Diazinon is a highly efficient, highly toxic, low residual organophosphorus pesticide used widely in rice, vegetables, and corn crops. Conventional methods for diazinon detection are limited by expensive instruments and tedious sample pretreatment methods, so a new method for rapid, simple, and reliable trace pesticide residues is needed to ensure the safety of crop products. In this paper, silver nanoparticles were synthesized as active substrates using a reduction technique for SERS signal enhancement. The SERS spectra of diazinon were collected over a wide range of concentrations. The characteristic peaks at 1642 cm-1 and 1351 cm-1 were selected for quantitative analysis, and their coefficient of determination (R2) were 0.9929 and 0.9951, respectively. In addition, the molecular structure of diazinon was simulated for the first time, and the vibrational modes corresponding to the characteristic spectra of diazinon were calculated with good agreement using the density flooding theory B3LY P/6-31+G (d, p). These results indicate that the application of SERS to diazinon detection is feasible and has broad application prospects.
Although the concentration of plant hormone abscisic acid (ABA) in crops is very low, it can effectively regulate the growth of crops. Traditional ABA detection methods are limited by expensive instruments and cumbersome sample processing. Therefore, a new method for detecting ABA in ultra-low concentrations is urgently needed. In this paper, a new method for fast and accurate determination of ABA content based on Surface Enhanced Raman Spectroscopy (SERS) was proposed. In this method, a solution of silver-coated gold nanoparticles (Au@Ag) was self-assembled into dense monolayer under the action of capillary gradient force at the air/water interface, which could be transferred to PDMS wafers and filter paper as SERS active substrates. R6G was used as a probe molecule to characterize the Sensitivity and accuracy of PDMS SERS active substrates. When the PDMS active substrate was selected to detect ABA, the detection limit 1×10−11 M was obtained, indicating that PDMS supported core-shell precious metal monolayer substrate can be used as a effective active substrate for detecting ABA. This method is also expected to be applied to the detection of other plant hormones such as corn and soybean.
Time domain reflectometry (TDR) has become the most commonly utilized method for calculating the water content of porous media due to its advantages of rapidity, safety, and non-destructiveness. Nonetheless, the dielectric constant of porous media with the same gravimetric water content varies considerably due to their different porosity, so the TDR method cannot be directly used to measure the gravimetric water content. Although the traditional thermo-gravimetric method has high measurement accuracy, sampling is cumbersome and measurement is time-consuming. Therefore, it is essential to develop an accurate and effective method to calculate the gravimetric water content of porous media. Based on the dielectric measurement results, a third-order polynomial fitting equation describing the relationship between volume water content and apparent dielectric constant of quartz sand is obtained by employing the least square method. Then a TDR method, which can eliminate the influence of gap through secondary compression, is proposed to calculate the gravimetric water content of porous media. The comparative experiment with the thermo-gravimetric method demonstrates that this method has high measurement accuracy, and provides an approach for predicting the gravimetric water content, bulk density, and porosity of porous media, which can be used in field and laboratory applications.
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