亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

An automated and mobile magnetoresistive biosensor system for early hepatocellular carcinoma diagnosis

生物传感器 软件可移植性 肝细胞癌 材料科学 计算机科学 医学 纳米技术 癌症研究 程序设计语言
作者
Chengyang Yao,Enders K.W. Ng,Shan X. Wang
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:202: 113982-113982 被引量:14
标识
DOI:10.1016/j.bios.2022.113982
摘要

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide. Most patients, however, are not diagnosed until advanced stage because early HCC lesions generally cause no overt symptoms, and the presence of cirrhosis adds another layer of complexity. While early diagnosis enables more therapeutic options and greatly improves survival rates, it is difficult to achieve. In order to detect early stage HCC, high-risk patients need to frequently measure serum biomarkers such as alpha-fetoprotein (AFP), and gold standards for detection involve less accessible and costly tests. In this work, we present an automated and mobile magnetoresistive biosensor system that allows quick, easy, and accurate detection of a panel of HCC related biomarkers. We first discuss the underlying principles of the giant magnetoresistive (GMR) biosensor system and its unique advantages in early detection of HCC. We also describe the development of hardware, software, and the bioassay, and demonstrate that it can perform an automated assay in 28 min, providing both qualitative and quantitative results. The user only needs to manually add sample into a disposable cartridge and press a button on the smartphone app, without the need for direct interaction with reagent liquids, or lab skills such as pipetting. With its portability, high sensitivity, and ease-of-use, the presented biosensor system has the potential to empower both medical practitioners and patients to achieve early HCC diagnosis. Furthermore, the GMR biosensor platform can be adapted to detect other protein or DNA biomarkers beyond HCC, bringing the goals of accessible mobile health even closer to reality.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
许丹完成签到 ,获得积分10
刚刚
彩色莞完成签到 ,获得积分10
刚刚
尊敬的半梅完成签到 ,获得积分10
2秒前
12秒前
大模型应助medicmhc采纳,获得10
13秒前
酷波er应助有机分子笼采纳,获得10
13秒前
Mike001发布了新的文献求助10
17秒前
18秒前
20秒前
帅气的沧海完成签到 ,获得积分10
24秒前
medicmhc发布了新的文献求助10
26秒前
蒯言完成签到,获得积分10
31秒前
帆帆帆完成签到 ,获得积分10
33秒前
medicmhc完成签到,获得积分10
35秒前
39秒前
蒯言发布了新的文献求助10
43秒前
57秒前
图图完成签到,获得积分10
58秒前
图图发布了新的文献求助10
1分钟前
zzjjyy发布了新的文献求助10
1分钟前
zzjjyy完成签到,获得积分10
1分钟前
华仔应助科研通管家采纳,获得10
1分钟前
1分钟前
Rashalin完成签到,获得积分10
1分钟前
laika完成签到,获得积分10
1分钟前
CipherSage应助李博士采纳,获得10
1分钟前
jacob258完成签到 ,获得积分10
1分钟前
视野胤发布了新的文献求助10
1分钟前
laika发布了新的文献求助10
1分钟前
1234完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
gengqiao发布了新的文献求助30
1分钟前
gengqiao完成签到,获得积分20
2分钟前
天涯完成签到 ,获得积分10
2分钟前
2分钟前
紫金大萝卜应助左彦采纳,获得10
2分钟前
2分钟前
反杀闰土的猹完成签到 ,获得积分10
2分钟前
2分钟前
高分求助中
Teaching Social and Emotional Learning in Physical Education 900
Plesiosaur extinction cycles; events that mark the beginning, middle and end of the Cretaceous 800
Boris Pesce - Gli impiegati della Fiat dal 1955 al 1999 un percorso nella memoria 500
Chinese-English Translation Lexicon Version 3.0 500
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 460
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2395370
求助须知:如何正确求助?哪些是违规求助? 2098594
关于积分的说明 5288922
捐赠科研通 1825989
什么是DOI,文献DOI怎么找? 910393
版权声明 559972
科研通“疑难数据库(出版商)”最低求助积分说明 486564