|ISBN-13:||978-952-326-219-5 || |
|Julkaisu nro / vuosi:||18/2016|| |
|Julkaisusarja:||Natural resources and bioeconomy studies|| |
|Saatavuus:||Juvenes Print|| |
|Sivumäärä:||44 s.|| |
|Tekijät:||Anna-Liisa Välimaa, Sanna Uusitalo, Xu Yueqiang, Riitta Laitinen, Jussi Hiltunen and Timo Koivumäki
Foodborne diseases represent a serious public health issue. For example in the USA it is estimated
that the total economic impact is to billion annually in health care costs, lost productivity,
and diminished quality of life (Byrd-Bredbenner et al. 2013). For this reason, food safety authorities
around the world have realized the need for a strict regulatory framework, including an exhaustive
food testing regime.
In the European Union (EU) the Comission regulation (EC) No 2073/2005 on microbiological criteria
for foodstuffs has been established for food pathogens including Listeria monocytogenes. According
to the regulation the manufactures and other food business operators are responsible for
the production and delivery of safe food. The follow up will be carried out by self-monitoring methods.
Conventional methods are often sensitive, but extremely time-consuming. Depending on the
target microorganism, it may take from several days to over two weeks to obtain a fully confirmed
positive test result (Velusamy et al. 2010). In present food business this timescale is too long. Because
of that Fast Microbe Analysis (FMA) solution was developed in this project.
The target of microbiological part of the study was to shorten the lag phase time in L. monocytogenes
enrichment procedure and determine the selectivity of growth media combined with IMS. It
was clearly seen that it is really difficult to make remarkable improvements in shortening the lag
phase time. The selectivity of growth media combined with immunomagnetic separation concluded
that, the developed method is applicable in Listeria spp. detection, but not specific for L. monocytogenes
By combining surface enhanced Raman spectroscopic (SERS) detection with the sample concentration
the detection limit of 104 CFU/ml was obtained. SERS was based on the hybrid nanoparticle
and corrugated substrate configuration, while immunomagnetic bead separation and hydrophobic
surfaces were utilized to concentrate samples.
Business research in FMA project included indetification of market opportunities for developed
FMA solution, identification of the food safety business ecosystem and the related possible ecosystem
business model for the developed solution. Business opportunities for FMA solution in other
industries were also analyzed.