A Statistical Approach for Biogenic Synthesis of Nano-Silica from Different Agro-Wastes

Jeelani, Peerzada Gh; Chidambaram, Ramalingam

doi:10.1007/s12633-020-00629-5

Cited by 28 publications

(15 citation statements)

References 35 publications

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“…Sodium silicate bids characteristic advantages over TEOS including refined and uniform particle size along with the high concentration of silica nanoparticles. Many agricultural wastes have been used to extract sodium silicate such as sugarcane bagasse ash (SBA), rice husk , groundnut shell, banana peel, coconut husk, orange peel and walnut shell as an economical and non‐ metallic bio‐precursor for biogenic nano‐silica synthesis [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Statistical approach to synthesise biogenic silica nanoparticles from rice husk and conjugated with Justicia adhatoda extract as green, slow‐release biocide

Jeelani

Ramalingam

2021

IET Nanobiotechnology

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Biogenic silica synthesised from rice husk was used as a controlled release system of an eco-friendly biocide consisting of a Justicia adhatoda extract. Fourier-transform infrared spectroscopy (FTIR) indicated the presence of ester bonds between the silica support and the conjugated Justicia adhatoda extract. Surface area analysis and microscopy confirmed a high level of Justicia adhatoda extract loading in the silica support. The phytochemical investigation of Justicia adhatoda was done by Gas chromatography-mass spectrometry (GC-MS) spectroscopy. Moreover, compared with the naked biogenic silica nanoparticles, a better thermal stability was determined for the conjugated system of the extracted compounds. Trial of kinetic release of silica: Justicia adhatoda ∼29% of loaded Justicia adhatoda was released within 1 h and then the rate of release became slow. Net release of Justicia adhatoda was observed up to 50% within 7 h. The Justicia adhatoda compounds released from silica also showed the improved mortality rate against stored product pest rice weevil (Sitophilus oryzae).This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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Section: Introductionmentioning

confidence: 99%

Statistical approach to synthesise biogenic silica nanoparticles from rice husk and conjugated with Justicia adhatoda extract as green, slow‐release biocide

Jeelani

Ramalingam

2021

IET Nanobiotechnology

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“…4a. It is possible to observe a characteristic broad peak centered at 2 angle of~22°, which confirms the amorphous nature of silica [45]. The absence of sharp peak indicates the absence of crystallinity in the so called isolated sample.…”

Section: Crystalline Property By Xrdmentioning

confidence: 70%

“…Athinarayanan et al (2020) uses Sorghum biocolor leaves as silicon precursor for the preparation of nanosilica by sequential processes [31]. Recently nanostructure silica was extracted through alkali leaching method from various bio-precursors like banana peel, orange peel, coconut husk, wall nut shell and ground nut shell [32]. Sugarcane bagasse ash was promised to be excellent source for silica preparation [33].…”

Section: Introductionmentioning

confidence: 99%

Isolation and Characterization of Fibrillar Nanosilica of Floral Origin: Cortaderia selloana Flowers as the Silica Source

Shadiya

Dominic

Nandakumar³

et al. 2021

Silicon

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Herein we report a novel green chemical route by exploiting the vast and abundant flowers of Cortaderia selloana, known as 'pampass grass' for the isolation of nano silica fibers. To attain high-purity silica from these floras, leaching in hydrochloric acid of three varied normalities and running water treatment was conducted followed by air combustion. Highly pure, uniformly distributed fibrous (60-70 nm diameter) nanosilica was obtained when the acid concentration was 0.1 N, as optimized from Scanning electron microscopy and energy-dispersive X-ray spectroscopy studies. Brunauer-Emmett-Teller surface area analysis summarized that the isolated silica is of specific surface area of 126 m 2 /g. The actual morphology of isolated silica was rich in nano fibrillar channel network as revealed from HR-TEM analysis. This cost effective eco-benign pathway opens a new vista for utilization of bio-precursors as nanosilica source.

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“…After citrus, banana ( Musa sapientum ) with 16% of all fruits products, is the largest fruit product worldwide [ 1 ]. Due to different banana uses including traditional, medicinal, and nutritional, the plant is one of the most important fruits worldwide.…”

Section: Introductionmentioning

confidence: 99%

Application of artificial neural networks and genetic algorithm to predict and optimize greenhouse banana fruit yield through nitrogen, potassium and magnesium

Ramezanpour

Farajpour

2022

PLoS ONE

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The excess of the chemical fertilizers not only causes the environmental pollution but also has many deteriorating effects including global warming and alteration of soil microbial diversity. In conventional researches, chemical fertilizers and their concentrations are selected based on the knowledge of experts involved in the projects, which this kind of models are usually subjective. Therefore, the present study aimed to introduce the optimal concentrations of three macro elements including nitrogen (0, 100, and 200 g), potassium (0, 100, 200, and 300 g), and magnesium (0, 50, and 100 g) on fruit yield (FY), fruit length (FL), and number of rows per spike (NRPS) of greenhouse banana using analysis of variance (ANOVA) followed by post hoc LSD test and two well-known artificial neural networks (ANNs) including multilayer perceptron (MLP) and generalized regression neural network (GRNN). According to the results of ANOVA, the highest mean value of the FY was obtained with 200 g of N, 300 g of K, and 50 g of Mg. Based on the results of the present study, the both ANNs models had high predictive accuracy (R2 = 0.66–0.99) in the both training and testing data for the FY, FL, and NRPS. However, the GRNN model had better performance than MLP model for modeling and predicting the three characters of greenhouse banana. Therefore, genetic algorithm (GA) was subjected to the GRNN model in order to find the optimal amounts of N, K, and Mg for achieving the high amounts of the FY, FL, and NRPS. The GRNN-GA hybrid model confirmed that high yield of the plant could be achieved by reducing chemical fertilizers including nitrogen, potassium, and magnesium by 65, 44, and 62%, respectively, in compared to traditional method.

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A Statistical Approach for Biogenic Synthesis of Nano-Silica from Different Agro-Wastes

Cited by 28 publications

References 35 publications

Statistical approach to synthesise biogenic silica nanoparticles from rice husk and conjugated with Justicia adhatoda extract as green, slow‐release biocide

Statistical approach to synthesise biogenic silica nanoparticles from rice husk and conjugated with Justicia adhatoda extract as green, slow‐release biocide

Isolation and Characterization of Fibrillar Nanosilica of Floral Origin: Cortaderia selloana Flowers as the Silica Source

Application of artificial neural networks and genetic algorithm to predict and optimize greenhouse banana fruit yield through nitrogen, potassium and magnesium

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