國立虎尾科技大學 |

A Multi-Omic Approach to Food Spoilage and Nutritional Composition Within a Food Matrix.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A Multi-Omic Approach to Food Spoilage and Nutritional Composition Within a Food Matrix./
作者:	Porter, Kate.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	306 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
Contained By:	Dissertations Abstracts International85-04B.
標題:	Adenosine. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30614058
ISBN:	9798380480987

A Multi-Omic Approach to Food Spoilage and Nutritional Composition Within a Food Matrix.
Porter, Kate.

A Multi-Omic Approach to Food Spoilage and Nutritional Composition Within a Food Matrix. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 306 p.

Source: Dissertations Abstracts International, Volume: 85-04, Section: B.

Thesis (Ph.D.)--University of Northumbria at Newcastle (United Kingdom), 2022.

This item must not be sold to any third party vendors.

Foods are subject to microbiological and physiochemical alterations during preparation that influence the shelf-life, but the comprehensive nutritional composition of food remains unassessed. At present, food deterioration is determined using techniques based on microbial and physiochemical assessments that are both outdated and lacking sensitivity. However, advances in -Omic technologies enables a greater understanding of bacterial dynamics and spoilage mechanisms.In this study, a novel multi-omic characterisation of spoilage in a commercially available vegetable matrix was performed. To profile spoilage the vegetable matrix was stored for 5-days under baseline condition (20 °C) and a series of conditions composing of various temperature, gas composition and pH environments. The B-vitamin composition was determined through the development of an efficient analytical method which showed excellent linearity (r 2=0.98-0.99), reproducibility (intra-day=%CV <7) and low detection (2.4-9.0 ng/mL) and quantification limits (8-30 ng/mL).Amplicon sequencing revealed the genera Lactococcus, Leuconostoc and Yersinia were responsible for spoilage under baseline conditions. However, overall bacterial dynamics were dependent on the storage condition, for example storage in air promoted Bacillus. Storage at different temperatures 7 °C and 37 °C promoted Pseudomonas and Bacillus alongside lactic acid bacteria respectively. Amplicon sequencing was complemented with untargeted metabolite profiling of volatile and non-volatile metabolites which highlighted metabolites linked to freshness (e.g. glutathione, adenosine 5’monophosphate, arginine) or spoilage (e.g. hypoxanthine and biogenic amines). This further showed metabolic pathways such as purine, glutathione, arginine and proline metabolism were pathways involved in the spoilage of the vegetable matrix. The main volatile groups that changed during storage included, aldehydes, alkanes, alcohols, free fatty acids (FFAs), ketones and monoterpenoids. However, metabolites were shown to be dependent on microbial load and the bacterial communities present. Furthermore, this research highlighted a relationship between B-vitamins and spoilage activity. The content of riboflavin and thiamine reduced by 85.2% and 41% respectively, and nicotinamide was fully exhausted when growth ofLactococcus, Leuconostoc and Yersinia reached spoilage levels (2.105 x 108 CFU/g). This relationship was also influenced by the storage conditions, but in all conditions where growth of microorganisms reached 107 -108CFU/g, nicotinamide was depleted. Therefore, nicotinamide has the potential to be a marker of product freshness and on-going spoilage.In conclusion, this comprehensive -Omic evaluation of food spoilage has provided novel findings regarding food spoilage dynamics that could inform future studies into food spoilage detection and shelf-life extension.

ISBN: 9798380480987Subjects--Topical Terms:

788963
Adenosine.

A Multi-Omic Approach to Food Spoilage and Nutritional Composition Within a Food Matrix.
LDR:04071nam a2200337 4500 001 1121904
005 20240624103709.5
006 m o d
007 cr#unu||||||||
008 240823s2022 ||||||||||||||||| ||eng d
020 $a 9798380480987
035 $a (MiAaPQ)AAI30614058
035 $a (MiAaPQ)Northumbria_51586
035 $a AAI30614058
040 $a MiAaPQ $c MiAaPQ
100 1 $a Porter, Kate. $3 1437766
245 1 2 $a A Multi-Omic Approach to Food Spoilage and Nutritional Composition Within a Food Matrix.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 306 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-04, Section: B.
500 $a Advisor: Tinoco, Maria Benlloch;Lodge, John;Smith, Darren.
502 $a Thesis (Ph.D.)--University of Northumbria at Newcastle (United Kingdom), 2022.
506 $a This item must not be sold to any third party vendors.
520 $a Foods are subject to microbiological and physiochemical alterations during preparation that influence the shelf-life, but the comprehensive nutritional composition of food remains unassessed. At present, food deterioration is determined using techniques based on microbial and physiochemical assessments that are both outdated and lacking sensitivity. However, advances in -Omic technologies enables a greater understanding of bacterial dynamics and spoilage mechanisms.In this study, a novel multi-omic characterisation of spoilage in a commercially available vegetable matrix was performed. To profile spoilage the vegetable matrix was stored for 5-days under baseline condition (20 °C) and a series of conditions composing of various temperature, gas composition and pH environments. The B-vitamin composition was determined through the development of an efficient analytical method which showed excellent linearity (r 2=0.98-0.99), reproducibility (intra-day=%CV <7) and low detection (2.4-9.0 ng/mL) and quantification limits (8-30 ng/mL).Amplicon sequencing revealed the genera Lactococcus, Leuconostoc and Yersinia were responsible for spoilage under baseline conditions. However, overall bacterial dynamics were dependent on the storage condition, for example storage in air promoted Bacillus. Storage at different temperatures 7 °C and 37 °C promoted Pseudomonas and Bacillus alongside lactic acid bacteria respectively. Amplicon sequencing was complemented with untargeted metabolite profiling of volatile and non-volatile metabolites which highlighted metabolites linked to freshness (e.g. glutathione, adenosine 5’monophosphate, arginine) or spoilage (e.g. hypoxanthine and biogenic amines). This further showed metabolic pathways such as purine, glutathione, arginine and proline metabolism were pathways involved in the spoilage of the vegetable matrix. The main volatile groups that changed during storage included, aldehydes, alkanes, alcohols, free fatty acids (FFAs), ketones and monoterpenoids. However, metabolites were shown to be dependent on microbial load and the bacterial communities present. Furthermore, this research highlighted a relationship between B-vitamins and spoilage activity. The content of riboflavin and thiamine reduced by 85.2% and 41% respectively, and nicotinamide was fully exhausted when growth ofLactococcus, Leuconostoc and Yersinia reached spoilage levels (2.105 x 108 CFU/g). This relationship was also influenced by the storage conditions, but in all conditions where growth of microorganisms reached 107 -108CFU/g, nicotinamide was depleted. Therefore, nicotinamide has the potential to be a marker of product freshness and on-going spoilage.In conclusion, this comprehensive -Omic evaluation of food spoilage has provided novel findings regarding food spoilage dynamics that could inform future studies into food spoilage detection and shelf-life extension.
590 $a School code: 5060.
650 4 $a Adenosine. $3 788963
650 4 $a Sucrose. $3 1024476
650 4 $a Volatile organic compounds--VOCs. $3 1437711
650 4 $a Food. $3 581281
650 4 $a Reagents. $3 1372660
650 4 $a Biosynthesis. $3 674536
650 4 $a Vitamin B. $3 1437767
650 4 $a Glucose. $3 999791
650 4 $a Metabolism. $3 581368
650 4 $a Clustering. $3 1413637
650 4 $a Molecular structure. $3 592550
650 4 $a Time series. $3 1413638
650 4 $a Microorganisms. $3 600017
650 4 $a Compressed air. $3 1437768
650 4 $a Metabolites. $3 677719
650 4 $a Nitrogen. $3 1372799
650 4 $a Microbiology. $3 591510
650 4 $a Organic chemistry. $3 1148722
690 $a 0410
690 $a 0490
710 2 $a University of Northumbria at Newcastle (United Kingdom). $3 1372597
773 0 $t Dissertations Abstracts International $g 85-04B.
790 $a 5060
791 $a Ph.D.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30614058