Data · dataset · 2026
TB and SERS
Listed in Teesside University Research Data Repository
The plasma sample for this study was retrieved from our previous study (attached).
Description
In brief, a thousand of participants were recruited from community and hospital networks across eight provinces in northeastern Thailand. Of these, 500 cases were positive to interferon-gamma release assay (IGRA) or IGRA-positive and considered latent tuberculosis cases, while the other 500 individuals were IGRA-negative and served as healthy controls.
The participants included 258 males and 742 females, aged 5 to 99 years. The study was approved by the Khon Kaen University Ethics Committee (Ethics number HE651163). All experiments were performed in accordance with relevant guidelines and regulations.
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Protein was extracted from human plasma by published protocol. Then, the SERS measurements were conducted using a confocal Raman microscopic system (inVia Reflex confocal Raman microscope, Renishaw plc., UK). Each dried protein sample was individually mixed with sterile water to achieve a final concentration of 0.25 g/l.
Subsequently, 2.0 µl of protein sample was carefully placed onto the center of silver-based SERS sensors and allowed to air-dry for 10 min. A Raman spectrum was collected from a central region on each SERS sensor using a 785 nm wavelength laser through a 50× objective lens. Each spectral acquisition was performed with 25 mW laser power and a 10-second exposure time.
For each sample, spectral data were collected from 49 points covering a grid area of 7×7 at 15 µm steps.
Links
Where it is published
- DOI doi.org/10.17632/6twsy2xt3g.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Machine learning · Physics · Social Science
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/6twsy2xt3g.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:chemistry | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:physics | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |