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Simultaneous optimization of nanocrystalline SnO2 thin film deposition using multiple linear regressions.

Ebrahimiasl S, Zakaria A - Sensors (Basel) (2014)

Bottom Line: Four parameters, including deposition time, pH, bath temperature and tin chloride (SnCl2·2H2O) concentration were optimized by a factorial method.The factorial used a Taguchi OA (TOA) design method to estimate certain interactions and obtain the actual responses.Statistical evidences in analysis of variance including high F-value (4,112.2 and 20.27), very low P-value (<0.012 and 0.0478), non-significant lack of fit, the determination coefficient (R2 equal to 0.978 and 0.977) and the adequate precision (170.96 and 12.57) validated the suggested model.

View Article: PubMed Central - PubMed

Affiliation: Department of Nanotechnology, Ahar Branch, Islamic Azad University, Ahar 54515, Iran. ebrahimiasl.saeideh@yahoo.com.

ABSTRACT
A nanocrystalline SnO2 thin film was synthesized by a chemical bath method. The parameters affecting the energy band gap and surface morphology of the deposited SnO2 thin film were optimized using a semi-empirical method. Four parameters, including deposition time, pH, bath temperature and tin chloride (SnCl2·2H2O) concentration were optimized by a factorial method. The factorial used a Taguchi OA (TOA) design method to estimate certain interactions and obtain the actual responses. Statistical evidences in analysis of variance including high F-value (4,112.2 and 20.27), very low P-value (<0.012 and 0.0478), non-significant lack of fit, the determination coefficient (R2 equal to 0.978 and 0.977) and the adequate precision (170.96 and 12.57) validated the suggested model. The optima of the suggested model were verified in the laboratory and results were quite close to the predicted values, indicating that the model successfully simulated the optimum conditions of SnO2 thin film synthesis.

No MeSH data available.


Response surface plots indicating the effect of interaction between process variables on synthesis of nanocrystalline SnO2 thin film (a) Interaction between time and (b) Interaction between pH and concentration (c) Interaction between temperature and pH for surface roughness (d) Interaction between time and pH and (e) Interaction between pH and concentration (c) Interaction between temperature and pH for energy band gap.
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f5-sensors-14-02549: Response surface plots indicating the effect of interaction between process variables on synthesis of nanocrystalline SnO2 thin film (a) Interaction between time and (b) Interaction between pH and concentration (c) Interaction between temperature and pH for surface roughness (d) Interaction between time and pH and (e) Interaction between pH and concentration (c) Interaction between temperature and pH for energy band gap.

Mentions: Based on the validated model, the 3D plots present the numerous predicted (simulated) responses with the four variables and one response (Table 2) of the deposition (Figure 5). The effect of pH, deposition time, temperature and SnCl2 concentration on chemical synthesis of SnO2 thin film was investigated during the deposition as a preliminary study, while two variables in each case were held constant (e.g., Figure 5a). As observed, the deposition illustrated a peak at a particular value of pH, deposition time, temperature and SnCl2 concentration.


Simultaneous optimization of nanocrystalline SnO2 thin film deposition using multiple linear regressions.

Ebrahimiasl S, Zakaria A - Sensors (Basel) (2014)

Response surface plots indicating the effect of interaction between process variables on synthesis of nanocrystalline SnO2 thin film (a) Interaction between time and (b) Interaction between pH and concentration (c) Interaction between temperature and pH for surface roughness (d) Interaction between time and pH and (e) Interaction between pH and concentration (c) Interaction between temperature and pH for energy band gap.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3958248&req=5

f5-sensors-14-02549: Response surface plots indicating the effect of interaction between process variables on synthesis of nanocrystalline SnO2 thin film (a) Interaction between time and (b) Interaction between pH and concentration (c) Interaction between temperature and pH for surface roughness (d) Interaction between time and pH and (e) Interaction between pH and concentration (c) Interaction between temperature and pH for energy band gap.
Mentions: Based on the validated model, the 3D plots present the numerous predicted (simulated) responses with the four variables and one response (Table 2) of the deposition (Figure 5). The effect of pH, deposition time, temperature and SnCl2 concentration on chemical synthesis of SnO2 thin film was investigated during the deposition as a preliminary study, while two variables in each case were held constant (e.g., Figure 5a). As observed, the deposition illustrated a peak at a particular value of pH, deposition time, temperature and SnCl2 concentration.

Bottom Line: Four parameters, including deposition time, pH, bath temperature and tin chloride (SnCl2·2H2O) concentration were optimized by a factorial method.The factorial used a Taguchi OA (TOA) design method to estimate certain interactions and obtain the actual responses.Statistical evidences in analysis of variance including high F-value (4,112.2 and 20.27), very low P-value (<0.012 and 0.0478), non-significant lack of fit, the determination coefficient (R2 equal to 0.978 and 0.977) and the adequate precision (170.96 and 12.57) validated the suggested model.

View Article: PubMed Central - PubMed

Affiliation: Department of Nanotechnology, Ahar Branch, Islamic Azad University, Ahar 54515, Iran. ebrahimiasl.saeideh@yahoo.com.

ABSTRACT
A nanocrystalline SnO2 thin film was synthesized by a chemical bath method. The parameters affecting the energy band gap and surface morphology of the deposited SnO2 thin film were optimized using a semi-empirical method. Four parameters, including deposition time, pH, bath temperature and tin chloride (SnCl2·2H2O) concentration were optimized by a factorial method. The factorial used a Taguchi OA (TOA) design method to estimate certain interactions and obtain the actual responses. Statistical evidences in analysis of variance including high F-value (4,112.2 and 20.27), very low P-value (<0.012 and 0.0478), non-significant lack of fit, the determination coefficient (R2 equal to 0.978 and 0.977) and the adequate precision (170.96 and 12.57) validated the suggested model. The optima of the suggested model were verified in the laboratory and results were quite close to the predicted values, indicating that the model successfully simulated the optimum conditions of SnO2 thin film synthesis.

No MeSH data available.