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Related Experiment Video

Updated: Jun 13, 2026

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Utilization Patterns of Hospital Biobank Samples: Time to First Use and Material-Specific Demand.

Patrick Mucher¹, Manuela Bayer¹, Ines Flieder¹

¹Department of Laboratory Medicine, Medical University of Vienna, 1090 Vienna, Austria.

Journal of Clinical Medicine

|June 12, 2026

Summary

This summary is machine-generated.

Biobank utilization analysis reveals low aliquot rates (3.5%) but highlights material-specific demand. This data aids resource planning for prospective cohorts and dedicated studies in hospital biobanks.

Keywords:

aliquot patterns biobank utilization prospective biobanking sample management storage time

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Area of Science:

Biomedical research
Biobanking and sample management
Health services research

Background:

Biobanks collect biological material for future research, but utilization patterns are poorly understood.
Understanding sample usage is crucial for effective resource allocation and biobank planning.
The relationship between biobank collection strategies and research utilization requires further investigation.

Purpose of the Study:

To analyze the time to first use and utilization rates of biobanked samples.
To stratify utilization by collection type (prospective cohorts vs. dedicated studies) and sample material.
To provide an evidence base for optimizing resource planning in hospital-based biobanks.

Main Methods:

Retrospective analysis of metadata from 13,666 submissions across 56 collections at MedUni Wien Biobank in 2019.
Classification of collections into prospective cohorts or dedicated studies.
Assessment of utilization at collection, submission, and aliquot levels.

Main Results:

Within 6-7 years, 55% of collections, 25.4% of submissions, and 3.5% of aliquots were utilized.
Serum was the most requested material; citrate and lithium heparin plasma had higher aliquot requests per sample.
Four material types (buffy coat, ccfDNA, double-centrifuged citrate plasma, saliva) showed no demand.

Conclusions:

The low aliquot utilization rate (3.5%) reflects data granularity and aliquoting strategy, not necessarily low sample demand.
Material-specific demand and timing patterns offer insights for biobank resource planning.
Evidence-based patterns support efficient management of hospital-based biobanks.