Electrochemical aptasensor for sensitive detection of staphylococcal enterotoxin type A in milk and fruit juice.

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Title: Electrochemical aptasensor for sensitive detection of staphylococcal enterotoxin type A in milk and fruit juice.
Authors: Singh, Smriti1 (AUTHOR), Agrawal, Ravi Kant2 (AUTHOR), Nara, Seema1 (AUTHOR) seemanara@mnnit.ac.in
Source: Microchimica Acta. Oct2024, Vol. 191 Issue 10, p1-10. 10p.
Subjects: Atomic force microscopy, Square waves, Electrochemical sensors, Impedance spectroscopy, Cyclic voltammetry
Abstract: An aptamer-based electrochemical sensor for the sensitive detection of staphylococcal enterotoxin type A (SEA) is presented. The truncated aptamer AptSEA1.4 used in this work was screened using computational techniques, which reduced the cost of the SELEX screening process. The aptamer-SEA interactions were confirmed by employing circular dichroism (CD) and fluorescence spectroscopy. Afterwards, for developing an electrochemical aptasensor, a fabricated GNR/FTO aptasensor was prepared and characterized using scanning electron microscopy-energy-dispersive X-ray analysis (SEM–EDX), atomic force microscopy (AFM), cyclic voltammetry (CV), and square wave voltammetry (SWV). A detailed investigation of aptamer and SEA interaction in the presence of various experimental conditions was also conducted through SWV and electrochemical impedance spectroscopy (EIS). The aptamer exhibits a strong affinity for SEA, with a dissociation constant (Kd) of 19.93 nM. The aptasensor is sensitive, with a lower limit of detection of 12.44 pg mL−1. It has good stability, repeatability, and specificity and has displayed highly specific and sensitive detection SEA in spiked packaged mixed fruit juice and milk, with a recovery of 95–110%. The aptasensor has high promise for detecting SEA in other food items. [ABSTRACT FROM AUTHOR]
Copyright of Microchimica Acta is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Electrochemical aptasensor for sensitive detection of staphylococcal enterotoxin type A in milk and fruit juice.
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  Data: <searchLink fieldCode="AR" term="%22Singh%2C+Smriti%22">Singh, Smriti</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Agrawal%2C+Ravi+Kant%22">Agrawal, Ravi Kant</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nara%2C+Seema%22">Nara, Seema</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> seemanara@mnnit.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Microchimica+Acta%22">Microchimica Acta</searchLink>. Oct2024, Vol. 191 Issue 10, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Atomic+force+microscopy%22">Atomic force microscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Square+waves%22">Square waves</searchLink><br /><searchLink fieldCode="DE" term="%22Electrochemical+sensors%22">Electrochemical sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Impedance+spectroscopy%22">Impedance spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Cyclic+voltammetry%22">Cyclic voltammetry</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: An aptamer-based electrochemical sensor for the sensitive detection of staphylococcal enterotoxin type A (SEA) is presented. The truncated aptamer AptSEA1.4 used in this work was screened using computational techniques, which reduced the cost of the SELEX screening process. The aptamer-SEA interactions were confirmed by employing circular dichroism (CD) and fluorescence spectroscopy. Afterwards, for developing an electrochemical aptasensor, a fabricated GNR/FTO aptasensor was prepared and characterized using scanning electron microscopy-energy-dispersive X-ray analysis (SEM–EDX), atomic force microscopy (AFM), cyclic voltammetry (CV), and square wave voltammetry (SWV). A detailed investigation of aptamer and SEA interaction in the presence of various experimental conditions was also conducted through SWV and electrochemical impedance spectroscopy (EIS). The aptamer exhibits a strong affinity for SEA, with a dissociation constant (Kd) of 19.93 nM. The aptasensor is sensitive, with a lower limit of detection of 12.44 pg mL−1. It has good stability, repeatability, and specificity and has displayed highly specific and sensitive detection SEA in spiked packaged mixed fruit juice and milk, with a recovery of 95–110%. The aptasensor has high promise for detecting SEA in other food items. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Microchimica Acta is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00604-024-06666-w
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Square waves
        Type: general
      – SubjectFull: Electrochemical sensors
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      – SubjectFull: Impedance spectroscopy
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      – SubjectFull: Cyclic voltammetry
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      – TitleFull: Electrochemical aptasensor for sensitive detection of staphylococcal enterotoxin type A in milk and fruit juice.
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            NameFull: Singh, Smriti
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            NameFull: Agrawal, Ravi Kant
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            NameFull: Nara, Seema
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            – D: 01
              M: 10
              Text: Oct2024
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              Y: 2024
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