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4材料催化發(fā)光光譜陣列傳感器用于識別咖啡的研究

發(fā)布時間:2018-09-04 17:46
【摘要】:對具有非常相似組成的復(fù)雜混合物進(jìn)行識別一直是分析化學(xué)界研究的熱點和難點,也是對研究人員的挑戰(zhàn)。另一方面,人們對食品的質(zhì)量和安全越來越重視,對食品安全的監(jiān)管不容忽視。所以,發(fā)展精確簡單快捷的分析測試方法,用于食品質(zhì)量的監(jiān)控以及食品真?zhèn)蔚蔫b別是十分必要的。使用化學(xué)傳感器的方法已經(jīng)成為分析測試技術(shù)的重要手段。其中催化發(fā)光(Cataluminescence,CTL)傳感器扮演著重要的角色,CTL是利用有機(jī)物在固體催化材料表面發(fā)生催化氧化反應(yīng)釋放微弱的光的過程。由于不同分析物的擴(kuò)散速率不同、物理或化學(xué)的吸附作用不同,而且不同結(jié)構(gòu)的分析物會產(chǎn)生不同結(jié)構(gòu)的中間體和產(chǎn)物,因此產(chǎn)生的發(fā)光信號不同。在CTL反應(yīng)體系中可以同時方便地收集豐富的信息,如信號強(qiáng)度、反應(yīng)時間、波長、光譜形狀和其他的因素。CTL傳感器為區(qū)分結(jié)構(gòu)相似物提供了有力手段。另外,CTL傳感器不需要光源,避免了散射光干擾問題,同時消除了光源不穩(wěn)定的影響,具有設(shè)備簡單、靈敏度高、分析速度快等優(yōu)點,具有很好的應(yīng)用前景。本論文的主要研究內(nèi)容如下:(1)在一個反應(yīng)密閉體系中,用四種納米催化材料(nano-MgO,nano-Y2O3,nano-Eu2O3,nano-Al2O3)構(gòu)建了一種新型的CTL光譜陣列傳感器。該傳感器和單材料CTL光譜陣列傳感器具有相同大小的體積,卻可以測定更加豐富的CTL信號信息。(2)以識別咖啡這種復(fù)雜混合物為目標(biāo),配置一定濃度的咖啡溶液為待測對象。每種咖啡溶液在該傳感器的一種催化材料上發(fā)生CTL反應(yīng)時,以不同的波長的濾波片為單色器,進(jìn)行波長掃描實驗,CTL反應(yīng)所釋放的在15個波段的光強(qiáng)度被分別記錄下來,我們稱之為單材料CTL光譜陣列;在四種傳感材料上分別發(fā)生CTL反應(yīng)時,可獲得4組不同的光譜陣列,60個發(fā)光強(qiáng)度,我們稱之為4材料CTL光譜陣列。(3)在數(shù)據(jù)的處理方法中,以化學(xué)計量學(xué)為主體,以統(tǒng)計軟件SPSS 20.0為工具,用線性判別分析(LDA)和層次聚類分析(HCA)對7種速溶黑咖啡的單材料CTL光譜陣列進(jìn)行分類,然后再用LDA和HCA對7種速溶黑咖啡的4材料CTL光譜陣列進(jìn)行分析。結(jié)果表明,對單材料CTL光譜陣列的LDA和HCA兩種分析方法均能使7種咖啡較好的分類,但以4材料CTL光譜陣列為分析對象時,分類效果更加明顯。(4)用LDA和HCA方法對14種混合咖啡的單材料CTL光譜陣列進(jìn)行分析,大部分咖啡被識別,但無法達(dá)到14種咖啡完全正確分類的目的。用LDA方法對2材料CTL光譜陣列、3材料CTL光譜陣列、4材料CTL光譜陣列分析,結(jié)果表明隨著CTL光譜陣列的增加,不同咖啡之間的分界線越來越明顯,14種咖啡被準(zhǔn)確歸類。用HCA進(jìn)行同樣的處理,得到了同樣的結(jié)果。(5)對不同咖啡的CTL反應(yīng)機(jī)理進(jìn)行了初步探討。咖啡中所含不同物質(zhì)發(fā)生的CTL反應(yīng)不同、所產(chǎn)生的光信號也不相同。CTL光譜陣列是很多種含量不同的物質(zhì)在一定條件下發(fā)生CTL反應(yīng)時,所產(chǎn)生的光總和的記錄。當(dāng)反應(yīng)外界條件、催化材料的使用等發(fā)生變化時,均會使CTL反應(yīng)的光譜陣列存在不同。進(jìn)而達(dá)到識別的目的。本研究用4材料CTL光譜陣列傳感器成功鑒別了成分復(fù)雜的咖啡混合物,為具有相似組分混合物的鑒別提供了新的參考方法。針對不同的混合物的性質(zhì)制作多材料CTL光譜陣列傳感器,可以對混合物進(jìn)行很好的識別。
[Abstract]:Recognition of complex mixtures with very similar compositions is always a hot and difficult topic in analytical chemistry and a challenge to researchers. On the other hand, people pay more and more attention to the quality and safety of food, and the supervision of food safety can not be ignored. It is necessary to monitor the quality of food and identify the authenticity of food. The use of chemical sensors has become an important means of analysis and testing technology. Cataluminescence (CTL) sensors play an important role. CTL is the use of organic compounds on the surface of solid catalytic materials catalytic oxidation reaction release weak. The process of light. Different analytes have different diffusion rates, different physical or chemical adsorption, and different structures of analytes produce different structures of intermediates and products, thus producing different luminescent signals. In CTL reaction systems, abundant information such as signal intensity, reaction time, and wave can be easily collected at the same time. In addition, the CTL sensor does not need light source, avoids the problem of scattering light interference, and eliminates the influence of light source instability. It has the advantages of simple equipment, high sensitivity, fast analysis speed and so on. It has a good application prospect. The main research contents are as follows: (1) A novel CTL spectral array sensor was constructed in a closed reaction system using four kinds of nano-catalytic materials (nano-MgO, nano-Y2O3, nano-Eu2O3, nano-Al2O3). In order to identify the complex mixture of coffee, a certain concentration of coffee solution was allocated as the object to be tested. When each coffee solution reacted with CTL on one of the catalytic materials of the sensor, a wavelength scanning experiment was carried out with different wavelength filter as monochromator. The intensity of light released by the CTL reaction in 15 bands was recorded separately. When CTL reaction occurs on four kinds of sensing materials, four groups of different spectral arrays and 60 luminous intensity can be obtained, which we call the CTL spectral array of four materials. (3) In the data processing method, stoichiometry is the main body, and statistical software SPSS 20.0 is the tool, linear discrimination is used. Analysis (LDA) and Hierarchical Cluster Analysis (HCA) were used to classify the CTL spectral arrays of seven instant black coffees, and then the CTL spectral arrays of four materials of seven instant black coffees were analyzed by LDA and HCA. The results showed that both LDA and HCA could classify the seven kinds of coffees better, but the four materials were used to classify the four kinds of instant black coffees. Fourteen kinds of mixed coffee were analyzed by LDA and HCA. Most coffees were identified, but 14 kinds of coffees could not be classified correctly. Two kinds of CTL spectral arrays, three kinds of CTL spectral arrays, four kinds of CTL spectral arrays were classified by LDA. Column analysis showed that with the increase of CTL array, the boundaries between different coffees became more and more obvious, and 14 kinds of coffees were accurately classified. The same results were obtained by the same treatment with HCA. (5) The mechanism of CTL reaction of different coffees was preliminarily discussed. CTL spectroscopic array is a record of the total amount of light produced by CTL reaction under certain conditions. When the external conditions of reaction and the use of catalytic materials change, the spectral array of CTL reaction will be different. Spectral array sensors have successfully identified coffee mixtures with complex components, providing a new reference method for identifying coffee mixtures with similar components.
【學(xué)位授予單位】:廣州大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:O657.3;TS273

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相關(guān)期刊論文 前5條

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