Label-Free Surface-Enhanced Raman Spectroscopy with Machine Learning for the Diagnosis of Thyroid Cancer by Using Fine-Needle Aspiration Liquid Samples DOI Creative Commons

Lili Gao,

Siyi Wu,

Puwasit Wongwasuratthakul

и другие.

Biosensors, Год журнала: 2024, Номер 14(8), С. 372 - 372

Опубликована: Июль 31, 2024

The incidence of thyroid cancer is increasing worldwide. Fine-needle aspiration (FNA) cytology widely applied with the use extracted biological cell samples, but current FNA labor-intensive, time-consuming, and can lead to risk false-negative results. Surface-enhanced Raman spectroscopy (SERS) combined machine learning algorithms holds promise for diagnosis. In this study, we develop a label-free SERS liquid biopsy method rapid accurate diagnosis by using washout fluids. These supernatants are mixed silver nanoparticle colloids, dispersed in quartz capillary measurements discriminate between healthy malignant samples. We collect spectra 36 samples (18 18 benign) compare four classification models: Principal Component Analysis-Linear Discriminant Analysis (PCA-LDA), Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN). results show that CNN algorithm most precise, high accuracy 88.1%, sensitivity 87.8%, area under receiver operating characteristic curve 0.953. Our approach simple, convenient, cost-effective. This study indicates assisted deep models great early detection screening cancer.

Язык: Английский

Recent advances of Au@Ag core–shell SERS‐based biosensors DOI Creative Commons

Gul Awiaz,

Jie Lin, Aiguo Wu

и другие.

Exploration, Год журнала: 2023, Номер 3(1)

Опубликована: Фев. 1, 2023

The methodological advancements in surface-enhanced Raman scattering (SERS) technique with nanoscale materials based on noble metals, Au, Ag, and their bimetallic alloy Au-Ag, has enabled the highly efficient sensing of chemical biological molecules at very low concentration values. By employing innovative various type Ag nanoparticles especially, high efficiency Au@Ag nanomaterials as substrate SERS biosensors have revolutionized detection components including; proteins, antigens antibodies complex, circulating tumor cells, DNA, RNA (miRNA), etc. This review is about SERS-based Au/Ag enhanced activity by focusing different factors related to them. emphasis this research describe recent developments field conceptual behind Furthermore, article we apex understanding impact variation basic features like effects size, shape varying lengths, thickness core-shell influence large-scale magnitude morphology. Moreover, detailed information applications these importantly receptor binding domain (RBD) protein COVID-19 provided.

Язык: Английский

Процитировано

92

Machine learning assisted dual-modal SERS detection for circulating tumor cells DOI
C.Y. Zhang, Lei Xu,

Xinyu Miao

и другие.

Biosensors and Bioelectronics, Год журнала: 2024, Номер 268, С. 116897 - 116897

Опубликована: Окт. 30, 2024

Язык: Английский

Процитировано

20

Advances in multiplexed photoelectrochemical sensors for multiple components DOI Creative Commons
Lei Ding, Zhaoxiang Zhong, Chaohao Chen

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 159319 - 159319

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

4

Highly Sensitive Detection and Molecular Subtyping of Breast Cancer Cells Using Machine Learning-assisted SERS Technology DOI Creative Commons

Xinyu Miao,

Lei Xu, Li Xian Sun

и другие.

Nano Biomedicine and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

4

Plasmonic Nanoparticles: Enhancing Early Breast Cancer Detection Through Biosensors DOI

Mohamed J. Saadh,

Tamara Nazar Saeed,

Karar H. Alfarttoosi

и другие.

Plasmonics, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

3

Signal Amplification Strategy Design in Nanozyme‐Based Biosensors for Highly Sensitive Detection of Trace Biomarkers DOI
Mengting Wang, Hongxing Liu, Kelong Fan

и другие.

Small Methods, Год журнала: 2023, Номер 7(11)

Опубликована: Окт. 10, 2023

Abstract Nanozymes show great promise in enhancing disease biomarker sensing by leveraging their physicochemical properties and enzymatic activities. These qualities facilitate signal amplification matrix effects reduction, thus boosting performance. In this review, recent studies from the last five years, concentrating on detection improvement through nanozyme‐based biosensing are examined. This enhancement primarily involves modulations of size, morphology, doping, modification, electromagnetic mechanisms, electron conduction efficiency, surface plasmon resonance nanozymes for increased sensitivity. addition, a comprehensive description synthesis tuning strategies employed has been provided. includes detailed elucidation catalytic mechanisms alignment with fundamental principles enhanced technology, accompanied presentation quantitatively analyzed results. Moreover, diverse applications strip sensing, colorimetric electrochemical surface‐enhanced Raman scattering have outlined. Additionally, limitations, challenges, corresponding recommendations concerning application summarized. Furthermore, insights offered into future development outlook biosensing. review aims to serve not only as reference sensitivity biosensors but also catalyst exploring nanozyme broader

Язык: Английский

Процитировано

38

The role of DNA-based biosensors in species identification for food authenticity assessment DOI Creative Commons
Sara Barrias, Javier Ibáñez, José R. Fernandes

и другие.

Trends in Food Science & Technology, Год журнала: 2024, Номер 145, С. 104350 - 104350

Опубликована: Янв. 24, 2024

The increasing incidence of fraud demands for new robust methods to assess food authenticity. Over the past decades, biosensors have emerged as practical testing devices with exponential growth in diverse research fields. Their numerous advantages contributed their implementation sector, applications ranging from identification pathogens, chemical compounds and allergens spoilage detection Genetically Modified Organisms (GMO) various products. This review explores development DNA-based authenticity assessment a focus on species identification. role versatility nucleic acids analytes biorecognition elements are discussed, available conventional presented. main transducing principles involved biosensing, use nanomaterials briefly introduced. application over last decade is shown, highlighting innovations how these improvement performance. final section addresses different technologies can influence biosensor manufacturing optimization, so become established rapid on-site used In little has been carried out regarding biosensors. mainly aimed at meat derived products, although other equally relevant products should be targeted. Several recent technological advances successfully integrated into must further explored promote establishment assessment.

Язык: Английский

Процитировано

18

Aptamer-free upconversion nanoparticle/silk biosensor system for low-cost and highly sensitive detection of antibiotic residues DOI
Yajun Shuai, Na Li, Ying Zhang

и другие.

Biosensors and Bioelectronics, Год журнала: 2024, Номер 258, С. 116335 - 116335

Опубликована: Апрель 25, 2024

Язык: Английский

Процитировано

16

Aptamer-conjugated gold nanoparticles for portable, ultrasensitive naked-eye detection of C-reactive protein based on the Tyndall effect DOI Creative Commons
Alexandru-Milentie Hada, Sorina Suarasan, Mara Muntean

и другие.

Analytica Chimica Acta, Год журнала: 2024, Номер 1307, С. 342626 - 342626

Опубликована: Апрель 22, 2024

C-reactive protein (CRP) represents an early clinical biomarker that indicates the presence of inflammatory or infectious conditions in human body. Today's procedures approved by Food and Drug Administration (FDA) imply expensive equipment highly trained personnel to perform test. Therefore, a new diagnostic method with high detection efficiency less cost is urgently needed for delivering rapid timely results point-of-care (POC) service.

Язык: Английский

Процитировано

10

Raman spectroscopy for esophageal tumor diagnosis and delineation using machine learning and the portable Raman spectrometer DOI

Junqing Yang,

Pei Xu,

Siyi Wu

и другие.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Год журнала: 2024, Номер 317, С. 124461 - 124461

Опубликована: Май 12, 2024

Язык: Английский

Процитировано

10