Back

Serotype-Specific Detection of Non-Structural Protein 1 from Dengue Viruses by Surface-Enhanced Raman Spectroscopy: An Enhanced Precision Diagnosis

Ghalawat, M.; Meena, V. K.; Basu, A.; Poddar, P.

2026-06-13 microbiology
10.64898/2026.06.13.731912 bioRxiv
Show abstract

Dengue disease exhibits diverse clinical manifestations in patients when infected by its different serotypes. Early and accurate detection of dengue virus (DENV) infections, particularly distinguishing between serotypes is crucial for effective patient management and sporadic outbreak control. Surface-Enhanced Raman Spectroscopy (SERS) offers advantages of high sensitivity, rapid acquisition, rapid analysis, minimal sample and preparation requirements. In this study, we present a simple and reproducible approach for serotype-specific detection of non-structural protein 1 (NS1) utilizing SERS on an aluminium based substrate. Leveraging specific vibrational signatures of NS1 protein from DENV serotypes, we demonstrated the potential of SERS to discriminate between NS1 proteins across DENV serotypes and also the amino acid residue variations that exist among them from different biological samples. Study demonstrates the SERS based detection of NS1 in the current in-vitro setting has sensitivity and specificity comparable to ELISA assays with limit of detection (LOD) reaching to 1ng/mL. However, the application of nanomaterials-based SERS substrate has potential to further enhance the LOD enabling detection even at lower concentrations. This approach holds promise for advancing our capacity to rapidly diagnose serotypic DENV infection in samples, studying pathogenesis and improving strategies for disease management and control.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3612 papers in training set
Top 0.6%
19.1%
2
PLOS ONE
5266 papers in training set
Top 23%
7.5%
3
Talanta
14 papers in training set
Top 0.1%
6.5%
4
Analytical Chemistry
218 papers in training set
Top 0.6%
5.7%
5
Biosensors and Bioelectronics
57 papers in training set
Top 0.2%
5.0%
6
ACS Omega
105 papers in training set
Top 0.3%
4.5%
7
Frontiers in Microbiology
427 papers in training set
Top 4%
2.5%
50% of probability mass above
8
ACS Applied Bio Materials
24 papers in training set
Top 0.3%
2.2%
9
Nano Letters
71 papers in training set
Top 0.6%
2.2%
10
Langmuir
36 papers in training set
Top 0.3%
2.2%
11
The Analyst
16 papers in training set
Top 0.2%
1.8%
12
Analytical and Bioanalytical Chemistry
18 papers in training set
Top 0.2%
1.5%
13
Journal of Virological Methods
37 papers in training set
Top 0.3%
1.5%
14
Nature Communications
5641 papers in training set
Top 48%
1.4%
15
mSphere
302 papers in training set
Top 5%
1.2%
16
ACS Sensors
49 papers in training set
Top 0.6%
1.1%
17
BMC Microbiology
49 papers in training set
Top 1%
1.1%
18
Applied and Environmental Microbiology
339 papers in training set
Top 4%
1.1%
19
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.8%
1.1%
20
Chemical Communications
25 papers in training set
Top 0.4%
1.1%
21
Journal of Colloid and Interface Science
12 papers in training set
Top 0.2%
1.0%
22
Biophysical Journal
631 papers in training set
Top 4%
0.9%
23
Analytica Chimica Acta
17 papers in training set
Top 0.4%
0.9%
24
Biomedical Optics Express
95 papers in training set
Top 1.0%
0.9%
25
Biochemistry and Biophysics Reports
30 papers in training set
Top 1%
0.9%
26
Colloids and Surfaces B: Biointerfaces
10 papers in training set
Top 0.2%
0.9%
27
RSC Advances
22 papers in training set
Top 0.8%
0.9%
28
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 43%
0.6%
29
Open Biology
106 papers in training set
Top 2%
0.6%
30
Biochimica et Biophysica Acta (BBA) - Biomembranes
36 papers in training set
Top 0.4%
0.6%