基于光电检测与信息处理技术的纳米金免疫层析试条定量测试的研究
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摘要
免疫测定是基础研究和临床检测中应用广泛、分析敏感的一种技术,遍及医学检验的各个领域。随着免疫测定技术的日新月异,许多新技术取代传统的实验方法,纳米金免疫层析试条就是其中一种。
纳米金免疫层析试条具有检测效率高、方法简便、一步完成、无污染、试剂稳定、适用于单人份测定等特点,已受到临床检验界的极大关注,并发展成为临床检验的前沿领域。
但是,目前纳米金免疫层析试条主要用于定性或半定量的快速免疫检测方法中,使试条的临床应用范围受到了限制。因此,纳米金免疫层析试条定量测试的研究具有重要的理论意义与应用价值。
本文从理论上对纳米金免疫层析试条定量测试机理进行研究,以试条光谱峰特性曲线为研究重点,将纳米金免疫层析法与以光纤传感为核心的光电检测技术以及现代信息处理技术相结合,提出了纳米金免疫层析试条智能定量测试的新概念、新思路,从而实现了对纳米金免疫层析试条准确地定量测试,为临床免疫测定提供一种新的、有效的检测手段。本文主要进行以下研究工作:
(1) 探讨纳米金免疫层析试条定量测试机理和光谱峰信号的基本特点,深入分析对定量测试造成影响的各种干扰因素,如生化噪声、光噪声、电噪声等,建立理想光谱峰曲线的数学表达式,研究适合纳米金免疫层析试条智能定量测试的新机理。
(2) 将小波变换、模糊聚类识别和小波神经网络等技术引入纳米金免疫层析试条定量检测中,完成对试条边缘特征提取、噪声信号滤除和曲线拟合等,使现代信息处理技术对纳米金免疫层析试条信号的分析从理论研究走向实际应用。本文提出基于现代信息处理技术的纳米金免疫层析试条智能定量测试新方法,拓展了现代信息处理技术在生物医学领域的应用。
(3) 根据朗伯—比尔定律和互补光原理,利用光电检测系统将纳米金免
Immuno-assay is a sensitive detection technique in the field of clinical diagnostics,especially in medical studies and clinical detection. With the development ofimmuno-assay, traditional detection methods in clinical diagnostics have been replacedby many new techniques. One of such technique is the nano-gold immunochro-matographic assay.
Nano-gold immunochromatographic assays with uncontaminated, simple singlestep detection, stable reagent, and accelerated analyses have been gained greatattention in clinical diagnostics. Such assay has developed to step in the front of thefield in clinical diagnostics.
Currently nano-gold immunochromatographic assay is mainly applied inqualitative and semi-quantitative immuno-detection. Due to the lack of quantitativedetection, the nano-gold immunochromatographic assay is limited in widen applicationin clinical diagnostics. For such reason, it has more practical value to study anano-gold immunochromatographic quantitative assay.
The dissertation put forward a new concept and idea through further study ofdetection principle in nano-gold immunochromatographic assay. The concept and ideaare to combine a nano-gold immunochromatographic assay; a technique ofphoto-electric detection based on optic-fiber sensing, and signal processing, especiallyfocused on the study of characteristics of spectrum to achieve a stable and exactquantitative detection in nano-gold immunochro-matographic assay. The developednano-gold immunochromatographic quantitative assay provides to be a new and usefultool in clinical diagnosis.
The research works of the dissertation are summarized below:
(1) To design a nano-gold immunochromatographic quantitative assay withartificial intelligence through the studying of the principle of nano-goldimmunochromatographic detection and the spectrum signal. While analyzing differentfactors produced in quantitative detection, such as noises of biochemical reaction,optics and electricity, and establishing an idea mathematical expression of thespectrum. (2) To introduce an exchange of wavelet transformation、a model of fuzzycluster recognition and wavelet neural network into the quantitative detection innano-gold immunochromatographic assay. These works are mainly done byacquiring the characteristics of test strip edge, filtering noises, and fitting of curve,etc. Such treatments make it possible from studying to practical application innano-gold immunochromatographic quantitative assay using artificial intelligencesignal processing. The application of nano-gold immunochromatographicquantitative assay in the dissertation has developed for the application of artificialintelligence and signal processing in the field of biomedical science. (3) To transfer the signal of nano-gold immunochromatographic assay to thesignal of spectrum using photoelectric sensor, it which is based on theBeer-Lambert Law and the principle of light compensation. To use photoelectricdetection based on photo-fiber sensor and the design introduced a new artificialintelligence operator -Particle swarm optimization, a stable and exact detection isenhanced in this assay. (4) To study the new concept and idea of the nano-gold immunochromatographicquantitative assay of artificial intelligence, to complete the design of the quantitativedetector based on TMS320LF2407 DSP. The quantitative detector has been tested inbatches of clinical samples and is proven that the concept and idea of the nano-goldimmunochromatographic quantitative assay of artificial intelligence in the dissertationis correct and successful in application. The new concept and idea of artificial intelligence nano-goldimmunochromatographic assay are put forward for the first time in this dissertation.The designed system made it possible in stable and exact quantitative detection in
纳米金免疫层析试条具有检测效率高、方法简便、一步完成、无污染、试剂稳定、适用于单人份测定等特点,已受到临床检验界的极大关注,并发展成为临床检验的前沿领域。
但是,目前纳米金免疫层析试条主要用于定性或半定量的快速免疫检测方法中,使试条的临床应用范围受到了限制。因此,纳米金免疫层析试条定量测试的研究具有重要的理论意义与应用价值。
本文从理论上对纳米金免疫层析试条定量测试机理进行研究,以试条光谱峰特性曲线为研究重点,将纳米金免疫层析法与以光纤传感为核心的光电检测技术以及现代信息处理技术相结合,提出了纳米金免疫层析试条智能定量测试的新概念、新思路,从而实现了对纳米金免疫层析试条准确地定量测试,为临床免疫测定提供一种新的、有效的检测手段。本文主要进行以下研究工作:
(1) 探讨纳米金免疫层析试条定量测试机理和光谱峰信号的基本特点,深入分析对定量测试造成影响的各种干扰因素,如生化噪声、光噪声、电噪声等,建立理想光谱峰曲线的数学表达式,研究适合纳米金免疫层析试条智能定量测试的新机理。
(2) 将小波变换、模糊聚类识别和小波神经网络等技术引入纳米金免疫层析试条定量检测中,完成对试条边缘特征提取、噪声信号滤除和曲线拟合等,使现代信息处理技术对纳米金免疫层析试条信号的分析从理论研究走向实际应用。本文提出基于现代信息处理技术的纳米金免疫层析试条智能定量测试新方法,拓展了现代信息处理技术在生物医学领域的应用。
(3) 根据朗伯—比尔定律和互补光原理,利用光电检测系统将纳米金免
Immuno-assay is a sensitive detection technique in the field of clinical diagnostics,especially in medical studies and clinical detection. With the development ofimmuno-assay, traditional detection methods in clinical diagnostics have been replacedby many new techniques. One of such technique is the nano-gold immunochro-matographic assay.
Nano-gold immunochromatographic assays with uncontaminated, simple singlestep detection, stable reagent, and accelerated analyses have been gained greatattention in clinical diagnostics. Such assay has developed to step in the front of thefield in clinical diagnostics.
Currently nano-gold immunochromatographic assay is mainly applied inqualitative and semi-quantitative immuno-detection. Due to the lack of quantitativedetection, the nano-gold immunochromatographic assay is limited in widen applicationin clinical diagnostics. For such reason, it has more practical value to study anano-gold immunochromatographic quantitative assay.
The dissertation put forward a new concept and idea through further study ofdetection principle in nano-gold immunochromatographic assay. The concept and ideaare to combine a nano-gold immunochromatographic assay; a technique ofphoto-electric detection based on optic-fiber sensing, and signal processing, especiallyfocused on the study of characteristics of spectrum to achieve a stable and exactquantitative detection in nano-gold immunochro-matographic assay. The developednano-gold immunochromatographic quantitative assay provides to be a new and usefultool in clinical diagnosis.
The research works of the dissertation are summarized below:
(1) To design a nano-gold immunochromatographic quantitative assay withartificial intelligence through the studying of the principle of nano-goldimmunochromatographic detection and the spectrum signal. While analyzing differentfactors produced in quantitative detection, such as noises of biochemical reaction,optics and electricity, and establishing an idea mathematical expression of thespectrum. (2) To introduce an exchange of wavelet transformation、a model of fuzzycluster recognition and wavelet neural network into the quantitative detection innano-gold immunochromatographic assay. These works are mainly done byacquiring the characteristics of test strip edge, filtering noises, and fitting of curve,etc. Such treatments make it possible from studying to practical application innano-gold immunochromatographic quantitative assay using artificial intelligencesignal processing. The application of nano-gold immunochromatographicquantitative assay in the dissertation has developed for the application of artificialintelligence and signal processing in the field of biomedical science. (3) To transfer the signal of nano-gold immunochromatographic assay to thesignal of spectrum using photoelectric sensor, it which is based on theBeer-Lambert Law and the principle of light compensation. To use photoelectricdetection based on photo-fiber sensor and the design introduced a new artificialintelligence operator -Particle swarm optimization, a stable and exact detection isenhanced in this assay. (4) To study the new concept and idea of the nano-gold immunochromatographicquantitative assay of artificial intelligence, to complete the design of the quantitativedetector based on TMS320LF2407 DSP. The quantitative detector has been tested inbatches of clinical samples and is proven that the concept and idea of the nano-goldimmunochromatographic quantitative assay of artificial intelligence in the dissertationis correct and successful in application. The new concept and idea of artificial intelligence nano-goldimmunochromatographic assay are put forward for the first time in this dissertation.The designed system made it possible in stable and exact quantitative detection in
引文
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