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فهرست مطالب نویسنده:

jitendra kumar

  • Priti Kumari, Harish Kumar, Jitendra Kumar, Mohammad Sohail, Krisnha Singh, Kamal Prasad *
    The infection of Aspergillus flavus and its aflatoxin production pose a severe threat to humans, animals as well as plants life. Their inhibition using green techniques are considered as one of the important challenges. The present study outlines the antifungal activity of the ZnO nanoparticles (NPs) synthesized from lemongrass leaf extract and their effect on the mycelial growth of Aspergillus flavus and its aflatoxins production. The qualitative and quantitative analyses of aflatoxins were determined, respectively using thin-layer chromatography and spectrophotometric methods. The X-ray diffraction as well as scanning and transmission electron microscopy studies indicated the formations of hexagonal ZnO NPs having the sizes ranged between 7 and 14 nm. FTIR spectrum confirmed the formation of ZnO NPs. The ZnO NPs displayed 92.25% inhibition of the growth of A. flavus and 100% inhibition of the aflatoxins production at the concentrations of 200 µl/mL and 150 µl/mL respectively. The present biosynthetic method is a simple, cost-effective, eco-friendly, high yield, green and handy protocol capable of synthesizing ZnO NPs, which might have accomplished due to the activities of plant metabolites and phytochemicals available in the lemongrass leaves parenchyma. This study revealed that ZnO NPs have the potential to forbid the growth of A. flavus and its aflatoxins production. Hence, ZnO NPs could be used in the plant protection and as a preservative for safe storage of food commodities to prevent A. flavus contamination and aflatoxins poisoning in coming future.
    Keywords: Aflatoxin, Aspergillus Flavus, Green Synthesis, Lemongrass, Plant Fungal Pathogens, Plant Protection, ZnO Nanoparticles
  • Amit Kumar, Tarun Soota, Jitendra Kumar *

    Wire electric discharge machining (WEDM) is one of the advanced machining processes. Response surface methodology coupled with Grey relation analysis method has been proposed and used to optimise the machining parameters of WEDM. A face centred cubic design is used for conducting experiments on high speed steel (HSS) M2 grade workpiece material. The regression model of significant factors such as pulse-on time, pulse-off time, peak current, and wire feed is considered for optimising the responses variables material removal rate (MRR), surface roughness and Kerf width. The optimal condition of the machining parameter was obtained using the Grey relation grade. ANOVA is applied to determine significance of the input parameters for optimising the Grey relation grade.

    Keywords: Wire- cut, EDM, Response surface methodology, Grey relation analysis, WEDM
  • Jitendra Kumar, Nirjhar Roy, Ali Mostafaeipour *, Mojtaba Qolipour
    Supply chain management (SCM) addresses the management of materials and information across the entire chain from suppliers to producers, distributors, retailers, and customer. The theory of supply chain management suggests that lead time reduction is a pioneer to the use of market mediation to reduce transaction uncertainty in the chain, which can be conceptualized as the primary goal of supply chain management. In the past few decades, scholars gave ample attention about the impact of inventory on SCM. This paper relates to the development of a lot sizing model for a single component multiple delivery system with variable demand and lead time of a multinational transformer company. Two models and the modification were developed on the basis of the following assumptions. For first model distribution of demand is normal, distribution of procurement lead time is exponential and the quantity is coming in a single lot. For second model distribution of demand is normal distribution of ‘procurement’ and ‘administrative delay’ lead time is exponential and the quantity is coming in a single lot.
    Modification of the first model has been done by taking the effect of multiple deliveries in the models and correcting the Re-order point as obtained from the previous models. The results were observed by the second model and analysis has been done for different parametric conditions. The effect of multiple deliveries is also taken into account. The optimum re-order point and economic ordering quantity with various different inputs have been discussed.
    Keywords: SCM (Supply Chain Management), Lot size, Economic Order Quality (EOQ), Lead time, ROP (Re-order point)
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