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Immunomagnetic particles and microfl...

Varshney, Madhukar.

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Immunomagnetic particles and microfluidics based biosensors for rapid detection of foodborne pathogenic bacteria.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Immunomagnetic particles and microfluidics based biosensors for rapid detection of foodborne pathogenic bacteria./
Author:	Varshney, Madhukar.
Description:	228 p.
Notes:	Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: .
Contained By:	Dissertation Abstracts International68-07B.
Subject:	Agriculture, Food Science and Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273780
ISBN:	9780549141808

Immunomagnetic particles and microfluidics based biosensors for rapid detection of foodborne pathogenic bacteria.
Varshney, Madhukar.

Immunomagnetic particles and microfluidics based biosensors for rapid detection of foodborne pathogenic bacteria. - 228 p.

Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: .

Thesis (Ph.D.)--University of Arkansas, 2006.

This research investigated immunomagnetic particles and microfluidics based impedance and optical biosensors for detection of foodborne pathogenic bacteria. Magnetic nanoparticles-antibody conjugates (MNAC) based sampling method was developed for the separation and concentration of Escherichia coli O157:H7 in food samples. In pure culture of E. coli O157:H7, MNAC presented minimum capture efficiency (CE) of 94% for bacterial cells ranging from 1.6 x 101 to 7.2 x 10 7 CFU ml-1 with an immunoreaction time of 15 min without any enrichment. There was no significant effect (P > 0.05) of mixing on the capture of bacterial cells by MNAC. A label-free, microfluidics and interdigitated array microelectrode (IDAM) based impedance biosensor in combination with MNAC immunoseparation was developed for detection of Escherichia coli O157:H7 in food samples. Flow cell with embedded IDAM was studied to improve the detection limit as compared to open IDAM chip. The open IDAM chip was successfully used for the detection of 7 x 102 and 6 x 103 cells of E. coli O157:H7 in pure culture and ground beef samples in a detection volume of 2 mul, respectively. Using a flow cell with embedded IDAM, a minimum of 1.6 x 102 and 1.2 x 103 cells of E. coli O157:H7 was detected in pure culture and ground beef samples, respectively, in a detection volume of 60 nl. The total detection time from sampling to measurement in both cases was 35 min. In order to detect low numbers of cells, the bacterial cell growth was measured inside a double IDAM based flow cell. The system could detect a range of E. coli O157:H7 from 8.0 to 8.2 x 108 CFU ml-1 after an enrichment time of 14.7 and 0.8 h, respectively.

ISBN: 9780549141808Subjects--Topical Terms:

1017813
Agriculture, Food Science and Technology.

Immunomagnetic particles and microfluidics based biosensors for rapid detection of foodborne pathogenic bacteria.
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100 1 $a Varshney, Madhukar. $3 1924357
245 1 0 $a Immunomagnetic particles and microfluidics based biosensors for rapid detection of foodborne pathogenic bacteria.
300 $a 228 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: .
500 $a Adviser: Yanbin Li.
502 $a Thesis (Ph.D.)--University of Arkansas, 2006.
520 $a This research investigated immunomagnetic particles and microfluidics based impedance and optical biosensors for detection of foodborne pathogenic bacteria. Magnetic nanoparticles-antibody conjugates (MNAC) based sampling method was developed for the separation and concentration of Escherichia coli O157:H7 in food samples. In pure culture of E. coli O157:H7, MNAC presented minimum capture efficiency (CE) of 94% for bacterial cells ranging from 1.6 x 101 to 7.2 x 10 7 CFU ml-1 with an immunoreaction time of 15 min without any enrichment. There was no significant effect (P > 0.05) of mixing on the capture of bacterial cells by MNAC. A label-free, microfluidics and interdigitated array microelectrode (IDAM) based impedance biosensor in combination with MNAC immunoseparation was developed for detection of Escherichia coli O157:H7 in food samples. Flow cell with embedded IDAM was studied to improve the detection limit as compared to open IDAM chip. The open IDAM chip was successfully used for the detection of 7 x 102 and 6 x 103 cells of E. coli O157:H7 in pure culture and ground beef samples in a detection volume of 2 mul, respectively. Using a flow cell with embedded IDAM, a minimum of 1.6 x 102 and 1.2 x 103 cells of E. coli O157:H7 was detected in pure culture and ground beef samples, respectively, in a detection volume of 60 nl. The total detection time from sampling to measurement in both cases was 35 min. In order to detect low numbers of cells, the bacterial cell growth was measured inside a double IDAM based flow cell. The system could detect a range of E. coli O157:H7 from 8.0 to 8.2 x 108 CFU ml-1 after an enrichment time of 14.7 and 0.8 h, respectively.
520 $a A chemiluminescence biosensing method combined with microfluidic stepped filter-biochip and immunomagnetic microbeads was investigated and evaluated for detection of E. coli O157:H7. Horseradish peroxidase enzyme labeled anti-E. coli antibodies were used for the generation of chemiluminescence signal. With multi-batch sampling, the filter biochip could detect as few as 34 cells of E. coli O157:H7 inside the reaction microchamber of 12 nl. The total detection time was 90 min.
520 $a Microfluidics and immunomagnetic separation were effectively synergized for the detection of low numbers of E. coli O157:H7. Moreover, microfluidics based biosensors have the potential to be developed into hand-hold or portable biosensors.
590 $a School code: 0011.
650 4 $a Agriculture, Food Science and Technology. $3 1017813
650 4 $a Engineering, Agricultural. $3 1019504
650 4 $a Health Sciences, Public Health. $3 1017659
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710 2 0 $a University of Arkansas. $3 1017562
773 0 $t Dissertation Abstracts International $g 68-07B.
790 1 0 $a Li, Yanbin, $e advisor
790 $a 0011
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273780