Submitted:
14 July 2026
Posted:
15 July 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Bacterial Strains and Plasmids
2.2. Expression of Recombinant HAdV Hexon Protein (rhHAdV)
2.3. Conjugation of GNPs with Protein G
2.4. Conjugation of QDs with Protein G
2.5. Assembly of LFIA
2.6. Detection of Antibodies Against rhHAdV
2.7. Statistical Analysis
3. Results
3.1. Expression and Purification of rhHAdV
3.2. Immunoreactivity of rhHAdV in ELISA with Human Positive Sera
3.3. Optimization of LFIA Components
3.4. Relative Specificity and Sensitivity of GNP- and QD-Based LFIAs
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AUC | Area under the receiver operating characteristic curve |
| BSA | Bovine serum albumin |
| EDC | N-(3-Dimethylaminopropyl)-N′-ethylcarbodiimide hydrochloride |
| ELISA | Enzyme-linked immunosorbent assay |
| GNP | Gold nanoparticle |
| GNP-G | G-Conjugated gold nanoparticle |
| HAdV | Human adenovirus |
| H-FABP | Human fatty acid-binding protein |
| IPTG | Isopropyl-β-d-1-thiogalactopyranoside |
| LFIA | Lateral flow immunochromatographic assay |
| MES | 2-(N-Morpholino)ethanesulfonic acid buffer |
| NHS | N-Hydroxysulfosuccinimide sodium salt |
| PBS | Phosphate-buffered saline |
| PCR | Polymerase chain reaction |
| rhHAdV | Human adenovirus hexon protein fragment |
| QD | Quantum dot |
| QD-G | Quantum dot–Protein G |
| ROC | Receiver operating characteristic |
| SDS-PAGE | Sodium dodecyl sulfate-polyacrylamide gel electrophoresis |
References
- Chavda, V.P.; Bezbaruah, R.; Valu, D.; Patel, B.; Kumar, A.; Prasad, S.; Kakoti, B.B.; Kaushik, A.; Jesawadawala, M. Adenoviral vector-based vaccine platform for COVID-19: Current status. Vaccines 2023, 11, 432. [Google Scholar] [CrossRef] [PubMed]
- Wettengel, J.M.; Naka, H.; Dissen, G.A.; Torgerson, J.; Pounder, M.; Mueller, S.F.; Mueller, E.; Hagen, P.; Brandt, M.; Protzer, U.; et al. High-throughput screening for the prevalence of neutralizing antibodies against human adenovirus serotype 5. Vaccines 2024, 12, 155. [Google Scholar] [CrossRef] [PubMed]
- Li, J.; Hou, L.; Guo, X.; Jin, P.; Wu, S.; Zhu, J.; Pan, H.; Wang, X.; Song, Z.; Wan, J.; et al. Heterologous AD5-nCOV plus CoronaVac versus homologous CoronaVac vaccination: A randomized phase 4 trial. Nat. Med. 2022, 28, 401–409. [Google Scholar] [CrossRef] [PubMed]
- Baker, A.N.; Hawker-Bond, G.W.; Georgiou, P.G.; Dedola, S.; Field, R.A.; Gibson, M.I. Glycosylated gold nanoparticles in point-of-care diagnostics: From aggregation to lateral flow. Chem. Soc. Rev. 2022, 51, 7238–7259. [Google Scholar] [CrossRef] [PubMed]
- Younes, N.; Yassine, H.M.; Kourentzi, K.; Tang, P.; Litvinov, D.; Willson, R.C.; Abu-Raddad, L.J.; Nasrallah, G.K. A review of rapid food safety testing: Using lateral flow assay platform to detect foodborne pathogens. Crit. Rev. Food Sci. Nutr. 2024, 64, 9910–9932. [Google Scholar] [CrossRef] [PubMed]
- Di Nardo, F.; Chiarello, M.; Cavalera, S.; Baggiani, C.; Anfossi, L. Ten years of lateral flow immunoassay technique applications: Trends, challenges and future perspectives. Sensors 2021, 21, 5185. [Google Scholar] [CrossRef] [PubMed]
- Adenuga, B.M.; Biltes, R.; Villa, C.; Costa, J.; Spychaj, A.; Montowska, M.; Mafra, I. A novel normalized quantitative real-time PCR approach for ensuring roe deer (Capreolus capreolus) meat authenticity in game meat foods. Foods 2024, 13, 3728. [Google Scholar] [CrossRef] [PubMed]
- Natarajan, S.; Jayaraj, J.; Prazeres, D.M.F. A cellulose paper-based fluorescent lateral flow immunoassay for the quantitative detection of cardiac troponin I. Biosensors 2021, 11, 49. [Google Scholar] [CrossRef] [PubMed]
- Bayoumy, S.; de Boer, D.; Kock, H.; Rautanen, C.; Hedberg, P.; Hyytiä, H.; Wittfooth, S.; Pettersson, K. Sensitive and quantitative detection of cardiac troponin I with a point-of-care lateral flow test. Sci. Rep. 2021, 11, 18679. [Google Scholar] [CrossRef] [PubMed]
- Sokolov, P.; Knysh, A.; Kriukova, I.; Samokhvalov, P.; Kistenev, Y.V. Methods for conjugating antibodies with quantum dots. Molecules 2025, 30, 3999. [Google Scholar] [CrossRef] [PubMed]
- Clemente, B.M.; Pineda-Cortel, M.R.; Villaflores, O. Evaluating immunochromatographic test kits for diagnosis of acute human leptospirosis: A systematic review. Heliyon 2022, 8, e11829. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Y.; Wu, G.; Wei, J.; Ding, Y.; Wei, Y.; Liu, Q.; Chen, H. Rapid and sensitive detection of rotavirus by surface-enhanced Raman scattering immunochromatography. Mikrochim. Acta 2021, 188, 3. [Google Scholar] [CrossRef] [PubMed]
- Li, Z.; Wang, A.; Zhou, J.; Chen, Y.; Liu, H.; Liu, Y.; Zhang, Y.; Ding, P.; Zhu, X.; Liang, C.; et al. A universal fluorescent immunochromatography assay based on quantum dot nanoparticles for the rapid detection of specific antibodies against SARS-CoV-2 nucleocapsid protein. Int. J. Mol. Sci. 2022, 23, 6225. [Google Scholar] [CrossRef] [PubMed]
- Ahmad Najib, M.; Selvam, K.; Khalid, M.F.; Ozsoz, M.; Aziah, I. Quantum dot-based lateral flow immunoassay as point-of-care testing for infectious diseases: A narrative review of its principle and performance. Diagnostics 2022, 12, 2158. [Google Scholar] [CrossRef] [PubMed]
- Sotnikov, D.V.; Barshevskaya, L.V.; Zherdev, A.V.; Eskendirova, S.Z.; Mukanov, K.K.; Mukantayev, K.K.; Ramankulov, Y.M.; Dzantiev, B.B. Immunochromatographic system for serodiagnostics of cattle brucellosis using gold nanoparticles and signal amplification with quantum dots. Appl. Sci. 2020, 10, 738. [Google Scholar] [CrossRef]
- Sotnikov, D.V.; Byzova, N.A.; Zherdev, A.V.; Eskendirova, S.Z.; Baltin, K.K.; Mukanov, K.K.; Ramankulov, E.M.; Sadykhov, E.G.; Dzantiev, B.B. Express immunochromatographic detection of antibodies against Brucella abortus in cattle sera based on quantitative photometric registration and modulated cut-off level. J. Immunoass. Immunochem. 2015, 36, 80–90. [Google Scholar] [CrossRef] [PubMed]
- Ren, Q.; Wang, Y.; Ma, H.; Xie, J.; Jin, J.; Tian, R.; Yu, H.; Gao, X.; Chen, N. Recent advances in lateral flow immunoassay for rapid diagnosis of viral diseases. Transbound. Emerg. Dis. 2026, 2026, 5701806. [Google Scholar] [CrossRef] [PubMed]
- Ma, Z.; Guo, J.; Jiang, L.; Zhao, S. Lateral flow immunoassay (LFIA) for dengue diagnosis: Recent progress and prospect. Talanta 2024, 267, 125268. [Google Scholar] [CrossRef] [PubMed]
- Borovikov, S.; Tursunov, K.; Syzdykova, A.; Begenova, A.; Zhakhina, A. Expression of recombinant Omp18 and MOMP of Campylobacter jejuni and the determination of their suitability as antigens for serological diagnosis of campylobacteriosis in animals. Vet. World 2023, 16, 222–228. [Google Scholar] [CrossRef] [PubMed]
- Borovikov, S.; Ryskeldina, A.; Tursunov, K.; Syzdykova, A.; Akibekov, O. Recombinant Salmonella enterica OmpX protein expression and its potential for serologically diagnosing Salmonella abortion in mares. Vet. World 2023, 16, 1790–1795. [Google Scholar] [CrossRef] [PubMed]
- Ukuli, Q.A.; Erima, B.; Mubiru, A.; Birungi, M.; Tushabe, P.; Eliku, J.P.; Aine, F.; Haumba, J.C.; Ssenono, M.; Nakabazzi, L.; et al. Molecular characterisation of human adenoviruses associated with respiratory infections in Uganda. BMC Infect. Dis. 2023, 23, 435–444. [Google Scholar] [CrossRef] [PubMed]
- Xu, D.; Chen, L.; Wu, X.; Ji, L. Molecular typing and epidemiology profiles of human adenovirus infection among hospitalized patients with severe acute respiratory infection in Huzhou, China. PLoS ONE 2022, 17, e0265987. [Google Scholar] [CrossRef] [PubMed]
- Nikolaev, V.V.; Lepekhina, T.B.; Alliluev, A.S.; Bidram, E.; Sokolov, P.M.; Nabiev, I.R.; Kistenev, Y.V. Quantum dot-based nanosensors for in vitro detection of Mycobacterium tuberculosis. Nanomaterials 2024, 14, 1553. [Google Scholar] [CrossRef] [PubMed]





| Parameter | Positive/Negative | Estimate (%) | 95% CI |
| Sensitivity (GNP-G) | 32/33 | 96.9 | 84.7–99.5 |
| Sensitivity (QD-G) | 33/33 | 100 | 89.6–100 |
| Specificity (GNP-G and QD-G) | 56/57 | 98.2 | 90.7–99.7 |
| Diagnostic characteristics | Serum samples and ELISA | LFIA | |||
| GNP-G | QD-G | ||||
| Negative | Positive | Negative | Positive | ||
| ELISA- | 57 | 56 | 1 | 56 | 1 |
| Specificity (%) | 98.2 | 98.2 | |||
| Kappa value | 0.482 | ||||
| 95% CI | 0.132–1.000 | ||||
| ELISA+ | 33 | 1 | 32 | 0 | 33 |
| Sensitivity (%) | 96.9 | 100 | |||
| Kappa value | 0.653 | ||||
| 95% CI | 0.025–1.000 | ||||
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.