Detection and quantitative analysis of carbendazim herbicide on Ag nanoparticles via surface‐enhanced Raman scattering

Furini, Leonardo N.; Sánchez-Cortés, Santiago; López‐Tocón, Isabel; Otero, Juan C.; Aroca, Ricardo F.; Constantino, Carlos J. L.

doi:10.1002/jrs.4737

Cited by 59 publications

(42 citation statements)

References 53 publications

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“…The SERS bands of carbendazim (curve c) at 632 cm −1 , 1231 cm −1 , 1273 cm −1 and 1521 cm −1 are attributed to the CC bending vibration, C―N stretching vibration, CC stretching vibration and NH bending vibration . Previous studies indicated that carbendazim molecule interacts with Ag surface through the nitrogen atom of the benzimidazole group and chlorpyrifos molecules interact with silver colloids through either phosphorus–sulfur bond or chlorine groups . For acetamiprid, the highest SERS peak was observed at 634 cm −1 , which is associated with the ring structure of the molecule; it is expected that acetamiprid molecules may interact with silver colloids through the ring groups, but it remains to be further confirmed.…”

Section: Resultsmentioning

confidence: 90%

Extraction and identification of mixed pesticides' Raman signal and establishment of their prediction models

Zhai

Peng

et al. 2016

J Raman Spectroscopy

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A nondestructive and sensitive method is developed to determine mixed pesticides of acetamiprid, chlorpyrifos and carbendazim in apple samples by surface‐enhanced Raman spectroscopy (SERS). Self‐modeling mixture analysis (SMA) was used to identify and extract the Raman signals of each pesticide from the spectra of apples contaminated with mixed pesticides. Results indicate that the obtained SERS signal intensities of each pesticide in their mixture have no obvious difference to the signal intensities of the corresponding pure pesticide at a low concentration. The lowest detectable level of acetamiprid, chlorpyrifos and carbendazim in apple are 0.0054 mg/kg, 0.064 mg/kg and 0.014 mg/kg, respectively, which are sensitive enough for identifying apple contaminated with pesticides above the maximum residue limit. The predicted values of each pesticide in their mixture are obtained using the prediction model based on the Raman signal of the single pesticide. The correlation coefficients of predicted values and actual values are 0.893 for acetamiprid, 0.926 for chlorpyrifos and 0.938 for carbendazim, respectively. The method presents the ultrasensitive SERS performance for quantifying residual pesticides in apple samples without sample pre‐treatment, showing great potential to serve as a useful means for monitoring pesticide residues used in mixed state. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 90%

Extraction and identification of mixed pesticides' Raman signal and establishment of their prediction models

Zhai

Peng

et al. 2016

J Raman Spectroscopy

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“…For example, the SERS intensity may fluctuate owing to the movement of metallic nanoparticlestarget molecules in and out of the volume probed by the laser. It also depends on the size, shape, and aggregation of the metallic nanoparticles, which is the reason why there are only a few works in the literature with attempts to correlate band intensity with analyte concentration [22]. The spectra taken from neat Ag colloid, shown in Figure S3 in the Supplementary Material, are used as reference (control).…”

Section: Resultsmentioning

confidence: 99%

Probing trace levels of prometryn solutions: from test samples in the lab toward real samples with tap water

et al. 2015

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Growing food demand has been addressed by protecting crops from insects, weeds, and other organisms by increasing the application of pesticides, thus increasing the risk of environmental contamination. Many pesticides, such as the triazines, are poorly soluble in water and require trace detection methods, which are normally achieved with high-cost sophisticated chromatography techniques. Here, we combine surface-enhanced Raman scattering (SERS) with multidimensional projection techniques to detect the toxic herbicide prometryn in ultrapure, deionized, and tap waters. The SERS spectra for prometryn were recorded with good signal-to-noise ratio down to 5 9 10 -12 mol/L in ultrapure water, approaching singlemolecule levels, and 5 9 10 -9 mol/L in tap water. The latter is one order of magnitude below the threshold allowed for drinking water. In addition to providing a fingerprint of prometryn molecules at low concentrations, SERS is advantageous compared to other methods since it does not require pretreatment or chemical separation. The multidimensional projection methods and the detection procedure with SERS are entirely generic, and may be extended to any other pesticide or water contaminants, thus allowing environmental control to be potentially low cost if portable Raman spectrophotometers are used.

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“…described detection and quantitative analysis of carbendazim (MBC) herbicide on Ag nanoparticles via SERS. They studied the adsorption of the MBC onto the nanoparticle surface by SERS under different experimental conditions, such as different synthesis methods of nanoparticle, variable excitation wavelength, and fungicide concentration with the aim to detect MBC at low concentrations . Meshik and co‐workers described the SERS spectrum of the peptide thymosin‐β4 obtained with a Ag nanorod substrate.…”

Section: Surface‐enhanced Raman Spectroscopymentioning

confidence: 99%

Recent advances in linear and non‐linear Raman spectroscopy. Part X

Nafie

2016

J Raman Spectroscopy

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This review, published annually, provides an overview of advances in the field of Raman spectroscopy as found in papers published in the preceding calendar year in the Journal of Raman Spectroscopy (JRS), as well as in trends over the past decade across journals that have published papers important to the field of Raman spectroscopy. This information is obtained from statistical data on article counts obtained from Thomson Reuters ISI Web of Science Core Collection by year and by subfield of Raman spectroscopy. Additional information is gleaned from presentations at the XXV International Conference on Raman Spectroscopy (ICORS 2016) in Forteleza, Brazil in August 2016 and those featuring Raman scattering at SCIX 2016 organized by the Federation of Analytical Chemistry and Spectroscopy Societies (FACSS) in Minneapolis, Minnesota, USA in September 2016. Coverage is also provided for topics from the conference ECONOS 2016 held in April in Göteborg, Sweden and GeoRaman 2016 in June in Novosibirsk, Russia. Finally, papers published in JRS in 2015 are highlighted and arragned by topics at the frontier of Raman spectroscopy. From these various perspectives, it is clear that Raman spectroscopy continues to be a rapidly expanding field that provides sensitive photonic information of matter at the molecular level in an ever‐widening arena of novel applications. Copyright © 2016 John Wiley & Sons, Ltd.

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Detection and quantitative analysis of carbendazim herbicide on Ag nanoparticles via surface‐enhanced Raman scattering

Cited by 59 publications

References 53 publications

Extraction and identification of mixed pesticides' Raman signal and establishment of their prediction models

Extraction and identification of mixed pesticides' Raman signal and establishment of their prediction models

Probing trace levels of prometryn solutions: from test samples in the lab toward real samples with tap water

Recent advances in linear and non‐linear Raman spectroscopy. Part X

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