【摘要】：保鮮膜能提高果蔬保水性,隔絕外界細(xì)菌侵染,延長(zhǎng)貨架期。為了準(zhǔn)確估測(cè)覆蓋保鮮膜果蔬品質(zhì)的優(yōu)劣,對(duì)其貨架期進(jìn)行預(yù)測(cè)具有重要意義。應(yīng)用高光譜技術(shù)結(jié)合化學(xué)計(jì)量學(xué)方法對(duì)同等貯藏條件下覆膜新鮮菠菜葉片的貨架期進(jìn)行了預(yù)測(cè)。先采集五個(gè)不同貯藏時(shí)間下75盤(pán)共300片菠菜樣本在可見(jiàn)-近紅外(VisNIR,380~1 030nm)與近紅外(NIR,874~1 734nm)波段的高光譜數(shù)據(jù),然后測(cè)定不同貯藏時(shí)間下菠菜葉片葉綠素含量。提取300片覆膜菠菜葉片的平均光譜(200個(gè)為建模集,100個(gè)為預(yù)測(cè)集)后,對(duì)建模集光譜進(jìn)行主成分分析(principal component analysis,PCA),發(fā)現(xiàn)不同貯藏期內(nèi)葉片光譜數(shù)據(jù)在前3個(gè)主成分空間有一定的聚類(lèi)。根據(jù)建模集光譜信息與預(yù)先賦予的不同貯藏期虛擬等級(jí)分別建立偏最小二乘判別分析(partial least squares discriminant analysis,PLS-DA)模型,得到預(yù)測(cè)集樣本的貯藏期總的判別準(zhǔn)確率分別為83%(Vis-NIR)和81%(NIR)。表明,高光譜技術(shù)結(jié)合化學(xué)計(jì)量學(xué)方法能夠?qū)崿F(xiàn)對(duì)新鮮菠菜貨架期的分類(lèi)和預(yù)測(cè),為消費(fèi)者正確評(píng)價(jià)覆蓋保鮮膜的菠菜品質(zhì)提供了理論指導(dǎo),也為后期果蔬貨架期檢測(cè)儀器的開(kāi)發(fā)提供了技術(shù)支持。
[Abstract]:Fresh-keeping film can improve the water retention of fruits and vegetables, isolate the infection of external bacteria, and prolong the shelf life. In order to accurately estimate the quality of fruits and vegetables covered with fresh-keeping film, it is of great significance to predict the shelf life of fruits and vegetables covered with fresh-keeping film. The shelf life of fresh spinach leaves covered with film under the same storage conditions was predicted by hyperspectral technique combined with chemometrics. The hyperspectral data of 75 spinach samples in visible-near-infrared (VisNIR,380~1 030nm) and near-infrared (NIR,874~1 734nm) bands were collected at five different storage times, and then the chlorophyll content of spinach leaves was measured at different storage times. After extracting the average spectrum of 300 spinach leaves covered with film (200 as modeling set and 100 as prediction set), the principal component analysis (principal component analysis,PCA) of the modeling set spectrum was carried out. It was found that the leaf spectral data had certain clustering in the first three principal component spaces during different storage periods. According to the spectral information of the modeling set and the virtual grades given in advance for different storage periods, the partial least squares discriminant analysis (partial least squares discriminant analysis,PLS-DA) models are established respectively. the total discriminant accuracy of the predicted set samples is 83% (Vis-NIR) and 81% (NIR)., respectively. The results show that hyperspectral technology combined with chemometrics can realize the classification and prediction of shelf life of fresh spinach, which provides theoretical guidance for consumers to correctly evaluate the quality of spinach covered with fresh-keeping film, and also provides technical support for the development of shelf life testing instruments for fruits and vegetables in the later period.
【作者單位】： 浙江大學(xué)生物系統(tǒng)工程與食品科學(xué)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61273062) 國(guó)家高科技研究發(fā)展計(jì)劃“863”項(xiàng)目(2013AA102301)資助
【分類(lèi)號(hào)】：O657.3;TS255.7

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