本文選題：豆類 + 傅里葉變換紅外光譜��； 參考：《云南師范大學(xué)》2016年碩士論文

【摘要】：我國(guó)豆類資源豐富,品種多樣,產(chǎn)地各異,對(duì)豆類的鑒別分類、以及成分、微量元素分析,有助于豆類的營(yíng)養(yǎng)價(jià)值、食療作用的深入研究。本文利用傅里葉紅外光譜(FTIR)、二維相關(guān)紅外光譜(2D-IR)、電感耦合等離子質(zhì)譜(ICP-MS)結(jié)合化學(xué)計(jì)量學(xué)對(duì)不同品種不同產(chǎn)地的豆類(菜豆族大豆屬的黃豆和黑豆,野豌豆族野豌豆屬的蠶豆和豌豆,菜豆族菜豆屬的白蕓豆、奶花蕓豆、黑蕓豆、雀蛋豆、紫花蕓豆和紅豆,菜豆族豇豆屬的紅小豆和綠豆)進(jìn)行研究。紅外光譜結(jié)果顯示,豆類的紅外光譜圖大體相似,主要由蛋白質(zhì)、脂類和碳水化合物的吸收峰組成。二階導(dǎo)數(shù)譜在1800~800 cm-1范圍內(nèi)有較大的差異,利用SPSS軟件對(duì)該范圍的光譜圖進(jìn)行相關(guān)分析、主成分分析(PCA)、系統(tǒng)聚類分析(HCA),相關(guān)系數(shù)在0.846到0.967之間,PCA分類正確率為97.1%,HCA正確率達(dá)97.2%;主成分分析結(jié)果、聚類分析的結(jié)果與相關(guān)分析結(jié)果相吻合。對(duì)1700~1600 cm-1范圍的原始光譜進(jìn)行曲線擬合處理,酰胺Ⅰ帶擬合出了9個(gè)子峰,不同豆類子峰面積比有差異,說(shuō)明不同品種豆的蛋白質(zhì)的二級(jí)結(jié)構(gòu)含量不同。以溫度為擾動(dòng)獲得的二維相關(guān)紅外光譜圖結(jié)果顯示在860~1250 cm-1、1400~1700 cm-1范圍內(nèi)自動(dòng)峰的位置、個(gè)數(shù)和強(qiáng)度存在明顯差別。ICP-MS測(cè)試結(jié)果顯示,豆類中含有P、Zn、Fe、Mn、Mg、Ca、Cu、Na、K等多種礦質(zhì)元素,其中P、Mg、K的含量較高,K元素含量是9種元素中最高的。大豆屬中的礦質(zhì)元素與野豌豆屬、菜豆屬和豇豆屬的礦質(zhì)元素相比較豐富;3種常量元素(P、Mg、K)間的相關(guān)性明顯比6種微量元素(Zn、Fe、Mn、Ca、Cu、Na)間關(guān)系密切。研究結(jié)果表明,FTIR、2D-IR、ICP-MS為豆類的營(yíng)養(yǎng)成分研究、深入加工提供了信息參考。
[Abstract]:China is rich in legume resources, variety and origin. The identification and classification of legumes, as well as the analysis of components and trace elements, are helpful for the further study of nutritional value and therapeutic effect of legumes. In this paper, Fourier transform infrared spectroscopy (FTIR), two-dimensional correlation infrared spectroscopy (2D-IRN), inductively coupled plasma mass spectrometry (ICP-MS) and chemometrics were used to study the effects of chemical metrology on soybean (Soybean and black bean) from different varieties and different habitats. The study was carried out on broad bean and pea of wild pea genus, white kidney bean, milkflower kidney bean, black kidney bean, sparrow egg bean, purple kidney bean and red bean, red bean and mung bean of cowpea genus. The infrared spectra showed that the infrared spectra of legumes were similar and consisted of the absorption peaks of protein, lipids and carbohydrates. The second derivative spectrum is quite different in the range of 1800 ~ 800 cm-1. The correlation analysis of the spectrum in this range is carried out by using SPSS software. The correlation coefficient is between 0.846 and 0.967, and the correct rate of PCA classification is 97.1and 97.2.The results of principal component analysis and cluster analysis agree well with the results of correlation analysis. The original spectra of 1 700 ~ 1 600 cm-1 were fitted by curve fitting. Nine sub-peaks were fitted with amide I band, and the area ratio of different beans was different, which indicated that the secondary structure content of protein was different in different varieties of beans. The results of two-dimensional correlation infrared spectroscopy obtained by temperature perturbation show that the position of the automatic peak is in the range of 860,1250cm-1n 1400N 1700 cm-1, and the number and intensity of the peaks are obviously different. The results of ICP-MS test show that there are many mineral elements, such as PznznZnFeFeMnMg-Mg-Ca-CuCuNK and so on, in the beans. The content of Mg-K is the highest among 9 elements. The correlation between the mineral elements of the genus Soybean and the mineral elements of the genus Wild pea, the genus of vegetable bean and the genus cowpea is more abundant than that of the six trace elements (Zn-FeFeMn-Ca-Cu-Na). The results showed that FTIRI 2D-IRP-MS could provide information reference for the study of nutritional components and further processing of legumes.
【學(xué)位授予單位】：云南師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TS214;O657.33

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 舒翔;楊軻;吐爾洪·哈斯木;;ICP-MS測(cè)定鷹嘴豆中的微量金屬元素[J];新疆農(nóng)墾科技;2015年07期

2 郭兆萍;王彩萍;趙吉平;侯小峰;郭鵬燕;成玉紅;;試論紅小豆的經(jīng)濟(jì)價(jià)值及產(chǎn)業(yè)化開發(fā)利用[J];農(nóng)業(yè)科技通訊;2015年07期

3 Isao Noda;;Recent developments in two-dimensional (2D) correlation spectroscopy[J];Chinese Chemical Letters;2015年02期

4 杜娟;彭惜媛;馬芳;陳建波;周群;金哲雄;孫素琴;;黑豆和牽牛子紅外光譜的分析與鑒定[J];光譜學(xué)與光譜分析;2014年09期

5 時(shí)有明;李棟玉;劉剛;易時(shí)來(lái);;FTIR研究南方銹病侵染對(duì)玉米葉片中蛋白質(zhì)和碳水化合物的影響[J];光子學(xué)報(bào);2014年09期

6 王明智;;傅立葉紅外光譜儀(FTIR)的基本原理及其應(yīng)用[J];科技風(fēng);2014年06期

7 蔡琳雅;李友杰;劉慧;梁媛;張歡;白晗;鞏江;倪士峰;;豌豆?fàn)I養(yǎng)價(jià)值探析[J];寧夏農(nóng)林科技;2013年07期

8 孟祥麗;張麗芬;張文杰;葉倩倩;;傅立葉變換紅外光譜的應(yīng)用[J];生物技術(shù)世界;2013年07期

9 安然;;黑豆的功效與作用[J];健康向?qū)?2013年03期

10 錢貴明;劉嘉;張引;樊虹霞;趙國(guó)華;;傅立葉變換中紅外光譜在食品快速分析與檢測(cè)中應(yīng)用[J];糧食與油脂;2013年06期

相關(guān)會(huì)議論文 前1條

1 李慰;;微量元素分析方法的研究[A];第二屆泰山微量元素高級(jí)論壇匯編[C];2008年

相關(guān)碩士學(xué)位論文 前1條

1 陳建波;二維相關(guān)紅外光譜差異分析方法及其應(yīng)用研究[D];清華大學(xué);2010年

，

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