4.8 Article

A smartphone-integrated optosensing platform based on red-emission carbon dots for real-time detection of pyrethroids

Journal

BIOSENSORS & BIOELECTRONICS
Volume 191, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2021.113460

Keywords

Smartphone-based detection; Optosensing; Red-emission carbon dot; Real-time; Pyrethroid

Funding

  1. National Natural Science Foundation of China [31822040]
  2. National Key R&D Program of China [2018YFC1602300]
  3. Young Top-Notch Talent of High-Level Innovation and Entrepreneurs Support Program [2017000026833ZK28]
  4. Research Foundation for Youth Scholars of Beijing Technology and Business University [QNJJ2021-11]

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The study developed an optosensing platform based on carbon dots that can detect pyrethroids in real time, with advantages of low cost, simple operation, high sensitivity, on-site visualization, and rapid detection.
This report described the development of an optosensing platform based on red-emission carbon dots (RCDs) integrated with a smartphone application that, together, can detect pyrethroids in real time. Based on the high stability and selectivity of molecular imprinting technology, RCDs-based optosensing imprinted polymers was obtained by using a one-pot inverse microemulsion surface imprinting method. Lambda-cyhalothrin (LC), which is a pyrethroid pesticide, can interact with the widely distributed -NH2 groups on the surface of the RCD-based optosensing nanomaterials to achieve fixed-point adsorption. The quantitative detection of pyrethroids in a wide concentration range (1-120 mu g/L) could be achieved, and the limit of detection (LOD) was 0.89 mu g/L. Furthermore, a portable UV light box combined with a smartphone was used to convert the change in fluorescence of the RCDs-based optosensing nanomaterials into specific values upon adding pyrethroids, and the LOD by using smartphone was 6.66 mu g/L. The developed platform has numerous advantages, including low cost, simple operation, high sensitivity, and good specificity, among others, and it achieves on-site visualization and rapid detection.

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