{"doi":"10.1021/acs.jpclett.5c02534","title":"Robust Noise Separation and Denoising of Ionic Current Signals for Nanopore Sensors Based on Independent Component Analysis","abstract":null,"journal":"The Journal of Physical Chemistry Letters","year":2025,"id":652640,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1702567,"name":"Shenzhi Nie","orcid":null,"position":1,"is_corresponding":false},{"id":1702568,"name":"Runqi Jin","orcid":null,"position":2,"is_corresponding":false},{"id":1702569,"name":"Jianxuan Yuan","orcid":null,"position":3,"is_corresponding":false},{"id":1095901,"name":"Lihua Tang","orcid":"0000-0002-8970-8245","position":4,"is_corresponding":false},{"id":1075932,"name":"Lingzhi Wu","orcid":"0000-0002-0219-2056","position":5,"is_corresponding":false},{"id":1702566,"name":"Qianli D. Y. Ma","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Robust Noise Separation and Denoising of Ionic Current Signals for Nanopore Sensors Based on Independent Component Analysis","abstract":"Nanopore technology holds great potential for broad applications of DNA sequencing, protein identification, and versatile biomedical sensing. However, the detection of ion currents through nanopores is hampered by strong background noise across the entire frequency range. Here, a denoising method based on independent component analysis (ICA) has been introduced to decompose multiple random signals into mutually components that are statistically as independent from each other as possible. The results demonstrate that ICA can effectively separate and reduce the noise across the whole frequency range, rather than simply limiting a certain cutoff frequency. The denoising effect is remarkable for the common mode noise based on the correlation of currents and voltages. The improved current signals have been identified and analyzed statistically in large quantities, while retaining more temporal features of current pulses at higher bandwidths. The robust performance of ICA offers a favorable term to promote the precision of nanopore sensors in broader applications.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41047590","pmcid":null,"openalex_id":"https://openalex.org/W4414848060","authors":[],"funders":[{"funder_name":"Nanjing University of Posts and Telecommunications","grant_id":"2022XSG01","title":null},{"funder_name":"Nanjing University of Posts and Telecommunications","grant_id":"NY220222","title":null},{"funder_name":"National Natural Science Foundation of China","grant_id":"12474060","title":null}],"total_grants":3,"fwci":0.0,"citation_percentile":0.21964423,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":"https://doi.org/10.15223/policy-029","oa_locations":[{"url":"https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.5c02534","host_type":"publisher"},{"url":"https://doi.org/10.1021/acs.jpclett.5c02534","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41047590","host_type":"repository"}],"fields_of_study":["Nanopore and Nanochannel Transport Studies","Geophysical and Geoelectrical Methods","Ultrasonics and Acoustic Wave Propagation"],"mesh_terms":[],"keywords":["Noise (video)","Nanopore","Independent component analysis","Noise reduction","Component (thermodynamics)","Current (fluid)","Background noise","Noise measurement"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T16:20:55.975805Z","pmid":null,"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":[]}