Sentinel lymph node identification using NIR-II ultrabright Raman nanotags on preclinical models

前哨淋巴结 纳米技术 材料科学 生物医学工程 医学 乳腺癌 癌症 内科学
作者
Binge Deng,Yan Wang,Xiangdong Bu,Jin Li,Jingsong Lu,Li Lin,Yaohui Wang,Yao Chen,Jian Ye
出处
期刊:Biomaterials [Elsevier BV]
卷期号:308: 122538-122538 被引量:16
标识
DOI:10.1016/j.biomaterials.2024.122538
摘要

Surface-enhanced Raman spectroscopy (SERS) nanotags have garnered much attention as promising bioimaging contrast agent with ultrahigh sensitivity, but their clinical translation faces challenges including biological and laser safety. As breast sentinel lymph node (SLN) imaging agents, SERS nanotags used by local injection and only accumulation in SLNs, which were removed during surgery, greatly reduce biological safety concerns. But their clinical translation lacks pilot demonstration on large animals close to humans. The laser safety requires irradiance below the maximum permissible exposure threshold, which is currently not achievable in most SERS applications. Here we report the invention of the core-shell SERS nanotags with ultrahigh brightness (1 pM limit of detection) at the second near-infrared (NIR-II) window for SLN identification on pre-clinical animal models including rabbits and non-human primate. We for the first time realize the intraoperative SERS-guided SLN navigation under a clinically safe laser (1.73 J/cm2) and identify multiple axillary SLNs on a non-human primate. No evidence of biosafety issues was observed in systematic examinations of these nanotags. Our study unveils the potential of NIR-II SERS nanotags as appropriate SLN tracers, making significant advances toward the accurate positioning of lesions using the SERS-based tracer technique.
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
ooo给ooo的求助进行了留言
刚刚
刚刚
独特的秋发布了新的文献求助10
1秒前
1秒前
2秒前
CodeCraft应助刘小六六六采纳,获得10
3秒前
大胆隶完成签到 ,获得积分10
3秒前
小金刀完成签到,获得积分10
3秒前
hejingruuu完成签到,获得积分10
4秒前
小童老婆完成签到,获得积分10
4秒前
4秒前
么么么完成签到 ,获得积分10
5秒前
5秒前
duanerss发布了新的文献求助10
6秒前
醋溜爆肚儿完成签到,获得积分10
7秒前
Ray完成签到,获得积分10
7秒前
Richard发布了新的文献求助10
8秒前
英姑应助超声类固醇采纳,获得10
8秒前
cdercder应助夏天采纳,获得30
9秒前
水寒风似刀应助飞起来了采纳,获得40
9秒前
10秒前
11秒前
诚心的以寒完成签到,获得积分10
11秒前
务实的访卉完成签到 ,获得积分10
12秒前
felix发布了新的文献求助10
13秒前
xiaobo完成签到,获得积分10
13秒前
14秒前
薛定谔的sheep完成签到,获得积分10
14秒前
15发布了新的文献求助10
16秒前
16秒前
852应助starROme采纳,获得10
16秒前
16秒前
17秒前
18秒前
科目三应助小木子采纳,获得10
18秒前
CipherSage应助Richard采纳,获得10
18秒前
传奇3应助科研小霖采纳,获得10
19秒前
19秒前
ljs完成签到,获得积分10
20秒前
闪闪婴发布了新的文献求助10
20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
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Perfectionism in School 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7727882
求助须知:如何正确求助?哪些是违规求助? 9280409
关于积分的说明 20136826
捐赠科研通 7305488
什么是DOI,文献DOI怎么找? 3302646
关于科研通互助平台的介绍 2455811
邀请新用户注册赠送积分活动 2310745