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Dataset of serum proteomic spectra from tuberculosis patients detected by Raman spectroscopy and surface-enhanced Raman spectroscopy
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Document Title
Dataset of serum proteomic spectra from tuberculosis patients detected by Raman spectroscopy and surface-enhanced Raman spectroscopy
Author
Kaewseekhao B, Nuntawong N, Eiamchai P, Roytrakul S, Reechaipichitkul W, Faksri K
Name from Authors Collection
Affiliations
Khon Kaen University; Khon Kaen University; Khon Kaen University; National Science & Technology Development Agency - Thailand; National Electronics & Computer Technology Center (NECTEC); National Science & Technology Development Agency - Thailand; National Center Genetic Engineering & Biotechnology (BIOTEC)
Type
Article; Data Paper
Source Title
DATA IN BRIEF
ISSN
2352-3409
Year
2020
Volume
28
Page
-
Open Access
Green Published, gold
Publisher
ELSEVIER
DOI
10.1016/j.dib.2019.104891
Format
Abstract
In this data article, we present Raman spectroscopy (RS) and surface-enhanced Raman spectroscopy (SERS) data obtained using an InVia Reflex confocal Raman microscope (Renishaw; Wottonunder-Edge, UK) and processed using WiRE (TM) 4.2 software. The data include RS and SERS spectra detected, after removal of albumin, from the serum proteome of tuberculosis (TB) patient categories and controls (active tuberculosis; ATB, latent tuberculosis; LTBI, TB-exposed persons with undetected infection; EC, healthy controls; HC) using 532 nm and 785 nm laser wavelengths for RS and 785 nm for SERS. The RS and SERS data had high reproducibility (SERS; R-2 = 0.988, RS at 785 nm; R-2 = 0.972, RS at 532 nm; R-2 = 0.9150). This data can be used for analysis of proteomic spectra based on RS and SERS for TB diagnosis and can also be compared to other populations. The spectral dataset based on normal, healthy control groups might be used as the control data for analysis of other diseases using RS and SERS approaches. (C) 2019 The Author(s). Published by Elsevier Inc.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Funding Sponsor
Invitation Research 2018, Faculty of Medicine [IN61210]; Graduate Studies, Khon Kaen University [581H223]
License
CC-BY
Rights
Authors
Publication Source
WOS