克伦特罗
尿
拉曼散射
指纹(计算)
干扰(通信)
色谱法
拉曼光谱
材料科学
化学
分析化学(期刊)
计算机科学
光学
人工智能
电信
物理
频道(广播)
生物化学
作者
Jinru Xiao,Jiacheng Ding,Chenyang Sun,Dingbin Liu,Hongmei Gao,Yaqing Liu,Yang Lü,Xia Gao
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2024-10-09
卷期号:9 (10): 5394-5404
被引量:11
标识
DOI:10.1021/acssensors.4c01623
摘要
Sports doping remains a significant challenge in competitive sports. Given that urine analysis is the standard for detecting doping, developing rapid, sensitive, accurate, and high-throughput methods for stimulant detection in urine is crucial. Surface-enhanced Raman scattering (SERS) tag-based immunoassays have emerged as powerful analytical tools known for their high sensitivity and specificity, holding particular promise for stimulant detection in urine samples. However, both the Raman signals of typical SERS tags and sample matrices are within the Raman fingerprint region (<1800 cm–1), which could lead to spectrum overlap, potentially reducing detection accuracy and sensitivity. By recognizing this, we designed a competitive immunoassay that integrates two types of zero-background SERS tags and magnetic separation. These innovative SERS tags exhibit distinctive Raman peaks within the Raman-silent region (1800–2800 cm–1), effectively mitigating potential spectrum overlap with background sample signals. Moreover, magnetic separation not only enhances operational simplicity but also improves the system’s anti-interference capability. Using clenbuterol (CL) and higenamine (HM) as model targets, the SERS-based competitive immunoassay demonstrated sensitive detection of individual CL or HM standards, with limits of detection (LODs) of 0.87 and 0.71 pg/mL, respectively. In multiplex mode, CL and HM can be simultaneously detected with LODs of 1.0 and 0.81 pg/mL, respectively. Furthermore, the recovery rates in urine samples ranged from 83 to 116% (relative standard deviation, RSD ≤ 6.4%) for CL and from 82 to 103% (RSD ≤ 5.1%) for HM, further confirming the reliability of the SERS-based immunoassay for practical applications.
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