| dc.contributor.author |
Psomas, AN |
en |
| dc.contributor.author |
Nychas, G-J |
en |
| dc.contributor.author |
Haroutounian, SA |
en |
| dc.contributor.author |
Skandamis, P |
en |
| dc.date.accessioned |
2014-06-06T06:51:52Z |
|
| dc.date.available |
2014-06-06T06:51:52Z |
|
| dc.date.issued |
2012 |
en |
| dc.identifier.issn |
01681699 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.compag.2012.04.002 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/5754 |
|
| dc.subject |
Food microbial database |
en |
| dc.subject |
Food safety |
en |
| dc.subject |
LabBase database |
en |
| dc.subject |
Microbial growth |
en |
| dc.subject |
Predictive microbiology |
en |
| dc.subject |
Tertiary model |
en |
| dc.subject.other |
Application softwares |
en |
| dc.subject.other |
Data and information |
en |
| dc.subject.other |
Food industries |
en |
| dc.subject.other |
Food manufacturing |
en |
| dc.subject.other |
Industrial use |
en |
| dc.subject.other |
Making decision |
en |
| dc.subject.other |
Microbial growth |
en |
| dc.subject.other |
Novel foods |
en |
| dc.subject.other |
Predictive micro-biology |
en |
| dc.subject.other |
Production condition |
en |
| dc.subject.other |
Research data |
en |
| dc.subject.other |
Database systems |
en |
| dc.subject.other |
Food safety |
en |
| dc.subject.other |
Industrial applications |
en |
| dc.subject.other |
Innovation |
en |
| dc.subject.other |
Food microbiology |
en |
| dc.subject.other |
data set |
en |
| dc.subject.other |
database |
en |
| dc.subject.other |
food industry |
en |
| dc.subject.other |
growth response |
en |
| dc.subject.other |
manufacturing |
en |
| dc.subject.other |
microbial activity |
en |
| dc.subject.other |
research work |
en |
| dc.subject.other |
software |
en |
| dc.subject.other |
volume |
en |
| dc.title |
LabBase: Development and validation of an innovative food microbial growth responses database |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1016/j.compag.2012.04.002 |
en |
| heal.publicationDate |
2012 |
en |
| heal.abstract |
The ability to monitor the results of research on food safety could help the food industry to design safe foods and to control reliably their stability during the stages of processing and distribution. However, due to the large volume of data and information that exists in the international literature, the specific (and necessary) knowledge for making decisions on the safety of certain foods is difficult to glean, or such a process is only possible with the help of experienced scientific staff. Therefore, a systematic recording of such research data in food databases is required, allowing the user to find quickly and easily the requested information (e.g. depending on the food product or the production conditions and distribution). The user would have the ability to compare different foods or to perform scenarios of food manufacturing and distribution. This paper introduces a novel food microbial growth responses database, called LabBase that satisfies the above requirements, supported by innovative application software, designed for scientific and industrial use. © 2012. |
en |
| heal.journalName |
Computers and Electronics in Agriculture |
en |
| dc.identifier.volume |
85 |
en |
| dc.identifier.doi |
10.1016/j.compag.2012.04.002 |
en |
| dc.identifier.spage |
99 |
en |
| dc.identifier.epage |
108 |
en |