The Application of Surface-Enhanced Raman Spectroscopy (SERS) Platform

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Optical Chemical Sensors".

Deadline for manuscript submissions: closed (1 September 2024) | Viewed by 5117

Special Issue Editors


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Guest Editor
College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
Interests: the synthesis, characterization of noble metal nanostructures; application in surface enhanced Raman spectroscopy; SERS effect based devices
Special Issues, Collections and Topics in MDPI journals
College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, China
Interests: SERS detection of harmful substrances in food

Special Issue Information

Dear Colleagues,

Surafce-enhanced Raman spectroscopy (SERS) has been developed as a rapid spectral detection technology, which has the characteristics of high sensitivity, high accuracy, fingerprint spectrum and no interference from water molecules. With the rapid development of laser technology and the growing maturity of nano material preparation technology, SERS has been widely applied in the molecular adsorption on single crystal surface, chemical reaction mechanism, cell behavior in organism, food safety, environmental pollution, chemical weapons and artwork identification. Therefore, the topics covered in this Special Issue will involve the recent innovations in SERS platform for use in sensors, food safety and environmental applications. New detection strategy, algorithm research, SERS device and multi technology combination, as well as the synthesis and characterization of new nanomaterials for SERS sensor will be also covered in this Special Issue. Both review and original research are welcomed from the latest developments and future challenges in this exciting field of SERS detection.

Dr. Pei Liang
Dr. De Zhang
Guest Editors

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Published Papers (3 papers)

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Research

16 pages, 1619 KiB  
Article
Fast Monitoring of Quality and Adulteration of Blended Sunflower/Olive Oils Applying Near-Infrared Spectroscopy
by Magdalena Klinar, Maja Benković, Tamara Jurina, Ana Jurinjak Tušek, Davor Valinger, Sandra Maričić Tarandek, Anamaria Prskalo, Juraj Tonković and Jasenka Gajdoš Kljusurić
Chemosensors 2024, 12(8), 150; https://doi.org/10.3390/chemosensors12080150 - 2 Aug 2024
Viewed by 608
Abstract
Food adulteration which is economically motivated (i.e., food fraud) is an incentive for the development and application of new and fast detection methods/instruments. An example of a fast method that is extremely environmentally friendly is near-infrared spectroscopy (NIRS). Therefore, the goal of this [...] Read more.
Food adulteration which is economically motivated (i.e., food fraud) is an incentive for the development and application of new and fast detection methods/instruments. An example of a fast method that is extremely environmentally friendly is near-infrared spectroscopy (NIRS). Therefore, the goal of this research was to examine the potential of its application in monitoring the adulteration of blended sunflower/olive oils and to compare two types of NIRS instruments, one of which is a portable micro-device, which could be used to assess the purity of olive oil anywhere and would be extremely useful to inspection services. Both NIR devices (benchtop and portable) enable absorbance monitoring in the wavelength range from 900 to 1700 nm. Extra virgin oils (EVOOs) and “ordinary” olive oils (OOs) from large and small producers were investigated, which were diluted with sunflower oil in proportions of 1–15%. However, with the appearance of different salad oils that have a defined share of EVOO stated on the label (usually 10%), the possibilities of the recognition and manipulation in these proportions were tested; therefore, EVOO was also added to sunflower oil in proportions of 1–15%. The composition of fatty acids, color parameters, and total dissolved substances and conductivity for pure and “adulterated” oils were monitored. Standard tools of multivariate analysis were applied, such as (i) analysis of main components for the qualitative classification of oil and (ii) partial regression using the least square method for quantitative prediction of the proportion of impurities and fatty acids. Qualitative models proved successful in classifying (100%) the investigated oils, regardless of whether the added thinner was olive or sunflower oil. Developed quantitative models relating measured parameters with the NIR scans, resulted in values of R2 ≥ 0.95 and was reliable (RPD > 8) for fatty acid composition prediction and for predicting the percentage of the added share of impurity oils, while color attributes were less successfully predicted with the portable NIR device (RPD in the range of 2–4.2). Although with the portable device, the prediction potentials remained at a qualitative level (e.g., color parameters), it is important to emphasize that both devices were tested not only with EVOO but also with OO and regardless of whether proportions of 1–15% sunflower oil were added to EVOO and OO or EVOO and OO in the same proportions to sunflower oil. Full article
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15 pages, 4455 KiB  
Article
Recyclable Multifunctional Magnetic Fe3O4@SiO2@Au Core/Shell Nanoparticles for SERS Detection of Hg (II)
by Chao Liu, Hui Wang, Shengmin Xu, Hongbao Li, Yilin Lu and Chuhong Zhu
Chemosensors 2023, 11(6), 347; https://doi.org/10.3390/chemosensors11060347 - 15 Jun 2023
Cited by 6 | Viewed by 1851
Abstract
Mercury ions can be enriched along the food chain and even low concentrations of mercury ions can seriously affect human health and the environment. Therefore, rapid, sensitive, and highly selective detection of mercury ions is of great significance. In this work, we synthesized [...] Read more.
Mercury ions can be enriched along the food chain and even low concentrations of mercury ions can seriously affect human health and the environment. Therefore, rapid, sensitive, and highly selective detection of mercury ions is of great significance. In this work, we synthesized Fe3O4@SiO2@Au three-layer core/shell nanoparticles, and then modified 4-MPy (4-mercaptopyridine) to form a SERS sensor. Mercury ions in water can be easily captured by 4-MPy which were used as the reporter molecules, and the concentration of mercury ions can be evaluated based on the spectral changes (intensification and reduction of peaks) from 4-MPy. After the mercury ion was combined with the pyridine ring, the peak intensity at 1093 cm−1 increased with the concentration of mercury ion in the range of 10 ppm–1 ppb, while the Raman intensity ratio I (416 cm−1)/I (436 cm−1) decreased with the increase of mercury ion concentration. This magnetically separatable and recyclable SERS sensor demonstrates good stability, accuracy, and anti-interference ability and shows the potential to detect actual samples. Furthermore, we demonstrate that the probe is applicable for Hg2+ imaging in macrophage cells. Full article
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14 pages, 2774 KiB  
Article
Rapid Fabrication of Homogeneous Submicron Silver Particles via a Microfluidic Chip and Use as a SERS Detection Substrate
by Junjie Chen, Suyang Li, Fuqi Yao, Wanbing Xu, Yunfeng Li, Qiang Chen and Pei Liang
Chemosensors 2023, 11(4), 232; https://doi.org/10.3390/chemosensors11040232 - 7 Apr 2023
Cited by 6 | Viewed by 1809
Abstract
Silver particles have been widely used in SERS detection as an enhancement substrate. The large-scale synthesis of Ag particles with controllable size and shape is still a challenge. We demonstrate a high-throughput method for the preparation of monodisperse submicron silver particles using S-shaped [...] Read more.
Silver particles have been widely used in SERS detection as an enhancement substrate. The large-scale synthesis of Ag particles with controllable size and shape is still a challenge. We demonstrate a high-throughput method for the preparation of monodisperse submicron silver particles using S-shaped microfluidic chips. Submicron silver particles were prepared by a simplified reduction method. By adjusting the concentration of the reducing agent ascorbic acid and the stabilizer PVP, the particle size and morphology could be controlled, obtaining a size distribution of 1–1.2 μm for flower-like silver particles and a size distribution of 0.5–0.7 μm for quasi-spherical silver particles. This microfluidic system can be used to fabricate submicron silver particles on a large scale, continuously and stably, with a production efficiency of around 1.73 mg/min. The synthesized submicron silver particles could realize ultra-sensitive SERS detection, and the lowest concentration of rhodamine 6G (R6G) that could be detected was 10−9 M. Full article
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