Evidence map›Paper›PMID 41931140›Full record

ArticleBioprocess and biosystems engineering2026

TiO

Jesus Jimenez-Osorio, Carolina Rivera-Crespo, William Meza-Morales, Maria J Buendia-Otero, Maria Ramos-Alamo, Deisy Jimenez-Corzo, Sahimy Ayus-Martinez, Maribella Domenech, Camilo Mora

Abstract read
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In one paragraph

Article in Bioprocess and biosystems engineering, 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Corrections and comments

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

9 authors.

Jesus Jimenez-OsorioDepartment of Chemical Engineering, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA.ORCID https://orcid.org/0009-0008-5427-1355
Carolina Rivera-CrespoBioengineering Graduate Program, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA.
William Meza-MoralesDepartment of Chemical Engineering, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA.ORCID https://orcid.org/0000-0002-2759-4334
Maria J Buendia-OteroDepartment of Chemical Engineering, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA.ORCID https://orcid.org/0000-0001-7576-1646
Maria Ramos-AlamoBioengineering Graduate Program, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA.
Deisy Jimenez-CorzoDepartment of Chemical Engineering, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA.
Sahimy Ayus-MartinezDepartment of Chemical Engineering, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA.
Maribella DomenechDepartment of Chemical Engineering, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA.ORCID https://orcid.org/0000-0001-7061-8090
Camilo MoraDepartment of Chemical Engineering, University of Puerto Rico-Mayaguez Campus, Mayaguez, PR, 00680, USA. camilo.mora@upr.edu.ORCID https://orcid.org/0000-0001-6863-8068

Funding

Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health (NIH) P20 GM103475-20National Science Foundation (NSF) Engineering Research Center (ERC) for Cell Manufacturing Technologies (CMaT) EEC-1648035Puerto Rico Science, Technology & Research Trust under Advanced Research Grant (ARG) program ARG-2024-00183
6 · The paper itself

Abstract

Robust cell manufacturing demands minimally invasive methods to enrich and quantify representative secretome biomarkers, thereby providing critical insights into cellular phenotype and therapeutic potency. Here, we evaluated a titanium dioxide (TiO2)-based batch adsorption platform for the non-invasive capture and quantification of secretome-associated biomolecules from human embryonic kidney 293T (HEK293T) and bone marrow-derived mesenchymal stem/stromal cell (MSC) cultures. Leveraging TiO2’s affinity for phosphate-containing biomolecules, we first evaluated TiO2 powders and microspheres using standardized green fluorescent protein (GFP)-labeled extracellular vesicles (EVs) to benchmark adsorption behavior, and subsequently applied the workflow to capture phosphatidylcholine (PC) and extracellular ribonucleic acid (exRNA) directly from conditioned media. Adsorption performance was systematically evaluated under serum-supplemented, serum-free, protein-supplemented, and preconditioned conditions, including ultracentrifuged secretome fractions. Preconditioning to remove serum, bovine serum albumin (BSA), and phenol red reduced background interference and improved biomarker capture (i.e., PC and exRNA). Under optimized conditions, TiO2 enabled consistent PC capture, whereas exRNA recovery remained limited, likely reflecting weaker molecular interactions and competitive adsorption effects within complex secretomes. Collectively, these results delineate operational parameters enabling measurable biomarker recovery and demonstrate the bench-scale feasibility of TiO2 as a practical, low-cost platform for secretome analysis. Overall, these findings lay the groundwork for TiO2-based adsorption systems as non-invasive tools to support future real-time monitoring of cell culture dynamics in cell manufacturing.

Indexed as

Mesenchymal Stem CellsSecretomeTitaniumAdsorptionBiomarkersHEK293 CellsHumansRNABiomarkersRNATitaniumtitanium dioxidebiomolecule adsorptionextracellular ribonucleic acid (exRNA)extracellular vesicles (EVs)phosphatidylcholine (PC)secretometitanium dioxide (TiO2)

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.