CAJ | 학술논문

近年来，基于朗伯-比尔定律和化学计量学的红外光谱定量分析方法发展十分迅速。其中，选择合适的预处理方法和有效的校正模型是定量分析成功的关键。选取30个葡萄酒样品，运用红外光谱结合向量回归算法SVR ，对葡萄酒乳酸、酒石酸、乙酸异戊酯、3-甲基-1-丁醇进行了红外含量预测。选用标准归一化、基线校正以及异常样本点剔除三种谱图预处理方法，结合支持向量回归算法。实验结果表明该方法行之有效，计算值与标准值间的相对误差可被控制在5％以内。该方法可应用于葡萄酒中代表性物质含量的定量分析检测。
근년래，기우랑백-비이정률화화학계량학적홍외광보정량분석방법발전십분신속。기중，선택합괄적예처리방법화유효적교정모형시정량분석성공적관건。선취30개포도주양품，운용홍외광보결합향량회귀산법SVR ，대포도주유산、주석산、을산이무지、3-갑기-1-정순진행료홍외함량예측。선용표준귀일화、기선교정이급이상양본점척제삼충보도예처리방법，결합지지향량회귀산법。실험결과표명해방법행지유효，계산치여표준치간적상대오차가피공제재5％이내。해방법가응용우포도주중대표성물질함량적정량분석검측。
Fourier transform infrared spectroscopy has been widely used in some related fields ,thus induces the rapid develop-ment of quantitative analysis method based on Lambert -Beer’s Law and chemometrics in recent years .The selection of appro-priate pre-processing method and calibration model is extremely crucial to the quantitative analysis .The present paper selected 30 wine samples and used infrared spectroscopy combined with vector regression algorithm SVR quantitative analysis model with standard normal variate ,baseline correction and outliers elimination to analyze four representative components of wine .Satisfac-tory results were gained while the relative errors were limited to less than 5% .This method can be applied to the wine represent-ative quantitative analysis for the material content .