Hemin hybrid nanoflower and preparation method and application thereof

Abstract

The invention relates to a hemin hybrid nanoflower and a preparation method and application thereof and belongs to the field of rapid detection of food-borne pathogenic bacteria. The problems of highcost and complex design in a conventional detection food-borne pathogenic bacteria sensor are solved. The method for preparing the hemin hybrid nanoflower includes the steps of taking a 1.5 mL centrifuge tube, sequentially adding and suspending 0.03 mg of hemin and 0.06 mg of ConA in 800 [mu]L of 10 mM phosphate buffer solution (PBS), wherein the PBS contains 20 [mu]L of 120 mM CuSO4; after uniform shaking and mixing and normal temperature standing and incubation for 18-24 h, performing centrifugation at 10000 rpm for 3 to 5 minutes, discarding supernatant, adding 100 [mu]L of 0.1 mM PBS for suspension, and storing the product at 4 DEG C for use. The hemin hybrid nanoflower is simple to operate, low in cost, high in sensitivity and good in specificity.

Description

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AI Technical Summary

Benefits of technology

This patented inventor describes an improved technique called heminglehybrid nanonfinger (NGF), that uses special materials like iron oxide or manganese dioxide instead of expensive chemicals found commonly used today. These techniques have been developed over time but they still lack certain technical features needed for effective use in detecting harmful microorganisms in real world applications.

Problems solved by technology

This patented describes various ways to quickly test or diagnose harmful substance levels associated with food products like fruits and vegetables. Current testing techniques involve laborious procedures involving multiple steps, expensive instrumentations, complex operation protocols, and difficult operating conditions. There is an urgent demand for simpler and faster tests without compromising accuracy and reliability. Nanoparticles provide this advantage because they require minimal manipulation while still being effective at identifying specific types of harmful agents. However current analysis tools lack flexibility and suitable target materials needed for accurate results.

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