scholarly journals A Dual Immunological Raman-Enabled Crosschecking Test (DIRECT) for Detection of Bacteria in Low Moisture Food

Biosensors ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 200
Author(s):  
Cheng Pan ◽  
Binbin Zhu ◽  
Chenxu Yu
Keyword(s):  
Food Safety ◽  
Bacterial Contamination ◽  
Limit Of Detection ◽  
Screening Method ◽  
Detection Methods ◽  
Safety Risks ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering ◽  
Multivariate Discriminant

Among the physical, chemical and biological hazards that could arise with respect to food safety, bacterial contamination has been one of the main concerns in recent years. Bacterial contamination in low moisture foods (LMFs) was an emerging threat which used to draw less attention as LMFs were considered at low risk of such a hazard. Bacteria can survive in low moisture environments and cause foodborne diseases once they enter the digestive system. Common detection methods such as ELISA and PCR are not well suited to LMFs, as most of them operate under aqueous environments. In this study, a Dual Immunological Raman-Enabled Crosschecking Test (DIRECT) was developed for LMFs using a nano-scaled surface enhanced Raman scattering (SERS) biosensor platform and multivariate discriminant analysis with a portable Raman spectrometer. It could provide a limit of detection (LOD) of 102 CFU/g of bacteria in model LMFs, with a detection time of 30–45 min. It has the potential to become a quick screening method for on-site bacteria detection for LMFs to identify food safety risks in real time.

scholarly journals Direct Detection of Toxic Contaminants in Minimally Processed Food Products Using Dendritic Surface-Enhanced Raman Scattering Substrates

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2726 ◽  
Author(s):  
Hannah Dies ◽  
Maria Siampani ◽  
Carlos Escobedo ◽  
Aristides Docoslis
Keyword(s):  
Raman Scattering ◽  
Limit Of Detection ◽  
Screening Method ◽  
Food Products ◽  
Surface Enhanced Raman Scattering ◽  
Liquid Food ◽  
Minimally Processed ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

We present a method for the surface-enhanced Raman scattering (SERS)-based detection of toxic contaminants in minimally processed liquid food products, through the use of a dendritic silver nanostructure, produced through electrokinetic assembly of nanoparticles from solution. The dendritic nanostructure is produced on the surface of a microelectrode chip, connected to an AC field with an imposed DC bias. We apply this chip for the detection of thiram, a toxic fruit pesticide, in apple juice, to a limit of detection of 115 ppb, with no sample preprocessing. We also apply the chip for the detection of melamine, a toxic contaminant/food additive, to a limit of detection of 1.5 ppm in milk and 105 ppb in infant formula. All the reported limits of detection are below the recommended safe limits in food products, rendering this technique useful as a screening method to identify liquid food with hazardous amounts of toxic contaminants.

scholarly journals Rapid and sensitive detection of uranyl ion with citrate-stabilized silver nanoparticles by the surface-enhanced Raman scattering technique

2018 ◽  
Vol 5 (11) ◽  
pp. 181099 ◽  
Author(s):  
Jiaolai Jiang ◽  
Shaofei Wang ◽  
Hui Deng ◽  
Haoxi Wu ◽  
Jun Chen ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Quantitative Analysis ◽  
Limit Of Detection ◽  
Nuclear Industry ◽  
Internal Reference ◽  
Surface Enhanced ◽  
Scattering Technique ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering ◽  
Relationship Of

Uranium contamination poses a huge threat to human health due to its widespread use in the nuclear industry and weapons. We proposed a simple and convenient wet-state SERS method for uranyl detection based on the citrate-stabilized silver nanoparticles. The effect of citrate on the detection performance was also discussed. By using the citrate as an internal reference to normalize the peak of uranyl, a quantitative analysis was achieved and a good linear relationship of uranyl concentration from 0.2 to 5 µM with the limit of detection of 60 nM was obtained. With its simplicity, convenience and cost-effectiveness, this method has great potential for the detection of other molecules also.

Surface-Enhanced Raman Scattering Fiber-Optic Sensor

1990 ◽  
Vol 44 (1) ◽  
pp. 63-69 ◽  
Author(s):  
J. M. Bello ◽  
T. Vo-Dinh
Keyword(s):  
Raman Scattering ◽  
Fiber Optic ◽  
Limit Of Detection ◽  
Spectral Characteristics ◽  
Surface Enhanced Raman Scattering ◽  
Fiber Optic Sensor ◽  
Optic Sensor ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

A fiber-optic system was developed for exciting and collecting surface-enhanced Raman scattering (SERS) signals generated from a sensing plate tip having silver-coated microparticles deposited on a glass support. Various fiber parameters, such as fiber type, fiber-substrate geometry, and other experimental parameters, were investigated to obtain the optimum conditions for the SERS fiber-optic device. In addition, analytical figures of merit relevant to the performance of the SERS fiber-optic sensor, such as SERS spectral characteristics, reproducibility, linear dynamic range, and limit of detection, were also investigated.

Capture of Phenylalanine and Phenylalanine-Terminated Peptides Using a Supramolecular Macrocycle for Surface-Enhanced Raman Scattering Detection

2020 ◽  
Vol 74 (11) ◽  
pp. 1374-1383
Author(s):  
Jacob E. Olson ◽  
Adam S. Braegelman ◽  
Lei Zou ◽  
Matthew J. Webber ◽  
Jon P. Camden
Keyword(s):  
Raman Scattering ◽  
Direct Detection ◽  
Surface Enhanced Raman Scattering ◽  
Detection Methods ◽  
General Strategy ◽  
Trace Detection ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Nanoparticle Aggregates ◽  
Enhanced Raman Scattering

The cucurbit[n]uril (CB[ n]) family of macrocycles are known to bind a variety of small molecules with high affinity. These motifs thus have promise in an ever-growing list of trace detection methods. Surface-enhanced Raman scattering (SERS) detection schemes employing CB[ n] motifs exhibit increased sensitivity due to selective concentration of the analyte at the nanoparticle surface, coupled with the ability of CB[ n] to facilitate the formation of well-defined electromagnetic hot spots. Herein, we report a CB[7] SERS assay for quantification of phenylalanine (Phe) and further demonstrate its utility for detecting peptides with an N-terminal Phe. The CB[7]–guest interaction improves the sensitivity 5–25-fold over direct detection of Phe using citrate-capped silver nanoparticle aggregates, enabling use of a portable Raman system. We further illustrate detection of insulin via binding of CB[7] to the N-terminal Phe residue on its B-chain, suggesting a general strategy for detecting Phe-terminated peptides of clinically relevant biomolecules.

scholarly journals Ultrasensitive surface-enhanced Raman scattering detection in common fluids

2015 ◽  
Vol 113 (2) ◽  
pp. 268-273 ◽  
Author(s):  
Shikuan Yang ◽  
Xianming Dai ◽  
Birgitt Boschitsch Stogin ◽  
Tak-Sing Wong
Keyword(s):  
Raman Scattering ◽  
Limit Of Detection ◽  
High Specificity ◽  
Surface Enhanced Raman Scattering ◽  
Mapping Technique ◽  
Quantitative Detection ◽  
Specificity And Sensitivity ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

Detecting target analytes with high specificity and sensitivity in any fluid is of fundamental importance to analytical science and technology. Surface-enhanced Raman scattering (SERS) has proven to be capable of detecting single molecules with high specificity, but achieving single-molecule sensitivity in any highly diluted solutions remains a challenge. Here we demonstrate a universal platform that allows for the enrichment and delivery of analytes into the SERS-sensitive sites in both aqueous and nonaqueous fluids, and its subsequent quantitative detection of Rhodamine 6G (R6G) down to ∼75 fM level (10−15 mol⋅L−1). Our platform, termed slippery liquid-infused porous surface-enhanced Raman scattering (SLIPSERS), is based on a slippery, omniphobic substrate that enables the complete concentration of analytes and SERS substrates (e.g., Au nanoparticles) within an evaporating liquid droplet. Combining our SLIPSERS platform with a SERS mapping technique, we have systematically quantified the probability, p(c), of detecting R6G molecules at concentrations c ranging from 750 fM (p > 90%) down to 75 aM (10−18 mol⋅L−1) levels (p ≤ 1.4%). The ability to detect analytes down to attomolar level is the lowest limit of detection for any SERS-based detection reported thus far. We have shown that analytes present in liquid, solid, or air phases can be extracted using a suitable liquid solvent and subsequently detected through SLIPSERS. Based on this platform, we have further demonstrated ultrasensitive detection of chemical and biological molecules as well as environmental contaminants within a broad range of common fluids for potential applications related to analytical chemistry, molecular diagnostics, environmental monitoring, and national security.

scholarly journals Application of SERS quantitative analysis method in food safety detection

2021 ◽  
Vol 40 (1) ◽  
pp. 173-186
Author(s):  
Hualan Zhou ◽  
Xiaodi Li ◽  
Lehui Wang ◽  
Yingfang Liang ◽  
Aikedan Jialading ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Food Safety ◽  
Analysis Method ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Food Quality And Safety ◽  
Quantitative Analysis Method ◽  
Enhanced Raman Scattering ◽  
Non Destructive ◽  
Food Safety And Quality

Abstract Food safety and quality have gained much attention and the capability to evaluate food quality and safety in a sensitive, rapid, and reliable manner is of great importance in the food industry. Surface-enhanced Raman scattering (SERS) with the advantages of excellent sensitivity, high selectivity, non-destructive nature, and significant enhancement to identify the target has demonstrated a great potential for quick detection of the food sample. The enhancement of Raman signals for SERS is not only related to the interactions between substrates and samples but also the functionalization of substrates to gain SERS active substrates. In the present review, this paper summarized the progress of SERS quantitative analysis and application in food safety detection. The future trends and perspectives were also given.

Sign in / Sign up

Export Citation Format

Share Document