Fundamentals and applications of surface-enhanced Raman spectroscopy–based biosensors

Li, Penghui; Long, Feng; Chen, Wan-Ling; Chen, Jing; Chu, Paul K.; Wang, Huaiyu

doi:10.1016/j.cobme.2019.08.008

Cited by 107 publications

(44 citation statements)

References 48 publications

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“…In the last decade, extensive progress has been made for biosensor based monitoring of biological processes and diagnostics of the diseases using the detection or quantitative determination of biomolecules [ 24 ]. Biosensors have numerous proven applications in diagnostics [ 25 ], drug discovery [ 26 ], biomedicine [ 27 ], environmental monitoring [ 28 ], food safety and processing [ 29 ], and biosafety [ 30 ] by providing qualitative and quantitative information on these processes [ 31 ].…”

Section: Biosensors Design For Detection Of Npsmentioning

confidence: 99%

Emerging biosensors in detection of natural products

Piroozmand

Mohammadipanah

Faridbod

2020

Synthetic and Systems Biotechnology

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Natural products (NPs) are a valuable source in the food, pharmaceutical, agricultural, environmental, and many other industrial sectors. Their beneficial properties along with their potential toxicities make the detection, determination or quantification of NPs essential for their application. The advanced instrumental methods require time-consuming sample preparation and analysis. In contrast, biosensors allow rapid detection of NPs, especially in complex media, and are the preferred choice of detection when speed and high throughput are intended. Here, we review diverse biosensors reported for the detection of NPs. The emerging approaches for improving the efficiency of biosensors, such as microfluidics, nanotechnology, and magnetic beads, are also discussed. The simultaneous use of two detection techniques is suggested as a robust strategy for precise detection of a specific NP with structural complexity in complicated matrices. The parallel detection of a variety of NPs structures or biological activities in a mixture of extract in a single detection phase is among the anticipated future advancements in this field which can be achieved using multisystem biosensors applying multiple flow cells, sensing elements, and detection mechanisms on miniaturized folded chips.

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Section: Biosensors Design For Detection Of Npsmentioning

confidence: 99%

Emerging biosensors in detection of natural products

Piroozmand

Mohammadipanah

Faridbod

2020

Synthetic and Systems Biotechnology

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“…Different data types, feature reduction techniques, and classifier types were varied, where all possible combinations of these were investigated for normalized and non-normalized spectra (Figure 1). factors can be as much as million-fold [26,27], and the silver substrate appeared to yield a better signal to noise ratio than the gold (more than an order of magnitude) [28]. Additionally, dominant Raman peaks (728 cm −1 (C-C stretching, proline (collagen assignment)), 1092 cm −1 (PO2 −D ), etc.)…”

Section: Data Preprocessing and Analysismentioning

confidence: 99%

“…Note that prior to the current experimental approach, a preliminary data collection was attempted using a spontaneous Raman technique (without a SERS substrate) and with gold and silver SERS substrates. Both of the SERS substrates allowed the procedure to perform several orders of magnitude stronger than without, where the enhancement factors can be as much as million-fold [26,27], and the silver substrate appeared to yield a better signal to noise ratio than the gold (more than an order of magnitude) [28]. Additionally, dominant Raman peaks (728 cm −1 (C-C stretching, proline (collagen assignment)), 1092 cm −1 (PO 2 −D ), etc.)…”

Section: Data Collectionmentioning

confidence: 99%

Machine Learning Approach to Raman Spectrum Analysis of MIA PaCa-2 Pancreatic Cancer Tumor Repopulating Cells for Classification and Feature Analysis

Mandrell

Holland

Wheeler

et al. 2020

Life

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A machine learning approach is applied to Raman spectra of cells from the MIA PaCa-2 human pancreatic cancer cell line to distinguish between tumor repopulating cells (TRCs) and parental control cells, and to aid in the identification of molecular signatures. Fifty-one Raman spectra from the two types of cells are analyzed to determine the best combination of data type, dimension size, and classification technique to differentiate the cell types. An accuracy of 0.98 is obtained from support vector machine (SVM) and k-nearest neighbor (kNN) classifiers with various dimension reduction and feature selection tools. We also identify some possible biomolecules that cause the spectral peaks that led to the best results.

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“…SERS effect is achieved via two distinct mechanisms, that is, (i) electromagnetic enhancement (EM) and (ii) chemical enhancement (CHEM). The EM often provides the strongest contribution with an enhancement factor typically in the range of 10 to 100 compared to CHEM [ 189 , 222 ]. To mention some of its most common applications in biological systems, SERS offers the advantage to be used in two ways either as (i) direct (label-free) detection or (ii) indirect detection.…”

Section: Diagnostics and Biosensors For Covid-19mentioning

confidence: 99%

Biomedical Science to Tackle the COVID-19 Pandemic: Current Status and Future Perspectives

et al. 2020

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The coronavirus infectious disease (COVID-19) pandemic emerged at the end of 2019, and was caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which has resulted in an unprecedented health and economic crisis worldwide. One key aspect, compared to other recent pandemics, is the level of urgency, which has started a race for finding adequate answers. Solutions for efficient prevention approaches, rapid, reliable, and high throughput diagnostics, monitoring, and safe therapies are needed. Research across the world has been directed to fight against COVID-19. Biomedical science has been presented as a possible area for combating the SARS-CoV-2 virus due to the unique challenges raised by the pandemic, as reported by epidemiologists, immunologists, and medical doctors, including COVID-19’s survival, symptoms, protein surface composition, and infection mechanisms. While the current knowledge about the SARS-CoV-2 virus is still limited, various (old and new) biomedical approaches have been developed and tested. Here, we review the current status and future perspectives of biomedical science in the context of COVID-19, including nanotechnology, prevention through vaccine engineering, diagnostic, monitoring, and therapy. This review is aimed at discussing the current impact of biomedical science in healthcare for the management of COVID-19, as well as some challenges to be addressed.

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Fundamentals and applications of surface-enhanced Raman spectroscopy–based biosensors

Cited by 107 publications

References 48 publications

Emerging biosensors in detection of natural products

Emerging biosensors in detection of natural products

Machine Learning Approach to Raman Spectrum Analysis of MIA PaCa-2 Pancreatic Cancer Tumor Repopulating Cells for Classification and Feature Analysis

Biomedical Science to Tackle the COVID-19 Pandemic: Current Status and Future Perspectives

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