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Prem Chandra Pandey

Researcher at Shiv Nadar University

Publications -  99
Citations -  1879

Prem Chandra Pandey is an academic researcher from Shiv Nadar University. The author has contributed to research in topics: Cyclic voltammetry & Ormosil. The author has an hindex of 24, co-authored 81 publications receiving 1462 citations. Previous affiliations of Prem Chandra Pandey include Birla Institute of Technology, Mesra & Tel Aviv University.

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Journal ArticleDOI

Sensitivity, Selectivity and Reproducibility of Some Mediated Electrochemical Biosensors/sensors

TL;DR: In this article, the mediated electrochemical response of tetracyanoquinodimethane (TCNQ), tetrahiafulvalene (TTF), and dimethyl ferrocene (DMFc) modified paste electrodes are reported based on cyclic voltammetry and amperometric measurements.
Journal ArticleDOI

An amperometric flow injection analysis enzyme sensor for sucrose using a tetracyanoquinodimethane modified graphite paste electrode

TL;DR: In this article, a flow injection analysis (FIA) enzyme sensor for sucrose is described, where the enzymes invertase and mutarotase are covalently coupled to controlled pore glass (CPG) particles and placed in a packed bed reactor.
Journal ArticleDOI

Efficient Recognition of Forest Species Biodiversity by Inventory-Based Geospatial Approach Using LISS IV Sensor

TL;DR: In this paper, the authors used field-based surveys along with remote sensing technologies using a regression model to estimate and recognize different species diversity in Sariska Tiger Reserve, where a positive correlation was found in the infrared band even negative correlation has been found in other bands.
Book ChapterDOI

Remote Estimation of Land Surface Temperature for Different LULC Features of a Moist Deciduous Tropical Forest Region

TL;DR: In this paper, the potential of Landsat TM thermal sensor is investigated to retrieve land surface temperature (LST) using spectral index (NDVI), spectral radiance and surface emissivity for a moist deciduous tropical forest area of Munger forests (Bihar, India).
Journal ArticleDOI

Geospatial Approach to Assess the Impact of Nutrients on Rice Equivalent Yield Using MODIS Sensors’-Based MOD13Q1-NDVI Data

TL;DR: In this article, the power of geomatics, to retrieve the synoptic and substantial changes in cropping pattern was presented and interpretations lead to the evaluation of the contemporaneous cropping systems.