| Title : Upconversion-based hydrogel kit with Python-assisted analysis platform for sample-to-result detection of organophosphorus pesticide - Kong_2024_J.Colloid.Interface.Sci_670_626 |
| Author(s) : Kong M , Lu Y , Ma Y , Zhao X , Wu J , Lu G , Yan X , Liu X |
| Ref : J Colloid Interface Sci , 670 :626 , 2024 |
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Abstract :
On-site quantitative analysis of pesticide residues is crucial for monitoring environmental quality and ensuring food safety. Herein, we have developed a reliable hydrogel portable kit using NaYbF(4)@NaYF(4): Yb, Tm upconversion nanoparticles (UCNPs) combined with MnO(2) nanoflakes. This portable kit is integrated with a smartphone reader and Python-assisted analysis platform to enable sample-to-result analysis for chlorpyrifos. The novel UCNPs maximizes energy donation to MnO(2) acceptor by employing 100 % of activator Yb(3+) in the nucleus for NIR excitation energy collection and confining emitter Tm(3+) to the surface layer to shorten energy transfer distance. Under NIR excitation, efficient quenching of upconversion blue-violet emission by MnO(2) nanoflakes occurs, and the quenched emission is recovered with acetylcholinesterase-mediated reactions. This process allows for the determination of chlorpyrifos by inhibiting enzymatic activity. The UCNPs/MnO(2) were embedded to fabricate a hydrogel portable kit, the blue-violet emission images captured by smartphone were converted into corresponding gray values by Python-assisted superiority chart algorithm which achieves a real-time rapid quantitative analysis of chlorpyrifos with a detection limit of 0.17 ng mL(-1). At the same time, pseudo-color images were also added by Python in "one run" to distinguish images clearly. This sensor detection with Python-assisted analysis platform provides a new perspective on pesticide monitoring and broadens the application prospects in bioanalysis. |
| PubMedSearch : Kong_2024_J.Colloid.Interface.Sci_670_626 |
| PubMedID: 38781653 |
Kong M, Lu Y, Ma Y, Zhao X, Wu J, Lu G, Yan X, Liu X (2024)
Upconversion-based hydrogel kit with Python-assisted analysis platform for sample-to-result detection of organophosphorus pesticide
J Colloid Interface Sci
670 :626
Kong M, Lu Y, Ma Y, Zhao X, Wu J, Lu G, Yan X, Liu X (2024)
J Colloid Interface Sci
670 :626