CAJ | 학술논문

离子迁移率非线性函数系数α2和α4是高场不对称波形离子迁移谱（FAIMS）实现物质识别的基础。现有的α2和α4缺少先验值和误差分析方法，因此有必要建立关于α2和α4求解结果误差的评估标准，进而在此基础上提高α2和α4的求解精度。通过自制FAIMS分别对丙酮、异丙醇和1，2二氯苯三种物质在不同分离电压下的检测实验，获取样本在不同分离电压下的谱图和谱图特征值，运用组合的方法从多组分离电压值和相应补偿电压值的数据中选取指定组数，计算出大量的α2和α4数据。通过对α2和α4的数值分析，探究了α2和α4的分布特点和二者之间的相关性，研究了分离电压取点数量和取点方式对其求解结果误差的影响。在拟合α2和α4数据不同范围的频数后，发现α2和α4符合正态分布，其拟合度均在0.96以上，可以利用α2和α4分布的标准差来评估其求解结果的误差。通过对（α2，α4）散点进行拟合，发现α2和α4之间具有很强的负相关性，三样本的相关度分别为－0.977，－0.968，－0.992。随着分离电压选取点数的增加，其相应的求解结果误差在不断减少。通过不同分离电压取点方式的对比，发现当分离电压取V Dmax和0.7 V Dmax时求解结果最优。在保证α2和α4求解的准确性的前提下有效降低了检测次数，为FAIMS实现快速现场检测和精确的谱图解析创造了有利的条件。
리자천이솔비선성함수계수α2화α4시고장불대칭파형리자천이보（FAIMS）실현물질식별적기출。현유적α2화α4결소선험치화오차분석방법，인차유필요건립관우α2화α4구해결과오차적평고표준，진이재차기출상제고α2화α4적구해정도。통과자제FAIMS분별대병동、이병순화1，2이록분삼충물질재불동분리전압하적검측실험，획취양본재불동분리전압하적보도화보도특정치，운용조합적방법종다조분리전압치화상응보상전압치적수거중선취지정조수，계산출대량적α2화α4수거。통과대α2화α4적수치분석，탐구료α2화α4적분포특점화이자지간적상관성，연구료분리전압취점수량화취점방식대기구해결과오차적영향。재의합α2화α4수거불동범위적빈수후，발현α2화α4부합정태분포，기의합도균재0.96이상，가이이용α2화α4분포적표준차래평고기구해결과적오차。통과대（α2，α4）산점진행의합，발현α2화α4지간구유흔강적부상관성，삼양본적상관도분별위－0.977，－0.968，－0.992。수착분리전압선취점수적증가，기상응적구해결과오차재불단감소。통과불동분리전압취점방식적대비，발현당분리전압취V Dmax화0.7 V Dmax시구해결과최우。재보증α2화α4구해적준학성적전제하유효강저료검측차수，위FAIMS실현쾌속현장검측화정학적보도해석창조료유리적조건。
The solution of ion mobility’s nonlinear function coefficientsα2 andα4 is the basis for achieving substance identification of High Field Asymmetric waveform Ion Mobility Spectrometry (FAIMS) .Currently ,nonlinear function coefficients α2 and α4 lack priors ,meanwhile ,existed solving results aboutα2 andα4 are deficient in error evaluation standard .In this article ,acetone , isopropanol and 1 ,2-dichlorobenzene were detected under different dispersion voltage by homemade FAIMS .In general ,the spectrum peak of same sample at different dispersion voltage value is unique .Different dispersion voltage and corresponding com-pensation voltage value determines the value of α2 and α4 .According to sample spectra at different dispersion voltage value , groups of spectral characteristics were obtained .Affirmatory number of data which were selected from multiple sets of compen-sation voltage value and dispersion voltage value ,so that they were utilized to solved out lots of α2 andα4 .Lots of factor have an effect on the accuracy of the solving results of α2 andα4 ,for instance ,value of compensation voltage and dispersion voltage ,style of fetching points of dispersion voltage ,and so on .Comparing to other factors ,style and amount of dispersion voltage is likely to control .By data analyzing huge amounts of α2 andα4 data ,this paper explored their characteristic of distribution and correlation about them ,research influence of number and method to fetch dispersion voltage detected points for error of solving results .Af-ter fitting frequency of α2 and α4 ,it was found that they conform to normal distribution ,goodness of fitting exceed 0.96 ,thus standard deviation of their distribution are able to evaluate error of solving results .In addition ,a strong correlation exists be-tween them ,relevance of sample is -0 .977 ,-0 .968 ,-0 .992 respectively .With increasing of computing selected points ,the corresponding error of solving results decrease .By comparing the standard deviation of method to fetch dispersion voltage detec-ted points ,found that detecting frequency in case of detecting maximum and the 70% of maximum of dispersion voltage value is lower at approximately same standard deviation ,solving effect was optimized in unique fetching points style .Based on the prem-ise of ensuring the accuracy of solving results of α2 and α4 ,it is obvious that reducing the frequency of detections for FAIMS ef-fectively .It created favorable conditions for rapid field detection and precise spectral analysis .