Identifying the Molecular Fingerprint of Beta-Lactams via Raman/SERS Spectroscopy Using Unconventional Nanoparticles for Antimicrobial Stewardship DOI Creative Commons
Vinicius Pereira dos Anjos, Caroline Guimarães Pançardes da Silva Marangoni, Rafael Nadas

et al.

Antibiotics, Journal Year: 2024, Volume and Issue: 13(12), P. 1157 - 1157

Published: Dec. 2, 2024

Background/Objectives: Beta-lactam antibiotics, derived from penicillin, are the most used class of antimicrobials for treating bacterial infections. Over years, microorganisms have developed resistance mechanisms capable preventing effect these drugs. This condition has been a significant public health concern 21st century, especially after predictions that antimicrobial could lead to 10 million deaths annually by 2050. The challenge developing new brings with it need ensure efficacy existing ones, hence importance fast and low-cost monitoring techniques. Methods: In this study, we present an alternative based on nanophotonics using Surface-Enhanced Raman Spectroscopy (SERS) mediated nanoparticles detection antimicrobials, emphasis some beta-lactam antibiotics commonly prescribed in cases critically ill patients. It is sensitive accurate technique drug monitoring, allowing rapid specific its molecular signatures. approach crucial address therapeutic treatments. Results: Our experiments demonstrate possibility identifying spectra characteristic vibrations (fingerprints) via SERS. Conclusions: results point strategies drugs optical techniques unconventional nanoparticles.

Language: Английский

SERS immuno- and apta-assays in biosensing/bio-detection: Performance comparison, clinical applications, challenges DOI Creative Commons
Aisha Ilyas, Aigerim Dyussupova, Alisher Sultangaziyev

et al.

Talanta, Journal Year: 2023, Volume and Issue: 265, P. 124818 - 124818

Published: June 18, 2023

Surface Enhanced Raman Spectroscopy is increasingly used as a sensitive bioanalytical tool for detection of variety analytes ranging from viruses and bacteria to cancer biomarkers toxins, etc. This comprehensive review describes principles operation compares the performance immunoassays aptamer assays with scattering (SERS) each other some bioassay methods, including ELISA fluorescence assays. Both immuno- aptamer-based are categorized into assay on solid substrates, magnetic nanoparticles in laminar flow or/and strip The best performing recent examples category described text illustrated figures. average performance, particularly, limit (LOD) those methods reflected 9 tables manuscript LODs calculated compared. We found out that, average, there advantage terms LOD SERS (0. pM median 88 papers) vs (1.7 51 papers). also tabulated analyzed clinical immune assays, where selectivity, specificity, accuracy reported, we summarized examples. reviewed challenges real-life application, non-specific protein binding, nanoparticle aggregation, limited nanotag stability, sometimes, relatively long time results, proposed solutions discussed review. Overall, this may be interesting not only chemist, but medical life science researchers who interested improvement bioanalyte diagnostics.

Language: Английский

Citations

24
Early-stage oral cancer diagnosis by artificial intelligence-based SERS using Ag NWs@ZIF core–shell nanochains DOI
Xin Xie,

Wenrou Yu,

Zhaoxian Chen

et al.

Nanoscale, Journal Year: 2023, Volume and Issue: 15(32), P. 13466 - 13472

Published: Jan. 1, 2023

Surface-enhanced Raman spectroscopy (SERS) has great potential in the early diagnosis of diseases by detecting changes volatile biomarkers exhaled breath, because its high sensitivity, rich chemical molecular fingerprint information, and immunity to humidity. Here, an accurate oral cancer (OC) is demonstrated using artificial intelligence (AI)-based SERS breath plasmonic-metal organic framework (MOF) nanoparticles. These plasmonic-MOF nanoparticles were prepared a zeolitic imidazolate coated on Ag nanowires (Ag NWs@ZIF), which offers enhancement from plasmonic gas enrichment ZIF shells. Then, core-shell nanochains NWs@ZIF with 0.5 mL NWs selected capture gaseous methanethiol, tumor biomarker, exhalation OC patients. The substrate was used collect total 400 spectra simulated healthy people neural network (ANN) model AI algorithm trained these could classify them accuracy 99%. Notably, predicted area under curve (AUC) 0.996 for samples. This work suggests combination analysis as method early-stage cancer.

Language: Английский

Citations

22
Detection of Molecular Vibrations of Shigella Pathogenic Gram-negative Bacterium with Surface Enhanced Raman Spectroscopy (SERS) Biosensors and Investigation of its Antibacterial Activity with Silver Nanoparticles Prepared by the Tollens Method in a Laboratory Environment DOI
Hasan Raheem Khudhur,

Ruaa. S. Al‐Hasnawy,

Akram Rostaminia

et al.

BioNanoScience, Journal Year: 2024, Volume and Issue: 14(3), P. 2750 - 2761

Published: July 18, 2024

Language: Английский

Citations

5
Raman Spectroscopy and Its Application in Fruit Quality Detection DOI Creative Commons
Yong Huang, Haoran Wang,

Huasheng Huang

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(2), P. 195 - 195

Published: Jan. 17, 2025

Raman spectroscopy is a spectral analysis technique based on molecular vibration. It has gained widespread acceptance as practical tool for the non-invasive and rapid characterization or identification of multiple analytes compounds in recent years. In fruit quality detection, employed to detect organic compounds, such pigments, phenols, sugars, well analyze structures specific chemical bonds functional groups, providing valuable insights into disease pesticide residue analysis, origin identification. Consequently, techniques have demonstrated significant potential agri-food across various domains. Notably, frontier experiencing surge machine learning applications enhance resolution resulting spectra. This paper reviews fundamental principles advancements explores data processing that use spectroscopy, with focus its detecting diseases, analyzing residues, identifying origins. Finally, it highlights challenges future prospects offering an effective reference detection.

Language: Английский

Citations

0
Highly sensitive SERS platform using sub-10-nm Ag nanoparticles on GaN distributed Bragg reflector for detecting organic pollutants DOI
Yinong Wang, Zhiguang Xiao, Xiao Feng

et al.

Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 405, P. 135343 - 135343

Published: Jan. 21, 2024

Language: Английский

Citations

3
Fabrication method of colloidal dispersions and substrates for detection of pesticide, veterinary drug, and biomolecule using surfaced-enhanced Raman spectroscopy: a review DOI

Yurim Han,

Paolo Matteini, Byungil Hwang

et al.

Applied Spectroscopy Reviews, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: June 20, 2024

Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention for sensing chemicals and molecules at low concentrations. Localized surface plasmons (LSPs) that occur on metal nanostructures can be used to enhance small signals while maintaining the non-destructivity of spectroscopy. SERS detect consumer chemical products effect human body through ecosystem. In addition, there is demand its use in personal disease-monitoring systems. materials made various forms using nanoparticles (NPs) produce LSPs. Recently, nanotechnology been fabricate with high selectivity target by finely controlling structure. Since structure affects enhancement signals, research into important next-generation sensors. Herein, we first discuss fabrication dispersions substrates plasmonic NPs. Afterward, summarize factor (EF) limit detection (LOD) values prepared via methods.

Language: Английский

Citations

3
SERS Characterization of Filtrate Portions of Typhoid Blood Serum Samples Using 30 kDa Filtration Devices DOI Open Access

Maida Ehsan,

Muhammad Suleman Hassan, Haq Nawaz

et al.

Journal of Raman Spectroscopy, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

ABSTRACT Typhoid fever remains a significant global public health concern and continues to pose serious diagnostic challenges, particularly in the differentiation of different stages infection. In this study, surface‐enhanced Raman spectroscopy (SERS) combined with ultracentrifugation was explored design reliable method for characterization identification typhoid serum filtrate. During analysis samples by SERS, presence high molecular weight fractions (HMWF) occupying greater surface area masks low (LMWF). Therefore, HMWF removed from healthy samples, SERS employed biomolecular filtrate portions containing LMWF less than 30 kDa. Silver nanoparticles, as substrates, were used that enhanced signals biomolecules samples. The results show notable differences spectra two (control group) at 394, 648, 742, 771, 930, 1012, 1218, 1424, 1538 cm −1 . A chemometric tool, principal component (PCA), differentiate early‐ late‐stage each other control group. PCA highlighted spectral between diseased classified them separately proves ability has characterized differentiated effectively well individuals using blood proved offered noninvasive, rapid, cost‐effective disease detection progression study.

Language: Английский

Citations

0
Silver Nanoclusters-Decorated Silicon Nanostructures: Site Specific Active-Spots Confirmed by Surface-Enhanced Raman Scattering DOI
Mohammad Kamal Hossain, Billel Salhi, Anwar Ul‐Hamid

et al.

Surfaces and Interfaces, Journal Year: 2025, Volume and Issue: unknown, P. 106656 - 106656

Published: May 1, 2025

Language: Английский

Citations

0
Recent advancements in Raman instrumentation and capabilities for pharmaceutical and biomedical applications DOI

Nargiza Eshbekova,

A. Sowndarya,

T. Daniel Thangadurai

et al.

Applied Spectroscopy Reviews, Journal Year: 2024, Volume and Issue: 59(6), P. 798 - 849

Published: May 28, 2024

Raman spectroscopy (RS) is a nondestructive analytical method extensively utilized in the field of biomedical, and pharmaceutical applications due to their high sensitivity, noninvasive, selective interaction with biomolecules. This significantly used clinical diagnosis both vitro vivo observe structural morphological changes biological fluids. In this review, we focused on medical importance surface-enhanced (SERS). The review explores RS drug manufacturing process control, quality, discussion, including capabilities cancer treatment, applications. Finally, discussed modern devices future perspectives. Even though summarized studies provide interesting useful information about for biomedical researchers, expect that collaborative approach between academicians scientists from various disciplines healthcare professionals will produce additional fundamental insights into RS-based shortly.

Language: Английский

Citations

2
Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids DOI Creative Commons

Xin‐Ru Wen,

Jia‐Wei Tang, Jie Chen

et al.

mSystems, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth of specific bacteria in vagina. This study aims to develop a novel method for BV detection integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) algorithms. Vaginal fluid samples were classified as positive or negative using BVBlue Test and clinical microscopy, followed SERS spectral acquisition construct data set. Preliminary analysis revealed notable disparities characteristic peak features. Multiple ML models constructed optimized, convolutional neural network (CNN) model achieving highest prediction accuracy at 99%. Gradient-weighted class activation mapping (Grad-CAM) was used highlight important regions images prediction. Moreover, CNN blindly tested on spectra vaginal collected from 40 participants unknown infection status, 90.75% compared results combined microscopy. technique simple, cheap, rapid accurately diagnosing bacterial vaginosis, potentially complementing current diagnostic methods laboratories.

Language: Английский

Citations

2