Surface‐Enhanced Raman Spectroscopy for the Chemical Analysis of Food

Zheng, Jinkai; He, Lili

doi:10.1111/1541-4337.12062

Cited by 288 publications

(152 citation statements)

References 161 publications

(201 reference statements)

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“…Despite this, multispot detection of protein biomarkers has been demonstrated in 10% plasma by SPR on surfaces passivated by covalently immobilized bovine serum albumin (BSA) [27] and up to 60% serum by RPI on surfaces coated with a multifunctional copolymer of dimethylacrylamide [16,20,25]. Examples of other kinds of measurements performed in very complex matrices include the detection of cytokines in cell culture medium by interferometric reflectance imaging sensor (IRIS) [28], the chemical analysis of food samples by SERS [29], the quantification of testosterone in milk by reflectometric interference spectroscopy [30], and the early detection of virus biomarkers in vegetables extracts by RPI [31].…”

Section: The Challenge Of Complex Matricesmentioning

confidence: 99%

Emerging applications of label-free optical biosensors

et al. 2017

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Abstract:Innovative technical solutions to realize optical biosensors with improved performance are continuously proposed. Progress in material fabrication enables developing novel substrates with enhanced optical responses. At the same time, the increased spectrum of available biomolecular tools, ranging from highly specific receptors to engineered bioconjugated polymers, facilitates the preparation of sensing surfaces with controlled functionality. What remains often unclear is to which extent this continuous innovation provides effective breakthroughs for specific applications. In this review, we address this challenging question for the class of label-free optical biosensors, which can provide a direct signal upon molecular binding without using secondary probes. Label-free biosensors have become a consolidated approach for the characterization and screening of molecular interactions in research laboratories. However, in the last decade, several examples of other applications with high potential impact have been proposed. We review the recent advances in label-free optical biosensing technology by focusing on the potential competitive advantage provided in selected emerging applications, grouped on the basis of the target type. In particular, direct and real-time detection allows the development of simpler, compact, and rapid analytical methods for different kinds of targets, from proteins to DNA and viruses. The lack of secondary interactions facilitates the binding of small-molecule targets and minimizes the perturbation in single-molecule detection. Moreover, the intrinsic versatility of label-free sensing makes it an ideal platform to be integrated with biomolecular machinery with innovative functionality, as in case of the molecular tools provided by DNA nanotechnology.

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Section: The Challenge Of Complex Matricesmentioning

confidence: 99%

Emerging applications of label-free optical biosensors

et al. 2017

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“…Plasmonic nanostructures are useful to obtain novel nanodevices that use the shift of the spectral properties of plasmons as transducer element of a chemical/biological signal. Surface Enhanced Raman Scattering (SERS) is a well-known plasmonic spectroscopic technique that allows to reveal the vibrational modes (stretching, bending) of speci c chemical groups of molecules in touch with a SERS substrate [11][12][13][14][15][16][17][18][19]. In order to obtain a high ecient and speci c SERS bio-detection, it is necessary: a) to well design speci c nano-structured substrates with appropriated geometry and sizes; b) to appropriately choose chemicals that can speci cally interact with a target biomolecule.…”

Section: Introductionmentioning

confidence: 99%

Plasmonic Nanocavities-based Aperiodic crystal for Protein-Protein Recognition SERS sensors

Rippa¹,

Castagna²,

Pannico³

et al. 2017

Optical Data Processing and Storage

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Abstract:The revelation of protein-protein interactions is one of the main preoccupations in the eld of proteomics. Nanoplasmonics has emerged as an attractive surface-based technique because of its ability to sense protein binding under physiological conditions in a label-free manner. Here, we present a detailed experimental study of the use of aperiodic photonic nanocavities for plasmonic Surface Enhanced Raman Scattering (SERS) protein detection and recognition. The plasmonic crystal is designed on a 2D Thue-Morse array con guration. The SERS nanosensor is coated with a proper self-assembled monolayer to covalently bind Bovine Serum Albumin that is a well known model to study biological (speci cally, protein) systems. The performance of the nanosensor is assessed by recording a new Raman (SERS) peak in the ngerprint region and by a giant enhancement of the SERS signal intensity, both reported and discussed.

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“…The Raman cross section of the material can increase by up to 10 10-15 times on the metal surface or the rough metal surface. SERS is relatively mature, [11][12][13] and the surfaceenhancement mechanism is divided into two categories: electromagnetic enhancement (physical enhancement) and molecular enhancement (chemical enhancement).…”

Section: Introductionmentioning

confidence: 99%

Detection of Scopolamine Hydrobromide via Surface-enhanced Raman Spectroscopy

et al. 2017

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Surface-enhanced Raman spectroscopy (SERS) was used to measure scopolamine hydrobromide. First, the Raman characteristic peaks of scopolamine hydrobromide were assigned, and the characteristic peaks were determined. The optimal aggregation agent was potassium iodide based on a comparative experimental study. Finally, the SERS spectrum of scopolamine hydrobromide was detected in aqueous solution, and the semi-quantitative analysis and the recovery rate were determined via a linear fitting. The detection limit of scopolamine hydrobromide in aqueous solution was 0.5 μg/mL. From 0 -10 μg/mL, the curve of the intensity of the Raman characteristic peak of scopolamine hydrobromide at 1002 cm -1 is y = 4017.76 + 642.47x. The correlation coefficient was R 2 = 0.983, the recovery was 98.5 -109.7%, and the relative standard deviation (RSD) was about 5.5%. This method is fast, accurate, non-destructive and simple for the detection of scopolamine hydrobromide.

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Surface‐Enhanced Raman Spectroscopy for the Chemical Analysis of Food

Cited by 288 publications

References 161 publications

Emerging applications of label-free optical biosensors

Emerging applications of label-free optical biosensors

Plasmonic Nanocavities-based Aperiodic crystal for Protein-Protein Recognition SERS sensors

Detection of Scopolamine Hydrobromide via Surface-enhanced Raman Spectroscopy

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