摘要
利用六西格玛设计(design for six Sigma,DFSS)方法,通过定量核磁共振碳谱(quantitative carbon nuclear magnetic resonance spectroscopy,^(13)C qNMR)对由11种已知烃类化合物组成的模型油品进行了芳香碳摩尔百分比[C(ar)%,简称芳碳率]测定的系统研究,建立了C(ar)%与样品浓度Conc.、弛豫试剂浓度[Cr(acac)_3]和循环延迟D13个参数之间的数学模型,据此模型得到了优化的参数设置:Conc.为180mg/mL,[Cr(acac)_3]为12 mg/mL,D1为10.5 s.按此设置进行了8组验证实验,其结果重现性较好,相对标准偏差(relative standard deviation,RSD)为0.61%;准确性较高,达到99.0%~100.6%.该方法也可用于其它分析测试方法的系统研究,且实验结果对现行油品芳碳率测定标准中相关参数,如[Cr(acac)_3]和D1的设置能够提出补充性建议.
Aromatic carbon mole ratios [C(ar)%] in model oil samples, which consisted of 11 saturated/unsaturated compounds with known contents, were determined by quantitative carbon nuclear magnetic resonance spectroscopy (13C qNMR) with the design for six Sigma (DFSS) methodology. An empirical model was established between C(ar)% and sample parameters, including sample concentration (Conc.), concentration of relaxation reagent Cr(acac)3 and relaxation delay (D1). Based on the model, the optimal condition was determined to be at sample concentration 180 mg/mL,concentration of Cr(acac)3 12 mg/mL and D1 10.5 s. Eight verification experiments were performed under the optimal condition, and the results showed fairly good repeatability (RSD = 0.61%) and accuracy (99.0%~100.6%). The work also gave some supplementary suggestions on parameter settings for the current GB method/ASTM method.
作者
马琳鸽
龙银花
MA Lin-ge;LONG Yin-hua(Analytical Center, National Institute of Clean-and-Low-Carbon Energy, Beijing 102209, China)
出处
《波谱学杂志》
CAS
CSCD
北大核心
2017年第1期8-15,共8页
Chinese Journal of Magnetic Resonance
基金
中澳能源联合研究(关键技术联合研究)资助项目(2013DFG61490)
关键词
定量核磁共振碳谱(13CqNMR)
芳碳率
模型油品
六西格玛设计(DFSS)
quantitative carbon nuclear magnetic resonance spectroscopy (13C qNMR)
aromatic carbon mole ratios
model oil samples
design for six Sigma (DFSS)
