基于Fourier变换红外光谱分析咖啡豆成分

Analysis of Coffee Bean Components Based onFourier Transform Infrared Spectroscopy

采用Fourier变换红外光谱对不同产区、不同海拔的5组浅中烘焙的咖啡豆样品进行分析,根据官能团的红外光谱特征峰分析样品主要成分;为进一步分析5组样品的成分差异,对原始光谱进行二阶导数处理,结合聚类分析理论建立平均偏离分析方法,计算出5组样品间的平均偏离大小并进行分析.结果表明:5组样品的红外光谱特征峰峰形相似,即主要成分相同;根据红外光谱得到平均偏离大小与产区海拔差值呈正相关.研究结果为分析咖啡豆产区和海拔提供鉴别依据,并对红外光谱研究提供一定参考.

Fourier transform infrared spectroscopy was used to analyze five groups of light-roasted coffee bean samples from different producing areas and different altitudes.The main components of the samples were analyzed according to the infrared spectral characteristic peaks of functional groups.In order to further analyze the compositional differences of the five groups of samples,the original spectra were subjected to second-order derivative processing.The average deviation analysis method was established based on the theory of cluster analysis,and the average deviation between the five groups of samples was calculated and analyzed.The results show that the infrared spectral characteristic peaks of the five groups of samples have similar peak shapes,that is,the main components are the same,the average deviation from the infrared spectrum is positively correlated with the altitude difference of the producing area.The research results provide identification basis for analyzing producing areas and the altitude of the coffee bean,and provide certain reference value for the study of infrared spectrum.