{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T02:40:04Z","timestamp":1791859204341,"version":"4.3.4"},"reference-count":63,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T00:00:00Z","timestamp":1788825600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002457","name":"Chosun University","doi-asserted-by":"publisher","award":["CHOSUN-2026"],"award-info":[{"award-number":["CHOSUN-2026"]}],"id":[{"id":"10.13039\/501100002457","id-type":"DOI","asserted-by":"publisher"}]},{"award":["CHOSUN-2026"],"award-info":[{"award-number":["CHOSUN-2026"]}],"id":[{"id":"https:\/\/ror.org\/01zt9a375","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biosensors"],"abstract":"<jats:p>Red blood cell (RBC) aggregation is an important hemorheological property that influences blood viscosity, microcirculation, and stored-blood quality. However, conventional measurements commonly require repeated flow cessation or flow-rate modulation, limiting continuous monitoring and providing little information on spatial heterogeneity. This study presents a microfluidic platform for the spatiotemporal mapping of RBC aggregation during continuous blood flow. Multiple high-resistance side chambers connected to a main channel create low-shear-rate regions for aggregation while maintaining high shear in the main channel for RBC disaggregation. Flow rates and shear rates are evaluated using a hydraulic circuit model, numerical simulation, and micro-PIV measurements. An aggregation index (AI) map is introduced to quantify spatial and temporal changes in the side chambers. AI remains high and stable at flow rates of 0.5~1 mL\/h. RBC aggregation increases significantly at concentrations of 15 mg\/mL or with more dextran solution (Cdex). At the selected flow rate of 1 mL\/h and Cdex = 40 mg\/mL, the 95% confidence interval of AI is 0.477~0.600 for the proposed method, compared with 0.364~0.460 for the previous method. The proposed AI value is approximately 30% higher than that obtained using the previous method. Moreover, AI decreases progressively during four weeks of RBC storage. These findings demonstrate continuous and multiple-location detection of RBC aggregation and support the use of this platform for assessing hemorheological alterations and storage-induced RBC deterioration.<\/jats:p>","DOI":"10.3390\/bios16090505","type":"journal-article","created":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T16:46:04Z","timestamp":1788885964000},"page":"505","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Continuous Measurement of Spatially Resolved Red Blood Cell Aggregation Using Multiple Side-Branch Channels"],"prefix":"10.3390","volume":"16","author":[{"given":"Minjae","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Chosun University, 10, Chosundae 1-gil, Dong-gu, Gwangju 61452, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"methodology","vocabulary":"credit"},{"role":"software","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5047-3012","authenticated-orcid":false,"given":"Yang Jun","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Chosun University, 10, Chosundae 1-gil, Dong-gu, Gwangju 61452, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"software","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"},{"role":"project-administration","vocabulary":"credit"},{"role":"funding-acquisition","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"23","DOI":"10.3233\/CH-2012-1573","article-title":"Erythrocyte aggregation: Basic aspects and clinical importance","volume":"53","author":"Baskurt","year":"2013","journal-title":"Clin. Hemorheol. Microcirc."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Nader, E., Skinner, S., Romana, M., Fort, R., Lemonne, N., Guillot, N., Gauthier, A., Antoine-Jonville, S., Renoux, C., and Hardy-Dessources, M.D. (2019). Blood rheology: Key parameters, impact on blood flow, role in sickle cell disease and effects of exercise. Front. Physiol., 10.","DOI":"10.3389\/fphys.2019.01329"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Lazari, D., Freitas Leal, J.K., Brock, R., and Bosman, G. (2020). The relationship between aggregation and deformability of red blood cells in health and disease. Front. Physiol., 11.","DOI":"10.3389\/fphys.2020.00288"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/S0006-3495(03)74456-7","article-title":"Cell-cell affinity of senescent human erythrocytes","volume":"85","author":"Neu","year":"2003","journal-title":"Biophys. J."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"75","DOI":"10.3233\/CH-2009-1202","article-title":"New guidelines for hemorheological laboratory techniques","volume":"42","author":"Baskurt","year":"2009","journal-title":"Clin. Hemorheol. Microcirc."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Higuchi, M., and Watanabe, N. (2022). A rapid and accurate method for estimating the erythrocyte sedimentation rate using a hematocrit-corrected optical aggregation index. PLoS ONE, 17.","DOI":"10.1371\/journal.pone.0270977"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"269","DOI":"10.3233\/CH-2009-1178","article-title":"Effects of storage duration and temperature of human blood on red cell deformability and aggregation","volume":"41","author":"Uyuklu","year":"2009","journal-title":"Clin. Hemorheol. Microcirc."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"H2644","DOI":"10.1152\/ajpheart.00534.2004","article-title":"Graded alterations of RBC aggregation influence in vivo blood flow resistance","volume":"287","author":"Yalcin","year":"2004","journal-title":"Am. J. Physiol. Heart Circ. Physiol."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Kaliviotis, E., Sherwood, J.M., and Balabani, S. (2017). Partitioning of red blood cell aggregates in bifurcating microscale flows. Sci. Rep., 7.","DOI":"10.1038\/srep44563"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1821","DOI":"10.1007\/s10237-019-01179-5","article-title":"Red blood cell distribution in a microvascular network with successive bifurcations","volume":"18","author":"Ye","year":"2019","journal-title":"Biomech. Model. Mechanobiol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1016\/j.bpj.2020.07.026","article-title":"Quantifying fibrinogen-dependent aggregation of red blood cells in type 2 diabetes mellitus","volume":"119","author":"Deng","year":"2020","journal-title":"Biophys. J."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1052","DOI":"10.1007\/s00134-003-1783-2","article-title":"Red blood cell rheology in sepsis","volume":"29","author":"Piagnerelli","year":"2003","journal-title":"Intensive Care Med."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Subendran, S., Wang, Y.C., Lu, Y.H., and Chen, C.Y. (2021). The evaluation of zebrafish cardiovascular and behavioral functions through microfluidics. Sci. Rep., 11.","DOI":"10.1038\/s41598-021-93078-y"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1177\/2047487316672004","article-title":"Plasma and blood viscosity in the prediction of cardiovascular disease and mortality in the Scottish Heart Health Extended Cohort Study","volume":"24","author":"Peters","year":"2017","journal-title":"Eur. J. Prev. Cardiol."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Williams, D.C., Higgins, J.M., and Wood, D.K. (2025). Quantifying the unique mechanical properties of irreversibly sickled cells in sickle cell disease. Blood Vessel. Thromb. Hemost., 2.","DOI":"10.1016\/j.bvth.2025.100077"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"355","DOI":"10.3233\/CH-180430","article-title":"Early red blood cell abnormalities as a clinical variable in sepsis diagnosis","volume":"70","author":"Ko","year":"2018","journal-title":"Clin. Hemorheol. Microcirc."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Alexandrova-Watanabe, A., Abadjieva, E., Gartcheva, L., Langari, A., Ivanova, M., Guenova, M., Tiankov, T., Strijkova, V., Krumova, S., and Todinova, S. (2025). The impact of targeted therapies on red blood cell aggregation in patients with chronic lymphocytic leukemia evaluated using software image flow analysis. Micromachines, 16.","DOI":"10.3390\/mi16010095"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Baskurt, O.K., Uyuklu, M., Hardeman, M.R., and Meiselman, H.J. (2009). Photometric measurements of red blood cell aggregation: Light transmission versus light reflectance. J. Biomed. Opt., 14.","DOI":"10.1117\/1.3251050"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1146\/annurev-fluid-010816-060302","article-title":"Blood Flow in the Microcirculation","volume":"49","author":"Secomb","year":"2017","journal-title":"Ann. Rev. Fluid Mech."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Lee, C.A., and Paeng, D.G. (2021). Numerical simulation of spatiotemporal red blood cell aggregation under sinusoidal pulsatile flow. Sci. Rep., 11.","DOI":"10.1038\/s41598-021-89286-1"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Mehri, R., Mavriplis, C., and Fenech, M. (2014). Design of a microfluidic system for red blood cell aggregation investigation. J. Biomech. Eng., 136.","DOI":"10.1115\/1.4027351"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Kang, Y.J. (2018). Microfluidic-based technique for measuring RBC aggregation and blood viscosity in a continuous and simultaneous fashion. Micromachines, 9.","DOI":"10.3390\/mi9090467"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.sna.2018.08.007","article-title":"An optofluidic point-of-care device for quantitative investigation of erythrocyte aggregation during coagulation","volume":"281","author":"Isiksacan","year":"2018","journal-title":"Sens. Actuator A-Phys."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3930","DOI":"10.1039\/D0LC00619J","article-title":"Vibration motor-integrated low-cost, miniaturized system for rapid quantification of red blood cell aggregation","volume":"20","author":"Namgung","year":"2020","journal-title":"Lab Chip"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"257","DOI":"10.3233\/CH-2011-1434","article-title":"Study of erythrocyte aggregation at pulsatile flow conditions with backscattering analysis","volume":"50","author":"Nam","year":"2012","journal-title":"Clin. Hemorheol. Microcirc."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Mehri, R., Mavriplis, C., and Fenech, M. (2018). Red blood cell aggregates and their effect on non-Newtonian blood viscosity at low hematocrit in a two-fluid low shear rate microfluidic system. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0199911"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Mehri, R., Niazi, E., Mavriplis, C., and Fenech, M. (2018). An automated method for dynamic red blood cell aggregate detection in microfluidic flow. Physiol. Meas., 39.","DOI":"10.1088\/1361-6579\/aaa0ad"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Yeom, E., and Lee, S.J. (2015). Microfluidic-based speckle analysis for sensitive measurement of erythrocyte aggregation: A comparison of four methods for detection of elevated erythrocyte aggregation in diabetic rat blood. Biomicrofluidics, 9.","DOI":"10.1063\/1.4917023"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1039\/C7AY02719B","article-title":"Microfluidic-based measurement of RBC aggregation and the ESR using a driving syringe system","volume":"10","author":"Kang","year":"2018","journal-title":"Anal. Methods"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3556","DOI":"10.1039\/C9AN00025A","article-title":"Simultaneous measurement of blood pressure and RBC aggregation by monitoring on-off blood flows supplied from a disposable air-compressed pump","volume":"144","author":"Kang","year":"2019","journal-title":"Analyst"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Kang, Y.J. (2025). Assessment of continuous flow-dependent red cell aggregation using a microfluidic chip. Appl. Sci., 15.","DOI":"10.3390\/app152111481"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1660","DOI":"10.1039\/b714742b","article-title":"Microfabrication of cavities in polydimethylsiloxane using DRIE silicon molds","volume":"7","author":"Giang","year":"2007","journal-title":"Lab Chip"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Kim, G., Jeong, S., and Kang, Y.J. (2020). Ultrasound standing wave-based cell-to-liquid separation for measuring viscosity and aggregation of blood sample. Sensors, 20.","DOI":"10.3390\/s20082284"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Charansonney, O.L., Morel, P., Dufaux, J., and Vicaut, E. (2022). Description and validation of a new, simple, easy-to handle, point-of-care technique for measuring erythrocyte aggregation kinetics. Sci. Rep., 12.","DOI":"10.1038\/s41598-022-18410-6"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Lee, C.A., Farooqi, H.M.U., and Paeng, D.G. (2023). Axial shear rate: A hemorheological factor for erythrocyte aggregation under Womersley flow in an elastic vessel based on numerical simulation. Comput. Biol. Med., 157.","DOI":"10.1016\/j.compbiomed.2023.106767"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Brust, M., Aouane, O., Thiebaud, M., Flormann, D., Verdier, C., Kaestner, L., Laschke, M.W., Selmi, H., Benyoussef, A., and Podgorski, T. (2014). The plasma protein fibrinogen stabilizes clusters of red blood cells in microcapillary flows. Sci. Rep., 4.","DOI":"10.1038\/srep04348"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2317","DOI":"10.1039\/D4LC00151F","article-title":"Effect of in-plane and out-of-plane bifurcated microfluidic channels on the flow of aggregating red blood cells","volume":"24","author":"Gholivand","year":"2024","journal-title":"Lab Chip"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3285","DOI":"10.1021\/ie071349z","article-title":"Formula for the viscosity of a glycerol\u2212water mixture","volume":"47","author":"Cheng","year":"2008","journal-title":"Ind. Eng. Chem. Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1039\/C2LC20799K","article-title":"Design of pressure-driven microfluidic networks using electric circuit analogy","volume":"12","author":"Oh","year":"2012","journal-title":"Lab Chip"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.1007\/s00348-010-1015-9","article-title":"Flow rate estimation in large depth-of-field micro-PIV","volume":"50","author":"Kloosterman","year":"2010","journal-title":"Exp. Fluids"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1146\/annurev-fluid-121108-145427","article-title":"Recent advances in micro-particle image velocimetry","volume":"42","author":"Wereley","year":"2010","journal-title":"Ann. Rev. Fluid Mech."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.mvr.2017.09.003","article-title":"Emergent behaviors in RBCs flows in micro-channels using digital particle image velocimetry","volume":"116","author":"Cairone","year":"2018","journal-title":"Microvasc. Res."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Thielicke, W., and Stamhuis, E.J. (2014). PIVlab\u2014Towards user-friendly, affordable and accurate digital particle image velocimetry in MATLAB. J. Open Res. Softw., 2.","DOI":"10.5334\/jors.bl"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3059","DOI":"10.1529\/biophysj.108.130328","article-title":"Effects of dextran molecular weight on red blood cell aggregation","volume":"95","author":"Neu","year":"2008","journal-title":"Biophys. J."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1007\/s00397-015-0882-7","article-title":"On the rheology of red blood cell suspensions with different amounts of dextran: Separating the effect of aggregation and increase in viscosity of the suspending phase","volume":"55","author":"Flormann","year":"2015","journal-title":"Rheol. Acta"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Grigorev, G.V., Lebedev, A.V., Wang, X., Qian, X., Maksimov, G.V., and Lin, L. (2023). Advances in microfluidics for single red blood cell analysis. Biosensors, 13.","DOI":"10.3390\/bios13010117"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Kim, H., Zhbanov, A., and Yang, S. (2022). Microfluidic systems for blood and blood cell characterization. Biosensors, 13.","DOI":"10.3390\/bios13010013"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1109\/TBME.2009.2036598","article-title":"Time course of electrical impedance during red blood cell aggregation in a glass tube: Comparison with light transmittance","volume":"57","author":"Baskurt","year":"2010","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Bosek, M., Ziomkowska, B., Pyskir, J., Wybranowski, T., Pyskir, M., Cyrankiewicz, M., Napiorkowska, M., Durmowicz, M., and Kruszewski, S. (2022). Relationship between red blood cell aggregation and dextran molecular mass. Sci. Rep., 12.","DOI":"10.1038\/s41598-022-24166-w"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"4871","DOI":"10.1039\/D1AY00948F","article-title":"Blood rheometer based on microflow manipulation of continuous blood flows using push-and-back mechanism","volume":"13","author":"Kang","year":"2021","journal-title":"Anal. Methods"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Kang, Y.J. (2022). Red blood cell sedimentation index using shear stress of blood flow in microfluidic channel. Biosensors, 12.","DOI":"10.3390\/bios12070547"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"93","DOI":"10.3233\/CH-15121","article-title":"RBC aggregation in dextran solutions can be measured by flow cytometry","volume":"65","author":"Zhao","year":"2017","journal-title":"Clin. Hemorheol. Microcirc."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Kang, Y.J. (2017). Microfluidic-based measurement method of red blood cell aggregation under hematocrit variations. Sensors, 17.","DOI":"10.3390\/s17092037"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1007\/s13367-011-0009-3","article-title":"Alteration of red blood cell aggregation during blood storage","volume":"23","author":"Lim","year":"2011","journal-title":"Korea-Aust. Rheol. J."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"451","DOI":"10.3233\/CH-2011-1495","article-title":"Metabolic depletion decreases the aggregability of erythrocytes","volume":"49","author":"Reinhart","year":"2011","journal-title":"Clin. Hemorheol. Microcirc."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1111\/j.1537-2995.2009.02521.x","article-title":"Is red blood cell rheology preserved during routine blood bank storage?","volume":"50","author":"Henkelman","year":"2010","journal-title":"Transfusion"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Isiksacan, Z., D\u2019Alessandro, A., Wolf, S.M., McKenna, D.H., Tessier, S.N., Kucukal, E., Gokaltun, A.A., William, N., Sandlin, R.D., and Bischof, J. (2023). Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine. Proc. Natl. Acad. Sci. USA, 120.","DOI":"10.1073\/pnas.2115616120"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s13367-020-0003-8","article-title":"Microfluidic-based effective monitoring of bloods by measuring RBC aggregation and blood viscosity under stepwise varying shear rates","volume":"32","author":"Kang","year":"2020","journal-title":"Korea-Aust. Rheol. J."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1111\/aor.13682","article-title":"The impact of circulation in a heart-lung machine on function and survival characteristics of red blood cells","volume":"44","author":"Vermeer","year":"2020","journal-title":"Artif. Organs"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1097\/TA.0000000000002730","article-title":"Damage to red blood cells during whole blood storage","volume":"89","author":"Oh","year":"2020","journal-title":"J. Trauma Acute Care Surg."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1515\/hsz-2022-0184","article-title":"Determination of free heme in stored red blood cells with an apo-horseradish peroxidase-based assay","volume":"403","author":"Vijayan","year":"2022","journal-title":"Biol. Chem."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Tzounakas, V.L., Anastasiadi, A.T., Lekka, M.E., Papageorgiou, E.G., Stamoulis, K., Papassideri, I.S., Kriebardis, A.G., and Antonelou, M.H. (2022). Deciphering the relationship between free and vesicular hemoglobin in stored red blood cell units. Front. Physiol., 13.","DOI":"10.3389\/fphys.2022.840995"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Tran, L.N.T., Gonzalez-Fernandez, C., and Gomez-Pastora, J. (2024). Impact of different red blood cell storage solutions and conditions on cell function and viability: A systematic review. Biomolecules, 14.","DOI":"10.3390\/biom14070813"}],"container-title":["Biosensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-6374\/16\/9\/505\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T16:49:25Z","timestamp":1788886165000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-6374\/16\/9\/505"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,8]]},"references-count":63,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["bios16090505"],"URL":"https:\/\/doi.org\/10.3390\/bios16090505","relation":{},"ISSN":["2079-6374"],"issn-type":[{"value":"2079-6374","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,8]]}}}