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Advanced quantitative microbiology f...

Peleg, Micha.

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Advanced quantitative microbiology for foods and biosystems = models for predicting growth and inactivation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advanced quantitative microbiology for foods and biosystems / Micha Peleg.
Reminder of title:	models for predicting growth and inactivation /
Author:	Peleg, Micha.
Published:	Boca Raton :Taylor & Francis, : 2006.,
Description:	417 p. :ill. ;24 cm.
Series:	CRC series in contemporary food science
Subject:	Biological systems - Mathematical models. -
Online resource:	http://www.taebcnetbase.com/ejournals/books/book_km.asp?id=4758Click here for the electronic version
ISBN:	0849336457 (alk. paper)

Advanced quantitative microbiology for foods and biosystems = models for predicting growth and inactivation /
Peleg, Micha.

Advanced quantitative microbiology for foods and biosystems models for predicting growth and inactivation /[electronic resource] :Micha Peleg. - Boca Raton :Taylor & Francis,2006. - 417 p. :ill. ;24 cm. - CRC series in contemporary food science.

Includes bibliographical references (p. 379-390) and index.

ISBN: 0849336457 (alk. paper)

LCCN: 2005046679Subjects--Topical Terms:

660943
Biological systems
--Mathematical models.

LC Class. No.: QR115 / .P45 2006

Dewey Class. No.: 664.001/579

Advanced quantitative microbiology for foods and biosystems = models for predicting growth and inactivation /
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050 0 0 $a QR115 $b .P45 2006
082 0 0 $a 664.001/579 $2 22
100 $a Peleg, Micha. $3 916314
245 1 0 $a Advanced quantitative microbiology for foods and biosystems $h [electronic resource] : $b models for predicting growth and inactivation / $c Micha Peleg.
260 $a Boca Raton : $c 2006. $b Taylor & Francis,
300 $a 417 p. : $b ill. ; $c 24 cm.
440 0 $a CRC series in contemporary food science
504 $a Includes bibliographical references (p. 379-390) and index.
650 $a Biological systems $x Mathematical models. $3 660943
650 $a Food $x Microbiology $x Mathematical models. $3 916315
650 $a Microbial growth $x Mathematical models. $3 708631
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