Surface enhanced Raman spectroscopy signals of mixed pesticides and their identification

Tang, Hui; Li, Qing Qing; Ren, Y.; Geng, Jin Pei; Cao, Peng; Su, Tao; Wang, Xuan; Du, Yi

doi:10.1016/j.cclet.2011.07.013

Cited by 29 publications

(12 citation statements)

References 12 publications

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“…As can been observed from Fig. 7 (c), the Raman spectrum of tricyclazole exhibited three prominent features around 550 ~ 1400 cm -1 , in which the peak at 593 cm -1 contributed to the deformation vibration of C-S-C and the bands at 1322 and 1371 cm -1 attributed to the stretch vibration of C-N [36,37]. The attempt to obtain a normal Raman spectrum of tricyclazole at 50 ppb did fail to produce any characteristic band (as shown in Fig.…”

Section: Page 16 Of 40mentioning

confidence: 77%

Quaternized chitosan/silver nanoparticles composite as a SERS substrate for detecting tricyclazole and Sudan I

Chen

Shen

Luo

et al. 2015

Applied Surface Science

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Section: Page 16 Of 40mentioning

confidence: 77%

Quaternized chitosan/silver nanoparticles composite as a SERS substrate for detecting tricyclazole and Sudan I

Chen

Shen

Luo

et al. 2015

Applied Surface Science

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“…Figure 1 shows chemical structure, Raman spectrum and the band assignments for characteristic peaks of flusilazole. The major prominent peaks of flusilazole at 804 and 827 cm −1 are attributed to C=C and C–N stretching, respectively [ 26 ]. The other major characteristic peaks appeared at 1588 cm −1 due to in-plane ring deformation mode of C=C, C–H scissoring vibration (1168 cm −1 ), C–F stretching vibration (1103 cm −1 ), C–N stretching vibration (1355 cm −1 ), as well as out-plane ring deformation (628 cm −1 ) [ 27 , 28 ].…”

Section: Resultsmentioning

confidence: 99%

Rapid Detection of Flusilazole in Pears with Au@Ag Nanoparticles for Surface-Enhanced Raman Scattering

et al. 2018

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Residual pesticides in vegetables or fruits have been become one of the world’s most concerned food safety issues. Au-Ag core-shell nanoparticles (Au@Ag NPs) coupled with surface-enhanced Raman spectroscopy (SERS) was used for analysis of flusilazole which was widely applied in pears. Three different diameters of Au@Ag NPs were prepared to select the best SERS substrate for analyzing flusilazole. The Au@Ag NPs sizes of 90 ± 7 nm showed the highest enhancement effect and could be detected flusilazole standard solution and the minimum detectable concentration was 0.1 mg/L. Flusilazole in pear could also identified at as low as 0.1 μg/g. The amount of adsorbent is critical in the sample preparation process and the best amount of each absorber dosage was 0.6 g MgSO4, 0.2 g C18 and 0.2 g primary secondary amine (PSA). The experimental results indicated a good linear relationship between the Raman intensities of chief peaks and the concentrations of flusilazole solutions (R2 = 0.924–0.962). This study shows that Au@Ag as SERS substrate has great potential to analyze of flusilazole in food matrices.

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“…Liu et al [18] used SERS based on Au@Ag nanoparticles for rapid identification and detection of pesticides residues in the fruit peels. Tang et al [19] prepared Ag colloid to obtained mixed pesticides SERS signals to identify them. He et al [20] used SERS based on silver dendrites to detect thiabendazole on apple surface, which was swabbed to recover pesticides.…”

Section: Introductionmentioning

confidence: 99%

Rapid detection of pesticide residues in fruits by surface-enhanced Raman scattering based on modified QuEChERS pretreatment method with portable Raman instrument

Jiang

Liu

et al. 2019

SN Appl. Sci.

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In this work, surface-enhanced Raman scattering (SERS) spectrum was used to build a rapid analytical method for pesticide residues in fruits. QuEChERS (quick, easy, cheap, effective, rugged and safe) method was modified by multi-walled carbon nanotubes as clean-up sorbents. Overall recoveries of selected pesticide phosmet ranged from 77 to 97% in apples at three spiking levels (0.5, 1 and 2 mg kg −1). The relative standard deviations were between 6.6 and 14%. The limit of detection for phosmet was 0.1 mg kg −1 in standard solution and 0.5 mg kg −1 in apples, which was below the maximum residue limits in fruits of USA, EU and China. The intensity of phosmet characteristic peak existed good linear relationship with the logarithm of concentration between 0.5 and 5 mg kg −1 , with the calibration curve coefficients (R 2) of 0.9994, which indicated quantitative potential for pesticide residue detection. The method was extended to other pesticides, and the obtained SERS results could be used to establish a spectra database. All the experiments were performed with a portable Raman instrument. Combining pretreatment method with spectra database, a sensitive, rapid and convenient method could be built for pesticide residues detection in fruits.

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Surface enhanced Raman spectroscopy signals of mixed pesticides and their identification

Cited by 29 publications

References 12 publications

Quaternized chitosan/silver nanoparticles composite as a SERS substrate for detecting tricyclazole and Sudan I

Quaternized chitosan/silver nanoparticles composite as a SERS substrate for detecting tricyclazole and Sudan I

Rapid Detection of Flusilazole in Pears with Au@Ag Nanoparticles for Surface-Enhanced Raman Scattering

Rapid detection of pesticide residues in fruits by surface-enhanced Raman scattering based on modified QuEChERS pretreatment method with portable Raman instrument

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