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Validation of 3D-Printed Swabs for Sampling in SARS-CoV-2 Detection: A Pilot Study
Verónica Bolaños-Suaréz1, Alma Villalobos-Osnaya1, José Antonio García-García2
1Hospital General de México, "Dr. Eduardo Liceaga", Servicio de Farmacología Clínica, 06720, Ciudad de Mexico, Mexico.
Annals of Biomedical Engineering
|September 12, 2022
Summary
3D-printed swabs made from polylactic acid (PLA) are effective for collecting samples for SARS-CoV-2 detection. These cost-effective swabs are suitable for reverse transcriptase-polymerase chain reaction (qRT-PCR) testing and show comparable results to traditional swabs.
Area of Science:
- Biomaterials Engineering
- Medical Diagnostics
- 3D Printing Technology
Background:
- Nasopharyngeal and oropharyngeal swabs are critical for detecting SARS-CoV-2.
- Traditional swabs can face supply chain challenges and higher costs.
- 3D printing offers a potential solution for customized and affordable medical devices.
Purpose of the Study:
- To characterize and evaluate 3D-printed polylactic acid (PLA) swabs for SARS-CoV-2 sample collection.
- To assess the mechanical properties and in vitro performance of these novel swabs.
- To determine the suitability of 3D-printed swabs for viral RNA detection using qRT-PCR.
Main Methods:
- Fused deposition modeling technique used to create PLA swabs.
- Mechanical testing in laboratory and Adult Human Simulator environments.
- In vitro validation of cell collection, RNA extraction, and qRT-PCR analysis with samples from healthy volunteers.
Main Results:
- 3D-printed PLA swabs demonstrated good flexibility, maneuverability, and robustness for sample collection.
- PLA material did not interfere with RNA extraction or qRT-PCR assays.
- Reproducible threshold cycle (Ct) values for the reference gene (RNase P) were observed, comparable to control swabs (p=0.47).
Conclusions:
- 3D-printed PLA swabs are a reliable and economical alternative for mass SARS-CoV-2 detection.
- The study validates the use of 3D-printed swabs in standard diagnostic workflows.
- This technology presents a promising solution to enhance diagnostic supply chains.

