Evidence map›Paper›PMID 42222764›Full record

ArticleACS omega2026

Optimization and Performance Evaluation of Melt-Blown Fiber Membranes for Leukocyte Separation from Whole Blood.

Firdevs Mert Sivri, Numan Hoda, Mehmet Ali Selek, Fatma Kara

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Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Firdevs Mert SivriFaculty of Pharmacy, Department of Basic Pharmaceutical Sciences, Suleyman Demirel University, 3200 Isparta, Türkiye.ORCID https://orcid.org/0000-0002-0545-0268
Numan HodaFaculty of Engineering, Department of Materials Science and Engineering, Akdeniz University, 07058 Antalya, Türkiye.
Mehmet Ali SelekAntıpTechnological and Medical Goods Co., Antalya, Türkiye.
Fatma KaraFaculty of Engineering, Department of Materials Science and Engineering, Akdeniz University, 07058 Antalya, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leukocytes need to be eliminated from blood components in order to lower the risk of adverse transfusion responses and guarantee patient safety during transfusion. Nowadays, nonwoven fabric filters are typically used to remove leukocytes from whole blood and blood components. Research on these types of filters, filter materials, and filtration mechanisms is increasing day by day to further enhance leukocyte removal. In this work, melt-blown nonwoven layers were produced from polybutylene terephthalate (PBT) and polyamide-12 (PA-12) and combined into eight leukocyte filter prototypes with varying architectures, such as PBT-only stacks and PBT/PA-12 multilayer combinations with ∼60-100 total layers and average pore diameters in individual layers of ∼14.7-67.8 μm. The melt-blown processing conditions (air pressure, polymer flow rate, die-collector distance, and collector speed) were screened for their influence on fiber diameter and layer thickness to produce filter-grade nonwovens. Filter morphology, pore size distribution, thermal stability, and surface charge (pHpzc) were analyzed, and filtration performance was assessed using gravity-driven whole-blood processing (450 mL per unit). Filters with both PBT and PA-12 layers removed >99% leukocytes with <10% erythrocyte loss, which is superior to PBT-only filters. This enhanced performance is ascribed to the synergistic surface properties of the mildly basic PBT and the nitrogen-containing PA-12, which facilitate adsorption-mediated leukocyte capture in the multilayer filter. In summary, these findings show that melt-blown PBT/PA-12 multilayer filters offer a scalable platform for efficient leukoreduction with low erythrocyte loss.

Identifiers

PMID42222764
PMCPMC13216972

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.