發(fā)布時(shí)間：2018-06-10 18:50

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

【摘要】：年份白酒現(xiàn)已成為企業(yè)開(kāi)發(fā)重點(diǎn),但年份標(biāo)準(zhǔn)有較大的隨意性,建立年份標(biāo)準(zhǔn)已成為規(guī)范行業(yè)和市場(chǎng)的迫切需要�；谀称放圃瓭{白酒的三維熒光光譜,對(duì)白酒年份預(yù)測(cè)模型進(jìn)行了研究。研究?jī)?nèi)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(guān)性。研究發(fā)現(xiàn):0.5年與其他年份白酒的三維熒光光譜之間的相關(guān)系數(shù)達(dá)0.811 4;原始光譜中年份信息主要分布在激發(fā)波長(zhǎng)為200~230和250~320nm、發(fā)射波長(zhǎng)為400~500nm的光譜區(qū);導(dǎo)數(shù)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(guān)性。研究表明:原始光譜具有嚴(yán)重的多重共線性,在400~600nm的區(qū)間內(nèi),相關(guān)系數(shù)接近1;求導(dǎo)能提高光譜分辨能力并降低多重共線性,二階導(dǎo)數(shù)具有更好的抑制多重共線性的作用,相關(guān)系數(shù)大部分小于0.6。最后,基于量子遺傳算法-小波神經(jīng)網(wǎng)絡(luò)研究了激發(fā)波長(zhǎng)為300nm的白酒年份預(yù)測(cè)模型,并提出了光譜建模信息密度的概念。研究發(fā)現(xiàn):原始光譜年份預(yù)測(cè)誤差達(dá)5.4年,效果最差,其原因是原始光譜具有嚴(yán)重的多重共線性以及光譜與年份的相關(guān)性不顯著;導(dǎo)數(shù)光譜具有更高的信息密度和更好的建模效果,二階導(dǎo)數(shù)光譜預(yù)測(cè)集的相關(guān)系數(shù)達(dá)0.999 8,年份預(yù)測(cè)誤差達(dá)0.79年。研究成果將為白酒年份標(biāo)定提供一種便捷的光學(xué)手段,同時(shí)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(xué)理學(xué)院;江南大學(xué)理學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61378037)資助
【分類號(hào)】：O657.3;TS262.3
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本文編號(hào)：2004238