Accurate　and　quantitative　profiling　of　air　particulate　matter　(PM)　compositions　is　essential　for　assessing　local　pollution　information.　The　method　combining　mobile　aerial　sampling　using　unmanned　aerial　vehicles　(UAVs)　and　prompt　analysis　excels　in　this　regard　as　it　allows　spatiotemporal　mapping　of　air　pollution,　especially　in　the　vertical　direction.　However,　applications　of　the　method　are　still　scarce　as　it　is　limited　by　a　lack　of　sampling　reliability　due　to　insufficient　aerial　sampling　time　and　a　lack　of　accurate,　portable　quantification　techniques.　In　this　work,　by　integrating　mobile　aerial　sampling　with　in-flight　tethered　charging　and　smartphone-based　colorimetric　analysis　in　a　cost-effective　paper　microfluidic　device,　we　present　a　method　for　quantitative,　reliable　profiling　of　spatiotemporal　variation　in　air　PM　compositions.　The　method　extends　aerial　sampling　time　to　12-15　flight　hours　per　deployment,　thereby　significantly　improving　sampling　reliability　while　maintaining　the　maneuverability　of　the　UAVs.　Also,　smartphone-based　colorimetric　analysis　combined　with　paper-based　microfluidics　enables　portable,　economically　efficient　analysis　and　is　well-suited　for　using　in　low-resource　settings.　We　demonstrated　the　utility　of　the　method　by　carrying　out　a　spatiotemporal　variation　study　of　air　PM　trace　metal　components　(Fe,　Ni,　and　Mn)　at　4　geographical　locations　in　Fuzhou,　China,　for　a　period　of　21　days,　and　the　results　were　in　good　agreement　with　results　obtained　from　using　a　commercial　instrument.　Beside　air　PM　composition　study,　this　method　is　universally　applicable　and　holds　great　potential　to　be　extended　to　multipollutant　analysis,　such　as　prompt　detection　of　airborne　viruses,　bacteria,　and　others.