本文關(guān)鍵詞：智能便攜式C-反應(yīng)蛋白熒光檢測(cè)系統(tǒng)　出處：《湖南師范大學(xué)》2016年碩士論文　論文類(lèi)型：學(xué)位論文

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【摘要】：C-反應(yīng)蛋白(C-reactive protein,CRP)是一種可與肺炎球菌細(xì)胞壁C-多糖反應(yīng),形成復(fù)合沉淀物的非抗體急性時(shí)相蛋白質(zhì),常常作為判斷機(jī)體炎癥狀況的標(biāo)記,廣泛應(yīng)用于臨床醫(yī)學(xué)檢測(cè)中。近幾十年國(guó)際醫(yī)學(xué)界研究發(fā)現(xiàn),CRP不僅反應(yīng)機(jī)體炎癥狀況,也是心臟病、高血壓、動(dòng)脈粥樣硬化等心血管類(lèi)疾病的預(yù)警因子,定量檢測(cè)其在血液中濃度,對(duì)預(yù)防和控制此類(lèi)疾病有非常重要的實(shí)際意義。為了能準(zhǔn)確、快速、簡(jiǎn)便地檢測(cè)CRP濃度,本論文設(shè)計(jì)并實(shí)現(xiàn)了一種基于熒光檢測(cè)的CRP免疫層析檢測(cè)系統(tǒng),該系統(tǒng)基于免疫標(biāo)記技術(shù)、層析技術(shù)和熒光示蹤檢測(cè)技術(shù),通過(guò)檢測(cè)熒光標(biāo)記熒光淬滅釋放的熒光光強(qiáng),結(jié)合光強(qiáng)-濃度定量模型,實(shí)現(xiàn)對(duì)目標(biāo)CRP抗原濃度的定量檢測(cè)。論文內(nèi)容主要分以下幾個(gè)部分:1、介紹CRP的檢測(cè)背景意義及國(guó)內(nèi)外的檢測(cè)現(xiàn)狀,通過(guò)對(duì)比常用的檢測(cè)方法,提出本文采用的熒光檢測(cè)方法,并闡述該方法的發(fā)展歷史、發(fā)展現(xiàn)狀和發(fā)展趨勢(shì)。2、詳細(xì)介紹本文熒光檢測(cè)系統(tǒng)的工作原理,并闡述了系統(tǒng)的設(shè)計(jì)構(gòu)架,包括檢測(cè)平臺(tái)組成、指標(biāo)參數(shù)和影響因素。3、介紹檢測(cè)系統(tǒng)的硬件設(shè)計(jì),包括處理器資源分配,電源模塊設(shè)計(jì),USB掃描設(shè)備、激發(fā)光源設(shè)備及步進(jìn)電機(jī)設(shè)備的驅(qū)動(dòng)設(shè)計(jì),信號(hào)調(diào)理電路設(shè)計(jì)、屏幕顯示模塊設(shè)計(jì)等。4、介紹系統(tǒng)的軟件設(shè)計(jì)。首先介紹了軟件系統(tǒng)的整體框架,然后描述了系統(tǒng)檢測(cè)流程,接著以系統(tǒng)開(kāi)機(jī)檢測(cè)為主線(xiàn),介紹了系統(tǒng)開(kāi)機(jī)硬件初始化、USB條碼掃描、電機(jī)驅(qū)動(dòng)檢測(cè)、結(jié)果保存等功能的軟件設(shè)計(jì),最后闡述軟件實(shí)現(xiàn)系統(tǒng)定量檢測(cè)的兩個(gè)數(shù)據(jù)處理算法。5、對(duì)研制出來(lái)的檢測(cè)儀進(jìn)行多次試驗(yàn)分析。實(shí)驗(yàn)證明:該檢測(cè)儀穩(wěn)定性好、定量精準(zhǔn),RSD小于3%,最小可檢測(cè)濃度為0.46mg/L,常規(guī)定量檢測(cè)范圍內(nèi),系統(tǒng)誤差小于3%,符合臨床醫(yī)學(xué)檢測(cè)需求。6、對(duì)全文進(jìn)行了總結(jié),并展望該檢測(cè)儀發(fā)展改進(jìn)的方向。
[Abstract]:C- C-reactive protein (CRP) is a non antibody acute phase protein that can react with pneumococcus cell wall C- polysaccharide to form complex precipitates. It is often used as a marker for judging the inflammatory state of the body, and is widely used in clinical medicine detection. Found in international medicine research in recent decades, CRP not only reflect the inflammatory status, predictors of heart disease, hypertension, atherosclerosis and other cardiovascular diseases, quantitative detection of its concentration in the blood, for the prevention and control has very important practical significance to this kind of disease. In order to accurately and quickly and easily detect the concentration of CRP, this paper designs and implements a CRP immune chromatography fluorescence detection detection system based on the immune system, labeling technique, chromatography and fluorescence tracer detection technique based on fluorescence quenching of fluorescence by detecting the fluorescence intensity of the release, combined with light concentration quantitative model and realize the quantitative detection of target CRP antigen concentration. The contents of the paper are mainly divided into the following parts: 1, introduce the background and significance of CRP detection and the detection status at home and abroad. By comparing the commonly used detection methods, we propose the fluorescence detection method adopted in this paper, and elaborate the development history, development status and development trend of this method. 2. The principle of the fluorescence detection system in this paper is introduced in detail, and the design framework of the system is described, including the composition of the detection platform, the parameters of the index and the influencing factors. 3, introduce the hardware design of the detection system, including processor resource allocation, power module design, USB scanning device, excitation source device and stepper motor drive design, signal conditioning circuit design, screen display module design, etc. 4. Introduce the software design of the system. First introduces the overall framework of the software system, and then describes the system testing process, and then to start testing system as the main line, introduces the software design of the system hardware boot initialization, USB bar code scanning, motor drive detection, save the results and other functions of the system, and finally realize the quantitative detection of the two data processing algorithm of software. 5. Test and analyze the developed detector many times. The experiment proved that the detector is stable and accurate. The RSD is less than 3%, and the minimum detectable concentration is 0.46mg/L. Within the conventional quantitative detection range, the system error is less than 3%, which accords with the needs of clinical medicine detection. 6. Summarize the full text and look forward to the direction of the development and improvement of the detector.
【學(xué)位授予單位】：湖南師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類(lèi)號(hào)】：TH773
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本文編號(hào)：1347002