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In this study, Janus nanoparticles (JNPs) with an asymmetric structure were synthesized in seeded emulsion polymerization and employed to stabilize graphene featuring hydrophobic surfaces to build the conductive network in one pot. Owing to the self\u2010stratification induced by JNPs, the graphene was deposited autonomously at the bottom to achieve a hierarchical structure consisting of a conductive network layer, flexible stretchable layer, and a strongly bonded interface. Excitingly, the confined conductive network layer effectively reduced the percolation threshold to only 0.06 wt.%. Due to the ultra\u2010thin and variable nature of the as\u2010formed conductive network layer, the sensitivity of this stratified composite film ranged from 224 to 6205. Then, it was used to sensitively distinguish water droplets with different falling heights and masses. It provided an ideal low\u2010cost approach for the commercial production of high\u2010performance graphene\u2010based sensors.<\/jats:p>","DOI":"10.1002\/smll.75457","type":"journal-article","created":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T15:02:41Z","timestamp":1790262161000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Low\u2010Threshold and High\u2010Sensitivity Hierarchical Sensing Film Based on Janus Nanoparticles for Monitoring Liquid Leakage"],"prefix":"10.1002","author":[{"given":"Jiaqi","family":"Shi","sequence":"first","affiliation":[{"name":"College of Materials Science and Engineering Shenyang University of Chemical Technology  Shenyang People's Republic of China"},{"name":"Department of Chemical Engineering Tsinghua University  Beijing People's Republic of 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