Dataset for "3D‐Printed Hollow Microneedle‐Lateral Flow Devices for Rapid Blood‐Free Detection of C‐Reactive Protein and Procalcitonin"

This dataset pertains to a study involving the use of 3D printed hollow microneedles (HMNs) for the detection of c-reactive protein and procalcitonin. It includes:

- Chemical modification of the HMNs surface to enhance its ability to uptake fluids rapidly;
- the mechanical properties and skin penetration of both HMNs;
- Characterizations' of the material, including FTIR, TGA and AFM;
- Cytotoxicity assessment of the HMNs;
- Uptake of CRP and PCT in solutions and detection using LFTs.

The data provides a suggestion towards the use of HMNs for the effective rapid diagnostics of inflammation markers.


Cite this dataset as:
Turner, J., Lay, E., Jungwirth, U., Varenko, V., Gill, R., Estrela, P., Leese, H., 2023. Dataset for "3D‐Printed Hollow Microneedle‐Lateral Flow Devices for Rapid Blood‐Free Detection of C‐Reactive Protein and Procalcitonin". Bath: University of Bath Research Data Archive. Available from:


[QR code for this page]

application/zip (50MB)
Creative Commons: Attribution 4.0


Joe Turner
Data Collector
University of Bath

Emily Lay
Data Collector
University of Bath

Ute Jungwirth
Data Collector
University of Bath

Valentyna Varenko
Data Collector
University of Bath

Richie Gill
Data Collector
University of Bath

Pedro Estrela
University of Bath

Hannah Leese
University of Bath


University of Bath
Rights Holder


Data collection method:

Cytotoxicity: HMNs and 3D printed parts were tested against human dermal fibroblast cells and breast tumour cells. Samples were exposed to the cells and cell death was recorded over 24 hours. Alternatively, cell growth was recorded over 48 hours. CRP and PCT detection: A spiked solution of relevant concentration was prepared. LFTs were placed within the HMNs. HMNs were placed within PBS. Mechanical properties: HMNs were tested on a DMA up to 10 newtons. Data is proved in the form of excel document. Skin Penetration: HMNs were placed on porcine skin and a known force was applied and the resultant skin pores were optically imaged. Data is in the form of images. Wettability: Square samples were printed and treated with various treatments. The contact angle was taken over time to determine the effect. Raw data and data analysis can been found in the respective files.

Technical details and requirements:

The data is provided in MS Excel format.


Engineering and Physical Sciences Research Council (EPSRC)

Minimally Invasive Molecularly Imprinted Conductive Nanoneedle Sensors


Abbott Diabetes Care

Detect, Tell and Treat: Microneedle based skin patches to detect and treat infection

Publication details

Publication date: 28 April 2023
by: University of Bath

Version: 1


URL for this record:

Related papers and books

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Hannah Leese


Faculty of Engineering & Design
Chemical Engineering
Electronic & Electrical Engineering
Mechanical Engineering

Life Sciences
Pharmacy & Pharmacology

Research Centres & Institutes
Centre for Biosensors, Bioelectronics and Biodevices (C3Bio)