Nanopore Identification of L‐, D‐Lactic Acids, D‐Glucose and Gluconic Acid in the Serum of Human and Animals

葡萄糖酸 乳酸 纳米孔 鉴定(生物学) 生物化学 化学 生物 细菌 材料科学 纳米技术 植物 遗传学
作者
Wendong Jia,Yusheng Ouyang,Shanyu Zhang,Panke Zhang,Shuo Huang
出处
期刊:Small methods [Wiley]
卷期号:9 (1): e2400664-e2400664 被引量:8
标识
DOI:10.1002/smtd.202400664
摘要

DL-Lactic acid and D-glucose are important human health indicators. Their aberrant levels in body fluids may indicate a variety of human pathological conditions, suggesting an urgent need of daily monitoring. However, simultaneous and rapid analysis of DL-lactic acid and D-glucose using a sole but simple sensing system has never been reported. Here, an engineered Mycobacterium smegmatis porin A (MspA) nanopore is used to simultaneously identify DL-lactic acid and D-glucose. Highly distinguishable nanopore event features are reported. Assisted with a custom machine learning algorithm, direct identification of DL-lactic acid and D-glucose is performed with human serum, demonstrating its sensing reliability against complex and heterogeneous samples. This sensing strategy is further applied in the analysis of different animal serum samples, according to which gluconic acid is further identified. The serum samples from different animals report distinguishable levels of DL-lactic acid, D-glucose and gluconic acid, suggesting its potential applications in agricultural science and breeding industry. This sensing strategy is generally direct, rapid, economic and requires only ≈µL of input serum, suitable for point of care testing (POCT) applications.
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
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
刚刚
刚刚
1秒前
搜集达人应助机灵问兰采纳,获得10
1秒前
滚滚完成签到,获得积分10
2秒前
2秒前
2秒前
Who1990发布了新的文献求助10
2秒前
3秒前
bubu发布了新的文献求助20
4秒前
DW应助haha采纳,获得10
4秒前
4秒前
冷静的台灯完成签到,获得积分10
5秒前
5秒前
小满发布了新的文献求助10
5秒前
5秒前
LynShen发布了新的文献求助10
6秒前
科研通AI6.4应助tt采纳,获得10
6秒前
爆米花应助123456采纳,获得10
6秒前
烟花应助ccc采纳,获得10
7秒前
7秒前
牧青发布了新的文献求助10
7秒前
7秒前
在水一方应助11采纳,获得10
8秒前
jin应助初景采纳,获得10
8秒前
高云婷完成签到 ,获得积分10
8秒前
动听从寒发布了新的文献求助10
8秒前
8秒前
宋思博发布了新的文献求助10
8秒前
不飾应助虚幻凡柔采纳,获得10
9秒前
深情安青应助虚幻凡柔采纳,获得10
9秒前
orixero应助karry采纳,获得10
9秒前
Soleil发布了新的文献求助100
9秒前
nininidoc发布了新的文献求助10
9秒前
啊啊啊啊啊完成签到 ,获得积分10
9秒前
10秒前
Criminology34举报QinXuehua求助涉嫌违规
12秒前
12秒前
shout发布了新的文献求助10
12秒前
斯文败类应助nini采纳,获得20
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7758594
求助须知:如何正确求助?哪些是违规求助? 9304563
关于积分的说明 20281378
捐赠科研通 7342337
什么是DOI,文献DOI怎么找? 3312241
关于科研通互助平台的介绍 2462812
邀请新用户注册赠送积分活动 2326142