journal article·2026-06

A spectrotemporal drift-corrected gold nanorod LSPR microfluidic biosensing framework for machine learning–based early sepsis transition detection

Faris A. Almalki, Kholod D. Alsufiani

Applied Physics A· Volume 132· Issue 6
Publisher page

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

OpenAlex topics: Biosensors and Analytical Detection · Microfluidic and Bio-sensing Technologies · Spectroscopy Techniques in Biomedical and Chemical Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (38)

Show source-provided references
1. W.H. Kim, S. Lee, M.J. Jeon, K.J. Lee, J.H. Park, D.W. Park, S. Park, S.J. Sim, Rapid and differential diagnosis of sepsis stages using an advanced 3D plasmonic bimetallic alloy nanoarchitecture-based SERS biosensor combined with machine learning for multiple analyte identification. Adv. Sci. (Weinh.) 12(14), e2414688 (2025). https://doi.org/10.1002/advs.20241468810.1002/advs.202414688 ↗
2. Z. Liu, Y. Zhou, J. Lu, T. Gong, E. Ibáñez, A. Cifuentes, W. Lu, Microfluidic biosensors for biomarker detection in body fluids: a key approach for early cancer diagnosis. Biomark. Res. 12(1), 153 (2024). https://doi.org/10.1186/s40364-024-00697-410.1186/s40364-024-00697-4 ↗
3. K. Su, J. Li, H. Liu, Y. Zou, Future electrodes for sepsis detection: digital microfluidic biosensors from plant waste. Microfluid. Nanofluid. 28, 76 (2024). https://doi.org/10.1007/s10404-024-02771-710.1007/s10404-024-02771-7 ↗
4. Y. Zheng, Q. Huang, X. Li, Y. Chen, Rapid electrochemical sensing of cancer biomarkers using functionalized graphene nanocomposites. Anal. Chim. Acta 1255, 343094 (2024). https://doi.org/10.1016/j.aca.2024.34309410.1016/j.aca.2024.343094 ↗
5. X. Lin, Y. Luo, D. Li, Y. Li, T. Gong, C. Zhao, C. Wang, R. Duan, W. Yue, Recent advances in localized surface plasmon resonance (LSPR) sensing technologies. Nanotechnology (2025). https://doi.org/10.1088/1361-6528/adb6a410.1088/1361-6528/adb6a4 ↗
6. M.S. Sheela, A. Ponraj, S. Kumarganesh, B. Thiyaneswaran, P. Rishabavarthani, I. Rajesh, B.K. Pandey, D. Pandey, M.E. Lelisho, Enhanced plasmonic biosensors with machine learning for ultra-sensitive detection. Discovery Nano 21(1), 1 (2026). https://doi.org/10.1186/s11671-025-04422-410.1186/s11671-025-04422-4 ↗
7. J. Liang, W. Zhang, Y. Qin, Y. Li, G.L. Liu, W. Hu, Applying machine learning with localized surface plasmon resonance sensors to detect SARS-CoV-2 particles. Biosensors (Basel) 12(3), 173 (2022). https://doi.org/10.3390/bios1203017310.3390/bios12030173 ↗
8. X. Hao, J.P. St-Pierre, S. Zou, X. Cao, Localized surface plasmon resonance biosensor chip surface modification and signal amplifications toward rapid and sensitive detection of COVID-19 infections. Biosens. Bioelectron. 236, 115421 (2023). https://doi.org/10.1016/j.bios.2023.11542110.1016/j.bios.2023.115421 ↗
9. Z. Xu, Y. Li, C. Yang, X. Li, Y. Liu, Y. Wang, Highly sensitive localized surface plasmon resonance biosensing with engineered gold nanostructures. Langmuir 40(12), 4500–4512 (2024). https://doi.org/10.1021/acs.langmuir.4c0037410.1021/acs.langmuir.4c00374 ↗
10. S. Hosseinniay, A.H. Rezayan, F. Ghasemi, M. Malekmohamadi, R.A. Taheri, M. Hosseini, H. Alvandi, Fabrication and evaluation of optical nanobiosensor based on localized surface plasmon resonance (LSPR) of gold nanorod for detection of CRP. Anal. Chim. Acta 1237, 340580 (2023). https://doi.org/10.1016/j.aca.2022.34058010.1016/j.aca.2022.340580 ↗
11. V. Pellas, D. Hu, Y. Mazouzi, Y. Mimoun, J. Blanchard, C. Guibert, M. Salmain, S. Boujday, Gold nanorods for LSPR biosensing: synthesis, coating by silica, and bioanalytical applications. Biosensors 10(10), 146 (2020). https://doi.org/10.3390/bios1010014610.3390/bios10100146 ↗
12. T. Staniszewska, M. Szkulmowski, S. Morawiec, Computational optimization of the size of gold nanorods for single molecule plasmonic biosensors operating in scattering and absorption modes. J. Phys. Chem. C 125(27), 14765–14777 (2021). https://doi.org/10.1021/acs.jpcc.1c0251010.1021/acs.jpcc.1c02510 ↗
13. L.P.F. Peixoto et al., Surface-enhanced fluorescence immuno-biosensor based on gold nanorods for rapid detection of albumin antibody. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 284, 121753 (2023). https://doi.org/10.1016/j.saa.2022.12175310.1016/j.saa.2022.121753 ↗
14. E. Ferrari, Gold nanoparticle based plasmonic biosensors. Biosensors 13(3), 411 (2023). https://doi.org/10.3390/bios1303041110.3390/bios13030411 ↗
15. S. Hosseinniay, A.H. Rezayan, F. Ghasemi, M. Malekmohamadi, R.A. Taheri, M. Hosseini, H. Alvandi, Fabrication and evaluation of optical nanobiosensor based on LSPR of gold nanorod for detection of CRP. Anal. Chim. Acta 1237, 340580 (2023). https://doi.org/10.1016/j.aca.2022.34058010.1016/j.aca.2022.340580 ↗
16. Z. Zhao, Q. Li, Y. Dong, J. Gong, Z. Li, J. Zhang, Core shell structured gold nanorods on thread embroidered fabric based microfluidic device for ex situ detection of glucose and lactate in sweat. Sens. Actuators B Chem. 353, 131154 (2022). https://doi.org/10.1016/j.snb.2021.13115410.1016/j.snb.2021.131154 ↗
17. W.D. Chan, M. Wang, L. Kong, C.-M.L. Wu, Label-free detection of formaldehyde in water by titanium doped MoS2 gold nanoislands LSPR sensor. Appl. Surf. Sci. 682, 161637 (2025). https://doi.org/10.1016/j.apsusc.2024.16163710.1016/j.apsusc.2024.161637 ↗
18. F. Namjoo, F. Shalileh, M. Golbashy, H. Sabahi, M. Hosseini, Gold nanorod etching for sensitive aptamer mediated colorimetric detection of Escherichia coli in water. Microchem. J. 112368, (2024). https://doi.org/10.1016/j.microc.2024.11236810.1016/j.microc.2024.112368 ↗
19. G. Mushtaq, V.V.R. Sai, S. Bandyopadhyay, Chemisorbed gold nanorods on optical fibers for refractive index sensing. Sens. Bio Sens. Res. 50, 100869 (2025). https://doi.org/10.1016/j.sbsr.2025.10086910.1016/j.sbsr.2025.100869 ↗
20. N. Bhalla, P.K. Sharma, S. Chakrabarti, Elucidating sensitivity and stability relationship of gold-carbon hybrid LSPR sensors using principal component analysis. ACS Omega 7(31), 27664–27673 (2022). https://doi.org/10.1021/acsomega.2c0332610.1021/acsomega.2c03326 ↗
21. A. Rabbani, R. Rudacille, K. Hasegawa, Local refractive index sensitivity of localized surface plasmon resonance biosensors. J. Phys. Chem. C 128(45), 19210–19221 (2024). https://doi.org/10.1021/acs.jpcc.4c0345610.1021/acs.jpcc.4c03456 ↗
22. J. Xue, Y. Li, J. Liu, Z. Zhang, R. Yu, Y. Huang, C. Li, A. Chen, J. Qiu, Highly sensitive electrochemical aptasensor for SARS CoV 2 antigen detection based on aptamer binding induced multiple hairpin assembly signal amplification. Talanta 248, 123605 (2022). https://doi.org/10.1016/j.talanta.2022.12360510.1016/j.talanta.2022.123605 ↗
23. P. Vizzini, M. Manzano, C. Farre, T. Meylheuc, C. Chaix, N. Ramarao, J. Vidic, Highly sensitive detection of Campylobacter spp. in chicken meat using a silica nanoparticle enhanced dot blot DNA biosensor. Biosens. Bioelectron. 171, 112689 (2021). https://doi.org/10.1016/j.bios.2020.11268910.1016/j.bios.2020.112689 ↗
24. J.H. Park, S. Kwon, M.J. Kim, Z. Song, H.E. Bae, M.J. Kang, J.C. Pyun, Dual mode capacitive and localized surface plasmon resonance biosensor based on high density Au nanoislands. Biosens. Bioelectron. 277, 117274 (2025). https://doi.org/10.1016/j.bios.2025.11727410.1016/j.bios.2025.117274 ↗
25. S. Qiu, Y. Dong, X. Yu, Q. Ai, L. Yuan, L. Zhang, D. Zhang, Highly selective localized surface plasmon resonance sensor for selenium diagnosis in selenium-rich soybeans. J. Hazard. Mater. 478, 135632 (2024). https://doi.org/10.1016/j.jhazmat.2024.13563210.1016/j.jhazmat.2024.135632 ↗
26. B. Liu, H. Du, J. Zhang, J. Jiang, X. Zhang, F. He, B. Niu, Developing a new sepsis screening tool based on lymphocyte count, international normalized ratio and procalcitonin (LIP score). Sci. Rep. 12(1), 20002 (2022). https://doi.org/10.1038/s41598-022-16744-910.1038/s41598-022-16744-9 ↗
27. Z. Ye, Y. Zhang, Y. Liang, J. Lang, X. Zhang, G. Zang, D. Yuan, G. Tian, M. Xiao, J. Yang, Cervical cancer metastasis and recurrence risk prediction based on deep convolutional neural network. Curr. Bioinform. 17, 164–173 (2022). https://doi.org/10.2174/157489361666621070814355610.2174/1574893616666210708143556 ↗
28. L. Wang, Q. Yu, J. Xiao, Q. Chen, M. Fang, H. Zhao, Cigarette smoke extract-treated mouse airway epithelial cells-derived exosomal lncRNA MEG3 promotes M1 macrophage polarization and pyroptosis in chronic obstructive pulmonary disease by upregulating TREM-1 via m6A methylation. Immune Netw. 24(2), e3 (2024). https://doi.org/10.4110/in.2024.24.e310.4110/in.2024.24.e3 ↗
29. H.H. Zhuang, Q. Qu, W.M. Long, Q. Hu, X.L. Wu, Y. Chen, Q. Wan, T.T. Xu, Y. Luo, H.Y. Yuan, Q. Lu, J. Qu, Ceftazidime/avibactam versus polymyxin B in carbapenem-resistant Klebsiella pneumoniae infections: a propensity score-matched multicenter real-world study. Infection 53(1), 95–106 (2025). https://doi.org/10.1007/s15010-024-02324-810.1007/s15010-024-02324-8 ↗
30. J. Wang, J. Luo, D. Rotili, A. Mai, C. Steegborn, S. Xu, Z.G. Jin, SIRT6 protects against lipopolysaccharide-induced inflammation in human pulmonary lung microvascular endothelial cells. Inflammation 47(1), 323–332 (2024). https://doi.org/10.1007/s10753-023-01911-510.1007/s10753-023-01911-5 ↗
31. J. Li, H.G. He, C. Guan, Y. Ding, X. Hu, Dynamic joint prediction model of severe radiation-induced oral mucositis among nasopharyngeal carcinoma: a prospective longitudinal study. Radiother. Oncol. 209, 110993 (2025). https://doi.org/10.1016/j.radonc.2025.11099310.1016/j.radonc.2025.110993 ↗
32. B. Du, X. Tian, Z. Chen, Y. Ge, C. Chen, H. Gao, Z. Liu, J. Tung, D. Fixler, S. Wei, S. Chen, H. Zhang, Ultrasensitive optoelectronic biosensor arrays based on twisted bilayer graphene superlattice. Natl. Sci. Rev. 12(10), nwaf357 (2025). https://doi.org/10.1093/nsr/nwaf35710.1093/nsr/nwaf357 ↗
33. Z. Chen, J. Li, T. Li, T. Fan, C. Meng, C. Li, J. Kang, L. Chai, Y. Hao, Y. Tang, O.A. Al-Hartomy, S. Wageh, A.G. Al-Sehemi, Z. Luo, J. Yu, Y. Shao, D. Li, S. Feng, W.J. Liu, Y. He, X. Ma, Z. Xie, H. Zhang, A CRISPR/Cas12a-empowered surface plasmon resonance platform for rapid and specific diagnosis of the Omicron variant of SARS-CoV-2. Natl. Sci. Rev. 9(8), nwac104 (2022). https://doi.org/10.1093/nsr/nwac10410.1093/nsr/nwac104 ↗
34. Z. Zhao, X. Li, B. Luan, W. Jiang, W. Gao, S. Neelakandan, Secure internet of things (IoT) using a novel Brooks Iyengar quantum Byzantine Agreement-centered blockchain Networking (BIQBA-BCN) model in smart healthcare. Inf. Sci. 629, 440–455 (2023). https://doi.org/10.1016/j.ins.2023.01.02010.1016/j.ins.2023.01.020 ↗
35. Y. Qian, L. Su, M. Xu, L. Tang, Enhanced protein secondary structure prediction through multi-view multi-feature evolutionary deep fusion method. IEEE Trans. Emerg. Top. Comput. Intell. 9(5), 3352–3363 (2025). https://doi.org/10.1109/TETCI.2024.352377210.1109/TETCI.2024.3523772 ↗
36. K. Wang, J. Yin, J. Chen, J. Ma, H. Si, D. Xia, Inhibition of inflammation by berberine: molecular mechanism and network pharmacology analysis. Phytomedicine 128, 155258 (2024). https://doi.org/10.1016/j.phymed.2023.15525810.1016/j.phymed.2023.155258 ↗
37. W. Wang, C. Liu, J. Luo, L. Lei, M. Chen, Y. Zhang, W.-Z. Wang, J.-Q. Luo, L.-J. Lei, M.-H. Chen, Y.-Y. Zhang, R. Sheng, Y.-N. Li, Li. Wang, X.-H. Jiang, T.-M. Xiao, Y.-H. Zhang, S.-W. Li, Y.-X. Wu, Y. Xu, Y.-n Xu, S.-y Si, S. Si, A novel small-molecule PCSK9 inhibitor E28362 ameliorates hyperlipidemia and atherosclerosis. Acta Pharmacol. Sin. 45(10), 2119–2133 (2024). https://doi.org/10.1038/s41401-024-01305-910.1038/s41401-024-01305-9 ↗
38. X. Chen, C. Chen, X. Tian, L. He, E. Zuo, P. Liu, Y. Xue, J. Yang, C. Chen, X. Lv, DBAN: an improved dual branch attention network combined with serum Raman spectroscopy for diagnosis of diabetic kidney disease. Talanta 266(Pt 2), 125052 (2024). https://doi.org/10.1016/j.talanta.2023.12505210.1016/j.talanta.2023.125052 ↗