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Bhupinder Singh Sekhon

Researcher at Punjab Agricultural University

Publications -  24
Citations -  2253

Bhupinder Singh Sekhon is an academic researcher from Punjab Agricultural University. The author has contributed to research in topics: Drug delivery & Nanomedicine. The author has an hindex of 18, co-authored 24 publications receiving 1903 citations. Previous affiliations of Bhupinder Singh Sekhon include Department of Biotechnology.

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Nanotechnology in agri-food production: an overview.

TL;DR: Experts feel that the potential benefits of nanotechnology for agriculture, food, fisheries, and aquaculture need to be balanced against concerns for the soil, water, and environment and the occupational health of workers.
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Food nanotechnology - an overview.

TL;DR: Nano food packaging materials may extend food life, improve food safety, alert consumers that food is contaminated or spoiled, repair tears in packaging, and even release preservatives to extend the life of the food in the package.
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Updates on Aldose Reductase Inhibitors for Management of Diabetic Complications and Non-diabetic Diseases.

TL;DR: Adapting ARIs could prevent sepsis complications, prevent angiogenesis, ameliorate mild or asymptomatic diabetic cardiovascular autonomic neuropathy and appear to be a promising strategy for the treatment of endotoxemia and other ROS-induced inflammatory diseases.

An overview of advances in the standardization of herbal drugs

TL;DR: An overview covering various techniques employed in extraction and characterization of herbal medicines as well as herbal nanomedicines standardization is reported, with potential of metabolomics in the development of improved phytotherapeutic agents and capillary electrophoresis and polarographic techniques contributions towards standardization of herbal drugs.
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Reactive Oxygen Species and Antioxidants in Plants: An Overview

TL;DR: Various aspects relating to sensors for ROS and signaling role of ROS in plants, improvement of antioxidant systems in transgenic plants and functional genomics approaches used to unravel the reactive oxygen gene network has been discussed.