Kuntal Das¹, Syed Mohammed Basheeruddin Asdaq^2,*, M. Saifulla Khan^1,*, Sravani Singirikonda¹, Abdulhakeem S. Alamri^3,4, Walaa F. Alsanie^3,4, Majid Alhomrani^3,4, Sreeharsha Nagaraja^5,6, Katharigatta N. Venugopala^5,7

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2349-2365, 2022, DOI:10.32604/phyton.2022.022379 - 30 May 2022

Abstract The current study used RP-HPLC to compare phytochemicals and estimate the bioactive constituents found in Stevia rebaudiana Bert. (SRB) leaves collected from two different geographical sources. SRB leaves were collected from Bangalore, Karnataka, India, and Reduit, Mauritius. Extracts were prepared using ethanol and aqueous solvents. Proximate analysis was used to evaluate moisture content, ash values, crude fibers, and extractive values. Following that, preliminary phytochemical screening was done on both ethanol leaves extracts, and subsequently total flavonoid content was determined. In addition, TLC chromatograms and RP-HPLC studies were performed on both plant extracts to determine the presence… More >

Jiefeng Chen¹, Lisha Ding¹, Pengyu Wang¹, Weijin Zhang², Jie Li³, Badr A. Mohamed⁴, Jie Chen¹, Songqi Leng¹, Tonggui Liu¹, Lijian Leng^2,*, Wenguang Zhou^1,*

Journal of Renewable Materials, Vol.10, No.6, pp. 1555-1574, 2022, DOI:10.32604/jrm.2022.018625 - 20 January 2022

Abstract Biomass is a carbon-neutral renewable energy resource. Biochar produced from biomass pyrolysis exhibits preferable characteristics and potential for fossil fuel substitution. For time- and cost-saving, it is vital to establish predictive models to predict biochar properties. However, limited studies focused on the accurate prediction of HHV of biochar by using proximate and ultimate analysis results of various biochar. Therefore, the multi-linear regression (MLR) and the machine learning (ML) models were developed to predict the measured HHV of biochar from the experiment data of this study. In detail, 52 types of biochars were produced by pyrolysis… More >