東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Microbial and sensory assessment of ...

Korel, Figen.

FindBook

Google Book

Amazon

博客來

Microbial and sensory assessment of milk with an electronic nose.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Microbial and sensory assessment of milk with an electronic nose./
作者:	Korel, Figen.
面頁冊數:	176 p.
附註:	Chair: Murat O. Balaban.
Contained By:	Dissertation Abstracts International61-06B.
標題:	Agriculture, Food Science and Technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9976562
ISBN:	0599823739

Microbial and sensory assessment of milk with an electronic nose.
Korel, Figen.

Microbial and sensory assessment of milk with an electronic nose. - 176 p.

Chair: Murat O. Balaban.

Thesis (Ph.D.)--University of Florida, 2000.

Important psychrotrophs encountered in raw milk are Gram-negative rods with <italic>Pseudomonas</italic> spp. comprising 65 to 70% of the genera. Some Gram-positive bacteria are also present, with <italic>Bacillus</italic> being the most important genera. Spoilage bacteria found in raw milk produce heat-resistant lipases and proteinases that are not destroyed by pasteurization. In general, microbial counts in excess of 1 × 10<super>6</super> cfu/ml are enough to produce defects in milk.

ISBN: 0599823739Subjects--Topical Terms:

1017813
Agriculture, Food Science and Technology.

Microbial and sensory assessment of milk with an electronic nose.
LDR:03380nam 2200313 a 45 001 929950
005 20110427
008 110427s2000 eng d
020 $a 0599823739
035 $a (UnM)AAI9976562
035 $a AAI9976562
040 $a UnM $c UnM
100 1 $a Korel, Figen. $3 1253432
245 1 0 $a Microbial and sensory assessment of milk with an electronic nose.
300 $a 176 p.
500 $a Chair: Murat O. Balaban.
500 $a Source: Dissertation Abstracts International, Volume: 61-06, Section: B, page: 2829.
502 $a Thesis (Ph.D.)--University of Florida, 2000.
520 $a Important psychrotrophs encountered in raw milk are Gram-negative rods with <italic>Pseudomonas</italic> spp. comprising 65 to 70% of the genera. Some Gram-positive bacteria are also present, with <italic>Bacillus</italic> being the most important genera. Spoilage bacteria found in raw milk produce heat-resistant lipases and proteinases that are not destroyed by pasteurization. In general, microbial counts in excess of 1 × 10<super>6</super> cfu/ml are enough to produce defects in milk.
520 $a Serious off-flavors in milk, such as bitter, putrid, unclean, rancid, and sour, have been associated with psychrotrophic microorganisms. Traditional microbial evaluation of milk is time consuming. Faster methods are desirable. The electronic nose is a promising technology that can be used as a fast screening tool. It enhances objectivity of flavor evaluation, requires minimal sample preparation, generates reproducible and reliable results, is easy to operate, and results can be obtained rapidly. The objectives of this study
520 $a were to test an electronic nose for odor assessment of milk inoculated with <italic>Pseudomonas fluorescens</italic> and/or <italic>Bacillus coagulans </italic>, to correlate microbial loads and sensory results with electronic nose readings, and to attempt to predict the shelf life based on microbial loads of milk samples in an accelerated study.
520 $a Parmalat<super>®</super> whole, reduced-fat, and fat-free milk were used. Sterile milk samples were inoculated with <italic>P. fluorescens </italic> and/or <italic>B. coagulans</italic>, stored at 1.7°, 7.2°, and 12.8°C, and evaluated at days 0, 3, 5, 7, and 10 using an electronic nose. Counts for <italic>P. fluorescens</italic> were performed using aerobic plate count 3M Petrifilm. Those for <italic>B. coagulans</italic> were performed using nutrient agar plates. The odor of milk samples was evaluated by a 10-member untrained sensory panel. Electronic nose readings, microbial counts, and sensory data were analyzed using discriminant function analysis. The electronic nose discriminated differences in odor due to microbial load, storage temperature, and sensory data. This research demonstrated the potential use of electronic nose to detect odor differences in milk due to microbial loads. Electronic nose readings can be correlated with sensory panel perception. This may lead to a new rapid method for determining sensory evaluation and microbial loads of milk.
590 $a School code: 0070.
650 4 $a Agriculture, Food Science and Technology. $3 1017813
650 4 $a Biology, Microbiology. $3 1017734
690 $a 0359
690 $a 0410
710 2 0 $a University of Florida. $3 718949
773 0 $t Dissertation Abstracts International $g 61-06B.
790 $a 0070
790 1 0 $a Balaban, Murat O., $e advisor
791 $a Ph.D.
792 $a 2000
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9976562