Publicação
Flow-through 3D-printed device for automatic microsampling and handling of dried urine spots
| dc.contributor.author | Fernandes, Sara R. | |
| dc.contributor.author | Cunha, Diana R. | |
| dc.contributor.author | Guidetti, Federica | |
| dc.contributor.author | Barreiros, Luísa | |
| dc.contributor.author | Miró, Manuel | |
| dc.contributor.author | Segundo, Marcela A. | |
| dc.contributor.author | Barreiros, Luisa | |
| dc.contributor.author | Fernandes, Sara | |
| dc.date.accessioned | 2026-05-29T14:14:24Z | |
| dc.date.available | 2026-05-29T14:14:24Z | |
| dc.date.issued | 2026-02-01 | |
| dc.description.abstract | 3D printing has revolutionized analytical chemistry by allowing the development of miniaturized and high- precision devices. In bioanalysis, sample collection and pre-treatment can be facilitated using 3D printing combined with flow analysis and mass spectrometry. Hence, a customized 3D-printed device was designed for sampling, clean-up, and target retrieval using filter paper as a sample collection material and sorbent. This device was integrated into a flow network for fully automatic extraction and applied to detect three anticoagulants in human urine. Different printing materials, designs and other factors related to fused deposition modeling 3D printing such as the infill percentage were evaluated to achieve the configuration that allowed the implementation of sampling and separation procedures in the same device. After establishing the final design of the device, several parameters such as the eluent composition and the hydrodynamic conditions were studied to enhance the recovery of the target analytes, namely apixaban, rivaroxaban, and warfarin. The processed samples were analyzed by UHPLC-MS/MS in positive ionization mode using a BEH C18 column. The method demonstrated good linearity (r2 >0.998) for quantification of the target analytes at concentrations ranging from 0.20 to 20 μg L 1 for apixaban and warfarin, and from 0.50 to 20 μg L 1 for rivaroxaban. LOD and LOQ values of 0.06–0.2 μg L 1 and 0.1–0.5 μg L 1, respectively, for undiluted urine were obtained. The method was found to be accurate (97.0–102 %) and precise (CV ≤6.0 %). This new approach, according to the scores obtained by applying the AGREEprep (0.70), AGREE (0.65) and BAGI (70) metrics, can be described as environmentally friendly, practical and suitable for bioanalytical purposes. | eng |
| dc.description.sponsorship | PID2020-117686RB-C33-R and PID2024-156804OBC33 (MCIN/AEI/10.13039/501100011033) | |
| dc.identifier.citation | Fernandes, S. R., Cunha, D. R., Guidetti, F., Barreiros, L., Miró, M., & Segundo, M. A. (2026). Flow-through 3D-printed device for automatic microsampling and handling of dried urine spots. Talanta, 298, 129030. https://doi.org/10.1016/j.talanta.2025.129030 | |
| dc.identifier.doi | 10.1016/j.talanta.2025.129030 | |
| dc.identifier.eissn | 2666-8319 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/32470 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier | |
| dc.relation | UID/50006/2025; 2022.06012.PTDC; SFRH/BD/130948/2017, COVID/BD/ 152406/2022 and 2020.04917.BD | |
| dc.relation.hasversion | https://www.sciencedirect.com/science/article/pii/S0039914025015218?via%3Dihub | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | 3D printing | |
| dc.subject | Automation | |
| dc.subject | Dried urine spot | |
| dc.subject | Flow analysis | |
| dc.subject | Mass spectrometry | |
| dc.title | Flow-through 3D-printed device for automatic microsampling and handling of dried urine spots | eng |
| dc.type | research article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | Part B | |
| oaire.citation.title | Talanta | |
| oaire.citation.volume | 298 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Barreiros | |
| person.familyName | Fernandes | |
| person.givenName | Luisa | |
| person.givenName | Sara | |
| person.identifier.ciencia-id | 611F-E0C5-0230 | |
| person.identifier.ciencia-id | 1C12-D800-38A4 | |
| person.identifier.orcid | 0000-0003-3481-5809 | |
| person.identifier.orcid | 0000-0001-7042-1941 | |
| person.identifier.rid | D-7950-2013 | |
| person.identifier.scopus-author-id | 6508205485 | |
| person.identifier.scopus-author-id | 57203278917 | |
| relation.isAuthorOfPublication | 1e66bacc-64de-4ecb-96b7-4c0e366cba57 | |
| relation.isAuthorOfPublication | 6c2ed5f0-c3fd-4559-99a3-b8d78d019b47 | |
| relation.isAuthorOfPublication.latestForDiscovery | 1e66bacc-64de-4ecb-96b7-4c0e366cba57 |
