Downloads provided by UsageCounts
doi: 10.1002/jrs.6262
handle: 10261/268145 , 11449/233622
AbstractSurface‐enhanced Raman scattering (SERS) is a technique which has been well explored for detecting contaminating substances, such as pesticides. Of particular interest has been the use of SERS for quantifying trace levels of the s‐triazine compounds, unraveling the adsorption mechanisms on metallic nanoparticles. Herein, we applied silver nanoparticles (AgNP) as SERS substrates for detecting commercial samples of the pesticides prometryn (PRM) and atrazine (ATZ) and their purified samples in the presence of soil humic substances (SHS). The degrading effect of SHS was assessed through the similarities between the SERS spectra of the purchased pesticides and purified pesticides in the presence of SHS. We also evaluated the mechanisms of interaction between the purified pesticide molecules and SHS. Strong interactions of the amino groups (s‐triazine molecules) with the oxygenated groups (SHS) were confirmed via SERS spectra. Such interaction, which is favorable for purified pesticides, allowed to increase the sensitivity of SERS detection, reaching low limits of detection (LOD): 5.5 ppb and 4.0 ppb for unpurified PRM and ATZ (as purchased), respectively, against 1.3 ppb and 21 ppt for purified PRM and ATZ in the presence of the SHS, respectively.
S-triazine pesticides, SERS, Mechanism of interaction, 500, Detection of pesticide, Soil humic substance
S-triazine pesticides, SERS, Mechanism of interaction, 500, Detection of pesticide, Soil humic substance
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 53 | |
| downloads | 26 |

Views provided by UsageCounts
Downloads provided by UsageCounts