基于太赫兹技术的小麦粉品质快速检测研究
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摘要
该研究针对目前小麦粉品质方面检测方法存在的问题,提出利用太赫兹光谱技术对小麦粉进行快速无损品质检测研究。使用光谱仪与成像仪,采集了不同种类小麦粉样本的太赫兹光谱,使用TQ Analyst软件结合距离匹配法对小麦粉的太赫兹扫描光谱进行定性分析研究,富强粉和麦芯粉成功分类,模型性能指数达到88.9%,预测准确率达100%。使用OPUS软件结合偏最小二乘法(PLS)和一阶导数+矢量归一化(SNV)进行定量分析研究,水分定量模型R~2为91.18%,交叉验证均方根为0.182;灰分定量模型R~2为83.37%,交叉验证均方根为0.064,最终通过实验结果分析得出太赫兹技术在食品品质检测方面的可行性。
In order to solve the problems existing in the detection methods of wheat flour quality, the method using terahertz spectroscopy to study the rapid and nondestructive detection of wheat flour quality was proposed. The terahertz spectra of different kinds of wheat flour samples were studied and collected by spectrometer and imager, and the terahertz scanning spectrum of wheat flour was qualitatively analyzed by the TQ Analyst software combined with distance matching. The strong flour and wheat core powder were successfully classified, the model performance index reached 88.9%,and the prediction accuracy reached 100%. Qualitative analysis studies were performed using OPUS software combined with partial least squares(PLS) and first derivative + vector normalization(SNV). The water quantitative model R~2 was 91.18%, the cross-validation root mean square was0.182; the ash quantitative model R~2 was 83.37%, and the cross-validation root mean square was 0.064. Finally, the feasibility of terahertz technology in food quality detection was obtained through the analysis of experimental results.
In order to solve the problems existing in the detection methods of wheat flour quality, the method using terahertz spectroscopy to study the rapid and nondestructive detection of wheat flour quality was proposed. The terahertz spectra of different kinds of wheat flour samples were studied and collected by spectrometer and imager, and the terahertz scanning spectrum of wheat flour was qualitatively analyzed by the TQ Analyst software combined with distance matching. The strong flour and wheat core powder were successfully classified, the model performance index reached 88.9%,and the prediction accuracy reached 100%. Qualitative analysis studies were performed using OPUS software combined with partial least squares(PLS) and first derivative + vector normalization(SNV). The water quantitative model R~2 was 91.18%, the cross-validation root mean square was0.182; the ash quantitative model R~2 was 83.37%, and the cross-validation root mean square was 0.064. Finally, the feasibility of terahertz technology in food quality detection was obtained through the analysis of experimental results.
引文
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[7]王文涛,王舒妍,陈响.基于太赫兹技术的中国专利申请分析[J].中国发明与专利,2015(7):35-44.
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[9]张帅,曲元刚,廉玉姬,等.光照引起的叶绿素a和β-胡萝卜素在太赫兹和可见区的光谱变化研究[J].中国科学:生命科学,2017,47(2):230-235.
[10]王潇霖,连艳,郑潇潇,等.太赫兹光谱技术在中药鉴别中的研究概况[J].中药与临床,2017,8(1):14-17.
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[12]何明霞,陈涛.太赫兹科学技术在生物医学中的应用研究[J].电子测量与仪表学报,2012,26(6):471-480.
[13]张卓勇,张欣.太赫兹时域光谱技术应用研究进展[J].光谱学与光谱分析2016,36(10):54-55.
[14]李鹏鹏,张元,葛宏义,等.太赫兹技术在食品质量安全检测中的应用研究发展[J].食品工业科技,2017,38(3):372-375.
[15]朱礼国,孟坤,彭龙瑶,等.美国核武器实验室太赫兹技术与应用研究[J].太赫兹科学与电子信息学报,2013,11(4):501-506.
[16]陈韬,孟坤,朱礼国,等.基于太赫兹光谱成像技术的智能处理方法分析[J].太赫兹科学与电子信息学报,2016,14(1):7-12.
[17]张文涛,王思远,占平平,等.基于太赫兹时域光谱技术的红木检测方法[J].光学学报,2017,37(2):1-6.
[18]孙营伟,周萍.小麦粉湿面筋近红外定量分析中的光谱预处理方法研究[J].中国酿造,2016,35(1):137-140.
[19]李明亮,常天英,崔洪亮.基于太赫兹时域光谱分析红层泥岩风化样本[J].光谱学与光谱分析,2016,36(4):929-933.
[20]兰红,王秋丽.基于聚类和马氏距离的SURF昆虫图像匹配算法[J].计算机应用与软件,2016,33(4):201-207.
[21]吴静珠,张宇靖,石瑞杰,等.拉曼光谱结合距离匹配法快速鉴别掺伪食用油[J].中国粮油学报,2015,30(9):119-122.
[22]窦颖,孙晓荣,刘翠玲,等.基于拉曼光谱技术的小麦粉品质快速检测[J].食品科学,2014,35(22):185-189.
[23]陈善雄,彭茂玲,彭喜化.一种基于偏最小二乘的网络入侵检测方法分析[J].信息网络安全,2016(1):6-10.
[24] TAN H Y, ZHENG D Z, LI X, et al. The Application of THz spectroscopy and GA-BP in methanol concentration detection[J]. Spectrosc Spect Anal,2016, 36(11):3752-3757.
[25]王芳,仇大剑,夏红岩,等.基于太赫兹时域光谱技术的饲用维生素鉴别的研究初探[J].内蒙古农业大学学报:自然科学版,2016,37(4):129-135.
[26]樊双喜,钟其顶,李国辉,等.近红外光谱法快速检测黄酒的酒精度、总糖和总酸[J].中国酿造,2015,34(2):135-138.
[27]王祥,冯瑞梅,魏珍,等. Logratio变换与偏最小二乘法在多目标混料均匀设计药物处方配比优化中的应用[J].中国卫生统计,2016,33(4):571-574.
[28] WANG J R, ZHANG Z Y, YANG Y P, et al. Identification of rhuharb samples by terahertz time domain spectroscopy combined with principal component analysis-linear discriminant analysis and support vector machine[J]. Spectrosc Spect Anal, 2017, 37(5):1606-1611.
[29]陈涛.基于主成分分析和模糊识别的生物分子太赫兹光谱识别[J].量子电子学报,2016,33(4):392-397.
[30]杨帅,左剑,刘尚建,等.太赫兹光谱技术在中药大黄炮制品检测中的应用研究[J].光谱学与光谱分析,2016,36(12):3870-3874.
[31]胡晓华,刘伟,刘长虹,等.基于太赫兹光谱和支持向量机快速鉴别咖啡豆产地[J].农业工程学报,2017,33(9):302-305.
[32]胡玉君,刘翠玲,窦森磊,等.基于近红外光谱的小麦湿面筋含量检测[J].四川大学学报:自然科学版,2015,52(4):800-804.
[33] CHEN T, LI Z, HU F R, et al. Discrimination of GMOs using Terahertz spectroscopy and CS-SVM[J]. Spectrosc Spect Anal, 2017, 37(2):618-623.
[2]马微,程丽,单艺,等.太赫兹科学技术在食品质量安全领域的应用研究进展[J].肉类研究,2015,29(11):39-43.
[3]齐娜,张卓勇,相玉红.太赫兹技术在医学检测和诊断中的应用研究[J].光谱学与光谱分析,2013,33(8):2064-2070.
[4]马品,杨玉平.运用太赫兹光谱技术检测天麻中的水分含量[J].太赫兹科学与电子信息学报,2017,15(1):26-28.
[5]刘乔,陈志强,雷江波,等.医用棉纱布的太赫兹波段透射特性[J].太赫兹科学与电子信息学报,2014,12(5):667-670.
[6]方虹霞,张琪,张慧丽,等.小麦粉中偶氮甲酰胺的太赫兹时域光谱检测[J].中国粮油学报,2016,31(1):107-111.
[7]王文涛,王舒妍,陈响.基于太赫兹技术的中国专利申请分析[J].中国发明与专利,2015(7):35-44.
[8]王建国.太赫兹液晶器件的研究发展[J].光电技术应用,2013,28(5):24-29.
[9]张帅,曲元刚,廉玉姬,等.光照引起的叶绿素a和β-胡萝卜素在太赫兹和可见区的光谱变化研究[J].中国科学:生命科学,2017,47(2):230-235.
[10]王潇霖,连艳,郑潇潇,等.太赫兹光谱技术在中药鉴别中的研究概况[J].中药与临床,2017,8(1):14-17.
[11] BIN L, LIPING C. Exploration on precision farming pollution detection using THz technology[J]. Infrared and Laser Eng, 2016, 45(4):1-6.
[12]何明霞,陈涛.太赫兹科学技术在生物医学中的应用研究[J].电子测量与仪表学报,2012,26(6):471-480.
[13]张卓勇,张欣.太赫兹时域光谱技术应用研究进展[J].光谱学与光谱分析2016,36(10):54-55.
[14]李鹏鹏,张元,葛宏义,等.太赫兹技术在食品质量安全检测中的应用研究发展[J].食品工业科技,2017,38(3):372-375.
[15]朱礼国,孟坤,彭龙瑶,等.美国核武器实验室太赫兹技术与应用研究[J].太赫兹科学与电子信息学报,2013,11(4):501-506.
[16]陈韬,孟坤,朱礼国,等.基于太赫兹光谱成像技术的智能处理方法分析[J].太赫兹科学与电子信息学报,2016,14(1):7-12.
[17]张文涛,王思远,占平平,等.基于太赫兹时域光谱技术的红木检测方法[J].光学学报,2017,37(2):1-6.
[18]孙营伟,周萍.小麦粉湿面筋近红外定量分析中的光谱预处理方法研究[J].中国酿造,2016,35(1):137-140.
[19]李明亮,常天英,崔洪亮.基于太赫兹时域光谱分析红层泥岩风化样本[J].光谱学与光谱分析,2016,36(4):929-933.
[20]兰红,王秋丽.基于聚类和马氏距离的SURF昆虫图像匹配算法[J].计算机应用与软件,2016,33(4):201-207.
[21]吴静珠,张宇靖,石瑞杰,等.拉曼光谱结合距离匹配法快速鉴别掺伪食用油[J].中国粮油学报,2015,30(9):119-122.
[22]窦颖,孙晓荣,刘翠玲,等.基于拉曼光谱技术的小麦粉品质快速检测[J].食品科学,2014,35(22):185-189.
[23]陈善雄,彭茂玲,彭喜化.一种基于偏最小二乘的网络入侵检测方法分析[J].信息网络安全,2016(1):6-10.
[24] TAN H Y, ZHENG D Z, LI X, et al. The Application of THz spectroscopy and GA-BP in methanol concentration detection[J]. Spectrosc Spect Anal,2016, 36(11):3752-3757.
[25]王芳,仇大剑,夏红岩,等.基于太赫兹时域光谱技术的饲用维生素鉴别的研究初探[J].内蒙古农业大学学报:自然科学版,2016,37(4):129-135.
[26]樊双喜,钟其顶,李国辉,等.近红外光谱法快速检测黄酒的酒精度、总糖和总酸[J].中国酿造,2015,34(2):135-138.
[27]王祥,冯瑞梅,魏珍,等. Logratio变换与偏最小二乘法在多目标混料均匀设计药物处方配比优化中的应用[J].中国卫生统计,2016,33(4):571-574.
[28] WANG J R, ZHANG Z Y, YANG Y P, et al. Identification of rhuharb samples by terahertz time domain spectroscopy combined with principal component analysis-linear discriminant analysis and support vector machine[J]. Spectrosc Spect Anal, 2017, 37(5):1606-1611.
[29]陈涛.基于主成分分析和模糊识别的生物分子太赫兹光谱识别[J].量子电子学报,2016,33(4):392-397.
[30]杨帅,左剑,刘尚建,等.太赫兹光谱技术在中药大黄炮制品检测中的应用研究[J].光谱学与光谱分析,2016,36(12):3870-3874.
[31]胡晓华,刘伟,刘长虹,等.基于太赫兹光谱和支持向量机快速鉴别咖啡豆产地[J].农业工程学报,2017,33(9):302-305.
[32]胡玉君,刘翠玲,窦森磊,等.基于近红外光谱的小麦湿面筋含量检测[J].四川大学学报:自然科学版,2015,52(4):800-804.
[33] CHEN T, LI Z, HU F R, et al. Discrimination of GMOs using Terahertz spectroscopy and CS-SVM[J]. Spectrosc Spect Anal, 2017, 37(2):618-623.
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