Abstract
Lateral flow assays (LFAs) are widely used in screening analysis. However, the detection flux and sensitivity of LFAs are unsatisfactory because of the 'one-to-one' read mode and the ordinary performance conventional probe. In this work, a high-flux smartphone-integrated LFA (sLFA) based on chrysanthemum-like Au@polydopamine (AuNC@PDA) for the detection of enrofloxacin (ENR) in milk was established. The smartphone-integrated device was developed and applied in the LFA, giving rise to a reading maximum of 64 samples with only two photos in less than 2 min compared to a 'one-to-one' read mode of a conventional LFA in more than 14 min with a 36.4% deviation. For ENR detection, the limits of detection of sLFA based on AuNC@PDA (33.78 pg mL-1) had 5.0-fold and 6.4-fold reduction compared with those based on AuNP (169.99 pg mL-1, conventional probe) and vvAuNP (216.47 pg mL-1, commercial probe), respectively. This study provides an effective technical means for screening ENR in large quantities of milk samples.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
