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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biosciences Biotechnology Research Asia</journalTitle>
          <issn>0973-1245</issn>
            <publicationDate>2015-12-25</publicationDate>
    
        <volume>12</volume>
        <issue>3</issue>

 
    <startPage>1913</startPage>
    <endPage>1922</endPage>

	 
      <doi>10.13005/bbra/1857</doi>
        <publisherRecordId>4617</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Development of a Biosensor for the Prediction and Early Detection of Cardiovascular Diseases Based on Saliva Composition Analysis</title>

    <authors>
	 


      <author>
       <name>Victor Aleksandrovich Stupin</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Ekaterina Vladimirovna Silina</name>


		
	<affiliationId>2</affiliationId>

      </author>
    

	 


      <author>
       <name>Dmitry Valerievich Kolesov</name>

		
	<affiliationId>3</affiliationId>
      </author>
    

	 


      <author>
       <name>Igor Vladimirovich Yaminsky</name>

		
	<affiliationId>4</affiliationId>
      </author>
    


	 


      <author>
       <name>Valery Semenovich Shalygin</name>

		
	<affiliationId>5</affiliationId>
      </author>
    


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Pirogov´s Russian National Research Medical University , Ostrovityanova str, 1, Moscow, 117997, Russia</affiliationName>
    

		
		<affiliationName affiliationId="2">I.M. Sechenov First Moscow State Medical University, Trubetskaya str, 8, Moscow, 119991, Russia</affiliationName>
    
		
		<affiliationName affiliationId="3">Ohe Institute of General Pathology and Pathophysiology, Baltiyskaya st., 8, Moscow, 125315, Russia </affiliationName>
    
		
		<affiliationName affiliationId="4">M.V. Lomonosov Moscow State University, Leninskiye Gory, 1, GSP-1, Moscow, 119991, Russia</affiliationName>
    
		
		<affiliationName affiliationId="5">Moscow Aviation Institute (National Research University) Volokolamsk Highway, d. 4, Moscow, A-80, GSP-3, 125993</affiliationName>
    
		
	  </affiliationsList>






    <abstract language="eng">The aim of the study was the development of a biosensor for prediction and early detection of diseases, including myocardial infarction, based on the analysis of human saliva composition with implanted biosensor devices. For the implementation of the stated objective a device enabling real-time detection of small concentrations of proteins in specific liquid mediums was developed. An evaluation of biosensor sensitivity was performed experimentally with cardiac marker – C-reactive protein, which demonstrates an increase of concentration in all non-specific inflammatory reactions, including myocardial infarction and other acute cardiovascular accidents. A receptor layer was developed based on monoclonal antibodies, enabling specific binding of C-reactive protein, generating lateral strain in the layer. The feasibility of C-reactive protein detection in fluid flow using microcantilever sensors was demonstrated. To allow the possibility of sensor device implantation into oral cavity for continuous monitoring and early detection of diseases based on human saliva composition, a concept and prototype of microcapsule transducer was developed. The transducer constitutes a microaspirator pump with the feature of operator chamber rinsing, which provides circulation of biological fluid samples
in the implanted device.</abstract>

    <fullTextUrl format="html">https://www.biotech-asia.org/vol12no3/development-of-a-biosensor-for-the-prediction-and-early-detection-of-cardiovascular-diseases-based-on-saliva-composition-analysis/</fullTextUrl>



      <keywords language="eng">
        <keyword>cantilever sensor; saliva; cardiac markers; micropump; C-reactive protein; constant monitoring</keyword>
      </keywords>

  </record>
</records>