Abstract: OBJECTIVE To predict potential quality marker(Q-Marker) of Linderae Radix based on fingerprint detection and network pharmacology analysis. METHODS Fingerprint of Linderae Radix was established by HPLC, common peaks were confirmed and identified. The “active-component-target-pathway” network was constructed by network pharmacology method and predicted the Q-Marker. RESULTS Fingerprints of 15 batches of Linderae Radix were established, 20 common peaks were identified, and 4 peaks(norisoboldine, linderane, linderalactone, lindenenol) were identified by reference substances. According to network pharmacology, above four components were identified as active components of Linderae Radix, which showed anti-inflammatory and analgesia effects through acting on 10 core targets and 20 key pathways. Norisoboldine, linderane, linderalactone, lindenenol were preliminarily predicted as potential Q-Marker of Linderae Radix.CONCLUSION The Q-Marker of Linderae Radix can provide references for quality evaluation of medicinal materials and lay a foundation for elucidation of action mechanism of pharmacodynamic substance basis.