Interference-free SERS nanoprobes for labeling and imaging of MT1-MMP in breast cancer cells

Zhu, Dan; Li, Anran; Di, Yunsong; Wang, Zhuyuan; Shi, Jianfeng; Ni, Xiaoqi; Wang, Yiping

doi:10.1088/1361-6528/ac4065

Cited by 5 publications

(3 citation statements)

References 42 publications

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“…Zhu et al. ( 145 ) further localized SERS nanoprobe labeling of MT1-MMP in MDA-MB-231 cells, achieving marked and imaging.…”

Section: Sers Detection Of Tumor Biomarkersmentioning

confidence: 99%

Recent progress in Surface-Enhanced Raman Spectroscopy detection of biomarkers in liquid biopsy for breast cancer

Liu,

Jia,

Zheng

2024

Front. Oncol.

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Breast cancer is the most commonly diagnosed cancer in women globally and a leading cause of cancer-related mortality. However, current detection methods, such as X-rays, ultrasound, CT scans, MRI, and mammography, have their limitations. Recently, with the advancements in precision medicine and technologies like artificial intelligence, liquid biopsy, specifically utilizing Surface-Enhanced Raman Spectroscopy (SERS), has emerged as a promising approach to detect breast cancer. Liquid biopsy, as a minimally invasive technique, can provide a temporal reflection of breast cancer occurrence and progression, along with a spatial representation of overall tumor information. SERS has been extensively employed for biomarker detection, owing to its numerous advantages such as high sensitivity, minimal sample requirements, strong multi-detection ability, and controllable background interference. This paper presents a comprehensive review of the latest research on the application of SERS in the detection of breast cancer biomarkers, including exosomes, circulating tumor cells (CTCs), miRNA, proteins and others. The aim of this review is to provide valuable insights into the potential of SERS technology for early breast cancer diagnosis.

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“…Zhu et al. ( 145 ) further localized SERS nanoprobe labeling of MT1-MMP in MDA-MB-231 cells, achieving marked and imaging.…”

Section: Sers Detection Of Tumor Biomarkersmentioning

confidence: 99%

Recent progress in Surface-Enhanced Raman Spectroscopy detection of biomarkers in liquid biopsy for breast cancer

Liu,

Jia,

Zheng

2024

Front. Oncol.

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“…SERS facilitates liquid biopsy [ 96 ] by using urine, saliva, and serum, thus making it low cost and enabling easier frequent sampling compared to the existing tissue-biopsy techniques, which are often destructive [ 97 ]. Different cancer biomarkers, such as miRNA [ 98 , 99 ], proteins, exosomes [ 100 , 101 ], circulating tumor DNA (ctDNA), genes [ 102 ], peptides [ 103 ], and blood plasma [ 104 ], are studied using SERS for disease identification. SERS tags that specifically bind to the targets under study are widely used for analyzing cancer samples [ 105 , 106 , 107 , 108 , 109 ].…”

Section: Sers For Disease Diagnosismentioning

confidence: 99%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

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Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS’s full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.

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“…Liu and co-workers developed a surface-enhanced Raman scattering (SERS) platform for detection and photothermal killing of bacteria where the CN stretching vibrations of 4-mercaptobenzonitrile and Prussian blue are used as the Raman reporters. Similarly, Wang and co-workers designed a SERS nanoprobe for imaging the membrane type-1 matrix metalloproteinase in cancer cells, which uses the nitrile stretching vibration of 4-mercaptobenzonitrile as the Raman reporter. Huang and co-workers devised a sensitive pH detection method that relies on a pH-responsive and nitrile-based SERS probe.…”

Section: Application Of Cn Stretching Vibration In Biological Sciencementioning

confidence: 99%

Triple-Bond Vibrations: Emerging Applications in Energy and Biological Sciences

Zhou,

Feng,

Zhang

et al. 2023

J. Phys. Chem. Lett.

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Interference-free SERS nanoprobes for labeling and imaging of MT1-MMP in breast cancer cells

Cited by 5 publications

References 42 publications

Recent progress in Surface-Enhanced Raman Spectroscopy detection of biomarkers in liquid biopsy for breast cancer

Recent progress in Surface-Enhanced Raman Spectroscopy detection of biomarkers in liquid biopsy for breast cancer

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Triple-Bond Vibrations: Emerging Applications in Energy and Biological Sciences

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