Optimization study and application of box-behnken model for probing eggshell supported transition metals based catalysts to synthesize hydrazone & dihydropyrimidinones

Solid supported catalysts have several synthetic applications. Herein, finely ground eggshells were used as a solid support for the preparation of transition metal (Ni, Zn, Cu, Sn and Co) based catalysts to synthesize 2,4-dinitrophenylhydrazone (3) and dihydropyrimidinones (7 and 8). The effect of catalyst load, time and temperature on product yield was studied. Box Behnken Model was employed, and three predictors named catalyst amount (A), reaction time (B), and reaction temperature (C) were used to find the correlation of the predictors with the yield. Second order polynomial equation was used to estimate the effects of these factors. According to the statistical model, about 12% increase in yield was observed as a result of one-unit increase in reaction time while all other terms were kept constant. The values of S (18.1616) and R<sup>2</sup> (71.2%) indicate that the statistical model gave an adequate fit to data. Quadratic model for the response surface was used for the analysis of variance (ANOVA) results, the larger F-values, and smaller p-values indicated that the predictors are in good agreement. The linear model terms of predictors were found to be significantly effective for yield (P < 0.05). The response surface and contour plots were also in agreement with the predicted model.

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Publication Details

Journal
Scientific Reports
Published
2024-10-07
DOI
https://doi.org/10.1038/s41598-024-74876-6
Citations
6
Primary Topic
Nanomaterials for catalytic reactions
Type
article
Field-Weighted Citation Impact
1.50

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article

Optimization study and application of box-behnken model for probing eggshell supported transition metals based catalysts to synthesize hydrazone & dihydropyrimidinones

Mariya al‐Rashida, Sehrish Sarfaraz, Muhammad Saeed, Muhammad Asif Nawaz et al.
6 citations
Scientific Reports
Nanomaterials for catalytic reactions
1.50
article

Optimization study and application of box-behnken model for probing eggshell supported transition metals based catalysts to synthesize hydrazone & dihydropyrimidinones

Mariya al‐Rashida, Sehrish Sarfaraz, Muhammad Saeed, Muhammad Asif Nawaz, Sobia Rana, Abdul Hameed, Rabia Perveen, Minahil Abbas, Khurshid Ayub, Fiza Latif
article en
6 citations

Abstract

Solid supported catalysts have several synthetic applications. Herein, finely ground eggshells were used as a solid support for the preparation of transition metal (Ni, Zn, Cu, Sn and Co) based catalysts to synthesize 2,4-dinitrophenylhydrazone (3) and dihydropyrimidinones (7 and 8). The effect of catalyst load, time and temperature on product yield was studied. Box Behnken Model was employed, and three predictors named catalyst amount (A), reaction time (B), and reaction temperature (C) were used to find the correlation of the predictors with the yield. Second order polynomial equation was used to estimate the effects of these factors. According to the statistical model, about 12% increase in yield was observed as a result of one-unit increase in reaction time while all other terms were kept constant. The values of S (18.1616) and R<sup>2</sup> (71.2%) indicate that the statistical model gave an adequate fit to data. Quadratic model for the response surface was used for the analysis of variance (ANOVA) results, the larger F-values, and smaller p-values indicated that the predictors are in good agreement. The linear model terms of predictors were found to be significantly effective for yield (P < 0.05). The response surface and contour plots were also in agreement with the predicted model.

Scientific ReportsVol. 14(1)
COMSATS University Islamabad (PK), University of Wah (PK), University of Karachi (PK), Lahore University of Management Sciences (PK), Forman Christian College (PK), Namal University (PK), International Center for Chemical and Biological Sciences (PK), University of Sahiwal
University of Karachi, Penn Center for Musculoskeletal Disorders
Openalex Percentile: Top 19%
Nanomaterials for catalytic reactions
1.50
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