A rapid Raman detection of deoxynivalenol in agricultural products

Yuan, Jing; Sun, Chengbo; Guo, Xiaoyu; Yang, Tianxi; Wang, Hui; Fu, Shuyue; Li, Chuanchuan; Yang, Haifeng

doi:10.1016/j.foodchem.2016.11.101

Cited by 65 publications

(41 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the AOH treatment, several intense SERS bands appeared in the spectrum of the SiO 2 @Ag NPs. The most intense band at 1609 cm −1 was assigned to a C–C ring stretching mode [ 13 , 21 , 22 ], whereas the band at 1304 cm −1 was assigned to C–H ring stretching mode [ 13 , 22 ] and that at 1254 cm −1 was assigned to C–O–H and C–H in-plane bending [ 22 , 23 ]. These SERS bands are well matched with the reported Raman spectra of AOH [ 22 ].…”

Section: Resultsmentioning

confidence: 99%

Highly Reproducible Surface-Enhanced Raman Scattering Detection of Alternariol Using Silver-Embedded Silica Nanoparticles

Hahm

Kim

Pham

et al. 2020

Sensors

View full text Add to dashboard Cite

Alternariol (AOH) is a mycotoxin from fungi that has been found in processed foods due to its high thermal stability. To address the complexity and costs of conventional AOH detection methods, we propose an alternative based on surface-enhanced Raman scattering (SERS) and specially designed nanoparticle substrate. Herein, silver-embedded silica (SiO2@Ag) nanoparticles with a highly reproducible SERS signal were successfully developed for detecting AOH. Silica nanoparticles (~145 nm) were used as a template to deposit silver nanoparticles (~17 nm), thereby generating SiO2@Ag. The SiO2@Ag nanoparticles showed a good linearity between SERS signal intensity and AOH concentrations from 16 to 1000 nM with a limit of detection of 4.83 nM. Additionally, the SERS signal of the SiO2@Ag nanoparticles was highly reproducible, with relative standard deviations of 2.33–5.95% in the AOH concentration range from 10 to 10,000 nM, demonstrating the reliability of the proposed SERS method.

show abstract

Section: Resultsmentioning

confidence: 99%

Highly Reproducible Surface-Enhanced Raman Scattering Detection of Alternariol Using Silver-Embedded Silica Nanoparticles

Hahm

Kim

Pham

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Raman detection of DON in agricultural products by Yuan et al 45 modeled the small molecule with density functional theory (DFT). However, the authors only published a few vibrational band assignments; thus, computational modeling of the molecule was completed here to fully assign all possible peaks in the experimental spectrum for DON.…”

Section: Resultsmentioning

confidence: 99%

“…Non-resonant Raman spectra of DON and OTA were calculated using density functional calculations in GaussView 6.0.16 with a basis set of B3LYP/6-311G++(d,p) following previous literature that calculated a small number of DON vibrational bands. 45 Rotational and vibrational bands were labeled for each molecule and can be found in a comprehensive table in the ESI † (Table S1).…”

Section: Density Functional Theorymentioning

confidence: 99%

Multiplex surface-enhanced Raman scattering detection of deoxynivalenol and ochratoxin A with a linear polymer affinity agent

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Deoxynivalenol, a mycotoxin produced by fungi, can contaminate several cereals, such as corn, wheat, and barley, and it can induce anorexia and gastrointestinal irritation. Its detection was demonstrated in water solution by Yuan et al, using colloidal Ag Nps, with an LOD of 10 −7 M. SERS spectra were collected with a portable R. Laser analyzer (Enwave) at 785 nm.…”

Section: Food Contaminantsmentioning

confidence: 99%

SERS detection of food contaminants by means of portable Raman instruments

Pilot

2018

J Raman Spectroscopy

View full text Add to dashboard Cite

Surface‐enhanced Raman scattering (SERS) has been emerging as a powerful tool for the detection of a variety of analytes due to its very high sensitivity and fingerprinting recognition capabilities. Technological progresses in the equipment for Raman analysis are contributing to its transition from a technically demanding research method to a more widely available analytical technique. In particular, the commercialization of portable or handheld instruments has opened up the possibility of performing in situ analysis. In this review, a selection of the SERS substrates that are expected to be more suitable for use in combination with portable instruments is presented: Substrates are compared, for example, in terms of performance, reproducibility, ease of fabrication, and surface area. Moreover, this paper provides a survey of the current diffusion of portable Raman instruments in the SERS detection of food contaminants: The investigation of several analytes is summarized (mainly toxins, virus, bacteria, pesticides, forbidden food dyes, and preservatives), reporting on the limits of detection and on the eventual coupling with concentration or separation techniques. A brief perspective on possible future developments of the SERS detection with portable instruments is also provided.

show abstract

A rapid Raman detection of deoxynivalenol in agricultural products

Cited by 65 publications

References 23 publications

Highly Reproducible Surface-Enhanced Raman Scattering Detection of Alternariol Using Silver-Embedded Silica Nanoparticles

Highly Reproducible Surface-Enhanced Raman Scattering Detection of Alternariol Using Silver-Embedded Silica Nanoparticles

Multiplex surface-enhanced Raman scattering detection of deoxynivalenol and ochratoxin A with a linear polymer affinity agent

SERS detection of food contaminants by means of portable Raman instruments

Contact Info

Product

Resources

About