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Foodborne Pathogen Screening Using Magneto-fluorescent Nanosensor: Rapid Detection of E. Coli O157:H7
Published on: September 17, 2017
Dual-functional Cu2-xSe nanoparticles enabled photothermal SDA-LFA for sensitive miRNA-146a on-site detection in
Liu-Feng Yu1, Jie Zhou2, Jing Cao3
1State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; Food Safety Detection Key Laboratory of Sichuan Province, Chengdu, 610000, China; Key Laboratory of Food Contact Materials Safety, State Administration for Market Regulation, Jiangsu Product Quality Testing & Inspection Institute, Nanjing, 210007, China.
Abstract:
Bovine Mastitis (BM) adversely impacts the health of dairy cows and the quality of milk. Rapid and precise detection to miRNA-146a, a biomarker of BM for early diagnosis, is therefore crucial for the safety of dairy products. Herein, a high-efficiency method for the detection of miRNA-146a was developed, integrating photothermal Cu2-xSe nanoparticles (CS NPs), strand displacement amplification (SDA) and lateral flow assay (LFA). The core innovation utilizes photothermal materials for dual functionality: (1) CS NPs as a photothermal nanomaterial enables rapid photocontrolled SDA (pSDA) under 808 nm laser irradiation, achieving target amplification within 20 min-2.3 times faster than conventional water-bathed SDA; and (2) Au coated Cu2-xSe nanoparticles (CSA NPs) facilitates quantitative detection within a specifically designed photothermal LFA (pLFA). This pLFA measures temperature changes (ΔT) in the test zone via infrared thermal imaging to quantify the single-labeled amplicons. The integrated pSDA-pLFA method achieves an excellent balance of speed and sensitivity, featuring a detection limit of 28.6 fM and a wide linear range of 1.0 × 102 fM to 1.0 × 108 fM (R2 = 0.9907). Validation using spiked milk samples demonstrated strong consistency with quantitative PCR (qPCR) results, confirming the establishment of a novel, rapid, and quantitative pSDA-pLFA platform for miR-146a detection. This approach holds significant promise for enhancing dairy industry bio-surveillance and ensuring food safety.

