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物联网-智慧传输-基于聚多巴胺纳米材料和酶促循环放大策略的荧光生物传感新方法研究.pdf
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物联网-智慧传输-基于聚多巴胺纳米材料和酶促循环放大策略的荧光生物传感新方法研
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摘要
I
摘要
核酸、生物酶、蛋白质以及生物小分子等参与许多重要的生物学过程,生物
分子的检测平台受到了越来越多的关注。光学生物传感器由于具有灵敏度高、检
测限低、特异性好和准确度高等优异性能被广泛用于生物分子的检测。聚多巴胺
纳米材料因其合成方法简单,并且具有独特的光学性能、吸附特性、粘附性能、
良好的生物相容性和可生物降解性,成为生物传感应用的新兴材料。本论文结合
聚多巴胺纳米材料和核酸酶辅助靶标循环扩增策略的优势,构建了一系列新型荧
光传感方法用于生物分子的检测。具体包括以下三个方面:
1、构建基于聚多巴胺纳米管(PDANTs)和 λ 核酸外切酶(λ exo)的新型
荧光传感方法检测 T4 多核苷酸激酶 (T4 PNK)。聚多巴胺纳米管能快速吸附单
链 DNA (ssDNA),并可猝灭其标记的荧光基团,而对双链 DNA (dsDNA)的亲和
力较小。当体系中引入 T4 PNK 后,T4 PNK 使 dsDNA 的 5′-末端磷酸化,产生 5′-
磷酰基末端产物,λ exo 会水解 dsDNA 的 5′-磷酰基末端产物,并释放 ssDNA。
ssDNA 上标记的荧光基团和聚多巴胺纳米管之间产生能量共振转移(FRET)效
应,荧光强度降低。基于上述策略,本体系成功建立了一种高灵敏检测 T4 PNK
及其抑制剂的荧光传感方法,检测限低至 0.01 U/mL,线性范围为 0.01 至 50 U/mL。
同时,在复杂生物环境中成功检测了 T4 PNK,表明了该方法在生物医学和药物
筛选方面具有巨大的潜力。
2、构建基于聚多巴胺纳米管(PDANTs)和核酸外切酶 I(Exo I)的循环放
大策略检测细胞色素 C(cyt C)。 聚多巴胺纳米管能够快速吸附 cyt C 的适配体,
并猝灭其标记的荧光基团。当体系中引入目标物 cyt C 后,cyt C 能特异性结合
PDANTs 表面吸附的适配体,导致荧光信号增强。Exo Ⅰ是作用于单链的核酸外切
酶,其切割脱离聚多巴胺纳米管表面的 cyt C 的适配体,释放的目标物 cyt C 继
续结合 PDANTs 表面吸附的适配体,实现荧光信号放大。基于上述策略,本体
系成功建立了一种高灵敏检测 cyt C 的荧光传感方法,检测限低至 0.003 μM,线
性范围为 0.01-100 μM。本方法实现了在复杂系统中对细胞色素 C 的检测,表明
了该方法可以用来监测细胞凋亡来研究某些细胞水平的疾病。
3、构建基于聚多巴胺纳米管(PDANTs)和 脱氧核糖核酸酶 I(DNase I)辅
助靶标循环放大平台检测 microRNA。聚多巴胺纳米管能够快速吸附单链 DNA,
并猝灭其标记的荧光基团。当体系中引入目标物 microRNA 后,microRNA 能快
速结合聚多巴胺纳米管表面上吸附的互补序列,形成 RNA-DNA 双链结构,从
纳米管表面脱落,导致荧光恢复。DNase I 只作用切割 RNA-DNA 双链结构中的
万方数据
摘要
II
DNA 链,而对 RNA 链无活性作用。释放的 microRNA 继续结合 PDANTs 表面
吸附的互补序列,实现信号放大策略。基于上述策略,本体系成功建立了简单快
速、高灵敏检测 microRNA 的方法,检测限为 0.01 nM。此外,该实验方法可以
在血清中直接进行 microRNA 样品分析,表明了该方法在临床诊断方面具有巨大
潜力。
关键词:荧光传感方法;聚多巴胺;能量共振转移;循环放大;脱氧核糖核酸酶
I;核酸外切酶 I;T4 PNK;抑制剂;细胞色素 C;MicroRNA。
万方数据
Abstract
III
Abstract
Nucleic acids, biological enzymes, proteins, and small biological molecules are
involved in many important biological processes. The analysis and detection of
biological molecules has received more and more attention. Optical biosensors are
widely used for the detection of biomolecules due to their excellent properties such as
high sensitivity, low detection limit, good specificity and high accuracy.
Polydopamine is the material of choice for biosensing applications due to its simple
synthesis method, unique optical properties, adsorption properties, adhesion
properties, and good biocompatibility and biodegradability. Combining the
advantages of polydopamine and nuclease-assisted target circular amplification
strategies, a series of new fluorescence sensing methods have been constructed for the
detection of biomolecules. The specific content includes the following three aspects:
1. A new fluorescence sensing method based on polydopamine nanotubes
(PDANTs) and λ exonuclease (λ exo) was constructed to detect T4 polynucleotide
kinase (T4 PNK). PDANTs can quickly adsorb ssDNA and quench its fluorescence,
but have less affinity for dsDNA. When T4 PNK is introduced into the system, T4
PNK phosphorylates the 5′-terminus of dsDNA to produce a 5′-phosphoryl end
product. λ exo hydrolyzes the 5′-phosphoryl end product of dsDNA and releases
ssDNA. The energy resonance transfer (FRET) effect occurs between the labeled
fluorophore and PDANTs on ssDNA, and the fluorescence intensity decreases. Based
on the above strategy, this system successfully established a highly sensitive
fluorescence sensing method for the detection of T4 PNK and its inhibitors. The
detection limit of this method is 0.01 U/mL, and the linear range is 0.01 to 50 U/mL.
At the same time, this method has achieved the detection of T4 PNK in complex
systems, indicating that this method has great potential in biomedical and drug
screening.
2. A circular amplification strategy based on polydopamine nanotubes (PDANTs)
and exonuclease I (Exo I) was constructed to detect cytochrome C (cyt C). PDANTs
can rapidly adsorb aptamers of cyt C and quench their fluorescence. When the target
cyt C is introduced into the system, cyt C can specifically bind to its aptamer adsorbed
on the surface of PDANTs, and the fluorescence signal is enhanced. Exo Ⅰ is a
万方数据
Abstract
IV
single-stranded exonuclease that cleaves the aptamer of cyt C off the surface of
PDANTs, releases cyt C into the next cycle, and the fluorescence signal is stronger.
Based on the above strategy, this system successfully established a highly sensitive
fluorescence sensing method for detecting cyt C. The detection limit of this method is
0.003 μM, and the linear range is 0.01-100 μM. This method enables the detection of
cyt C in complex systems, indicating that the method can be used to monitor cell
apoptosis to study certain cell-level diseases.
3. Construction of a circular amplification platform based on polydopamine
nanotubes (PDANTs) and DNase I assisted target detection to detect microRNAs.
PDANTs can rapidly adsorb DNA probes and quench their fluorescence. When the
target microRNA is introduced into the system, the microRNA can quickly bind to the
complementary sequence adsorbed on the surface of the polydopamine nanotubes to
form an RNA-DNA double-stranded structure, which is detached from the nanotube
surface, resulting in fluorescence recovery. The DNase I only acts to cleave the DNA
strand in the RNA-DNA double-stranded structure, but has no activity on the RNA
strand. The released microRNA continues to bind to the complementary sequences
adsorbed on the surface of PDANTs to implement a signal amplification strategy.
Based on the above strategy, the system has successfully established a highly sensitive
method for detecting microRNAs with a detection limit as low as 0.01 nM. This
method has the advantages of simple and fast, high sensitivity and low detection limit.
In addition, the experimental method can be used to analyze microRNA samples
directly in serum, indicating that the method has great potential for clinical diagnosis.
Keywords: Fluorescence sensing method; Polydopamine; Energy resonance transfer;
Cyclic amplification; DNase I; Exonuclease I; T4 PNK; Inhibitor; Cytochrome C;
MicroRNA.
万方数据
目录
V
目录
摘要 ............................................................................................................. I
Abstract .................................................................................................... III
目录 ............................................................................................................ V
第一章 绪论............................................................................................... 1
1.1 聚多巴胺纳米材料......................................................................................... 1
1.1.1 聚多巴胺纳米材料简介 ........................................................................................ 1
1.1.2 聚多巴胺纳米材料合成 ........................................................................................ 1
1.1.3 聚多巴胺纳米材料形成机理 ................................................................................ 2
1.1.4 聚多巴胺纳米材料表面修饰 ................................................................................ 3
1.1.5 聚多巴胺纳米材料性质 ........................................................................................ 4
1.1.6 聚多巴胺纳米材料应用 ........................................................................................ 5
1.2 荧光生物传感器............................................................................................. 7
1.2.1 荧光生物传感器简介 ............................................................................................ 7
1.2.2 荧光产生的原理 .................................................................................................... 9
1.2.3 基于荧光共振能量转移的荧光生物传感器 ........................................................ 9
1.3 基于核酸酶的信号放大策略....................................................................... 11
1.3.1 核酸酶的简介 ...................................................................................................... 12
1.3.2 基于核酸外切酶的信号放大策略 ...................................................................... 12
1.3.3 基于核酸内切酶的信号放大策略 ...................................................................... 14
1.3.4 基于聚合酶的信号放大策略 .............................................................................. 14
1.3.5 基于连接酶的信号放大策略 .............................................................................. 15
1.4 立题依据与主要内容................................................................................... 16
万方数据
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