本文選題：陣列圖譜技術(shù)　切入點：量子點　出處：《湖南大學(xué)》2015年碩士論文

【摘要】：陣列圖譜分析技術(shù),又稱為“化學(xué)鼻/舌頭”,采用人工模擬嗅覺/味覺系統(tǒng)的傳感模式,構(gòu)建陣列圖譜位點,基于不同傳感位點的微分差異,實現(xiàn)目標物的區(qū)分與檢測。該方法具有簡單快速、高通量、便于微型組裝等特點,在食品安全、生物醫(yī)學(xué)檢測、環(huán)境監(jiān)測等領(lǐng)域具有潛在的應(yīng)用前景。目前,納米材料因為具有高比表面積、便于生物修飾與功能化等特點,將納米材料應(yīng)用于陣列圖譜探針的構(gòu)建,為陣列圖譜技術(shù)的發(fā)展提供了新的契機。量子點(QDs)具有獨特的尺寸依賴的光物理性質(zhì),作為優(yōu)異的熒光探針,已廣泛應(yīng)用于化學(xué)生物傳感、生物醫(yī)學(xué)成像、化學(xué)催化等領(lǐng)域。本論文以陣列圖譜分析作為出發(fā)點,采用量子點熒光納米顆粒作為信號探針,發(fā)展對不同核酸堿基、血清蛋白質(zhì)等重要生物分子的區(qū)分與檢測技術(shù),主要開展了以下兩個方面的工作:1.基于不同核酸堿基對量子點激子能量轉(zhuǎn)移效應(yīng)的微分差異,發(fā)展了量子點的熒光陣列圖譜方法,實現(xiàn)了不同核酸堿基的識別與區(qū)分。分別以巰基乙酸、2-二甲胺基乙硫醇鹽酸鹽、巰基乙胺和N-乙�；�-L-半胱氨酸四種不同配體合成了不同表面功能化的水溶性量子點,量子點分別與ATCGU五種核酸堿基構(gòu)成陣列圖譜。核酸堿基誘導(dǎo)量子點發(fā)生團聚與自組裝,引起量子點之間的激子能量轉(zhuǎn)移效應(yīng),導(dǎo)致量子點發(fā)生不同程度的熒光淬滅與發(fā)射波長紅移。以量子點熒光強度為響應(yīng)信號,基于不同量子點與不同核酸堿基的微分差異作用,采用線性判別分析,實現(xiàn)了五種不同核酸堿基的識別,并構(gòu)建了核酸堿基區(qū)分的識別條形碼;基于該方法進一步實現(xiàn)了不同稀有核酸堿基的快速區(qū)分。在該量子點陣列圖譜中,量子點既作為熒光響應(yīng)單元,又作為識別單元,提供了一種簡單和無標記的生物傳感方法,為量子點的生物傳感和陣列圖譜技術(shù)提供了新的平臺。2.基于不同血清蛋白對于量子點納米膠束的刺激響應(yīng)作用,發(fā)展了量子點熒光共振能量轉(zhuǎn)移的熒光陣列圖譜方法,實現(xiàn)了不同血清蛋白質(zhì)的識別與區(qū)分。4種不同表面活性劑(十二烷基磺酸鈉、十二烷基肌氨酸鈉、十六烷基三甲基溴化銨、十二烷基三甲基溴化銨)與4種聚電解質(zhì)(聚甲基丙烯酸鈉、聚苯乙烯磺酸鈉-馬來酸共聚物、聚二烯丙基二甲基氯化銨、聚烯丙基胺鹽酸鹽)進行組合,基于超分子自組裝方法制備了7種納米膠束,并同步包被量子點-Texas Red?DHPE的熒光共振能量供體受體對。5種不同的血清蛋白質(zhì)(免疫球蛋白,人血清白蛋白,a-抗胰蛋白酶,纖維蛋白原,運鐵蛋白)分別與7種納米膠束作用,誘導(dǎo)納米膠束發(fā)生組裝變化,導(dǎo)致熒光染料的熒光變化�；诹孔狱c納米膠束與不同血清蛋白質(zhì)的微分差異作用,構(gòu)建了基于量子點的陣列圖譜技術(shù),結(jié)合線性判別分析,實現(xiàn)了5種血清蛋白質(zhì)的陣列區(qū)分。對于未知濃度的蛋白質(zhì)樣品,采用吸光度濃度歸一化方法,也達到了有效地辨別與區(qū)分。該陣列圖譜方法設(shè)計靈活,信號靈敏,有望應(yīng)用于血清蛋白質(zhì)實際樣品的檢測與區(qū)分。基于量子點納米膠束的可控組裝,也為納米膠束組裝研究提供重要的參考價值。
[Abstract]:The array map analysis technology, also known as "chemical nose / tongue", the sensing mode of artificial olfactory and gustatory system, construction sites of different array atlas, differential sensing sites based on the implementation of differentiated and detection of the target. This method is simple and rapid, high throughput, easy to micro assembly, biomedical detection in food safety, and has potential applications in the field of environmental monitoring. At present, because the nanometer material has high specific surface area, easy modification and functional features of bio, nano materials used in construction of the map array probe, provide a new opportunity for the development of array technology. Quantum dots (QDs) with light depending on the size of the unique physical properties, excellent as a fluorescent probe, has been widely used in chemical and biological sensing, biomedical imaging, chemical catalysis and other fields. This paper analysis to array map As a starting point, by using quantum dot fluorescent nanoparticles as probe signal, development base on different nucleic acids, distinguish and detection of important biological molecules of serum proteins, mainly carried out the following two aspects: 1. based on different nucleic acid bases to differential difference transfer effect of excitons in quantum dots, fluorescence spectrum array development the method of quantum dots, can identify and distinguish different nucleobases. Respectively using thioglycolic acid, 2- two methylamino mercaptar hydrochloride, four different ligands Mercaptoethylamine and N- acetyl -L- cysteine was synthesized with different surface functionalization of water soluble quantum dots, quantum dots and ATCGU five arrays of nucleic acid bases Atlas of quantum dots aggregation and self-assembly induced by nucleic acid bases, caused by the exciton energy transfer between quantum effect, quantum dot fluorescence quenching leads to different degrees of destruction and Redshift of emission wavelength. The fluorescence intensity of quantum dots as response signal, differential difference of quantum dots with different nucleic acid bases based on the effect of using linear discriminant analysis, to achieve the recognition of five different nucleic acid bases, and the construction of the nucleic acid bases distinguish identification bar code; based on this method and further realize the rapid distinction between different nucleobases rare in the quantum dot arrays of quantum dots as fluorescent response units, and as recognition unit, provides a simple and label free biosensing method, fingerprint technology provides a new platform for.2. stimulation of different serum protein quantum dot nano micelles response based on quantum dots and biological sensor array the development of the column, fluorescent quantum dots array method of fluorescence resonance energy transfer, to achieve the recognition of different serum proteins and distinguish between different.4 surfactants (ten Two sodium dodecyl sulfate, twelve alkyl sarcosinate, sixteen alkyl three methyl bromide, twelve alkyl three methyl bromide) and 4 kinds of polyelectrolyte (poly methacrylic acid sodium polystyrene sulfonate - maleic acid copolymer, poly diallyl dimethyl ammonium chloride two, polyallylamine hydrochloride) combination the supramolecular self-assembly method of 7 kinds of nano micelles were prepared based on the synchronous and coated -Texas quantum dots Red? DHPE fluorescence resonance energy donor receptor on.5 in serum of different protein (immunoglobulin, human serum albumin, a- antitrypsin, fibrinogen and transferrin) respectively with 7 nano micelles effect induced by nano micelle assembly changes lead to fluorescence change of fluorescent dye. The differential difference of quantum dot nano micelles with different serum proteins based on constructed array mapping technique based on quantum dots, combined with linear discriminant Analysis of 5 serum protein array achieved distinction. For an unknown concentration of protein samples, the absorbance concentration normalization method, also can effectively identify and distinguish. The array mapping method of flexible design, signal sensitivity, detection and differentiation of serum protein is expected to be applied to the actual sample assembly. Controllable quantum dot nano micelles based on, but also provide an important reference value for the assembly of nano micelles.

【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TB383.1;O657.3

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