| Literature DB >> 31398198 |
Taciano P Ferreira1,2, Khalid Haddi3, Roberto F T Corrêa4, Viviana L B Zapata3, Tathyana B Piau5, Luis F N Souza6, Swel-Marks G Santos6, Eugenio E Oliveira3, Luis O V Jumbo3, Bergmann M Ribeiro4, Cesar K Grisolia5, Rodrigo R Fidelis7, Ana M S Maia6, Raimundo W S Aguiar6.
Abstract
BACKGROUND: The use of synthetic insecticides is one of the most common strategies for controlling disease vectors such as mosquitos. However, their overuse can result in serious risks to human health, to the environment, as well as to the selection of insecticidal resistant insect strains. The development of efficient and eco-friendly insect control is urgent, and essential oils have been presented as potential alternatives to synthetic insecticides. Moreover, nanoencapsulation techniques can enhance their efficiency by protecting from degradation and providing a controlled release rate.Entities:
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Year: 2019 PMID: 31398198 PMCID: PMC6703692 DOI: 10.1371/journal.pntd.0007624
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Nanoparticles names and chitosan:Essential oil proportions used in preparation.
| Sample code | Chitosan | Essential oil |
|---|---|---|
| 1.0 | 0.0 | |
| 1.0 | 0.5 | |
| 1.0 | 1.0 | |
| 1.0 | 2.0 |
Chemical composition, concentrations (%) and Kovats index for S. guianensis essential oil determined by GC-FID and GC-MS.
| Compound | Concentrations % | Ric |
|---|---|---|
| Isoterpilonene | 0.94 | 925 |
| β-Myrcene | 48.59 | 986 |
| 2-Undecanone | 5.43 | 1271 |
| ɣ-Elemene | 7.39 | 1439 |
| ɣ-Muurolene | 0.67 | 1441 |
| δ-Cadinene | 0.57 | 1478 |
| Germacrene D | 9.93 | 1528 |
| α-Cadinol | 0.62 | 1592 |
| Spathulenol | 2.19 | 1547 |
| Germacrene B | 1.59 | 1613 |
| Epicurzerenone | 19.31 | 1611 |
| Unidentified | 2.77 | - |
| Total identified | 97.23 | - |
*Ric = Calculated retention index
Fig 1FTIR spectra of CN, CO2:1, CO1:1, CO1:2, and S. guianensis essential oil.
Fig 2TG curves of (A) CN, (B) CO2:1, (C) CO1:1, (D) CO1:2, and (E) EO samples. (----) Residual weight and (___) dTG.
Fig 3(a) SEM image of CO1:2 with an approximation of 25,000x and (b) the histogram obtained from 400 observations; Mean diameter = 82 nm, standard deviation = 15 nm and median = 84 nm.
The amounts of nanoparticles used in each bioassay, and the respective concentrations of S. guianensis essential oil.
| Concentration of essential oil of | |||
|---|---|---|---|
| 0.23 | 0.37 | 0.48 | |
| 0.47 | 0.73 | 0.97 | |
| 0.70 | 1.10 | 1.45 | |
| 0.93 | 1.47 | 1.93 | |
| 1.40 | 2.20 | 2.90 | |
| 1.87 | 2.93 | 3.87 | |
Fig 4Mortality as a function of the net concentration of EO in the aqueous medium for different ratios between the EO and chitosan in the first 24 hours of exposure.
Fig 5Residual larvicidal activity for different concentrations of chitosan nanoparticles containing S. guianensis essential oil against Ae. aegypti third instar larvae.
(A) CO2:1, (B) CO1:1 and (C) CO1:2.
Mortality analysis and summary of non-linear regression analyses of Mortality parameters.
| Ratio | Model | Concentration (mg/mL) | Estimated parameters (±SE) | F | |||||
|---|---|---|---|---|---|---|---|---|---|
| y = a*exp (-0,5*((x-x0)/b)2) | 0.83 | 0.96 (0.85–1.07) | 2.57 (1.98–3.14) | 0.74 (-0.18–1.65) | 18 | 542.7 | <0.0001 | 0.98 | |
| 1.67 | 1.07 (0.90–1.24) | 3.9 (3.09–4.70) | -0.23 (-1.78–1.30) | 18 | 787.5 | <0.0001 | 0.99 | ||
| 2.5 | 0.96 (0.83–1.09) | 6.34 (4.67–8.02) | 1.00 (-1.6–3.6) | 18 | 201.0 | <0.0001 | 0.96 | ||
| 3.33 | 0.98 (0.88–1.09) | 8.24 (6.59–9.89) | 0.67 (-1.9–3.3) | 18 | 285.5 | <0.0001 | 0.97 | ||
| 5.00 | 0.97 (0.93–1.02) | 13.50 (10.42–16.73) | 3.32 (0.39–6.24) | 18 | 86.4 | <0.0001 | 0.91 | ||
| 6.67 | 1.00 (0.9–1.0) | 12.80 (10.9- -14.7) | 4.55 (3.03–6.07) | 18 | 153.6 | <0.0001 | 0.95 | ||
| y = ax+ y0 | 0.83 | -0.001 (-0.002–0.0002) | - | 0.01 (-0.0007–0.02) | 14 | 3.0 | 0.0057 | 0.43 | |
| y = a/(1+exp (-(x-x0)/b)) | 1.67 | 0.16 (0.15–0.16) | 0.82 (0.80–0.83) | 1.50 (1.49–1.50) | 14 | 457.7 | <0.0001 | 0.99 | |
| 2.5 | 0.20 (0.18–0.22) | 1.24 (1.00–1.48) | 1.37 (1.12–1.62) | 14 | 417.2 | <0.0001 | 0.98 | ||
| 3.33 | 0.35 (0.25–0.44) | 2.79 (1.77–3.82) | 0.01 (-1.94–1.97) | 14 | 299.9 | <0.0001 | 0.98 | ||
| 5.00 | 0.44 (0.40–0.48) | 4.26 (3.27- -5.25) | 2.20 (0.97–3.44) | 14 | 173.2 | <0.0001 | 0.96 | ||
| 6.67 | 0.69 (0.62–0.76) | -1.58 (-2.14- -1.01) | 8.85 (8.17–9.54) | 14 | 203.2 | <0.0001 | 0.97 | ||
| y = ax+ y0 | 2.50 | -0.003(-0.005- -0.0001) | - | 0.02 (0.00–0.036) | 10 | 5.7 | 0.04 | 0.64 | |
| y = a*exp (-0,5*((x-x0)/b)2) | 3.33 | 0.28 (0.22–0.33) | 2.79 (1.52–4.06) | 1.13 (-0.67–2.94) | 10 | 83.0 | <0.0001 | 0.95 | |
| 5.00 | 0.39 (0.36–0.42) | 3.50 (2.82–4.18) | 2.14 (1.34–2.94) | 10 | 182.1 | <0.0001 | 0.98 | ||
| 6.67 | 0.57 (0.53–0.61) | 4.23 (3.39–5.08) | 2.48 (1.57–3.39) | 10 | 121.3 | <0.0001 | 0.97 | ||