Advanced sample preparation techniques for rapid surface-enhanced Raman spectroscopy analysis of complex samples

样品制备 化学 复矩阵 样品(材料) 表面增强拉曼光谱 分析物 拉曼光谱 基质(化学分析) 纳米技术 瓶颈 分析化学(期刊) 工艺工程 色谱法 拉曼散射 计算机科学 材料科学 嵌入式系统 工程类 物理 光学
作者
Huasheng Lai,Zhongning Yu,Gongke Li,Zhuomin Zhang
出处
期刊:Journal of Chromatography A [Elsevier]
卷期号:1675: 463181-463181 被引量:17
标识
DOI:10.1016/j.chroma.2022.463181
摘要

Surface-enhanced Raman spectroscopy (SERS) is a powerful and promising analytical technique for fast, non-destructive, and sensitive analysis of trace analytes. However, the serious matrix interference effect of complex sample is a bottleneck that limited rapid SERS analysis. Therefore, it is essential to introduce proper sample preparation techniques to address the limitation for advancing SERS analysis. With adaptable sample preparation techniques, target substances could be separated and purified from complex matrices, matrix interference effect could be eliminated/reduced, and finally pure SERS spectra could be obtained. However, the process of traditional sample preparation usually requires the tedious and time-consuming operation, large solvent consumption, high labor intensity, as well as low efficiency. Given that SERS is an ultrafast analytical technique, there is a great desire to develop advanced/modern sample preparation techniques for fast and efficient analysis of complex samples. To attract much attention and raise research enthusiasm on the beginning, recent development on advanced sample preparation techniques for rapid SERS analysis of complex sample was reviewed. (1) 'All-in-one' strategy for simultaneous separation, enrichment, and in-situ SERS detection. (2) Integrated strategy for high-speed pretreatment and high throughput analysis. (3) Derivatization strategy switches on the SERS activity of molecules with weak responses. (4) Field-assisted strategy for preconcentration acceleration. (5) Instrument combination strategy for online processing and real-time SERS analysis. Finally, conclusions and perspectives on future development were briefly discussed.
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
爆米花应助yun采纳,获得10
1秒前
mmmmmeducn完成签到,获得积分10
1秒前
2秒前
3秒前
烟花应助认真依琴采纳,获得10
4秒前
4秒前
星辰大海应助魏见采纳,获得10
4秒前
4秒前
han发布了新的文献求助10
4秒前
LU发布了新的文献求助30
5秒前
甜美的钻石完成签到,获得积分10
8秒前
生动的鹰发布了新的文献求助10
8秒前
10秒前
流水无情发布了新的文献求助10
10秒前
10秒前
科研通AI2S应助xuexuexinxin采纳,获得10
10秒前
华仔应助WL采纳,获得10
11秒前
益达男友完成签到,获得积分20
11秒前
ranan完成签到,获得积分10
12秒前
14秒前
花痴的手套完成签到 ,获得积分10
15秒前
哈哈酱lj完成签到,获得积分10
16秒前
17秒前
lanliz完成签到,获得积分10
19秒前
20秒前
20秒前
簡簡單單发布了新的文献求助10
20秒前
bbj完成签到,获得积分10
22秒前
浅韵低吟发布了新的文献求助10
23秒前
23秒前
LL发布了新的文献求助10
24秒前
24秒前
佳佳发布了新的文献求助10
24秒前
sun发布了新的文献求助10
25秒前
27秒前
27秒前
单薄冬天发布了新的文献求助10
28秒前
he发布了新的文献求助10
28秒前
奶油橘子发布了新的文献求助10
28秒前
无水乙醚完成签到,获得积分10
29秒前
高分求助中
Exploring Mitochondrial Autophagy Dysregulation in Osteosarcoma: Its Implications for Prognosis and Targeted Therapy 2000
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
QMS18Ed2 | process management. 2nd ed 600
LNG as a marine fuel—Safety and Operational Guidelines - Bunkering 560
Fatigue, environmental factors, and new materials : presented at the 1998 ASME/JSME Joint Pressure Vessels and Piping Conference : San Diego, California, July 26-30, 1998 500
Clinical Interviewing, 7th ed 400
Functional Syntax Handbook: Analyzing English at the Level of Form 400
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2944424
求助须知:如何正确求助?哪些是违规求助? 2603876
关于积分的说明 7012033
捐赠科研通 2245065
什么是DOI,文献DOI怎么找? 1191146
版权声明 590367
科研通“疑难数据库(出版商)”最低求助积分说明 583159