{"doi":"10.1002/adhm.201901794","title":"3D Bioprinting of Oxygenated Cell‐Laden Gelatin Methacryloyl Constructs","abstract":"Abstract Cell survival during the early stages of transplantation and before new blood vessels formation is a major challenge in translational applications of 3D bioprinted tissues. Supplementing oxygen (O 2 ) to transplanted cells via an O 2 generating source such as calcium peroxide (CPO) is an attractive approach to ensure cell viability. Calcium peroxide also produces calcium hydroxide that reduces the viscosity of bioinks, which is a limiting factor for bioprinting. Therefore, adapting this solution into 3D bioprinting is of significant importance. In this study, a gelatin methacryloyl (GelMA) bioink that is optimized in terms of pH and viscosity is developed. The improved rheological properties lead to the production of a robust bioink suitable for 3D bioprinting and controlled O 2 release. In addition, O 2 release, bioprinting conditions, and mechanical performance of hydrogels having different CPO concentrations are characterized. As a proof of concept study, fibroblasts and cardiomyocytes are bioprinted using CPO containing GelMA bioink. Viability and metabolic activity of printed cells are checked after 7 days of culture under hypoxic condition. The results show that the addition of CPO improves the metabolic activity and viability of cells in bioprinted constructs under hypoxic condition.","journal":"Advanced Healthcare Materials","year":2020,"id":51559,"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":153,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9571,"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":258012,"name":"Mohammad Ali Darabi","orcid":"0000-0002-2561-9972","position":1,"is_corresponding":false},{"id":242296,"name":"Rohollah Nasiri","orcid":"0000-0002-8245-692X","position":2,"is_corresponding":false},{"id":260953,"name":"Sivakoti Sangabathuni","orcid":null,"position":3,"is_corresponding":false},{"id":258013,"name":"Yavuz Nuri Ertaş","orcid":"0000-0002-6791-7484","position":4,"is_corresponding":false},{"id":258014,"name":"Halima Alem","orcid":"0000-0002-7918-0504","position":5,"is_corresponding":false},{"id":258015,"name":"Vahid Hosseini","orcid":"0000-0002-4596-1513","position":6,"is_corresponding":false},{"id":242301,"name":"Amir Shamloo","orcid":"0000-0002-0131-0567","position":7,"is_corresponding":false},{"id":258016,"name":"Ali S. Nasr","orcid":"0000-0003-2965-3550","position":8,"is_corresponding":false},{"id":241790,"name":"Samad Ahadian","orcid":"0000-0002-6784-5716","position":9,"is_corresponding":false},{"id":241791,"name":"Mehmet R. Dokmeci","orcid":"0000-0003-2226-9441","position":10,"is_corresponding":false},{"id":230339,"name":"Ali Khademhosseini","orcid":"0000-0002-2692-1524","position":11,"is_corresponding":false},{"id":230337,"name":"Nureddin Ashammakhi","orcid":"0000-0003-0181-6055","position":12,"is_corresponding":false},{"id":258011,"name":"Ahmet Erdem","orcid":"0000-0003-3911-4753","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":null,"created_at":"2026-07-18T20:41:30.009880Z","pmid":"32548961","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":[]}