食品科学2017，Vol.38Issue(4)：290-295,6.DOI:10.7506/spkx1002-6630-201704047
苯甲酸添加剂的拉曼高光谱分析
Analysis of Benzoic Acid by Raman Hyperspectral Imaging
摘要
Abstract
Raman spectral signals and hyperspectral images of benzoic acid were collected by a Raman hyperspectral imaging spectrometer,and the information was analyzed.The original Raman signal of benzoic acid was preprocessed by a wavelet de-noising method.Optimal parameters for wavelet de-noising that provided the best signal-to-noise ratio (32.092) was determined using an orthogonal array design were established as follows:sym2 wavelet function was used,decomposition level was 2,reset mode was ‘sln’,and threshold option scheme was ‘Rigrsure’.The de-noised Raman spectra were assigned and analyzed.The characteristic vibration modes of benzoic acid in different wavenumber ranges were obtained.The strong spectral peaks at 1 636,1 603,1 000,793,615 and 420 cm-1 could be used as the Raman characteristic frequency of benzoic acid.The Raman characteristic frequencies corresponding to the gray level image obtained from the hyperspectral image were analyzed.The brightness of the image was correlated with the peak intensity of the characteristic frequency,and both changed in the same order.These research results provide a basis for the detection and analysis of benzoic acid.关键词
苯甲酸/小波去噪/谱峰归属/图像分析Key words
benzoic acid/wavelet de-noising/spectral peak assignment/image analysis分类
化学化工引用本文复制引用
王晓彬,黄文倩,王庆艳,刘宸,王超鹏,杨桂燕,赵春江..苯甲酸添加剂的拉曼高光谱分析[J].食品科学,2017,38(4):290-295,6.基金项目
北京市优秀人才项目(2015000021223ZK40) （2015000021223ZK40）
北京市农林科学院青年科研基金项目(QNJJ201423) （QNJJ201423）
