Assembly-Induced Emission of Copper Nanoclusters: Revealing the Sensing Mechanism for Detection of Volatile Basic Nitrogen in Seafood Freshness On-Site Monitoring

纳米团簇 三甲胺 荧光 发光 材料科学 超分子化学 纳米技术 非共价相互作用 光化学 分子 化学 有机化学 氢键 冶金 物理 光电子学 量子力学
作者
Chenyue Zhou,Da‐Wen Sun,Ji Ma,Anjun Qin,Ben Zhong Tang,X. Lin,Shi‐Lin Cao
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
被引量:8
标识
DOI:10.1021/acsami.3c13321
摘要

Total volatile basic nitrogen (TVB-N) is a vital indicator for assessing seafood freshness and edibility. Rapid on-site detection of volatile basic nitrogen (VBN) is of significant importance for food safety monitoring. In this study, highly luminescent self-assembled copper nanoclusters (Cu NCs@p-MBA), synthesized using p-mercaptobenzoic acid (p-MBA) as the ligand, were utilized for the sensitive detection of VBNs. Under acidic conditions, Cu NCs@p-MBA formed compact and well-organized nanosheets through noncovalent interactions, accompanied by intense orange fluorescence emission (651 nm). The benzene carboxylic acid part of Cu NCs@p-MBA provided the driving force for supramolecular assembly and exhibited a strong affinity for amines, particularly low-molecular-weight amines such as ammonia (NH3) and trimethylamine (TMA). The quantitative determination of NH3 and TMA showed the detection limits as low as 0.33 and 0.81 ppm, respectively. Cu NCs@p-MBA also demonstrated good responsiveness to putrescine and histamine. Through density functional theory (DFT) calculations and molecular dynamics (MD) simulations, the precise atomic structure, assembly structure, luminescent properties, and reaction processes of Cu NCs@p-MBA were studied, revealing the sensing mechanism of Cu NCs@p-MBA for highly sensitive detection of VBNs. Based on the self-assembled Cu NCs@p-MBA nanosheets, portable fluorescent labels were developed for semiquantitative, visual, and real-time monitoring of seafood freshness. Therefore, this study exemplified the high sensitivity of self-assembly induced emission (SAIE)-type Cu NCs@p-MBA for VBNs sensing, offering an efficient solution for on-site monitoring of seafood freshness.
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
完美世界应助皮崇知采纳,获得10
刚刚
刚刚
心灵美凝蝶关注了科研通微信公众号
刚刚
刚刚
1秒前
1秒前
平常芷波发布了新的文献求助10
2秒前
情怀应助牧友桃采纳,获得10
2秒前
江柯发布了新的文献求助10
2秒前
3秒前
领导范儿应助伊酒采纳,获得10
3秒前
好想被风刮走完成签到,获得积分10
4秒前
狂野东蒽完成签到,获得积分10
4秒前
5秒前
111完成签到,获得积分10
5秒前
5秒前
如意元霜发布了新的文献求助10
5秒前
6秒前
Sally完成签到,获得积分10
6秒前
6秒前
微微发布了新的文献求助10
6秒前
zhangshenlan完成签到,获得积分10
6秒前
张澳完成签到 ,获得积分10
6秒前
畅快的刚发布了新的文献求助10
7秒前
pp完成签到,获得积分10
7秒前
ZSQ完成签到,获得积分10
7秒前
小米完成签到,获得积分10
8秒前
xwm发布了新的文献求助10
8秒前
小席发布了新的文献求助10
8秒前
9秒前
zz完成签到,获得积分10
9秒前
平常芷波完成签到 ,获得积分10
10秒前
伏城完成签到 ,获得积分10
11秒前
科研通AI5应助buran采纳,获得10
11秒前
典雅碧空发布了新的文献求助10
11秒前
12秒前
Yu发布了新的文献求助10
12秒前
午午午午完成签到 ,获得积分10
12秒前
13秒前
鱼鳞飞飞完成签到,获得积分10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
Virulence Mechanisms of Plant-Pathogenic Bacteria 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3554712
求助须知:如何正确求助?哪些是违规求助? 3130546
关于积分的说明 9387446
捐赠科研通 2829867
什么是DOI,文献DOI怎么找? 1555725
邀请新用户注册赠送积分活动 726278
科研通“疑难数据库(出版商)”最低求助积分说明 715542