SERS immuno- and apta-assays in biosensing/bio-detection: Performance comparison, clinical applications, challenges

Ilyas, Aisha; Dyussupova, Aigerim; Sultangaziyev, Alisher; Shevchenko, Yuriy; Filchakova, Olena; Bukasov, Rostislav

doi:10.1016/j.talanta.2023.124818

Cited by 14 publications

(6 citation statements)

References 349 publications

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“…Immunoassays are a more well-established method for the detection of biomolecules than aptamer-based assays, and on average, they are also more sensitive. The mean values of LODs calculated in 88 reports of immunoassays and 51 reports of aptamer-based assays were 0.5 pM and 1.7 pM, according to Iliyas et al [21]. The detection of femtomolar concentration of prostate-specific antigen (PSA), a biomarker for prostate cancer, performed by Porter's group about two decades ago, exemplified the very high sensitivity of this method [22].…”

Section: Sers-based Immunoassays Detectionmentioning

confidence: 99%

Immunoassays: Analytical and Clinical Performance, Challenges, and Perspectives of SERS Detection in Comparison with Fluorescent Spectroscopic Detection

Terzapulo,

Kassenova,

Bukasov

2024

IJMS

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Immunoassays (IAs) with fluorescence-based detection are already well-established commercialized biosensing methods, such as enzyme-linked immunosorbent assay (ELISA) and lateral flow immunoassay (LFIA). Immunoassays with surface-enhanced Raman spectroscopy (SERS) detection have received significant attention from the research community for at least two decades, but so far they still lack a wide clinical commercial application. This review, unlike any other review that we have seen, performs a three-dimensional performance comparison of SERS IAs vs. fluorescence IAs. First, we compared the limit of detection (LOD) as a key performance parameter for 30 fluorescence and 30 SERS-based immunoassays reported in the literature. We also compared the clinical performances of a smaller number of available reports for SERS vs. fluorescence immunoassays (FIAs). We found that the median and geometric average LODs are about 1.5–2 orders of magnitude lower for SERS-based immunoassays in comparison to fluorescence-based immunoassays. For instance, the median LOD for SERS IA is 4.3 × 10−13 M, whereas for FIA, it is 1.5 × 10−11 M. However, there is no significant difference in average relative standard deviation (RSD)—both are about 5–6%. The analysis of sensitivity, selectivity, and accuracy reported for a limited number of the published clinical studies with SERS IA and FIA demonstrates an advantage of SERS IA over FIA, at least in terms of the median value for all three of those parameters. We discussed common and specific challenges to the performances of both SERS IA and FIA, while proposing some solutions to mitigate those challenges for both techniques. These challenges include non-specific protein binding, non-specific interactions in the immunoassays, sometimes insufficient reproducibility, relatively long assay times, photobleaching, etc. Overall, this review may be useful for a large number of researchers who would like to use immunoassays, but particularly for those who would like to make improvements and move forward in both SERS-based IAs and fluorescence-based IAs.

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Section: Sers-based Immunoassays Detectionmentioning

confidence: 99%

Immunoassays: Analytical and Clinical Performance, Challenges, and Perspectives of SERS Detection in Comparison with Fluorescent Spectroscopic Detection

Terzapulo,

Kassenova,

Bukasov

2024

IJMS

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“…SERS is a molecular assay that is widely used in the field of bacterial detection due to its sensitivity and rapidity. , The challenge of the stable acquisition of bacterial SERS signals needs to be addressed in order to achieve the generic goal of bacterial classification and detection. Some studies have combined precious metal nanoparticles with bacteria by physical means to obtain SERS signals on the bacterial surface.…”

Section: Introductionmentioning

confidence: 99%

Amoxicillin-Induced Purine Molecules Were Used as Bacterial Markers for SERS Detection and Recognition

Hong,

Meng,

Han

et al. 2024

J. Phys. Chem. C

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The amalgamation of surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) presents a discerning capability to differentiate among a diverse spectrum of bacterial strains. However, addressing the challenge of achieving expeditious and robust bacterial detection remains a prominent focal point. This study delineates a comprehensive bacterial classification and identification methodology grounded in the amoxicillin response, which effectively categorizes bacteria utilizing SERS and ML within a time frame of less than 20 min. The bacterial specimens are subjected to pharmacological stimulation, inducing the release of purine molecules that are integral to metabolic processes. Capitalizing on the preferential entry of these molecules into SERS hot spots over the bacteria themselves facilitates the consistent acquisition of stable SERS signals. Experimental evidence demonstrates that the interaction of S. aureus, E. coli, S. epidermidis, C. albicans, and K. pneumoniae with amoxicillin contributes to an enhancement in the stability and signal intensity of bacterial SERS. Utilizing a random forest (RF) model on pure bacterial samples yields an exemplary classification accuracy of 99%. Furthermore, the application of three distinct models, support vector machine (SVM), RF, and CNN-LSTM-Attention (CLA) in the analysis of clinical samples culminates in final classification accuracies of 92%, 87%, and 96%, respectively. This approach establishes a rapid, straightforward, and stable classification methodology for SERS-based bacterial detection, demonstrating significant potential for clinical diagnostic applications.

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“…1–3 With the advancement of SERS theories, SERS applications have been optimized and broadened. They span a wide range of fields including interfacial chemistry, 4–6 biosensing/bio-detection, 7–10 material characterization, 11,12 and food safety testing. 13–15 The excellent performance of SERS spectroscopy depends strongly on the use of active substrates, which often feature nanoscale structures or consist of nanomaterials.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional hotspot structures constructed from nanoporous gold with a V-cavity and gold nanoparticles for surface-enhanced Raman scattering

Xu,

Wu,

Wei

et al. 2024

Anal. Methods

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SERS immuno- and apta-assays in biosensing/bio-detection: Performance comparison, clinical applications, challenges

Cited by 14 publications

References 349 publications

Immunoassays: Analytical and Clinical Performance, Challenges, and Perspectives of SERS Detection in Comparison with Fluorescent Spectroscopic Detection

Immunoassays: Analytical and Clinical Performance, Challenges, and Perspectives of SERS Detection in Comparison with Fluorescent Spectroscopic Detection

Amoxicillin-Induced Purine Molecules Were Used as Bacterial Markers for SERS Detection and Recognition

Three-dimensional hotspot structures constructed from nanoporous gold with a V-cavity and gold nanoparticles for surface-enhanced Raman scattering

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