▎ 摘　　要

NOVELTY - Detecting prostate cancer exosomal microRNA based on controllable near-infrared light-mediated phase change sol droplet digital polymerase chain reaction technology, comprises e.g. developing laser controllable output module, binding high-efficacy photothermal nanomaterials and nanoparticles together through dopamine, wrapping coating, mixing into temperature-sensitive hydrogel, forming chip, emulsifying, and using orthogonal test, quantitatively considering influence of heating rate of droplet group by laser irradiation power and content of nanomaterials, compiling program, burning into Arduino circuit board, placing droplet group under laser fiber probe, and simultaneously realizing reverse transcription reaction and polymerase chain reaction process of fluorescent probe, counting proportion of luminescent droplets in droplet group by fluorescence photography, and quantitatively obtaining contents of microRNA markers miR-375-3p and miR-574-3p. USE - The method is useful for detecting prostate cancer exosomal microRNA based on controllable near-infrared light-mediated phase change sol droplet digital polymerase chain reaction technology. ADVANTAGE - The method counts proportion of luminescent droplets in droplet group by fluorescence photography, and obtains contents of microRNA markers miR3753p and miR5743p. DETAILED DESCRIPTION - Detecting prostate cancer exosomal microRNA based on controllable near-infrared light-mediated phase change sol droplet digital polymerase chain reaction technology comprises (i) developing laser controllable output module, (ii) binding high-efficacy photothermal nanomaterials and nanoparticles together through dopamine, and then wrapping silicon dioxide outer coating on outside through an improved reaction to obtain photothermal composite material, mixing photothermal composite material into temperature-sensitive hydrogel to obtain composite hydrogel, forming chip by microfluidic droplets, and emulsifying composite hydrogel into droplet group, and (iii) using orthogonal test, quantitatively considering influence of heating rate of droplet group by laser irradiation power and content of nanomaterials, compiling program on Arduino IDE open source platform to optimize lighting program, and burning into Arduino circuit board, placing droplet group under laser fiber probe, and simultaneously realizing reverse transcription reaction and polymerase chain reaction process of fluorescent probe, counting proportion of luminescent droplets in droplet group by fluorescence photography, and quantitatively obtaining contents of microRNA markers miR-375-3p and miR-574-3p.