Suppr超能文献

电化学传感器用于检测肿瘤细胞标志物。

Electrochemical Sensors for Detection of Markers on Tumor Cells.

机构信息

Shandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan 250014, China.

Key Laboratory of Food Nutrition and Safety, College of Life Sciences, Shandong Normal University, Jinan 250014, China.

出版信息

Int J Mol Sci. 2021 Jul 30;22(15):8184. doi: 10.3390/ijms22158184.

Abstract

In recent years, the increasing incidence and mortality of cancer have inspired the development of accurate and rapid early diagnosis methods in order to successfully cure cancer; however, conventional methods used for detecting tumor cells, including histopathological and immunological methods, often involve complex operation processes, high analytical costs, and high false positive rates, in addition to requiring experienced personnel. With the rapid emergence of sensing techniques, electrochemical cytosensors have attracted wide attention in the field of tumor cell detection because of their advantages, such as their high sensitivity, simple equipment, and low cost. These cytosensors are not only able to differentiate tumor cells from normal cells, but can also allow targeted protein detection of tumor cells. In this review, the research achievements of various electrochemical cytosensors for tumor cell detection reported in the past five years are reviewed, including the structures, detection ranges, and detection limits of the cytosensors. Certain trends and prospects related to the electrochemical cytosensors are also discussed.

摘要

近年来,癌症的发病率和死亡率不断上升,这促使人们开发出准确、快速的早期诊断方法,以成功治愈癌症;然而,传统的用于检测肿瘤细胞的方法,包括组织病理学和免疫学方法,通常涉及复杂的操作过程、高分析成本和高假阳性率,此外还需要经验丰富的人员。随着传感技术的迅速发展,电化学细胞传感器在肿瘤细胞检测领域引起了广泛关注,因为它们具有灵敏度高、设备简单、成本低等优点。这些细胞传感器不仅能够区分肿瘤细胞和正常细胞,还能够对肿瘤细胞进行靶向蛋白检测。本综述回顾了过去五年中报道的用于肿瘤细胞检测的各种电化学细胞传感器的研究成果,包括细胞传感器的结构、检测范围和检测限。还讨论了与电化学细胞传感器相关的某些趋势和前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be9f/8348351/158346c790b1/ijms-22-08184-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验