JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

生物标志物检测方法的研究进展

武丰龙 崔艳英 张志锋 王丹丹

武丰龙, 崔艳英, 张志锋, 等. 生物标志物检测方法的研究进展[J]. 轻工学报, 2022, 37(5): 50-60. doi: 10.12187/2022.05.006
引用本文: 武丰龙, 崔艳英, 张志锋, 等. 生物标志物检测方法的研究进展[J]. 轻工学报, 2022, 37(5): 50-60. doi: 10.12187/2022.05.006
WU Fenglong, CUI Yanying, ZHANG Zhifeng and et al. Research progress of methods for biomarker detection[J]. Journal of Light Industry, 2022, 37(5): 50-60. doi: 10.12187/2022.05.006
Citation: WU Fenglong, CUI Yanying, ZHANG Zhifeng and et al. Research progress of methods for biomarker detection[J]. Journal of Light Industry, 2022, 37(5): 50-60. doi: 10.12187/2022.05.006

生物标志物检测方法的研究进展

    作者简介: 武丰龙(1976-),男,河南省南阳市人,郑州轻工业大学讲师,主要研究方向为智能信息检测与信息计算。E-mail:wufenglong1112@163.com;
  • 基金项目: 国家自然科学基金面上基金项目(61975187)

  • 中图分类号: TS207.4;R318

Research progress of methods for biomarker detection

  • Received Date: 2021-06-11
    Accepted Date: 2022-01-20

    CLC number: TS207.4;R318

  • 摘要: 综述了基于遗传物质(RNA和DNA)、免疫学(抗原/抗体)及结合微芯片技术的生物标志物检测方法的应用研究进展,指出:基于遗传物质的检测方法直接作用于靶标物质,准确性和灵敏度高,但其检测步骤繁多,对检测环境要求高;基于免疫学的检测方法操作简单、便携性高、能实现即时检测但准确性稍低,适用于快速、大规模的病毒筛查;结合微芯片技术的检测方法更加多元化,并能在短时间内实现靶标物质的检测,精确性、自动化程度得到提高,在病毒筛查、疾病诊断等方面表现出巨大的发展潜力。未来生物标志物检测技术可就优化免疫催化反应物、加大核酸提取物纯化程度、提高检测设备自动化程度、构建多重检测系统、实现检测设备微型化及检测信息可视化等方面开展进一步研究,以提高检测准确性、设备便携性,从而实现该技术的持续发展。
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武丰龙, 崔艳英, 张志锋, 等. 生物标志物检测方法的研究进展[J]. 轻工学报, 2022, 37(5): 50-60. doi: 10.12187/2022.05.006
引用本文: 武丰龙, 崔艳英, 张志锋, 等. 生物标志物检测方法的研究进展[J]. 轻工学报, 2022, 37(5): 50-60. doi: 10.12187/2022.05.006
WU Fenglong, CUI Yanying, ZHANG Zhifeng and et al. Research progress of methods for biomarker detection[J]. Journal of Light Industry, 2022, 37(5): 50-60. doi: 10.12187/2022.05.006
Citation: WU Fenglong, CUI Yanying, ZHANG Zhifeng and et al. Research progress of methods for biomarker detection[J]. Journal of Light Industry, 2022, 37(5): 50-60. doi: 10.12187/2022.05.006

生物标志物检测方法的研究进展

    作者简介:武丰龙(1976-),男,河南省南阳市人,郑州轻工业大学讲师,主要研究方向为智能信息检测与信息计算。E-mail:wufenglong1112@163.com
  • 1. 郑州轻工业大学 软件学院, 河南 郑州 450001;
  • 2. 郑州轻工业大学 计算机与通信工程学院, 河南 郑州 450001
基金项目:  国家自然科学基金面上基金项目(61975187)

摘要: 综述了基于遗传物质(RNA和DNA)、免疫学(抗原/抗体)及结合微芯片技术的生物标志物检测方法的应用研究进展,指出:基于遗传物质的检测方法直接作用于靶标物质,准确性和灵敏度高,但其检测步骤繁多,对检测环境要求高;基于免疫学的检测方法操作简单、便携性高、能实现即时检测但准确性稍低,适用于快速、大规模的病毒筛查;结合微芯片技术的检测方法更加多元化,并能在短时间内实现靶标物质的检测,精确性、自动化程度得到提高,在病毒筛查、疾病诊断等方面表现出巨大的发展潜力。未来生物标志物检测技术可就优化免疫催化反应物、加大核酸提取物纯化程度、提高检测设备自动化程度、构建多重检测系统、实现检测设备微型化及检测信息可视化等方面开展进一步研究,以提高检测准确性、设备便携性,从而实现该技术的持续发展。

English Abstract

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