CAJ | 학술논문

为解决汽油中添加过量含氧化合物和未列入国家产品标准的添加剂化合物快速检测技术问题，提出了一种近红外光谱结合斜投影算法实现汽油中添加剂含量的快速分析方法。实验选用了四种不同种类的无氧汽油，包括调和汽油、FCC精制汽油、重整汽油和脱硫汽油，配制不同浓度、不同种类的添加剂化合物的系列汽油样品，使用傅里叶变换近红外光谱仪测定其近红外光谱，采用斜投影算法将被测添加化合物光谱信号从汽油光谱信号中分离出来，建立一元回归的标准工作曲线。预测分析中，根据分离的被测化合物光谱和标准工作曲线计算被测样本的添加化合物含量。此方法测定结果与真实含量之间绝对偏差小于0.8，相对偏差小于8％，用于实际汽油样本，此方法与气相色谱标准方法测定结果之间的绝对偏差小于0.85，相对偏差小于6.85％。本方法有效地解决了一般化学计量学多元校正方法建模维护工作量大，模型稳健性差的问题。对开发适合现场油品快速检测和有效加强我国汽油质量监管力度具有重要意义。
위해결기유중첨가과량함양화합물화미렬입국가산품표준적첨가제화합물쾌속검측기술문제，제출료일충근홍외광보결합사투영산법실현기유중첨가제함량적쾌속분석방법。실험선용료사충불동충류적무양기유，포괄조화기유、FCC정제기유、중정기유화탈류기유，배제불동농도、불동충류적첨가제화합물적계렬기유양품，사용부리협변환근홍외광보의측정기근홍외광보，채용사투영산법장피측첨가화합물광보신호종기유광보신호중분리출래，건립일원회귀적표준공작곡선。예측분석중，근거분리적피측화합물광보화표준공작곡선계산피측양본적첨가화합물함량。차방법측정결과여진실함량지간절대편차소우0.8，상대편차소우8％，용우실제기유양본，차방법여기상색보표준방법측정결과지간적절대편차소우0.85，상대편차소우6.85％。본방법유효지해결료일반화학계량학다원교정방법건모유호공작량대，모형은건성차적문제。대개발괄합현장유품쾌속검측화유효가강아국기유질량감관력도구유중요의의。
A new rapid quantitative method for the determination of oxygenates and the compounds not included in the national standard in gasoline using near‐infrared spectroscopy is raised by this paper .This method combine near‐infrared spectroscopy with oblique projection .This experiment choose four different types of gasoline ,including reconcile gasoline ,FCC refined gaso‐line ,reformed gasoline and desulfurizing gasoline .Prepare series gasoline samples containing different concentrations and differ‐ent types of compounds .Using FTIR spectrometer to measure those samples and got transmission spectrums .Oblique projection method could separate quantity spectral signal from mixed spectrum signal ,and using projection to calculate and analyze the sep‐arated signal to obtain the content of measured component .The deviation between this method and the real content is low ,the absolute error is less than 0 .8 and the relative error is less than 8% .For the actual gasoline samples ,compare results of this method with gas chromatography ,the absolute error are less than 0.85 and the relative error are less than 6.85% .This method solves the problem of general multivariate calibration methods .It is very significant for the development of rapid detection tech‐nology using NIR suitable for on‐site and the improvement of the quality of gasoline .