Surface-enhanced Raman spectroscopy for bioanalysis and diagnosis

Tahir, Muhammad; Dina, Nicoleta Elena; Cheng, Heyong; Valev, Ventsislav K.; Zhang, Liwu

doi:10.1039/d1nr00708d

Cited by 141 publications

(92 citation statements)

References 264 publications

(334 reference statements)

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“…In recent years, SERS has been growingly studied and serves as a convenient and non-destructive analytic method in human disease. 13 Combined with metallic nano-substrate, signal intensity of SERS peaks can be enhanced 10 6 to 10 8 times and provide fingerprint information of analyzed samples including blood, urine and saliva, thus enabling biocomponent identification and disease assessment. 29 With its non-destructive nature and convenience, SERS analysis of human specimen has been extensively used in cancer diagnosis and assessment such as prostate cancer, gastric cancer and hepatocellular cancer, which yield high accuracies and promising potentials.…”

Section: Discussionmentioning

confidence: 99%

“… 12 The convenient process and simple specimen requirement enable SERS to be widely applicated in human malignancy diagnosis and monitoring with high accuracy. 13 A growing number of studies have shown that SERS can reflect biochemical alterations in biospecimens and achieve sensitive and non-invasive diagnosis of multiple malignancies including prostate cancer, breast cancer and lung cancer. 14–16 It has been reported that SERS analysis of blood serum can accurately detect prostate cancer in patients with “gray zone” prostate-specific antigen levels of 4–10 ng/mL with over 90% accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

Qian¹,

Wang²,

Ma³

et al. 2022

IJN

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Objective To explore the value of surface-enhanced Raman spectroscopy analysis of pretreated plasma samples in prediction of bladder cancer (BCa) recurrence after neoadjuvant chemotherapy (NAC) and radical cystectomy (RC). Patients and Methods SERS was used to analyze plasma samples collected before biopsy and treatment in BCa patients undergoing NAC and RC. The value of clinicopathological parameters and distinctive SERS peaks in the prediction of disease recurrence were analyzed in Cox regression proportional hazard analysis and Log rank test. Principal component analysis and linear discriminant analysis (PCA-LDA) were employed to process spectral data and construct diagnostic algorithms. Results A total of 88 patients with 440 plasma SERS spectra were collected. The SRES spectra from recurrent patients were compared with patients who remained recurrence free. The SERS demonstrated higher levels of circulating free nucleic acid components in recurrent population, which is represented by significantly higher intensities at SERS peaks of 725 cm −1 , 1328 cm −1 and 1455 cm −1 . The SERS also detected significantly lower levels of tryptophan shown as lower significantly intensities at the 1558 cm −1 , which is proved to be an independent predictor of BCa recurrence. The addition of SERS peaks of 1558 cm −1 to classic clinicopathological predictors including pathological tumor stage, lymph node metastasis and pathological downstaging can significantly enhance the power of the predictive model from 0.66 to 0.76 in the area under curve (AUC) of receiver operating characteristic (ROC) curves. Meanwhile, the PCA-LDA diagnostic model based on SERS spectra reveals a high accuracy of 85.2% in prediction of disease recurrence and the AUC of 0.92 in the ROC curve. When validated in the leave-one-out cross-validation method, the accuracy of the model remained 84.1%. Conclusion We show that SERS analysis of plasma before NAC treatment can accurately classify patients with different risks of disease recurrence after surgery and improve the power of clinicopathological predictive models, thus refining clinical decision-making.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

Qian¹,

Wang²,

Ma³

et al. 2022

IJN

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“…The unlabeled assay is a Raman spectroscopy of exosomes obtained by adsorbing the purified exosomes directly or very close to the SERS substrate surface ( Soares Martins et al, 2018 ; Zhang et al, 2019b ). The signal intensity in SERS decays exponentially as the analyte moves away from the hot spot ( Liu et al, 2021b ; Tahir et al, 2021 ). To obtain the desired exosome Raman signal, efficient SERS-enhanced substrates need to be prepared.…”

Section: Sers Technology For Exosome Detectionmentioning

confidence: 99%

Advances in the Application of Exosomes Identification Using Surface-Enhanced Raman Spectroscopy for the Early Detection of Cancers

Yang

Jia

2022

Front. Bioeng. Biotechnol.

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Exosomes are small nanoscale vesicles with a double-layered lipid membrane structure secreted by cells, and almost all types of cells can secrete exosomes. Exosomes carry a variety of biologically active contents such as nucleic acids and proteins, and play an important role not only in intercellular information exchange and signal transduction, but also in various pathophysiological processes in the human body. Surface-enhanced Raman Spectroscopy (SERS) uses light to interact with nanostructured materials such as gold and silver to produce a strong surface plasmon resonance effect, which can significantly enhance the Raman signal of molecules adsorbed on the surface of nanostructures to obtain a rich fingerprint of the sample itself or Raman probe molecules with ultra-sensitivity. The unique advantages of SERS, such as non-invasive and high sensitivity, good selectivity, fast analysis speed, and low water interference, make it a promising technology for life science and clinical testing applications. In this paper, we briefly introduce exosomes and the current main detection methods. We also describe the basic principles of SERS and the progress of the application of unlabeled and labeled SERS in exosome detection. This paper also summarizes the value of SERS-based exosome assays for early tumor diagnosis.

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“…[ 2 , 3 ]). Nowadays, the SERS effect is widely used for detecting target molecules at low concentrations that are important for numerous applications, from ecology [ 4 ] and chemistry [ 5 ] to biosensorics [ 6 , 7 , 8 ], including biomedical diagnostics [ 9 , 10 , 11 , 12 ]. The most convenient explanation of SERS considers two main mechanisms, i.e., (i) electromagnetic enhancement and (ii) chemical one [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Surface-Enhanced Raman Scattering from Dye Molecules in Silicon Nanowire Structures Decorated by Gold Nanoparticles

Ikramova

Utegulov

Dikhanbayev

et al. 2022

IJMS

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Silicon nanowires (SiNWs) prepared by metal-assisted chemical etching of crystalline silicon wafers followed by deposition of plasmonic gold (Au) nanoparticles (NPs) were explored as templates for surface-enhanced Raman scattering (SERS) from probe molecules of Methylene blue and Rhodamine B. The filling factor by pores (porosity) of SiNW arrays was found to control the SERS efficiency, and the maximal enhancement was observed for the samples with porosity of 55%, which corresponded to dense arrays of SiNWs. The obtained results are discussed in terms of the electromagnetic enhancement of SERS related to the localized surface plasmon resonances in Au-NPs on SiNW’s surfaces accompanied with light scattering in the SiNW arrays. The observed SERS effect combined with the high stability of Au-NPs, scalability, and relatively simple preparation method are promising for the application of SiNW:Au-NP hybrid nanostructures as templates in molecular sensorics.

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Surface-enhanced Raman spectroscopy for bioanalysis and diagnosis

Abstract: In recent years, bioanalytical surface-enhanced Raman spectroscopy (SERS) has blossomed into a fast-growing research area. We present here a review on SERS-based assays with focus on early bacterial infection detection and chronic disease diagnosis.

Cited by 141 publications

References 264 publications

Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

Advances in the Application of Exosomes Identification Using Surface-Enhanced Raman Spectroscopy for the Early Detection of Cancers

Surface-Enhanced Raman Scattering from Dye Molecules in Silicon Nanowire Structures Decorated by Gold Nanoparticles

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