Ashwani Kumar Dubey

Designing of a Microelectrode Sensor-Based Label Free Milk Adulteration Testing System

A novel hand held micro-electrode sensor based on a label free impedance spectroscopy is fabricated for the detection of adulteration in milk. The results showed remarkable impedance change for different concentrations of starch and detergent in the milk sample in the frequency range of 0.05–5 kHz. The impedance of reference milk sample at resonant frequency 4.75 kHz was found to be 8.01E <inline-formula> <tex-math notation=LaTeX>

Adaptive thresholding based segmentation of infected portion of pome fruit

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A micro-controller based approach for digital microfluidic sensors

</tex-math></inline-formula> and that of model milk sample adulterated with 10% (w/v) detergent was found to be 56% of the original value while the impedance of milk sample adulterated with 10% (w/v) starch was found to be ~160% of the original value of 8.01E <inline-formula> <tex-math notation=LaTeX>

MnO 2 Based Bisphenol-A Electrochemical Sensor Using Micro-Fluidic Platform

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Naked-eye quantitative assay on paper device for date rape drug sensing via smart phone APP

</tex-math></inline-formula>. Also, it was found that the change in the concentration of starch and detergent in milk samples changes the overall impedance of the sensor remarkably. The measured impedance values were inversely proportional to the concentration of detergent and directly proportional to the concentration of starch in the model milk samples. The observed trend is explained and highlights the selectivity and sensitivity of the device. The device requires only 0.2 mL of the sample and gives response within 10 s. The real and simulated data were fitted in an ac equivalent circuit model of the device operation.

Application of Non-Linear Gaussian Regression-Based Adaptive Clock Synchronization Technique for Wireless Sensor Network in Agriculture

Abstract In this paper, we elaborate the segmentation of the infected portion of pome fruits. An adaptive thresholding method is applied on pears. Other segmentation methods such as OTSU, region growing, merge and split, greedy snake etc are available. But the main issue is the fixed threshold value for thresholding causes some of the information loss due to improper segmentation. A multi-level thresholding algorithm is developed in this paper. An improved thresholding algorithm not only reduces the processing time but, also improves the segmentation technique. The region of interest after segmentation is then further analyzed to identify the defected portion of pome fruit.

A comparative approach for image segmentation to identify the defected portion of apple

Abstract This work is oriented towards the study of digital microfluidic (DMF) devices. A DMF device is a liquid-droplets-handling platform with varied applications in the fields of medical diagnostics, drug discovery, chemical analysis, environmental monitoring, and basic scientific research. These operations can be performed in a rapid, low-cost, portable, and reliable environment using DMF devices. Two of the important elements of DMF devices are electro-wetting on dielectric phenomenon and hydrophobicity. Under an applied voltage of either AC or DC, the electro-wetting effect induces a reduction in the contact angle of the droplet with the hydrophobic surface. This enables manipulation of motion and position of droplets on the hydrophobic surface. In this work, the actuation of droplets on an open DMF device with a single array of electrodes is carried out. The fabrication of DMF plate is carried out on a copper covered plate by patterning using black tapes and etching using etchants. The circuit is arranged using PCB, jumper wires, 8-channel relay, 9V battery, ac-power regulator and a microcontroller (Arduino/Genuino UNO).