In:
Lab on a Chip, Royal Society of Chemistry (RSC), Vol. 23, No. 14 ( 2023), p. 3207-3216
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.
Type of Medium:
Online Resource
ISSN:
1473-0197
,
1473-0189
Language:
English
Publisher:
Royal Society of Chemistry (RSC)
Publication Date:
2023
detail.hit.zdb_id:
2056646-3
SSG:
12