發(fā)布時間：2018-06-10 18:50

  本文選題：白酒 + 熒光光譜　； 參考：《光譜學與光譜分析》2017年05期

【摘要】：年份白酒現已成為企業(yè)開發(fā)重點,但年份標準有較大的隨意性,建立年份標準已成為規(guī)范行業(yè)和市場的迫切需要�；谀称放圃瓭{白酒的三維熒光光譜,對白酒年份預測模型進行了研究。研究內容和創(chuàng)新工作如下:首先,研究了熒光光譜與白酒年份的相關性。研究發(fā)現:0.5年與其他年份白酒的三維熒光光譜之間的相關系數達0.811 4;原始光譜中年份信息主要分布在激發(fā)波長為200~230和250~320nm、發(fā)射波長為400~500nm的光譜區(qū);導數光譜的年份信息分布區(qū)域廣且離散性高。其次,研究了熒光光譜之間的相關性。研究表明:原始光譜具有嚴重的多重共線性,在400~600nm的區(qū)間內,相關系數接近1;求導能提高光譜分辨能力并降低多重共線性,二階導數具有更好的抑制多重共線性的作用,相關系數大部分小于0.6。最后,基于量子遺傳算法-小波神經網絡研究了激發(fā)波長為300nm的白酒年份預測模型,并提出了光譜建模信息密度的概念。研究發(fā)現:原始光譜年份預測誤差達5.4年,效果最差,其原因是原始光譜具有嚴重的多重共線性以及光譜與年份的相關性不顯著;導數光譜具有更高的信息密度和更好的建模效果,二階導數光譜預測集的相關系數達0.999 8,年份預測誤差達0.79年。研究成果將為白酒年份標定提供一種便捷的光學手段,同時也為多組分漸變體系的熒光光譜研究提供重要的參考。
[Abstract]:Years of liquor has become the focus of enterprise development, but the year standard has a greater arbitrariness, the establishment of the year standard has become the urgent need to standardize the industry and market. Based on the three-dimensional fluorescence spectrum of a brand of original liquor, the prediction model of liquor year was studied. The research contents and innovations are as follows: firstly, the correlation between fluorescence spectrum and liquor year was studied. It was found that the correlation coefficient between the three dimensional fluorescence spectra of liquor in the year of 1: 0.5 and that in other years was 0.811, and the year information in the original spectrum was mainly distributed in the spectral region with excitation wavelengths of 200 ~ 230 and 250 ~ 320nm and emission wavelength of 400~500nm. The year information distribution of derivative spectrum is wide and discrete. Secondly, the correlation between fluorescence spectra was studied. The results show that the original spectrum has serious multiplex collinearity, the correlation coefficient is close to 1 in the range of 400~600nm, the derivative can improve the spectral resolution and reduce the multiplex collinearity, and the second derivative has a better effect on suppressing the multiplex collinearity. Most of the correlation coefficients are less than 0.6. Finally, based on quantum genetic algorithm (QGA)-wavelet neural network, the prediction model of liquor year with excitation wavelength of 300nm is studied, and the concept of spectral modeling information density is proposed. It is found that the prediction error of the original spectral year is 5.4 years, the effect is the worst, the reason is that the original spectrum has serious multiple collinearity and the correlation between the original spectrum and the year is not significant. The derivative spectrum has higher information density and better modeling effect. The correlation coefficient of the second derivative spectrum prediction set is 0.999, and the year prediction error is 0.79 years. The research results will provide a convenient optical means for the year calibration of liquor, and also provide an important reference for the study of fluorescence spectrum of multicomponent gradient system.
【作者單位】： 河海大學理學院;江南大學理學院;
【基金】：國家自然科學基金項目(61378037)資助
【分類號】：O657.3;TS262.3
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本文編號：2004238