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Highly Sensitive Fluorescence Methods for the Determination of Alfuzosin, Doxazosin, Terazosin and Prazosin in Pharmaceutical Formulations, Plasma and Urine

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Abstract

In this work, an aptasensor-based resonance light-scattering (RLS) method was developed for the sensitive and selective detection of acetamiprid. The ABA (acetamiprid binding aptamer)-stabilized gold nanoparticles (ABA-AuNPs) were used as a probe. Highly specific single-strand DNA (ssDNA, i.e, aptamers) that bind to acetamiprid with high affinity were employed to discriminate other pesticides, such as edifenphos, kanamycin, metribuzin et. al. The sensing approach is based on a specific interaction between acetamiprid and ABA. Aggregation of AuNPs was specifically induced by the desorption of the ABA from the surface of AuNPs, which caused the RLS signal intensity to be enhanced at 700 nm. The alteration of AuNPs’ aggregation has been successfully optimized by controlling several conditions. Under the optimal conditions, the RLS intensity changes (I/I0) of AuNPs were linearly correlated with the acetamiprid concentration in the range of 0–100 nM. The detection limit is 1.2 nM (3σ). This method had also been used for acetamiprid detection in lake water samples.

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Acknowledgments

This work is supported by the NSFC (No. 21305032), China Postdoctoral Science Foundation (No. 2014M551522), Jiangsu Planned Projects for Postdoctoral Research Funds (1402073B), Research Foundation of Jiangsu University (No. 13JDG069).

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Authors and Affiliations

  1. School of Chemistry and Material Science, Shanxi Normal University, Shanxi Linfen, 041004, P. R. China

    Xiaozhen Guo, Hao Wu, Shiwen Guo, Yating Shi, Juanli Du, Panpan Zhu & Liming Du

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  1. Xiaozhen Guo
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  2. Hao Wu
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  3. Shiwen Guo
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  4. Yating Shi
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  5. Juanli Du
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  6. Panpan Zhu
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  7. Liming Du
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Correspondence to Hao Wu or Liming Du.

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Guo, X., Wu, H., Guo, S. et al. Highly Sensitive Fluorescence Methods for the Determination of Alfuzosin, Doxazosin, Terazosin and Prazosin in Pharmaceutical Formulations, Plasma and Urine. ANAL. SCI. 32, 763–768 (2016). https://doi.org/10.2116/analsci.32.763

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  • DOI: https://doi.org/10.2116/analsci.32.763

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