Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics

Nanoscale Advances, Journal Year: 2022, Volume and Issue: 5(3), P. 538 - 570

Published: Nov. 7, 2022

This review summarizes the integration of machine learning with surface-enhanced Raman scattering and infrared absorption in terms concepts, processes, applications, provides an outlook on future development this technology.

Language: Английский

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Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends

Analytical and Bioanalytical Chemistry, Journal Year: 2023, Volume and Issue: 415(18), P. 3945 - 3966

Published: March 3, 2023

Language: Английский

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SERS‐Based Biosensors Combined with Machine Learning for Medical Application**

ChemistryOpen, Journal Year: 2023, Volume and Issue: 12(1)

Published: Jan. 1, 2023

Surface-enhanced Raman spectroscopy (SERS) has shown strength in non-invasive, rapid, trace analysis and been used many fields medicine. Machine learning (ML) is an algorithm that can imitate human styles structure existing content with the knowledge to effectively improve efficiency. Integrating SERS ML have a promising future medical field. In this review, we summarize applications of combined recent years, such as recognition biological molecules, rapid diagnosis diseases, developing new immunoassay techniques, enhancing capabilities semi-quantitative measurements. Ultimately, possible opportunities challenges combining are addressed.

Language: Английский

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A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

Biosensors, Journal Year: 2022, Volume and Issue: 12(9), P. 710 - 710

Published: Sept. 1, 2022

The ability to interpret information through automatic sensors is one of the most important pillars modern technology. In particular, potential biosensors has been used evaluate biological living organisms, and detect danger or predict urgent situations in a battlefield, as invasion SARS-CoV-2 this era. This work devoted describing panoramic overview optical that can be improved by assistance nonlinear optics machine learning methods. Optical have demonstrated their effectiveness detecting diverse range viruses. Specifically, virus generated disturbance all over world, emerged key for providing an analysis based on physical chemical phenomena. perspective, we highlight how multiphoton interactions responsible enhancement sensibility exhibited biosensors. effects open up series options expand applications Nonlinearities together with computer tools are suitable identification complex low-dimensional agents. Machine methods approximate functions reveal patterns detection dynamic objects human body determine viruses, harmful entities, strange kinetics cells.

Language: Английский

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Sensitive and reproducible detection of SARS-CoV-2 using SERS-based microdroplet sensor

Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 446, P. 137085 - 137085

Published: May 20, 2022

Language: Английский

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Multiplexed discrimination of SARS-CoV-2 variants via plasmonic-enhanced fluorescence in a portable and automated device

Nature Biomedical Engineering, Journal Year: 2023, Volume and Issue: 7(12), P. 1636 - 1648

Published: Sept. 21, 2023

Language: Английский

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Context-Responsive Nanoparticle Derived from Synthetic Zwitterionic Ionizable Phospholipids in Targeted CRISPR/Cas9 Therapy for Basal-like Breast Cancer

ACS Nano, Journal Year: 2024, Volume and Issue: 18(12), P. 9199 - 9220

Published: March 11, 2024

The majority of triple negative breast cancers (TNBCs) are basal-like (BLBCs), which tend to be more aggressive, proliferate rapidly, and have poor clinical outcomes. A key prognostic biomarker regulator BLBC is the Forkhead box C1 (FOXC1) transcription factor. However, because its functional placement inside cell nucleus structural similarity with other related proteins, targeting FOXC1 for therapeutic benefit, particularly BLBC, continues difficult. We envision targeted nonviral delivery CRISPR/Cas9 plasmid toward efficacious knockdown FOXC1. Keeping in mind challenges associated use vivo, including off-targeting modifications, effective release cargo, a nanoparticle context responsive properties can designed efficient plasmid. Consequently, we designed, synthesized, characterized zwitterionic amino phospholipid-derived transfecting CRISPR/Cas9. construct becomes positively charged only at low pH, encourages membrane instability makes it easier nanoparticles exit endosomes. This has enabled vitro vivo downregulation protein expression genome editing. Following this, used EpCAM aptamer make system lines reduce off-target toxicity. efficacy, biodistribution, preliminary pharmacokinetics, biosafety optimized CRISPR nanoplatform then validated rodent xenograft model. Overall, attempted knockout proto-oncogenic cases by effectors via context-responsive derived from designer lipid derivative. believe that approach FOXC1, studied herein, will greatly emphasize regimen BLBC.

Language: Английский

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Rapid Detection of SARS-CoV-2 RNA in Human Nasopharyngeal Specimens Using Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms

ACS Sensors, Journal Year: 2022, Volume and Issue: 8(1), P. 297 - 307

Published: Dec. 23, 2022

A rapid and cost-effective method to detect the infection of SARS-CoV-2 is fundamental mitigating current COVID-19 pandemic. Herein, a surface-enhanced Raman spectroscopy (SERS) sensor with deep learning algorithm has been developed for detection RNA in human nasopharyngeal swab (HNS) specimens. The SERS was prepared using silver nanorod array (AgNR) substrate by assembling DNA probes capture RNA. spectra HNS specimens were collected after hybridization, corresponding peaks identified. range determined be 103-109 copies/mL saline sodium citrate buffer. recurrent neural network (RNN)-based model classify 40 positive 120 negative an overall accuracy 98.9%. For blind test 72 specimens, RNN gave 97.2% prediction 100% All detections performed 25 min. These results suggest that DNA-functionalized AgNR combined could serve as potential point-of-care diagnostic platform.

Language: Английский

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Diagnostic Approaches For COVID-19: Lessons Learned and the Path Forward

ACS Nano, Journal Year: 2022, Volume and Issue: 16(8), P. 11545 - 11576

Published: Aug. 3, 2022

Coronavirus disease 2019 (COVID-19) is a transmitted respiratory caused by the infection of severe acute syndrome coronavirus 2 (SARS-CoV-2). Although humankind has experienced several outbreaks infectious diseases, COVID-19 pandemic highest rate and had high levels social economic repercussions. The current highlighted limitations existing virological tests, which have failed to be adopted at properly slow rapid spread SARS-CoV-2. Pandemic preparedness developed as focus many governments around world in event future outbreak. Despite largely widespread availability vaccines, importance testing not diminished monitor evolution virus resulting stages pandemic. Therefore, developing diagnostic technology that serves line defense become imperative. In particular, test should satisfy three criteria widely adopted: simplicity, feasibility, accessibility. At heart it all, must enable early diagnosis course reduce spread. However, manufacturers need guidance on optimal characteristics ensure aid effective treatment viral infections. Nanomaterials are decisive element kits well key contributor enhance performance tests. Our objective develop profile available platform target product. this work, detection tests were evaluated from perspective pandemic, then we generalized requirements product for detection.

Language: Английский

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Nucleotide‐Driven Molecular Sensing of Monkeypox Virus Through Hierarchical Self‐Assembly of 2D Hafnium Disulfide Nanoplatelets and Gold Nanospheres

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(19)

Published: Feb. 17, 2023

Abstract Liquid interfaces facilitate the organization of nanometer‐scale biomaterials with plasmonic properties suitable for molecular diagnostics. Using hierarchical assemblage 2D hafnium disulfide nanoplatelets and zero‐dimensional spherical gold nanoparticles, design a multifunctional material is reported. When target analyte present, nanocomposites’ self‐assembling pattern changes, altering their response. monkeypox virus (MPXV) as an example, findings reveal that adding genomic DNA to nanocomposite surface increases agglomeration between nanoparticles decreases π‐stacking distance nanoplatelets. Further, this self‐assembled nanomaterial found have minimal cross‐reactivity toward other pathogens limit detection 7.6 pg µL −1 (i.e., 3.57 × 10 4 copies ) MPXV. Overall, study helped gain better understanding MPXV chemically develop targeted nucleotides. The has been validated by UV–vis spectroscopy, X‐ray diffraction, scanning transmission electron microscopy, surface‐enhanced Raman microscopy electromagnetic simulation studies. To best knowledge, first in literature reporting selective within few minutes without use any high‐end instrumental techniques like polymerase chain reactions.

Language: Английский

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