Dataset for "Thermal resilience of ensilicated lysozyme via calorimetric and in vivo analysis"

This dataset contains a variety of data formats used to characterise the thermal resilience of ensilicated lysozyme. All raw data formats have been converted to *.csv or similar Excel format, which is editable. MATLAB is used to generate all graphs and files have been included in each folder where applicable.

Specifically, data were generated using analytical methods such a differential scanning calorimetry, circular dichroism spectroscopy, enzyme-linked immunosorbent assay (ELISA) and thermogravimetric analysis. Data is sorted based on the figure order described in the article, including supplementary figures. Each folder contains a brief explanation on the contents.

Silica, lysozyme, stability, calorimetry, ensilication, biomaterial, protein, vaccine, thermostability, lyophilisation, biopharmaceuticals

Cite this dataset as:
Doekhie, A., Slade, M., Castaing, R., Edler, K., Koumanov, F., Van Den Elsen, J., Marchbank, K., Sartbaeva, A., 2020. Dataset for "Thermal resilience of ensilicated lysozyme via calorimetric and in vivo analysis". Bath: University of Bath Research Data Archive. Available from:


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application/zip (14MB)
Creative Commons: Attribution 4.0

This archive contains the dataset for the article "Thermal resilience of ensilicated lysozyme via calorimetric and in vivo analysis" Each dataset is organised per figure used in the article. Within each folder there is raw and processed data included with a MatLab datastructure and executable to generate the figure if required.


Aswin Doekhie
University of Bath

Matt Slade
University of Bath

Rémi Castaing
University of Bath

Karen Edler
University of Bath

Kevin Marchbank
Newcastle University

Asel Sartbaeva
University of Bath


Data collection method:

Figure 1 - Field-Emission Scanning Electron Microscopy (FE-SEM) - samples were desiccated overnight before imaging and place on sticky carbon tape and imaged at various resolutions. Chromium was used to spin coat the samples. Figure 2 - Micro Differential Scanning Calorimetry (µDSC) and Thermogravimetric analysis (TGA) coupled with Differential Thermal Analysis (DTA) and Mass Spectrometry (MS) or TGA-DTA-MS - liquid samples were analysed using the µDSC apparatus. Ensilicated and lyophilised material was analysed using TGA-DTA-MS. Measurement output was in weight loss (mg, milligram), heat flow (µDSC, DTA) and ion count (A, ampere). Figure 3 - Enzcheck (trademark) Lysozyme assay kit (ThermoFisher) - samples catalytic activity compared to standard protein with validated activity in units(U)/ml. Substrate conversion measured using UV-vis. Data output in arbitrary format converted to U/ml. Figure 4 - Enzyme Linked Immunosorbent Assay (ELISA) - Serum IgG responses to coated antigen measured by substrate conversion using UV-vis and normalised using reference antibody.

Technical details and requirements:

MATLAB r2015b used for graphical presentation. Excel used for processing data and Calisto software (Setsys) used for exporting DSC/DTA data.


The Annett Trust

Ensilication of tetanus toxin C fragment for the development of thermostable vaccines

Medical Research Council (MRC)

Role of Rab3 in Peripheral Tissue Insulin Resistance

Biotechnology and Biological Sciences Research Council (BBSRC)

Improved Conjugate Vaccines Derived from a Bacterial Immunomodulatory Protein

Protein Thermal stability using amorphous silica

CIC S. aureus Complement Opsonisation Factor (SCOF); a novel pro-vaccine adjuvant

Roger and Sue Whorrod

A novel method of the ensilication of viral particles to make vaccines thermally stable

MChem student project

Publication details

Publication date: 12 August 2020
by: University of Bath

Version: 1


URL for this record:

Related articles

Doekhie, A., Slade, M. N., Cliff, L., Weaver, L., Castaing, R., Paulin, J., Chen, Y.-C., Edler, K. J., Koumanov, F., Marchbank, K. J., van den Elsen, J. M. H. and Sartbaeva, A., 2020. Thermal resilience of ensilicated lysozyme via calorimetric and in vivo analysis. RSC Advances, 10(50), pp.29789-29796. Available from:

Contact information

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

Contact person: Aswin Doekhie


Faculty of Science
Biology & Biochemistry

Faculties and Schools
School for Health (now use Faculty of Humanities & Social Sciences: Dept of Health)