in laboratories. In addition, the invention has a wide application range and high prediction accuracy.

Description

预测多阶程序升温条件下伸舌色谱峰形的方法A Method for Predicting the Peak Shape of Tongue-out Chromatography under Multi-step Temperature Programmable Conditions

技术领域 technical field

本发明涉及预测多阶程序升温条件下伸舌色谱峰形的方法,属气相色谱技术领域。The invention relates to a method for predicting the peak shape of a tongue protruding chromatogram under the condition of multi-stage temperature programming, and belongs to the technical field of gas chromatography.

背景技术 Background technique

在色谱分析领域中,色谱峰形的预测时一项十分重要的研究内容。对于沸点组成变化范围很大的复杂化合物,需要利用程序升温条件才能够实现组分间的分离。如果能够基于少量样品的保留时间和峰形参数数据,借助计算机程序,实现程序升温条件下色谱峰形的预测,不但可以实现保留时间的准确预测,优化色谱分离条件,为色谱定性提供帮助,而且能够为重叠峰的准确定量提供新的途径。因此,色谱峰形的准确预测,尤其是程序升温条件下色谱峰形的预测,具有很大的创新性和实用价值。In the field of chromatographic analysis, the prediction of chromatographic peak shape is a very important research content. For complex compounds with a wide range of boiling points and compositions, it is necessary to use temperature programming conditions to achieve separation between components. If based on the retention time and peak shape parameter data of a small number of samples, with the help of computer programs, the prediction of the chromatographic peak shape under the condition of programmed temperature rise can be realized, not only the accurate prediction of the retention time can be realized, the chromatographic separation conditions can be optimized, and the chromatographic qualitative can be provided. Can provide new avenues for accurate quantification of overlapping peaks. Therefore, the accurate prediction of chromatographic peak shape, especially the prediction of chromatographic peak shape under programmed temperature conditions, has great innovative and practical value.

目前国内外关于恒温条件下的色谱峰形预测工作已经有所开展,但是针对程序升温条件下的色谱法峰形预测工作尚未见诸报道。At present, the work on the prediction of chromatographic peak shape under constant temperature conditions has been carried out at home and abroad, but the work on the prediction of chromatographic peak shape under programmed temperature conditions has not been reported.

发明内容 Contents of the invention

本发明的目的在于提供一种以非线性塔板理论为理论基础,预测多阶程序升温条件下伸舌色谱峰形的方法,该方法不仅能够准确的预测许多化合物多阶程序升温条件下的伸舌色谱峰形,而且预测过程简单;The purpose of the present invention is to provide a method based on the nonlinear tray theory to predict the peak shape of the tongue-out chromatogram under the condition of multi-stage temperature programming. Tongue chromatographic peak shape, and the prediction process is simple;

本发明是通过以下技术方案加以实现的,一种预测多阶程序升温条件下伸舌色谱峰形的方法,该方法是以非线性塔板理论为基础,针对HP6890气相色谱仪及非极性的HP-5色谱柱(以下简称色谱柱),预测过程中采用任意恒定的虚拟死时间,其特征在于包括以下过程:The present invention is achieved through the following technical scheme, a method for predicting the peak shape of the tongue-out chromatogram under the condition of multi-stage temperature programming, the method is based on the nonlinear tray theory, and is aimed at HP-5 chromatographic column (hereinafter referred to as chromatographic column), adopts arbitrary constant virtual dead time in the prediction process, is characterized in that comprising following process:

1)虚拟死时间τ的设定:色谱柱设定温度变化范围为30-250℃,测定待测化合物在T1=30℃、T2=50℃、T3=100℃、T4=150℃、T5=200℃和T6=250℃六个恒温下的保留时间tR1、tR2、tR3、tR4、tR5和tR6,确定其中最小保留时间值,以小于该最小保留时间值的任意一个时间值均可作为虚拟的死时间;1) Setting of virtual dead time τ: The temperature range of the chromatographic column setting is 30-250°C, and the measured compound is measured at T 1 =30°C, T 2 =50°C, T 3 =100°C, T 4 =150°C ℃, T 5 =200 ℃ and T 6 =250 ℃ under six constant temperatures of retention time t R1 , t R2 , t R3 , t R4 , t R5 and t R6 , determine the value of the minimum retention time, if it is less than the minimum retention time Any time value of the time value can be used as a virtual dead time;

2)恒温条件下保留因子k的计算:根据步骤1)测定的六个恒温下的保留时间tR1、tR2、tR3、tR4、tR5、tR6和已经确定的虚拟死时间τ,采用式1,计算六个恒温下对应的保留因子:k1、k2、k3、k4、k5和k62) Calculation of the retention factor k under constant temperature conditions: according to the six retention times t R1 , t R2 , t R3 , t R4 , t R5 , t R6 determined in step 1) and the virtual dead time τ under constant temperature, Using formula 1, calculate the corresponding retention factors at six constant temperatures: k 1 , k 2 , k 3 , k 4 , k 5 and k 6 ,

k=(tR-τ)/τ              式1k=(t R -τ)/τ Formula 1

式1中:k为保留因子,In formula 1: k is the retention factor,

       τ为虚拟的死时间,τ is the virtual dead time,

       tR为对应各个温度点的保留时间;t R is the retention time corresponding to each temperature point;

3)恒温条件下峰形参数(peak shape parameter,psp)的计算:3) Calculation of peak shape parameter (psp) under constant temperature conditions:

峰形参数psp定义为基于非线性塔板理论建立的待测化合物在同一块塔板上固定相与流动相中的浓度之间的函数关系中的系数,函数关系如下式:The peak shape parameter psp is defined as the coefficient in the functional relationship between the concentration of the test compound on the same tray between the stationary phase and the mobile phase established based on the nonlinear tray theory, and the functional relationship is as follows:

C S = psp · C M 2 + ( k + 1 ) · C M 式2 C S = psp · C m 2 + ( k + 1 ) · C m Formula 2

CS+CM=Cn             式3C S +C M =C n Formula 3

式2中:psp为峰形参数值;In formula 2: psp is the peak shape parameter value;

       CS、CM为待测化合物在同一块塔板上固定相和流动相中的浓度;C S , C M are the concentrations of the compounds to be tested in the stationary phase and mobile phase on the same tray;

式3中:Cn为待测化合物在同一块塔板上固定相与流动相中浓度之和;In formula 3: C is the sum of the concentration of the compound to be tested in the stationary phase and the mobile phase on the same tray;

以下述计算机程序运行,计算不同温度条件下的峰形参数值:Run the following computer program to calculate the peak shape parameter values under different temperature conditions:

首先在程序中输入已知参数:恒温条件下色谱柱温度T、待测化合物的初始浓度CM00、待测化合物在该温度条件下的保留因子k、理论塔板数N以及跳跃次数l;再利用式2和式3,输入三个不同的峰形参数值,分别对比计算机程序运行获得的峰形与实验峰形,得出峰形参数与峰形大小之间变化趋势的关系;不断调整输入的峰形参数值的大小,直到获得的该恒温条件下的峰形与实验峰形完全吻合时,该数值便为该待测化合物在该温度条件下的实际峰形参数值;Firstly, input the known parameters in the program: the chromatographic column temperature T under constant temperature conditions, the initial concentration C M00 of the compound to be tested, the retention factor k of the compound to be tested at this temperature condition, the number of theoretical plates N and the number of jumps l; Using Equation 2 and Equation 3, input three different peak shape parameter values, compare the peak shape obtained by computer program operation with the experimental peak shape, and obtain the relationship between the peak shape parameter and the peak shape size; constantly adjust the input The size of the peak shape parameter value, until the obtained peak shape under the constant temperature condition completely matches the experimental peak shape, this value is the actual peak shape parameter value of the compound to be tested under the temperature condition;

利用第i次跳跃对应的保留因子ki,以及设定的峰形参数值psp,根据式4和式5,分别计算待测化合物在第1、2、3...n...N块塔板中固定相和流动相的浓度:Using the retention factor ki corresponding to the i-th jump, and the set peak shape parameter value psp, according to formula 4 and formula 5, respectively calculate the compounds to be tested in blocks 1, 2, 3...n...N Concentrations of stationary and mobile phases in the trays:

C Sni = psp · C Mni 2 + ( k + 1 ) · C Mni 式4 C Sni = psp · C Mni 2 + ( k + 1 ) · C Mni Formula 4

CSni+CMni=Cni                             式5C Sni + C M ni = C ni formula 5

式4中:CSni和CMni分别为跳跃次数为i时,待测化合物在第n块塔板中固定相和流动相中的浓度;In formula 4: C Sni and C Mni are the concentration of the compound to be tested in the stationary phase and mobile phase in the nth plate when the number of jumps is i respectively;

式5中:Cni为跳跃次数为i时,待测化合物在第n块塔板中的总浓度,它由式6确定:In formula 5: C ni is when the number of jumps is i, the total concentration of the compound to be tested in the nth column plate, which is determined by formula 6:

Cni=CS(n-1)i+CM(n-1)(i-1)                式6C ni =C S(n-1)i +C M(n-1)(i-1) Formula 6

CM00=1μg/mLC M00 = 1 μg/mL

式6中:CM00为待测化合物的起始浓度,In Formula 6: C M00 is the initial concentration of the compound to be tested,

       CS(n-1)i为跳跃次数为i时,待测化合物在第n-1块塔板的固定相中的浓度,C S(n-1)i is the concentration of the compound to be tested in the stationary phase of the n-1th column plate when the number of jumps is i,

       CM(n-1)(i-1)为跳跃次数为i-1时,待测化合物在第n-1块塔板的流动相中的浓度;C M(n-1)(i-1) is the concentration of the compound to be tested in the mobile phase of the n-1th plate when the number of jumps is i-1;

当待测化合物跳跃至最后一块塔板时,待测化合物仍按照式4、式5关系进行分配,当进行下一次跳跃时,最后一块塔板上流动相中的待测化合物流出,记录该时刻流出的浓度值,固定相中的待测化合物与上一塔板流动相带入的待测化合物重新进行分配,如此,直至达到设定的跳跃次数,保证待测化合物全部流出色谱柱,由此得到待测化合物在每一次跳跃时对应流出浓度值的数据点,并由这些数据点构成的图形即为预测的伸舌色谱峰形;When the compound to be tested jumps to the last tray, the compound to be tested is still distributed according to the relationship between formula 4 and formula 5. When the next jump is performed, the compound to be tested in the mobile phase on the last tray flows out, and the moment is recorded The concentration value of the effluent, the test compound in the stationary phase and the test compound brought in by the mobile phase of the previous plate are redistributed, so that until the set number of jumps is reached, all the test compounds are guaranteed to flow out of the chromatographic column, thus Obtain the data points corresponding to the outflow concentration value of the compound to be tested at each jump, and the graph formed by these data points is the predicted tongue-out chromatographic peak shape;

在上述计算机程序中分别设定T1、T2、T3、T4、T5和T6六种温度数值,并由此得到相应的峰形参数值psp1、psp2、psp3、psp4、psp5和psp6Set six temperature values of T 1 , T 2 , T 3 , T 4 , T 5 and T 6 in the above computer program, and obtain corresponding peak shape parameter values psp 1 , psp 2 , psp 3 , psp 4. psp 5 and psp 6 ;

4)确定待测化合物在程序升温条件下色谱柱内任意一次跳跃时,对应的温度Ti4) Determine the corresponding temperature T i when the compound to be tested undergoes any jump in the chromatographic column under the condition of programmed temperature rise:

(1)以式6确定每次跳跃需要的时间Δτ,(1) Determine the time Δτ required for each jump by Equation 6,

Δτ=τ/(N-1)                         式6Δτ=τ/(N-1) Equation 6

式6中:τ为虚拟的死时间,由步骤1)已确定,In formula 6: τ is the virtual dead time, which has been determined by step 1),

       N为色谱柱固有的理论塔板数;N is the inherent theoretical plate number of the chromatographic column;

(2)待测化合物在色谱柱内跳跃i次,共需时间ti,由式7计算,(2) The compound to be tested jumps i times in the chromatographic column, a total time t i is required, calculated by formula 7,

ti=i×Δτ                            式7t i =i×Δτ Formula 7

式7中,i是跳跃次数;In formula 7, i is the number of jumps;

(3)在多阶程序升温中,计算多阶程序升温的总时间t:(3) In the multi-stage temperature program, calculate the total time t of the multi-stage temperature program:

t=th1+t1+th2+t2                       式8t=t h1 +t 1 +t h2 +t 2 Formula 8

式8中:th1为起始温度的保持时间,经验数值为:1-5min,In formula 8: t h1 is the holding time of the initial temperature, the empirical value is: 1-5min,

       th2为第一阶段程序升温的终止温度的保持时间,经验数值为:1-5min,t h2 is the holding time of the end temperature of the first stage of programmed temperature rise, the empirical value is: 1-5min,

       t1为第一阶段程序升温的需要时间,t 1 is the time required for the first stage of temperature programming,

       t2为第二阶段程序升温的需要时间,t 2 is the time required for the second stage of temperature programming,

       t1和t2分别由式6和式7计算得到:t 1 and t 2 are calculated by formula 6 and formula 7 respectively:

t1=(Tm-T0)/r1                        式9t 1 =(T m -T 0 )/r 1 Formula 9

t2=(Tf-Tm)/r2                        式10t 2 =(T f -T m )/r 2 Formula 10

式9中:Tm为第一阶段程序升温的终止温度,In formula 9: T m is the termination temperature of the first stage of temperature programming,

       T0为起始温度,T 0 is the starting temperature,

       r1为第一阶段程序升温的升温速率;r 1 is the heating rate of the first stage of programmed heating;

式10中:Tf为第二阶段程序升温的终止温度,In formula 10: T f is the termination temperature of the second stage temperature programming,

        r2为第二阶段程序升温的升温速率,r 2 is the heating rate of the second stage of temperature programming,

        其中,r1和r2的经验取值范围为5-30℃/min;Among them, the empirical value range of r 1 and r 2 is 5-30°C/min;

(4)确定待测化合物第i次跳跃时,此时色谱柱对应的温度Ti(4) Determine the temperature T i corresponding to the chromatographic column at the time of the i-th jump of the compound to be tested:

当ti<th1,则柱温Ti=T0When t i <t h1 , the column temperature T i =T 0 ,

当th1<ti<(th1+t1),则柱温Ti=r1×(t1-th1)+T0When t h1 <t i <(t h1 +t 1 ), then column temperature T i =r 1 ×(t 1 -t h1 )+T 0 ,

当(th1+t1)≤ti≤(th1+t1+th2),则柱温Ti=TmWhen (t h1 +t 1 )≤t i ≤(t h1 +t 1 +t h2 ), then column temperature T i =T m ,

当(th1+t1+th2)<ti<t,则柱温Ti=r2×(ti-t1-th1-th2)+TmWhen (t h1 +t 1 +t h2 )<t i <t, then column temperature T i =r 2 ×(t i -t 1 -t h1 -t h2 )+T m ,

当ti>t,则柱温Ti=TfWhen t i >t, the column temperature T i =T f ;

5)多阶程序升温条件下保留因子k及峰形参数psp与温度关系的确定:5) Determination of the relationship between retention factor k and peak shape parameter psp and temperature under multi-stage temperature programming conditions:

(1)利用六个恒温温度值T1、T2、T3、T4、T5和T6以及步骤2)中求得的相应的保留因子k1、k2、k3、k4、k5和k6,通过回归分析,得到保留因子k与温度T之间的函数关系式为式11:(1) Using the six constant temperature values T 1 , T 2 , T 3 , T 4 , T 5 and T 6 and the corresponding retention factors k 1 , k 2 , k 3 , k 4 , k 5 and k 6 , through regression analysis, the functional relationship between retention factor k and temperature T is obtained as formula 11:

lnk=aT3+bT2+cT+d                式11lnk=aT 3 +bT 2 +cT+d Formula 11

其中参数a、b、c和d均为定值;Among them, parameters a, b, c and d are fixed values;

由此计算出程序升温中任意温度点Ti对应的保留因子kiFrom this, the retention factor k i corresponding to any temperature point T i in the temperature program is calculated;

(2)利用六个恒温温度值T1、T2、T3、T4、T5和T6以及步骤3)中获得的相应的峰形参数值psp1、psp2、psp3、psp4、psp5和psp6,通过回归分析,得到峰形参数psp与温度T之间的函数关系式为式12:(2) Using six constant temperature values T 1 , T 2 , T 3 , T 4 , T 5 and T 6 and the corresponding peak shape parameter values psp 1 , psp 2 , psp 3 , psp 4 obtained in step 3) , psp 5 and psp 6 , through regression analysis, the functional relationship between the peak shape parameter psp and the temperature T is obtained as formula 12:

ln psp=a′T3+b′T2+c′T+d′            式12ln psp=a'T 3 +b'T 2 +c'T+d' Formula 12

式12中,参数a′、b′、c′和d′均为定值;In formula 12, the parameters a', b', c' and d' are all fixed values;

由此计算出程序升温中任意温度点Ti对应的峰形参数psp;From this, the peak shape parameter psp corresponding to any temperature point T i in the temperature program is calculated;

6)多阶程序升温条件下待测化合物预测峰形的获得:6) Obtaining the predicted peak shape of the compound to be tested under the condition of multi-stage temperature programming:

在计算机程序中输入以下数据:柱相比β、待测化合物起始浓度CM00、理论塔板数N、跳跃次数n、六个恒温温度值、虚拟的死时间τ、保留因子和峰形参数与温度关系式中的各参数、多阶程序升温的初始温度、第一阶段终止的温度、第二阶段终止的温度、第一阶段的升温速率、第二阶段的升温速率、初始温度下保持的时间和第一阶段程序升温终止温度下保持的时间;通过步骤3)中所述的计算机运行程序,得到待测化合物在该程序升温条件下的预测的伸舌色谱峰形。Enter the following data into the computer program: column phase β, initial concentration of the compound to be tested C M00 , number of theoretical plates N, number of jumps n, six constant temperature values, virtual dead time τ, retention factor and peak shape parameters The parameters in the relationship with temperature, the initial temperature of the multi-stage temperature program, the temperature at the end of the first stage, the temperature at the end of the second stage, the heating rate of the first stage, the heating rate of the second stage, the temperature maintained at the initial temperature Time and the time maintained at the end temperature of the first stage program temperature increase; through the computer operation program described in step 3), the predicted tongue-out chromatographic peak shape of the compound to be tested under the temperature program temperature condition is obtained.

本发明的优点在于:实现了多阶程序升温条件下伸舌峰形的预测,对于伸舌峰这一类色谱峰形的定性提供了重要依据,优化了色谱分离条件,同时对实验室中常见的重叠色谱峰的准确定量提供了新的途径;在计算过程中不需要准确测定死时间数值,任意设定某一死时间数值即可,所以预测过程非常简便;预测过程所取的温度点多,变化范围大,可以在较宽的温度变化范围内较好的预测伸舌色谱峰形,本方法适用范围广,预测精度高。The present invention has the advantages of realizing the prediction of the protruding tongue peak shape under the condition of multi-stage temperature programming, providing an important basis for the qualitative determination of the chromatographic peak shape of the protruding tongue peak, optimizing the chromatographic separation conditions, and simultaneously analyzing the common The accurate quantification of overlapping chromatographic peaks provides a new way; in the calculation process, it is not necessary to accurately determine the value of the dead time, and a certain value of the dead time can be set arbitrarily, so the prediction process is very simple; the temperature points taken in the prediction process are many, The range of variation is large, and the peak shape of the tongue protruding chromatogram can be better predicted in a wide range of temperature variation. This method has a wide range of applications and high prediction accuracy.

附图说明Description of drawings

图1为本发明预测多阶程序升温条件下伸舌色谱峰形的方法的计算机运算流程图。Fig. 1 is the computer operation flowchart of the method for predicting the peak shape of the tongue protruding chromatogram under the condition of multi-stage temperature programming in the present invention.

图2为实施例1中A升温程序条件下实验峰形与预测峰形对比图。图中实线代表预测峰形,虚线代表实验峰形。FIG. 2 is a comparison chart of the experimental peak shape and the predicted peak shape under the temperature rising program condition of A in Example 1. The solid line in the figure represents the predicted peak shape, and the dashed line represents the experimental peak shape.

图3为实施例1中B升温程序条件下实验峰形与预测峰形对比图。图中实线代表预测峰形,虚线代表实验峰形。FIG. 3 is a comparison chart of the experimental peak shape and the predicted peak shape under the B heating program condition in Example 1. The solid line in the figure represents the predicted peak shape, and the dashed line represents the experimental peak shape.

图4为实施例1中C升温程序条件下实验峰形与预测峰形对比图。图中实线代表预测峰形,虚线代表实验峰形。FIG. 4 is a comparison chart of the experimental peak shape and the predicted peak shape under the temperature rising program condition C in Example 1. The solid line in the figure represents the predicted peak shape, and the dashed line represents the experimental peak shape.

图5为实施例2中A升温程序条件下实验峰形与预测峰形对比图。图中实线代表预测峰形,虚线代表实验峰形。Fig. 5 is a comparison chart of the experimental peak shape and the predicted peak shape under the condition of the heating program A in Example 2. The solid line in the figure represents the predicted peak shape, and the dashed line represents the experimental peak shape.

图6为实施例2中B升温程序条件下实验峰形与预测峰形对比图。图中实线代表预测峰形,虚线代表实验峰形。Fig. 6 is a comparison chart of the experimental peak shape and the predicted peak shape under the B heating program condition in Example 2. The solid line in the figure represents the predicted peak shape, and the dashed line represents the experimental peak shape.

图7为实施例2中C升温程序条件下实验峰形与预测峰形对比图。图中实线代表预测峰形,虚线代表实验峰形。Fig. 7 is a comparison chart of the experimental peak shape and the predicted peak shape under the condition of C heating program in Example 2. The solid line in the figure represents the predicted peak shape, and the dashed line represents the experimental peak shape.

具体实施方式 Detailed ways

实施例1Example 1

仪器:HP6890气相色谱仪,氢火焰离子化检测器,6890气相色谱工作站;Instruments: HP6890 gas chromatograph, hydrogen flame ionization detector, 6890 gas chromatograph workstation;

色谱柱:非极性的HP-5(5%苯基甲基聚硅氧烷)柱;Chromatographic column: non-polar HP-5 (5% phenylmethylpolysiloxane) column;

条件:检测器的温度为250℃,进样口温度为250℃;Conditions: The temperature of the detector is 250°C, and the temperature of the injection port is 250°C;

载气:使用高纯氮气(纯度不低于99.999%),恒流操作模式,即载气在柱出口处,Carrier gas: use high-purity nitrogen gas (purity not less than 99.999%), constant flow operation mode, that is, the carrier gas is at the outlet of the column,

      质量流量保持恒定,为1mL/min;The mass flow rate was kept constant at 1mL/min;

进样方式:分流进样,分流比为50∶1,每次的进样量为0.2μL,浓度为1μg/mL;Injection method: split injection, the split ratio is 50:1, each injection volume is 0.2 μL, and the concentration is 1 μg/mL;

(1)选择庚酸为待测化合物,在HP-5柱上测定其在30℃、50℃、100℃、150℃、200℃和250℃六个恒温下的保留时间,分别为25.01min、14.32min、7.30min、3.07min、2.34min和2.08min;(1) Heptanoic acid was selected as the compound to be tested, and its retention times at six constant temperatures of 30°C, 50°C, 100°C, 150°C, 200°C and 250°C were measured on the HP-5 column, which were 25.01min, 14.32min, 7.30min, 3.07min, 2.34min and 2.08min;

(2)取虚拟死时间τ=1.85min,根据式1计算庚酸在六个恒温下的保留因子,分别为:2.53、1.91、1.08、-0.42、-1.33和-2.12。在较低温度时,庚酸在两相间的分配比较缓慢,并受到传质阻力扩散项等的影响,因此,在利用式2对六个恒温下的保留因子与温度关系的曲线进行拟合时,需要对以上参数加以修正,最终得出参数a、b、c和d,分别为:-8.4224×10-7、1.2051×10-3、-0.5881和96.8190;从而得出庚酸在程序升温过程中,保留因子与温度的关系式如下:(2) Take the virtual dead time τ=1.85min, and calculate the retention factors of heptanoic acid at six constant temperatures according to formula 1, which are respectively: 2.53, 1.91, 1.08, -0.42, -1.33 and -2.12. At lower temperatures, the distribution of heptanoic acid between the two phases is relatively slow, and is affected by mass transfer resistance diffusion items, etc. Therefore, when using Equation 2 to fit the curves of the relationship between retention factor and temperature at six constant temperatures , the above parameters need to be corrected, and finally the parameters a, b, c and d are obtained, which are: -8.4224×10 -7 , 1.2051×10 -3 , -0.5881 and 96.8190; In , the relationship between retention factor and temperature is as follows:

lnk=-8.4224×10-7·T3+1.2051×10-3·T2-0.5881T+96.8190lnk=-8.4224×10 -7 T 3 +1.2051×10 -3 T 2 -0.5881T+96.8190

(3)首先在计算机程序中输入以下已知参数:恒温温度值T1(30℃)、待测化合物的初始浓度1μg/mL、保留因子k1(2.53)、理论塔板数N以及跳跃次数l;不断调整输入的峰形参数值的大小,使得最终获得预测峰形与实验峰形完全吻合,求得30℃时庚酸的峰形参数值为21.00。(3) First input the following known parameters into the computer program: constant temperature T 1 (30°C), initial concentration of the compound to be tested 1 μg/mL, retention factor k 1 (2.53), number of theoretical plates N and number of jumps l; Constantly adjust the value of the input peak shape parameter, so that the final predicted peak shape is completely consistent with the experimental peak shape, and the peak shape parameter value of heptanoic acid at 30°C is 21.00.

同理,可分别求得庚酸在50℃、100℃、150℃、200℃和250℃条件下的峰形参数分别为16.97、7.00、2.00、-1.83和-9.21。Similarly, the peak shape parameters of heptanoic acid at 50°C, 100°C, 150°C, 200°C, and 250°C can be obtained as 16.97, 7.00, 2.00, -1.83, and -9.21, respectively.

通过回归分析,得出庚酸在多阶程序升温条件下,峰形参数与温度的关系式如下:Through regression analysis, draw heptanoic acid under the condition of multi-stage temperature programming, the relational expression of peak shape parameter and temperature is as follows:

ln psp=-4.4509×1-6·T3+5.8055×10-3·T2-2.5711T+391.7654ln psp=-4.4509×1 -6 T 3 +5.8055×10 -3 T 2 -2.5711T+391.7654

选择三个不同的程序升温,它们分别为:Choose from three different temperature programs, which are:

A程序升温30℃(保持2min)→5℃/min→70℃(保持1min)→25℃/min→250℃;A program temperature rise 30°C (hold 2min) → 5°C/min → 70°C (hold 1min) → 25°C/min → 250°C;

B程序升温30℃(保持2min)→10℃/min→70℃(保持1min)→25℃/min→250℃;B Program temperature rise 30°C (hold for 2min)→10°C/min→70°C (hold for 1min)→25°C/min→250°C;

C程序升温30℃(保持2min)→15℃/min→70℃(保持1min)→25℃/min→250℃;C program temperature rise 30°C (hold for 2min)→15°C/min→70°C (hold for 1min)→25°C/min→250°C;

在计算机程序中输入以下数据:柱相比β、待测化合物起始浓度CM00、理论塔板数N、跳跃次数n、六个恒温温度值、虚拟的死时间τ、保留因子和峰形参数与温度关系式中的各参数、多阶程序升温的初始温度、第一阶段终止的温度、第二阶段终止的温度、第一阶段的升温速率、第二阶段的升温速率、初始温度下保持的时间和第一阶段程序升温终止温度下保持的时间;运行计算机程序,分别得到庚酸在上述三种程序升温条件下的预测的色谱峰形。Enter the following data into the computer program: column phase β, initial concentration of the compound to be tested C M00 , number of theoretical plates N, number of jumps n, six constant temperature values, virtual dead time τ, retention factor and peak shape parameters The parameters in the relationship with temperature, the initial temperature of the multi-stage temperature program, the temperature at the end of the first stage, the temperature at the end of the second stage, the heating rate of the first stage, the heating rate of the second stage, the temperature maintained at the initial temperature Time and the time maintained under the first-stage temperature program temperature termination temperature; run the computer program to obtain the predicted chromatographic peak shapes of heptanoic acid under the above-mentioned three temperature program temperature conditions respectively.

(4)利用HP-5柱在气相色谱上分别获取庚酸在以上三个程序升温条件下相应的色谱峰形,并且与预测峰形相对照,依次如图2、3、4所示。(4) Use the HP-5 column to obtain the corresponding chromatographic peak shapes of heptanoic acid under the above three programmed temperature conditions on the gas chromatograph, and compare them with the predicted peak shapes, as shown in Figures 2, 3, and 4 in turn.

对以上各自的对比图观察可看出,预测峰形已与实验峰形达到了很高的吻合度,证实了以非线性塔板理论为基础预测不同程序升温条件下的伸舌色谱峰形的方法的可行性。It can be seen from the above respective comparison charts that the predicted peak shape has reached a high degree of agreement with the experimental peak shape, which confirms the accuracy of predicting the tongue-out chromatographic peak shape under different temperature programming conditions based on the nonlinear tray theory. the feasibility of the method.

本实施例预测相对误差%=(预测结果-实验结果)/实验结果×100。结果如表一所示:In this embodiment, the prediction relative error %=(prediction result−experimental result)/experimental result×100. The results are shown in Table 1:

表一不同程序升温条件下庚酸预测峰形与实验峰形之间的相对误差Table 1 The relative error between the predicted peak shape of heptanoic acid and the experimental peak shape under different programmed temperature conditions

Figure BSA00000618887200061
Figure BSA00000618887200061

实施例2Example 2

实验仪器、色谱柱、条件、载气以及进样方式同实施例1;Experimental apparatus, chromatographic column, condition, carrier gas and sample injection mode are the same as embodiment 1;

(1)选择庚酸为待测化合物,在HP-5柱上测定其在30℃、50℃、100℃、150℃、200℃和250℃六个恒温下的保留时间,分别为25.01min、14.32min、7.30min、3.07min、2.34min和2.08min;(1) Heptanoic acid was selected as the compound to be tested, and its retention times at six constant temperatures of 30°C, 50°C, 100°C, 150°C, 200°C and 250°C were measured on the HP-5 column, which were 25.01min, 14.32min, 7.30min, 3.07min, 2.34min and 2.08min;

(2)取虚拟死时间τ=1.85min,根据式1计算庚酸在六个恒温下的保留因子,分别为:2.53、1.91、1.08、-0.42、-1.33和-2.12。在较低温度时,庚酸在两相间的分配比较缓慢,并受到传质阻力扩散项等的影响,因此,在利用式2对六个恒温下的保留因子与温度关系的曲线进行拟合时,需要对以上参数加以修正,最终得出参数a、b、c和d,分别为:-8.4224×10-7、1.2051×10-3、-0.5881和96.8190;从而得出庚酸在程序升温过程中,保留因子与温度的关系式如下:(2) Take the virtual dead time τ=1.85min, and calculate the retention factors of heptanoic acid at six constant temperatures according to formula 1, which are respectively: 2.53, 1.91, 1.08, -0.42, -1.33 and -2.12. At lower temperatures, the distribution of heptanoic acid between the two phases is relatively slow, and is affected by mass transfer resistance diffusion items, etc. Therefore, when using Equation 2 to fit the curves of the relationship between retention factor and temperature at six constant temperatures , the above parameters need to be corrected, and finally the parameters a, b, c and d are obtained, which are: -8.4224×10 -7 , 1.2051×10 -3 , -0.5881 and 96.8190; In , the relationship between retention factor and temperature is as follows:

lnk=-8.4224×10-7·T3+1.2051×10-3·T2-0.5881T+96.8190lnk=-8.4224×10 -7 T 3 +1.2051×10 -3 T 2 -0.5881T+96.8190

(3)首先在计算机程序中输入以下已知参数:恒温温度值T1(30℃)、待测化合物的初始浓度1μg/mL、保留因子k1(2.53)、理论塔板数N以及跳跃次数l;不断调整输入的峰形参数值的大小,使得最终获得预测峰形与实验峰形完全吻合,求得30℃时庚酸的峰形参数值为21.00。(3) First input the following known parameters into the computer program: constant temperature T 1 (30°C), initial concentration of the compound to be tested 1 μg/mL, retention factor k 1 (2.53), number of theoretical plates N and number of jumps l; Constantly adjust the value of the input peak shape parameter, so that the final predicted peak shape is completely consistent with the experimental peak shape, and the peak shape parameter value of heptanoic acid at 30°C is 21.00.

同理,可分别求得庚酸在50℃、100℃、150℃、200℃和250℃条件下的峰形参数分别为16.97、7.00、2.00、-1.83和-9.21。Similarly, the peak shape parameters of heptanoic acid at 50°C, 100°C, 150°C, 200°C, and 250°C can be obtained as 16.97, 7.00, 2.00, -1.83, and -9.21, respectively.

通过回归分析,得出庚酸在多阶程序升温条件下,峰形参数与温度的关系式如下:Through regression analysis, draw heptanoic acid under the condition of multi-stage temperature programming, the relational expression of peak shape parameter and temperature is as follows:

ln psp=-4.4509×10-6·T3+5.8055×10-3·T2-2.5711T+391.7654ln psp=-4.4509×10 -6 T 3 +5.8055×10 -3 T 2 -2.5711T+391.7654

选择三个不同的程序升温,它们分别为:Choose from three different temperature programs, which are:

A程序升温70℃(保持2min)→15℃/min→150℃(保持1min)→25℃/min→250℃;A program temperature rise 70°C (hold 2min) → 15°C/min → 150°C (hold 1min) → 25°C/min → 250°C;

B程序升温70℃(保持2min)→20℃/min→150℃(保持1min)→25℃/min→250℃;B Program temperature rise 70°C (hold for 2min)→20°C/min→150°C (hold for 1min)→25°C/min→250°C;

C程序升温70℃(保持2min)→40℃/min→150℃(保持1min)→25℃/min→250℃;C program temperature rise 70°C (hold for 2min)→40°C/min→150°C (hold for 1min)→25°C/min→250°C;

在计算机程序中输入以下数据:柱相比β、待测化合物起始浓度CM00、理论塔板数N、跳跃次数n、六个恒温温度值、虚拟的死时间τ、保留因子和峰形参数与温度关系式中的各参数、多阶程序升温的初始温度、第一阶段终止的温度、第二阶段终止的温度、第一阶段的升温速率、第二阶段的升温速率、初始温度下保持的时间和第一阶段程序升温终止温度下保持的时间;运行计算机程序,分别得到庚酸在上述三种程序升温条件下的预测的色谱峰形。Enter the following data into the computer program: column phase β, initial concentration of the compound to be tested C M00 , number of theoretical plates N, number of jumps n, six constant temperature values, virtual dead time τ, retention factor and peak shape parameters The parameters in the relationship with temperature, the initial temperature of the multi-stage temperature program, the temperature at the end of the first stage, the temperature at the end of the second stage, the heating rate of the first stage, the heating rate of the second stage, the temperature maintained at the initial temperature Time and the time maintained under the first-stage temperature program temperature termination temperature; run the computer program to obtain the predicted chromatographic peak shapes of heptanoic acid under the above-mentioned three temperature program temperature conditions respectively.

(4)利用HP-5柱在气相色谱上分别获取庚酸在以上三个程序升温条件下相应的色谱峰形,并且与预测峰形相对照,依次如图5、6、7所示。(4) Use the HP-5 column to obtain the corresponding chromatographic peak shapes of heptanoic acid under the above three programmed temperature conditions on the gas chromatograph, and compare them with the predicted peak shapes, as shown in Figures 5, 6, and 7 in turn.

对以上各自的对比图观察可看出,预测峰形已与实验峰形达到了很高的吻合度,证实了以非线性塔板理论为基础预测不同程序升温条件下的伸舌色谱峰形的方法的可行性。It can be seen from the above respective comparison charts that the predicted peak shape has reached a high degree of agreement with the experimental peak shape, which confirms the accuracy of predicting the tongue-out chromatographic peak shape under different temperature programming conditions based on the nonlinear tray theory. the feasibility of the method.

本实施例预测相对误差%=(预测结果-实验结果)/实验结果×100。结果如表二所示:In this embodiment, the prediction relative error %=(prediction result−experimental result)/experimental result×100. The results are shown in Table 2:

表二不同程序升温条件下庚酸预测峰形与实验峰形之间的相对误差Table 2 The relative error between the predicted peak shape of heptanoic acid and the experimental peak shape under different programmed temperature conditions

Figure BSA00000618887200071
Figure BSA00000618887200071

Claims (1)

1. the method for a forecasting leading chromatographic peak shape under multi-order programmed temperature condition, the method is take non-linear plate theory as basis, for HP6890 gas chromatograph and nonpolar HP-5 chromatographic column, adopt the constant virtual dead time arbitrarily in forecasting process, it is characterized in that comprising following process:
1) setting of virtual dead time τ: chromatographic column design temperature variation range is 30-250 ℃, measures testing compound at T 1=30 ℃, T 2=50 ℃, T 3=100 ℃, T 4=150 ℃, T 5=200 ℃ and T 6Retention time t under=250 ℃ of six constant temperature R1, t R2, t R3, t R4, t R5And t R6, determine wherein minimum retention time value, all can be used as the virtual dead time with any one time value less than this minimum retention time value;
2) the retention time t under six constant temperature the calculating of Retention factor k under constant temperature: according to step 1) measuring R1, t R2, t R3, t R4, t R5, t R6The virtual dead time τ that has determined, employing formula 1, calculate retention factors corresponding under six constant temperature: k 1, k 2, k 3, k 4, k 5And k 6,
K=(t R-τ)/τ formula 1
In formula 1: k is retention factors,
τ is the virtual dead time,
t RRetention time for corresponding each temperature spot;
3) calculating of peak shape parameter (peak shape parameter, psp) under constant temperature:
Peak shape parameter psp is defined as the testing compound set up based on the non-linear plate theory coefficient in the funtcional relationship between the concentration in fixing and mobile phase on the same column plate, funtcional relationship as shown in the formula:
C S = psp &CenterDot; C M 2 + ( k + 1 ) &CenterDot; C M Formula 2
C S+ C M=C nFormula 3
In formula 2: psp is the peak shape parameter value;
C S, C MBeing respectively testing compound fixes mutually and the concentration in mobile phase on the same column plate;
In formula 3: C nFor testing compound concentration sum in fixing and mobile phase on the same column plate;
, with following computer program operation, calculate the peak shape parameter value under condition of different temperatures:
At first input known parameters in program: the initial concentration C of chromatogram column temperature T, testing compound under constant temperature M00, Retention factor k, theoretical cam curve N and the number of skips l of testing compound under this temperature conditions; Recycling formula 2 and formula 3, input three different peak shape parameter values, and comparing calculation machine program is moved the peak shape and experiment peak shape that obtains respectively, draws the relation of variation tendency between peak shape parameter and peak shape size; Constantly adjust the size of the peak shape parameter value of input, until the peak shape under this constant temperature that obtains is while fitting like a glove with the experiment peak shape, this numerical value is just the actual peak shape parameter value of this testing compound under this temperature conditions;
Utilize the corresponding Retention factor k that jumps the i time i, and the peak shape parameter value psp that sets,, according to formula 4 and formula 5, calculate respectively the concentration of testing compound and mobile phase mutually fixing the 1st, 2, in 3...n...N piece column plate:
C Sni = psp &CenterDot; C Mni 2 + ( k + 1 ) &CenterDot; C Mni Formula 4
C Sni+ C Mni=C niFormula 5
In formula 4: C SniAnd C MniBe respectively number of skips while being i, testing compound is the concentration in mutually fixing and mobile phase in n piece column plate;
In formula 5: C niWhile for number of skips, being i, the total concentration of testing compound in n piece column plate, it is determined by formula 6:
C ni=C S (n-1) i+ C M (n-1) (i-1)Formula 6
C M00=lμg/mL
In formula 6: C M00For the initial concentration of testing compound,
C S (n-1) iWhile for number of skips, being i, testing compound is in the fixing concentration in mutually of n-1 piece column plate,
C M (n-1) (i-1)While for number of skips, being i-1, the concentration of testing compound in the mobile phase of n-1 piece column plate;
when testing compound jumps to last piece column plate, testing compound is still according to formula 4, formula 5 relations are distributed, when jumping next time, testing compound on last piece column plate in mobile phase flows out, record the concentration value that this flows out constantly, the testing compound that testing compound in fixing mutually and a upper column plate mobile phase are brought into re-starts distribution, so, until reach the number of skips of setting, guarantee that testing compound all flows out chromatographic column, obtain thus testing compound corresponding data point that flows out concentration value when jumping each time, and be the chromatographic peak profile that lolls of prediction by the figure that these data points form,
Set respectively T in above-mentioned computer program 1, T 2, T 3, T 4, T 5And T 6Six kinds of Temperature numerical, and obtain thus corresponding peak shape parameter value psp 1, psp 2, psp 3, psp 4, psp 5And psp 6
While 4) determining that testing compound once jumps arbitrarily in chromatographic column under the temperature programme condition, corresponding temperature T i:
(1) determine each time △ τ that jumps and need with formula 6,
The formula 6 of △ τ=τ/(N-1)
In formula 6: τ is the virtual dead time, by step 1) definite,
N is the intrinsic theoretical cam curve of chromatographic column;
(2) testing compound jump i time in chromatographic column, t altogether takes time i, calculated by formula 7,
t i=ix △ τ formula 7
In formula 7, i is number of skips;
(3) in multistage temperature programme, calculate the T.T. t of multistage temperature programme:
T=t h1+ t 1+ t h2+ t 2Formula 8
In formula 8: t h1For the retention time of initial temperature, empirical value is: 1-5min,
t h2For the retention time of the final temperature of first stage temperature programme, empirical value is: 1-5min,
t 1For the first stage temperature programme need the time,
t 2For the subordinate phase temperature programme need the time,
t 1And t 2Calculated by formula 6 and formula 7 respectively:
t 1=(T m-T 0)/r 1Formula 9
t 2=(T f-T m)/r 2Formula 10
In formula 9: T mFor the final temperature of first stage temperature programme,
T 0For initial temperature,
r 1Heating rate for the first stage temperature programme;
In formula 10: T fFor the final temperature of subordinate phase temperature programme,
r 2For the heating rate of subordinate phase temperature programme,
Wherein, r 1And r 2The experience span be 5-30 ℃/min;
While (4) determining that testing compound jumps for the i time, temperature T corresponding to chromatographic column this moment i:
Work as t i<t h1, column temperature T i=T 0,
Work as t h1<t i<(t h1+ t 1), column temperature T i=r 1* (t i-t h1)+T 0,
As (t h1+ t 1)≤t i≤ (t h1+ t 1+ t h2), column temperature T i=T m,
As (t h1+ t 1+ t h2)<t i<t, column temperature T i=r 2* (t it 1-t h1-t h2)+T m,
Work as t i>t, column temperature T i=T f
5) the determining of Retention factor k and peak shape parameter psp and temperature relation under multistage temperature programme condition:
(1) utilize six thermostat temperature value T 1, T 2, T 3, T 4, T 5And T 6The corresponding Retention factor k of trying to achieve and step 2) 1, k 2, k 3, k 4, k 5And k 6, by regretional analysis, the functional relation that obtains between Retention factor k and temperature T is formula 11:
Ink=aT 3+ bT 2+ cT+d formula 11
Wherein parameter a, b, c and d are definite value;
Calculate thus arbitrary temp point T in temperature programme iCorresponding Retention factor k i
(2) utilize six thermostat temperature value T 1, T 2, T 3, T 4, T 5And T 6And step 3) the corresponding peak shape parameter value psp that obtains in 1, psp 2, psp 3, psp 4, psp 5And psp 6, by regretional analysis, the functional relation that obtains between peak shape parameter psp and temperature T is formula 12:
Inpsp=a ' T 3+ b ' T 2+ c ' T+d ' formula 12
In formula 12, parameter a ', b ', c ' and d ' are definite value;
Calculate thus arbitrary temp point T in temperature programme iCorresponding peak shape parameter psp;
6) acquisition of testing compound prediction peak shape under multistage temperature programme condition:
The following data of input in computer program: post is compared β, testing compound initial concentration C M00, the initial temperature of theoretical cam curve N, number of skips n, six thermostat temperature values, virtual dead time τ retention factors and each parameter in peak shape parameter and temperature relation formula, multistage temperature programme, temperature that the first stage stops, temperature that subordinate phase stops, the heating rate of first stage, subordinate phase heating rate, initial temperature under two times of keeping under time of keeping and first stage temperature programme final temperature; By step 3) described in computer runs programs, obtain the chromatographic peak profile that lolls of the prediction of testing compound under this temperature programme condition.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5905192A (en) * 1997-07-23 1999-05-18 Hewlett-Packard Company Method for identification of chromatographic peaks
CN1632568A (en) * 2004-12-27 2005-06-29 天津大学 Method for Determining Individual Peaks in Chromatographically Overlapping Peaks
CN1712955A (en) * 2004-06-25 2005-12-28 中国科学院大连化学物理研究所 A Method for Accurately Determining Chromatographic Peak Shape Parameters and Overlapped Peak Areas
JP2006177980A (en) * 2006-03-27 2006-07-06 Hitachi Ltd Chromatographic data processing apparatus, chromatographic data processing method, and chromatographic analyzer
CA2636025A1 (en) * 2006-02-08 2007-08-16 Thermo Finnigan Llc A two-step method to align three dimensional lc-ms chromatographic surfaces
CN101256176A (en) * 2007-11-21 2008-09-03 邹纯才 Method for analysis of chromatographic peak match

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5905192A (en) * 1997-07-23 1999-05-18 Hewlett-Packard Company Method for identification of chromatographic peaks
CN1712955A (en) * 2004-06-25 2005-12-28 中国科学院大连化学物理研究所 A Method for Accurately Determining Chromatographic Peak Shape Parameters and Overlapped Peak Areas
CN1632568A (en) * 2004-12-27 2005-06-29 天津大学 Method for Determining Individual Peaks in Chromatographically Overlapping Peaks
CA2636025A1 (en) * 2006-02-08 2007-08-16 Thermo Finnigan Llc A two-step method to align three dimensional lc-ms chromatographic surfaces
JP2006177980A (en) * 2006-03-27 2006-07-06 Hitachi Ltd Chromatographic data processing apparatus, chromatographic data processing method, and chromatographic analyzer
CN101256176A (en) * 2007-11-21 2008-09-03 邹纯才 Method for analysis of chromatographic peak match

Non-Patent Citations (12)

* Cited by examiner, † Cited by third party
Title
Jin GW等.Prediction of retention times and peak shape parameters of unknown compounds in traditional Chinese medicine under gradient conditions by ultra performance liquid chromatography.《analytica chimica acta》.2008,(第628期),
Prediction of retention times and peak shape parameters of unknown compounds in traditional Chinese medicine under gradient conditions by ultra performance liquid chromatography;Jin GW等;《analytica chimica acta》;20081017(第628期);第95-103页 *
一种新的非平衡传质模型对柱内外色谱峰形的描述;张兴华等;《第一届环渤海色谱学术交流会会报》;20110530;第283-286页 *
以滑移机理探讨拖尾色谱峰与伸舌色谱峰;张大力等;《中国科技信息》;20091015(第20期);第29-30页 *
在线速度改变的条件下塔板理论对柱内外色谱峰形的描述;张兴华;《第一届环渤海色谱学术交流会会报》;20110530;第293-295页 *
张兴华.在线速度改变的条件下塔板理论对柱内外色谱峰形的描述.《第一届环渤海色谱学术交流会会报》.2011,
张兴华等.一种新的非平衡传质模型对柱内外色谱峰形的描述.《第一届环渤海色谱学术交流会会报》.2011,
张兴华等.非平衡塔板理论和经典塔板理论在描述色谱峰形方面的定性比较.《第一届环渤海色谱学术交流会议会报》.2011,
张大力等.以滑移机理探讨拖尾色谱峰与伸舌色谱峰.《中国科技信息》.2009,(第20期),
张玉奎等.色谱峰形参数与保留值间线性关系的新探讨.《色谱》.1989,(第2期),
色谱峰形参数与保留值间线性关系的新探讨;张玉奎等;《色谱》;19890501(第2期);第70-74页 *
非平衡塔板理论和经典塔板理论在描述色谱峰形方面的定性比较;张兴华等;《第一届环渤海色谱学术交流会议会报》;20110530;第287-289页 *

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