{"doi":"10.1039/d0lc00106f","title":"A disposable acoustofluidic chip for nano/microparticle separation using unidirectional acoustic transducers","abstract":"Separation of nano/microparticles based on surface acoustic waves (SAWs) has shown great promise for biological, chemical, and medical applications ranging from sample purification to cancer diagnosis. However, the permanent bonding of a microchannel onto relatively expensive piezoelectric substrates and excitation transducers renders the SAW separation devices non-disposable. This limitation not only requires cumbersome cleaning and increased labor and material costs, but also leads to cross-contamination, preventing their implementation in many biological, chemical, and medical applications. Here, we demonstrate a high-performance, disposable acoustofluidic platform for nano/microparticle separation. Leveraging unidirectional interdigital transducers (IDTs), a hybrid channel design with hard/soft materials, and tilted-angle standing SAWs (taSSAWs), our disposable acoustofluidic devices achieve acoustic radiation forces comparable to those generated by existing permanently bonded, non-disposable devices. Our disposable devices can separate not only microparticles but also nanoparticles. Moreover, they can differentiate bacteria from human red blood cells (RBCs) with a purity of up to 96%. Altogether, we developed a unidirectional IDT-based, disposable acoustofluidic platform for micro/nanoparticle separation that can achieve high separation efficiency, versatility, and biocompatibility.","journal":"Lab on a Chip","year":2020,"id":53633,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":114,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9485,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":274157,"name":"Mengxi Wu","orcid":"0000-0003-0086-5349","position":1,"is_corresponding":false},{"id":266326,"name":"Shujie Yang","orcid":"0000-0003-2626-3397","position":2,"is_corresponding":false},{"id":266325,"name":"Yuqi Wu","orcid":"0000-0002-5162-6471","position":3,"is_corresponding":false},{"id":266327,"name":"Yuyang Gu","orcid":"0000-0002-6545-2521","position":4,"is_corresponding":false},{"id":274158,"name":"Chuyi Chen","orcid":"0000-0001-5733-4261","position":5,"is_corresponding":false},{"id":276285,"name":"Jennifer Ye","orcid":null,"position":6,"is_corresponding":false},{"id":274159,"name":"Zhemiao Xie","orcid":"0000-0002-1672-3479","position":7,"is_corresponding":false},{"id":266321,"name":"Zhenhua Tian","orcid":"0000-0002-1903-5604","position":8,"is_corresponding":false},{"id":235105,"name":"Hunter Bachman","orcid":"0000-0002-2356-5392","position":9,"is_corresponding":false},{"id":274160,"name":"Po‐Hsun Huang","orcid":"0000-0001-9600-0141","position":10,"is_corresponding":false},{"id":274161,"name":"Jianping Xia","orcid":"0000-0001-9902-0228","position":11,"is_corresponding":false},{"id":235104,"name":"Peiran Zhang","orcid":"0000-0002-3873-9949","position":12,"is_corresponding":false},{"id":276286,"name":"Heying Zhang","orcid":null,"position":13,"is_corresponding":false},{"id":235107,"name":"Tony Jun Huang","orcid":"0000-0003-1205-3313","position":14,"is_corresponding":false},{"id":274156,"name":"Shuaiguo Zhao","orcid":"0000-0002-0139-8466","position":0,"is_corresponding":true}],"reference_count":70,"raw_metadata":null,"created_at":"2026-07-18T20:45:25.145885Z","pmid":"32195522","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}