Establishment of a reliable scheme for obtaining highly stable SERS signal of biological serum

Li, Hongmei; Wang, Qing; Tang, Jun; Gao, Ningning; Yue, Xiaxia; Zhong, Furu; Lv, Xiaoyi; Fu, Jihong; Wang, Tao; Ma, Cailing

doi:10.1016/j.bios.2021.113315

Cited by 31 publications

(11 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gold nanostars deposited on carbon electrodes showed great enhancements in various factors such as the electroactive surface area, the geometric surface area, charge-transfer resistance, and double-layer capacitance for the electrochemical detection of arsenic, mercury, and lead [21]. The high-performance, surface-enhanced, Raman scattering (SERS) substrate of plasmonic AuNPs was explored to analyze the serum of people with and without cervical cancer [22]. Advancements made regarding plasmonic gold nanomaterials have revealed a promising potential for the biomedical detection of biomolecules, diseases, and heavy metals.…”

Section: Introductionmentioning

confidence: 99%

Plasmonic Gold Nanoisland Film for Bacterial Theranostics

et al. 2021

View full text Add to dashboard Cite

Plasmonic nanomaterials have been intensively explored for applications in biomedical detection and therapy for human sustainability. Herein, plasmonic gold nanoisland (NI) film (AuNIF) was fabricated onto a glass substrate by a facile seed-mediated growth approach. The structure of the tortuous gold NIs of the AuNIF was demonstrated by scanning electron microscopy and energy-dispersive X-ray spectroscopy. Based on the ultraviolet-visible spectrum, the AuNIF revealed plasmonic absorption with maximum intensity at 624 nm. With the change to the surface topography created by the NIs, the capture efficiency of Escherichia coli (E. coli) by the AuNIF was significantly increased compared to that of the glass substrate. The AuNIF was applied as a surface-enhanced Raman scattering (SERS) substrate to enhance the Raman signal of E. coli. Moreover, the plasmonic AuNIF exhibited a superior photothermal effect under irradiation with simulated AM1.5 sunlight. For photothermal therapy, the AuNIF also displayed outstanding efficiency in the photothermal killing of E. coli. Using a combination of SERS detection and photothermal therapy, the AuNIF could be a promising platform for bacterial theranostics.

show abstract

Section: Introductionmentioning

confidence: 99%

Plasmonic Gold Nanoisland Film for Bacterial Theranostics

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Li et al. studied the most appropriate detection conditions for serum [81] . The experimental results show that only when the serum is diluted to a low concentration (10 ppm), the SERS spectrum with high repeatability and stability can be obtained.…”

Section: Detection Of Nucleic Acid Protein Bacteria Virus and Other B...mentioning

confidence: 99%

Application of SERS in In‐Vitro Biomedical Detection

Chen

Teng

et al. 2023

Chemistry An Asian Journal

View full text Add to dashboard Cite

Surface-enhanced Raman scattering (SERS), as a rapid and nondestructive biological detection method, holds great promise for clinical on spot and early diagnosis. In order to address the challenging demands of on spot detection of biomedical samples, a variety of strategies has been developed. These strategies include substrate structural and component engineering, data processing techniques, as well as combination with other analytical methods. This report summarizes the recent SERS developments for biomedical detection, and their promising applications in cancer detection, virus or bacterial infection detection, miscarriage spotting, neurological disease screening et al. The first part discusses the frequently used SERS substrate component and structures, the second part reports on the detection strategies for nucleic acids, proteins, bacteria, and virus, the third part summarizes their promising applications in clinical detection in a variety of illnesses, and the forth part reports on recent development of SERS in combination with other analytical techniques. The special merits, challenges, and perspectives are discussed in both introduction and conclusion sections.

show abstract

“…It is suitable for real‐time detection of samples with high water content and low concentration of body fluids such as blood and saliva. [ 16–21 ]…”

Section: Introductionmentioning

confidence: 99%

Surface‐enhanced Raman spectroscopy and multivariate analysis for the diagnosis of oral squamous cell carcinoma

Wang

Yu²,

et al. 2023

J Raman Spectroscopy

View full text Add to dashboard Cite

The incidence of oral squamous cell carcinoma (OSCC) is increasing worldwide year by year, and its prognosis largely depends on early detection. However, it is difficult to make an early and definitive diagnosis of oral cancer patients by conventional oral examination. This study used surface‐enhanced Raman spectroscopy (SERS) technology to achieve an early and noninvasive diagnosis of oral squamous cell carcinoma. Serum samples were collected from 74 patients with OSCC, 15 patients with malignant neoplasm of the salivary gland, and 94 normal subjects. And saliva samples from 25 patients with OSCC, 8 patients with malignant neoplasm of the salivary gland, and 35 normal subjects. High‐quality surface‐enhanced Raman spectra were obtained using silver nanoparticles (Ag NPs) as the enhancement matrix. The differences in the measured Raman spectra revealed differences in the relative concentrations of biomolecules in saliva and serum from oral squamous carcinoma, salivary gland malignancies, and normal subjects. In combination with a support vector machine (SVM) diagnostic model, the cross‐validation method is used to assess model performance in terms of accuracy, sensitivity, specificity, F1‐measure, balanced accuracy, Matthews correlation coefficient, and area under the receiver operating characteristic curve. The accuracy of model identification is above 80% for all serum samples, whereas the detection of saliva samples, although poorer than serum samples, is expected to improve the diagnostic accuracy with increased sample size. The results suggest that body fluid SERS combined with SVM has great potential to diagnose OSCC noninvasively and rapidly.

show abstract

Establishment of a reliable scheme for obtaining highly stable SERS signal of biological serum

Cited by 31 publications

References 35 publications

Plasmonic Gold Nanoisland Film for Bacterial Theranostics

Plasmonic Gold Nanoisland Film for Bacterial Theranostics

Application of SERS in In‐Vitro Biomedical Detection

Surface‐enhanced Raman spectroscopy and multivariate analysis for the diagnosis of oral squamous cell carcinoma

Contact Info

Product

Resources

About