Phosphorylation of Oligopeptides: Design of Ultra-Hydrophilic Zwitterionic Peptides for Anti-Fouling Detection of Nucleic Acids in Saliva

化学 核酸 生物传感器 生物分子 生物污染 结垢 检出限 寡肽 组合化学 色谱法 生物化学
作者
Xiujuan Qiao,Zeng-Hui Qian,Wenpeng Sun,Chuan-Yong Zhu,Yanxin Li,Xiliang Luo
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (29): 11091-11098 被引量:11
标识
DOI:10.1021/acs.analchem.3c01843
摘要

The construction of low-fouling biosensors for assaying biomarkers in complex biological samples remains a challenge, and the key limitation is the lack of effective anti-fouling materials. Inspired by the biomimetic process of protein phosphorylation, we herein designed a new phosphorylated peptide modified with the dihydrogen phosphate (−PO4H2) group, which significantly increased the hydrophilicity and anti-fouling capability of the peptide when compared with natural and normal peptides. Molecular simulation (MS) illustrated that, compared with the −COOH and −NH2 groups, the −PO4H2 group formed the most numbers of hydrogen bonds and stronger hydrogen bonds with water molecules. As a result, the PO4H2-oligopeptide was proved by MS to be able to attract the greatest number of water molecules, so as to form a compact layer of H2O to resist further adsorption of nonspecific biomolecules. The modification of electrodes with the designed PO4H2-oligopeptides, in addition to the adoption of neutral peptide nucleic acids (PNAs) as the sensing probes, ensured the fabrication of anti-fouling electrochemical biosensors capable of detecting nucleic acids in complex saliva. The constructed anti-fouling biosensor was able to detect the nucleic acid of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in undiluted saliva, with a wide linear response range (0.01 pM–0.01 μM) and a low limit of detection (LOD) of 3.4 fM (S/N = 3). The phosphorylation of oligopeptides offers an effective strategy to designing ultra-hydrophilic peptides suitable for the construction of promising anti-biofouling biosensors and bioelectronics.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
T拐拐发布了新的文献求助10
1秒前
Nilstal完成签到,获得积分10
1秒前
1秒前
幽默的棒球完成签到,获得积分10
1秒前
高熵君完成签到,获得积分10
1秒前
落忆完成签到 ,获得积分0
1秒前
研友_MLJldZ发布了新的文献求助10
2秒前
开心半山发布了新的文献求助10
2秒前
free1zhang完成签到,获得积分10
3秒前
科研通AI2S应助111采纳,获得10
3秒前
3秒前
西海小甜豆完成签到,获得积分10
3秒前
机智的思山完成签到,获得积分10
3秒前
星空点点完成签到 ,获得积分10
3秒前
哆啦A梦发布了新的文献求助10
4秒前
科目三应助wsysweet采纳,获得10
4秒前
4秒前
浮华完成签到,获得积分10
5秒前
Lesley完成签到 ,获得积分10
5秒前
高高水发布了新的文献求助10
5秒前
邓晓霞完成签到,获得积分10
5秒前
5秒前
zss完成签到,获得积分10
5秒前
LA排骨完成签到,获得积分10
6秒前
yjq完成签到,获得积分10
6秒前
WiWi发布了新的文献求助30
6秒前
量子星尘发布了新的文献求助10
6秒前
Wang完成签到,获得积分10
9秒前
9秒前
小葵发布了新的文献求助10
9秒前
Misty完成签到,获得积分10
10秒前
无花果应助研友_MLJldZ采纳,获得10
10秒前
桐桐应助guigui采纳,获得10
10秒前
可爱的函函应助Sichen孟采纳,获得10
11秒前
11秒前
科研通AI6应助王曼曼采纳,获得30
12秒前
倪好发布了新的文献求助10
12秒前
13秒前
reading gene完成签到,获得积分10
14秒前
14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
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
The Complete Pro-Guide to the All-New Affinity Studio: The A-to-Z Master Manual: Master Vector, Pixel, & Layout Design: Advanced Techniques for Photo, Designer, and Publisher in the Unified Suite 1000
按地区划分的1,091个公共养老金档案列表 801
The International Law of the Sea (fourth edition) 800
Machine Learning for Polymer Informatics 500
A Guide to Genetic Counseling, 3rd Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5409878
求助须知:如何正确求助?哪些是违规求助? 4527416
关于积分的说明 14110521
捐赠科研通 4441833
什么是DOI,文献DOI怎么找? 2437651
邀请新用户注册赠送积分活动 1429598
关于科研通互助平台的介绍 1407728