Rapid and sensitive detection of pyrimethanil residues on pome fruits by Surface Enhanced Raman Scattering

Mandrile, Luisa; Giovannozzi, Andrea Mario; Durbiano, Francesca; Martra, Gianmario; Rossi, Andrea Mario

doi:10.1016/j.foodchem.2017.10.003

Cited by 49 publications

(31 citation statements)

References 30 publications

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“…Food & Agricultural Immunology, 26(3), 410-419. Mandrile, L., Giovannozzi, A., Durbiano, F., Martra, G., & Rossi, A. (2018).…”

Section: Resultsunclassified

“…Studies have shown that fungicides in the natural environment can cause abnormal growth and teratogenicity in amphibians (Bernabò et al, 2016). Pyrimethanil is less toxic in mammals, but studies have shown that pyrimethanil is potentially carcinogenic in mice, rats, dogs, and aquatic organisms (Mandrile, Giovannozzi, Durbiano, Martra, & Rossi, 2018). Therefore, the development of safe, rapid, and efficient detection methods for pyrimethanil in food and the environment is of great significance for food safety.…”

Section: Introductionmentioning

confidence: 99%

“…At present, the most commonly used method for the determination of pyrimethanil residues is gas chromatography, liquid chromatography (Peris-Vicente, Marzo-Mas, Roca-Genoves, Carda-Broch, & Esteve-Romero, 2016), high performance liquid chromatography (HPLC), high performance liquid and gas chromatography-tandem mass spectrometry (Song et al, 2019;Zhang et al, 2019), and tandem mass spectrometry (Samsidar, Siddiquee, & Shaarani, 2017). In recent years, new detection methods have been developed, such as electrochemical sensors (Garrido, Rahemi, Borges, Brett, & Garrido, 2016) and surface enhanced Raman scattering supported by gold nanoparticles (Mandrile, Giovannozzi, Durbiano, Martra, & Rossi, 2018). However, these methods require expensive instruments, professional personnel, and are time consuming.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of immunocolloidal strip for rapid detection of pyrimethanil

Chen

et al. 2019

Food and Agricultural Immunology

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In this study, we prepared a monoclonal antibody against pyrimethanil, for which we first derived its hapten according to the structural formula of pyrimethanil; we used indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) to screen positive mice for cell fusion; finally, we developed five cell lines (1A5, 1E7, 3A6, 3H12 and 5D4) that produced monoclonal antibodies to pyrimethanil. The monoclonal antibody produced by each cell was detected by ic-ELISA, and the monoclonal antibody produced by the 1E7 cell strain was found to be the most sensitive to pyrimethanil. The IC50 value of this antibody was 4 ng/ml. After using this monoclonal antibody, i.e. 1E7, to perform immunocolloidal gold strip treatment on cucumber samples, the PBS and the cucumber samples cutoff value of Immunochromatographic strips (ICS) was found to be 50 ng/ml; We conclude that ICS can rapidly detect pyrimethanil in cucumber samples.

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“…Food & Agricultural Immunology, 26(3), 410-419. Mandrile, L., Giovannozzi, A., Durbiano, F., Martra, G., & Rossi, A. (2018).…”

Section: Resultsunclassified

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of immunocolloidal strip for rapid detection of pyrimethanil

Chen

et al. 2019

Food and Agricultural Immunology

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“…However, since SERS effect is essentially a monolayer effect, if the analyte concentration is too high leading to the saturation of the monolayer, then the linearity between analyte concentration and instrumental response no longer applies (Bell & Sirimuthua, ; McNay et al., ). More complicated chemometric approaches such as partial least square regression and artificial neural networks have been used for SERS spectral data analysis (He, Chen, & Labuza, ; Huang, Kangas, & Rasco, ; Lai et al., ; Luo et al., ; ; Mandrile, Giovannozzi, Durbiano, Martra, & Rossi, ; Pan et al., ). These chemometric approaches utilizing full spectrum instead of a single peak are widely applied for NIR spectral data analysis and their underlying algorithm and applications are well studied and documented.…”

Section: Sers For Trace Analysis Of Organic Chemicals In Foodsmentioning

confidence: 99%

Trace analysis of organic compounds in foods with surface‐enhanced Raman spectroscopy: Methodology, progress, and challenges

Huang

Wang

Lai

et al. 2020

Comp Rev Food Sci Food Safe

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Surface‐enhanced Raman spectroscopy (SERS) provides a potential solution for rapid analysis of trace compounds such as residual pesticides, naturally occurred toxicants, banned or restricted drugs, and food additives in complex food matrices. In this review, the basic principles of SERS and general approaches to successfully apply SERS in food analysis are covered from an applications perspective. The key steps including substrate selection and evaluation, sample preparation and simplification, spectral collection, and data analysis during the development of SERS methods for food analysis are summarized, together with the discussion of typical underlying technical barriers or major challenges of these methods and their applications. Future directions in successfully applying SERS technology as a routine analytical approach to solve real‐world food problems are analyzed. This comprehensive review summarizes the recent progress on theory, application, and scope of SERS for food analysis, providing a basic understanding of the technology; more importantly, key methodology, potential pitfalls, and possible solutions during the development of rapid SERS methods based on authors’ years of SERS experience are shared with researchers in the field.

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“…He et al [20] used SERS based on silver dendrites to detect thiabendazole on apple surface, which was swabbed to recover pesticides. Mandrile et al [21] used gold nanoparticles to detect pyrimethanil on contaminated fruits surface-based optimized methodology by SERS and Raman mapping strategy.…”

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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Rapid and sensitive detection of pyrimethanil residues on pome fruits by Surface Enhanced Raman Scattering

Cited by 49 publications

References 30 publications

Development of immunocolloidal strip for rapid detection of pyrimethanil

Development of immunocolloidal strip for rapid detection of pyrimethanil

Trace analysis of organic compounds in foods with surface‐enhanced Raman spectroscopy: Methodology, progress, and challenges

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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