Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Identification of monoclonal antibod...
~
Dhiman, Nivedita.
Linked to FindBook
Google Book
Amazon
博客來
Identification of monoclonal antibodies to be used in biosensors to detect Listeria monocytogenes and Salmonella.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Identification of monoclonal antibodies to be used in biosensors to detect Listeria monocytogenes and Salmonella./
Author:
Dhiman, Nivedita.
Description:
110 p.
Notes:
Adviser: Jianghong Meng.
Contained By:
Masters Abstracts International45-02.
Subject:
Agriculture, Food Science and Technology. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1439141
ISBN:
9780542959875
Identification of monoclonal antibodies to be used in biosensors to detect Listeria monocytogenes and Salmonella.
Dhiman, Nivedita.
Identification of monoclonal antibodies to be used in biosensors to detect Listeria monocytogenes and Salmonella.
- 110 p.
Adviser: Jianghong Meng.
Thesis (M.S.)--University of Maryland, College Park, 2006.
Food industry needs quick and reliable methods to make sure the food supply is not contaminated with pathogens. Monoclonal antibodies specific to Listeria monocytogenes and Salmonella were screened to choose the ones most suited for biosensor development to detect these bacteria in foods. Out of the eight antibodies procured for L. monocytogenes, C11E9 was able to recognize both L. monocytogenes and L. innocua with no cross-reactivity to any of the gram-negative bacteria tested. It however reacted with a Bacillus strain and a Staphylococcus strain. For the monoclonal antibodies specific to Salmonella sp., IFR0111 reacted with 48% of the Salmonella strains tested, that included 20 different serotypes. It did not cross-react with any of the gram-negative strains tested but showed reactivity to a Staphylococcus aureus strain. Further studies are required to test the sensitivity of these monoclonal antibodies to correctly determine their potential to be used in biosensors.
ISBN: 9780542959875Subjects--Topical Terms:
1017813
Agriculture, Food Science and Technology.
Identification of monoclonal antibodies to be used in biosensors to detect Listeria monocytogenes and Salmonella.
LDR
:01912nam 2200289 a 45
001
967750
005
20110915
008
110915s2006 eng d
020
$a
9780542959875
035
$a
(UMI)AAI1439141
035
$a
AAI1439141
040
$a
UMI
$c
UMI
100
1
$a
Dhiman, Nivedita.
$3
1291620
245
1 0
$a
Identification of monoclonal antibodies to be used in biosensors to detect Listeria monocytogenes and Salmonella.
300
$a
110 p.
500
$a
Adviser: Jianghong Meng.
500
$a
Source: Masters Abstracts International, Volume: 45-02, page: 0688.
502
$a
Thesis (M.S.)--University of Maryland, College Park, 2006.
520
$a
Food industry needs quick and reliable methods to make sure the food supply is not contaminated with pathogens. Monoclonal antibodies specific to Listeria monocytogenes and Salmonella were screened to choose the ones most suited for biosensor development to detect these bacteria in foods. Out of the eight antibodies procured for L. monocytogenes, C11E9 was able to recognize both L. monocytogenes and L. innocua with no cross-reactivity to any of the gram-negative bacteria tested. It however reacted with a Bacillus strain and a Staphylococcus strain. For the monoclonal antibodies specific to Salmonella sp., IFR0111 reacted with 48% of the Salmonella strains tested, that included 20 different serotypes. It did not cross-react with any of the gram-negative strains tested but showed reactivity to a Staphylococcus aureus strain. Further studies are required to test the sensitivity of these monoclonal antibodies to correctly determine their potential to be used in biosensors.
590
$a
School code: 0117.
650
4
$a
Agriculture, Food Science and Technology.
$3
1017813
650
4
$a
Biology, Microbiology.
$3
1017734
650
4
$a
Health Sciences, Immunology.
$3
1017716
690
$a
0359
690
$a
0410
690
$a
0982
710
2 0
$a
University of Maryland, College Park.
$3
657686
773
0
$t
Masters Abstracts International
$g
45-02.
790
$a
0117
790
1 0
$a
Meng, Jianghong,
$e
advisor
791
$a
M.S.
792
$a
2006
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1439141
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9126404
電子資源
11.線上閱覽_V
電子書
EB W9126404
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login