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Abstract

Objective: To avoid young liquor as old liquor and realize the discrimination of Baijiu age. Methods: The near infrared transmission spectra of Baijiu samples were collected by near infrared spectrometer, and the synchronous and asynchronous two-dimensional correlation spectra of Baijiu samples were constructed with the wine age as the external disturbance. On this basis, the autocorrelation spectrum of each sample was extracted, and the age discrimination model of Baijiu was established by combining Markov distance method. Results: The wave band from 1400 nm to 1800 nm contained the effective information about the changes of Baijiu samples on age. The discrimination accuracy of model correction set was 93.3%, and that of prediction set was 92.0%. Conclusion: Two dimensional correlation spectrum combined with Mahalanobis distance method can effectively identify the age of Baijiu.

Publication Date

12-28-2022

First Page

56

Last Page

59,98

DOI

10.13652/j.spjx.1003.5788.2022.80606

References

[1] 陈霏,庹先国,曾祥林,等.近红外检测技术在白酒生产中的应用研究进展[J].食品科技,2021,46(1):280-284.CHEN F,TUO X G,ZENG X L,et al.Research progress of near infrared detection technology in liquor production[J].Food Technology,2021,46(1):280-284.
[2] 牛云蔚,李雯慧,肖作兵.白酒风味物质分析研究进展[J].食品科学技术学报,2021(2):23-31.NIU Y W,LI H W,XIAO Z B.Research progress on analysis of flavor compounds in Baijiu[J].Journal of Food Science and Technology,2021(2):23-31.
[3] 蒲璐璐,戴怡凤,李豆南,等.电子鼻和气质联用技术分析不同酒龄酱香型白酒挥发性成分[J].中国酿造,2021,40(7):171-175.PU L L,DAI Y F,LI D N,et al.Analysis of volatile components in sauce-flavor Baijiu with different ages by electronic nose and GC-MS[J].Brewed in China,2021,40(7):171-175.
[4] 黄富荣,宋晗,郭鎏,等.近红外光谱结合化学计量学的常见中国蜂蜜掺杂糖浆鉴别[J].光谱学与光谱分析,2019,39(11):3 560-3 565.HUANG F R,SONG H,GUO L,et al.Determination of Chinese honey adulterated with syrups by near infrared spectroscopy combined with chemometrics[J].Spectroscopy and Spectral Analysis,2019,39(11):3 560-3 565.
[5] 张欣欣,李尚科,李跑,等.近红外光谱的不同产地柑橘无损鉴别方法[J].光谱学与光谱分析,2021,41(12):3 695-3 700.ZHANG X X,LI S K,LI P,et al.A nondestructive identification method of producing regions of citrus based on near infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2021,41(12):3 695-3 700.
[6] YANG R J,XUN X S,WANG B H,et al.Adulteration of sesame oil with corn oil detected by use of two-dimensional infrared correlation spectroscopy and multivariate calibration[J].Spectroscopy Letters,2016,48(5):335-361.
[7] 刘亚超,李永玉,彭彦昆,等.近红外二维相关光谱的掺和大米判别[J].光谱学与光谱分析,2020,40(5):1 559-1 564.LIU Y C,LI Y Y,PENG Y K,et al.Application of two-dimensional correlation spectra in the identification of adulterated rice[J].Spectroscopy and Spectral Analysis,2020,40(5):1 559-1 564.
[8] LIU Y,YAO L Y,XIA Z Z,et al.Geographical discrimination and adulteration analysis for edible oils using two-dimensional correlation spectroscopy and convolutional neural networks(CNNs)[J].Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy,2021,246:118973.
[9] NODA I.Advances in two-dimensional correlation spectroscopy[J].Vibrational Spectroscopy,2004,36(2):143-165.
[10] 王其滨,杨辉华,潘细朋,等.基于小波变换动态时间规整的近红外光谱模型传递方法[J].分析测试学报,2019,38(12):1 423-1 429.WANG Q B,YANG H H,PAN X P,et al.A near infrared spectroscopy model transfer method based on wavelet transform combined with dynamic time warping[J].Journal of Analysis and Testing,2019,38(12):1 423-1 429.
[11] 孙哲华,孟庆浩,靳荔成.基于小波变换的白酒检测电子鼻降噪方法研究[J].仪表技术与传感器,2021(11):114-120.SUN Z H,MENG Q H,JIN L C.Research on denoising method of electronic nose for liquor detection based on wavelet transform[J].Instrument Technology and Sensors,2021(11):114-120.
[12] 张娟,原帅,张骏.基于小波变换—遗传算法—偏最小二乘的草莓糖度检测研究[J].分析科学学报,2020,36(1):111-115.ZHANG J,YUAN S,ZHANG J.Detection of sugar degree in strawberry based on wavelet transform-genetic algorithm-partial least squares[J].Journal of Analytical Science,2020,36(1):111-115.
[13] 古丽君,林振华,吴世玉,等.近红外光谱结合线性判别分析方法在食醋品牌鉴别中的应用[J].食品与发酵工业,2019(18):243-247.GU L J,LIN Z H,WU S Y,et al.Research on identification of vinegar brand based on NIR combined with LDA[J].Food and Fermentation Industry,2019(18):243-247.
[14] 杜伟,房立清,齐子元.一种邻域自适应半监督局部Fisher判别分析算法[J].计算机应用研究,2019,36(1):99-102,118.DU W,FANG L Q,QI Z Y.Neighborhood adaptive semi-supervised local Fisher discriminant analysis algorithm[J].Computer Application Research,2019,36(1):99-102,118.
[15] 刘建学,张卫卫,韩四海,等.白酒基酒中己酸,乙酸的近红外快速检测[J].食品科学,2016,37(4):181-185.LIU J X,ZHANG W W,HAN S H,et al.Rapid detection of caproic acid and acetic acid in liquor base based on fourier transform near-infrared spectroscopy[J].Food Science,2016,37(4):181-185.
[16] YANG Y R,REN Y F,DONG G M,et al.Determination of methanol in alcoholic beverages by two-dimensional near-infrared correlation spectroscopy[J].Analytical Letters,2016,49(14):2 279-2 289.
[17] 郭玉姗,刘建学,李璇,等.基于近红外光谱技术的白酒基酒中乳酸的快速检测[J].食品工业科技,2018,39(20):212-216.GUO Y S,LIU J X,LI X,et al.Rapid determination of lactic acid in base liquor based on near infrared spectroscopy[J].Food Industry Science and Technology,2018,39(20):212-216.
[18] 高畅,张宇飞,辛颖,等.近红外光谱技术结合波段筛选用于白酒基酒总酯定量分析[J].中国酿造,2021,40(4):155-158.GAO C,ZHANG Y,XIN Y,et al.Quantitative analysis of total esters in Baijiu base liquor by near-infrared spectroscopy combined with band selection[J].Brewed in China,2021,40(4):155-158.
[19] ZHANG L,LI G,SUN M,et al.Kennard-Stone combined with least square support vector machine method for noncontact discriminating human blood species[J].Infrared Physics & Technology,2017,86:116-119.

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