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    <link>http://heritageit.dspaces.org/jspui/handle/123456789/9559</link>
    <description />
    <pubDate>Sun, 13 Sep 2026 18:44:13 GMT</pubDate>
    <dc:date>2026-09-13T18:44:13Z</dc:date>
    <item>
      <title>Low-cost graphite and double-gate FET-based label-free biosensor for dopamine sensing to detect neural diseases</title>
      <link>http://heritageit.dspaces.org/jspui/handle/123456789/10945</link>
      <description>Title: Low-cost graphite and double-gate FET-based label-free biosensor for dopamine sensing to detect neural diseases
Authors: Deepti; Kolay, Anirban; Majumder, Subrata; Kumar, Amitesh
Abstract: The manuscript proposes biosensors for detecting different concentrations of neurotransmitters named dopamine, which have a critical role in the human body's neurological, hormonal, and renal systems. In this work, the primary focus is to detect dopamine, whose disorder levels cause many neurological disabilities such as Alzheimer's and Parkinson's disease. In the present work, the simulation of two different structures has been studies: a) a graphite-based structure and b) a double gate TFET structure for detecting dopamine using TCAD Silvaco software. The proposed device utilizes a graphite-based structure with respective work functions of the used materials and studies the change in ON current (ION sensing factor is calculated for simulation study for VGS = 0.8 V). The cavity is increased to 800 µm for graphite-based biosensors for improved sensitivity. The graphite-based biosensors can detect up to 13.3 nM concentration of dopamine. Experimental electrochemical analysis results verify the proposed graphite-based biosensors' sensitivity for different dopamine concentrations. Another double gate field effect transistor (FET) biosensor has also been investigated for the detection of dopamine. The effective dielectric constant has been calculated using Bruggeman's model to check the sensitivity of double gate FET-based sensors for varying dopamine and uric acid concentrations. The sensitivity is increased with the increase of dopamine concentration percentage.</description>
      <pubDate>Sat, 11 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://heritageit.dspaces.org/jspui/handle/123456789/10945</guid>
      <dc:date>2025-01-11T00:00:00Z</dc:date>
    </item>
    <item>
      <title>A Pilot Study on Presence of Parkinson’s Disease Risk Gene PARK7 in Population of West Bengal, India: A Preliminary Observation</title>
      <link>http://heritageit.dspaces.org/jspui/handle/123456789/10655</link>
      <description>Title: A Pilot Study on Presence of Parkinson’s Disease Risk Gene PARK7 in Population of West Bengal, India: A Preliminary Observation
Authors: Chatterjee, Debasmita; Paira, Krishnendu; Singh, Banhishikha; Das, Satadal
Abstract: ABSTRACT&#xD;
Introduction: The neurodegenerative Parkinson’s Disease (PD) is associated with different risk genes along with some environmental factors. Till date, there are few identified genes which play a pivotal role in the early onset of PD among the general population.&#xD;
Aim: To screen the presence of different risk genes of Parkinson’s disease along with associated environmental factors among randomly selected 62 urban participants. Materials and Methods: The present randomised control trial single blind pilot study was conducted in the Department of Biotechnology, Heritage Institute of Technology, Kolkata, West Bengal, India, from March 2021 to June 2021. The study participants were informed about the study and blood was collected from them. The genomic Deoxyribonucleic Acid(DNA) extraction was carried out following phenol chloroform extraction protocol and Polymerase Chain Reaction (PCR) was done with specific primers of the risk genes namely, Parkinson Disease 1 (PARK1) Alpha-synuclein (α-synuclein),&#xD;
Parkinson Disease 2 (PARK2) (Parkin), Parkinson Disease Protein 7 (PARK7) or DJ -1 and PINK 1. Protein Deglycase-1 (DJ-1) and PTEN Induced Kinase 1 (PINK1). The statistical analysis of the findings was done using Statistical package for the Social Sciences (SPSS) software version 21.0.&#xD;
Results: Out of 62 particpants, 47 were males and 15 were females and the age distribution of the participants was in between 21 years to &gt;60 years. After obtaining specific band in agarose gel electrophoresis, 35 positive cases of PARK7 gene and one positive case of PARK2 gene were identified.&#xD;
Conclusion: There was a statistically significant association of different bacterial and viral infections with the PARK7 gene positive cases. PARK7 gene responsible for early onset of PD is significantly prevalent in the general population of West Bengal.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://heritageit.dspaces.org/jspui/handle/123456789/10655</guid>
      <dc:date>2023-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>A Novel Technique of Black Tea Quality Prediction Using Electronic Tongue Signals</title>
      <link>http://heritageit.dspaces.org/jspui/handle/123456789/5955</link>
      <description>Title: A Novel Technique of Black Tea Quality Prediction Using Electronic Tongue Signals
Authors: Saha, Pradip; Ghorai, Santanu; Tudu, Bipan; Bandyopadhyay, Rajib; Bhattacharyya, Nabarun
Abstract: Electronic tongue (ET) system is under extensive development for automatic analysis and prediction of quality of different industrial end products. Each sensor in an ET system generates a specific electronic response in presence of different organic or inorganic compounds in the sample. The vital part of the ET system is the discrimination of the complex pattern generated by the sensor array. In this paper, a novel technique of black tea quality estimation is using the ET signals. A moving window is used to extract discrete wavelet transform coefficients from the transient response of ET. The energy in different frequency bands are used as the features of the ET signal for different positions of the window. The prediction of a new sample is performed by the highest score obtained by a particular class by testing all the patterns generated by windowing ET signal. The performance of the proposed technique is verified to estimate black tea quality using two kernel classifiers, namely support vector machine and recently proposed vector valued regularized kernel function approximation method. High prediction accuracy of both the classifiers confirms the effectiveness of the proposed technique of tea quality estimation using ET signals.</description>
      <pubDate>Wed, 01 Oct 2014 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://heritageit.dspaces.org/jspui/handle/123456789/5955</guid>
      <dc:date>2014-10-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Real Time Design and Implementation of Brushless DC Motor Drive based Continuous Positive Airway Pressure (CPAP) based Respirator System for Patients with Chronic Obstructive Pulmonary Diseases (COPD)</title>
      <link>http://heritageit.dspaces.org/jspui/handle/123456789/5954</link>
      <description>Title: Real Time Design and Implementation of Brushless DC Motor Drive based Continuous Positive Airway Pressure (CPAP) based Respirator System for Patients with Chronic Obstructive Pulmonary Diseases (COPD)
Authors: Mitra, Arunava; Chowdhury, Debjyoti; Chattopadhyay, Madhurima
Abstract: This paper aims at designing a cost-effective, portable and easy-to-use brushless DC (BLDC) motor driven continuous positive airway pressure (CPAP) based respirator for patients with acute breathing trouble. The proposed system is intended to facilitate continuous monitoring of patient's condition with positive airway support provided by a brushless DC (BLDC) motor driven respirator blower fan by measuring Respiration&#xD;
Rate (RR). To measure the respiration rate, a pair of capacitive type respiration rate sensors are mounted below Right Nostril (RN) and Left Nostril (LN), in such a way that the nasal airflow during inspiration and expiration impinge on the sensor diaphragms directly. Due to irregularities in nasal airflow in some respiratory diseases, the respiration rate (RR) varies from the normal rate (12-20). Thus, a supporting airflow regulatory system has been designed to reduce abnormalities in respiration rate (RR). In this case a low cost&#xD;
sensorless commutated BLDC drive is implemented with a three phase inverter and microcontroller by using feedback of rotor rpm. A suitable cost effective algorithm has also been developed to generate an appropriate six transistor switching sequence to commute the BLDC motor according to the RR of the subject. The characteristics of the implemented drive give satisfactory outputs over a wide range of controlled speed variation from 200 to 2440 rpm which requires a match with the patient’s breathing demand. The effectiveness of the designed system is populated by the real time experimental results.</description>
      <pubDate>Thu, 01 Jan 2015 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://heritageit.dspaces.org/jspui/handle/123456789/5954</guid>
      <dc:date>2015-01-01T00:00:00Z</dc:date>
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