Scholarlink

<p>A rapid and sensitive multiplex lateral flow immunoassay (LFIA) was developed using high-brightness latex microspheres (LMs), which can simultaneously detect paracetamol, phenacetin, antipyrine, and prednisone acetate in herbal tea within 10&#xa0;min. Under optimized experimental conditions, this LMs-LFIA can detect the four analytes at concentrations as low as 6.4 ng/mL, 0.38 ng/mL, 0.026 ng/mL, and 4.6 ng/mL, with low cut-off values (200 ng/mL, 200 ng/mL, 160 ng/mL, 160 ng/mL, respectively). Besides, this work demonstrated high specificity (no cross-interferences), good reproducibility (˂7.50%), acceptable stability (60 days) and high recoveries (90.2% − 118.1%) in spiked herbal samples. Importantly, in the blind sample analysis, of the developed LMs-LFIA showed good agreement with the validated LC-MS/MS method, suggesting high accuracy and practicability. This work provides a robust tool for highly efficient monitoring of common illegally added anti-inflammatory drugs in herbal teas.</p> Graphical abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Simultaneous on-site screening of four prohibited anti-inflammatory drugs in herbal tea by a multiplex lateral flow immunoassay

  • 期刊论文

  • 发表日期：

    2026年1月6日

查看全文
  • Jiajun Xu,
  • Maner Chen,
  • Hengye Zhang,
  • Kai Chen,
  • Chengsheng Hu,
  • Hui Liu,
  • Hongtao Lei,
  • Tian Guan

摘要

A rapid and sensitive multiplex lateral flow immunoassay (LFIA) was developed using high-brightness latex microspheres (LMs), which can simultaneously detect paracetamol, phenacetin, antipyrine, and prednisone acetate in herbal tea within 10 min. Under optimized experimental conditions, this LMs-LFIA can detect the four analytes at concentrations as low as 6.4 ng/mL, 0.38 ng/mL, 0.026 ng/mL, and 4.6 ng/mL, with low cut-off values (200 ng/mL, 200 ng/mL, 160 ng/mL, 160 ng/mL, respectively). Besides, this work demonstrated high specificity (no cross-interferences), good reproducibility (˂7.50%), acceptable stability (60 days) and high recoveries (90.2% − 118.1%) in spiked herbal samples. Importantly, in the blind sample analysis, of the developed LMs-LFIA showed good agreement with the validated LC-MS/MS method, suggesting high accuracy and practicability. This work provides a robust tool for highly efficient monitoring of common illegally added anti-inflammatory drugs in herbal teas.

Graphical abstract