Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marjaana Suutarinen"'
Autor:
Raija Ahvenainen, Marjatta Salmenkallio-Marttila, Johanna Buchert, Karin Autio, Marjaana Suutarinen, Annikka Mustranta
Publikováno v:
Suutarinen, M, Mustranta, A, Autio, K, Salmenkallio-Marttila, M, Ahvenainen, R & Buchert, J 2003, ' The potential of enzymatic peeling of vegetables ', Journal of the Science of Food and Agriculture, vol. 83, no. 15, pp. 1556-1564 . https://doi.org/10.1002/jsfa.1579
Epiderms of potatoes (Solanum tuberosum cv Asterix), carrots (Daucus carota L), Swedish turnips (Brassica napus L) and onions (Allium cepa L) were isolated and their structure was studied by bright-field and epifluorescence microscopy as well as by c
Autor:
Riitta Törrönen, Johanna Buchert, Martina Lille, Kaisa Poutanen, Annikka Mustranta, Jani M. Koponen, Marjaana Suutarinen
Publikováno v:
Buchert, J, Koponen, J M, Suutarinen, M, Mustranta, A, Lille, M, Törrönen, R & Poutanen, K 2005, ' Effect of enzyme-aided pressing on anthocyanin yield and profiles in bilberry and blackcurrant juices ', Journal of the Science of Food and Agriculture, vol. 85, no. 15, pp. 2548-2556 . https://doi.org/10.1002/jsfa.2284
Bilberries (Vaccinium myrtillus) and blackcurrants (Ribes nigrum) were treated with extensive dosages of commercial cell wall degrading enzyme preparations, i.e. Econase CE, Pectinex Ultra SP-L, Pectinex Smash, Pectinex BE 3-L and Biopectinase CCM. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcc720c452e93d63c632ab7ca78a9944
https://cris.vtt.fi/en/publications/f9de3037-0a74-45f5-bea5-5eaa53303571
https://cris.vtt.fi/en/publications/f9de3037-0a74-45f5-bea5-5eaa53303571
Publikováno v:
Rousu, J, Flander, L, Suutarinen, M, Autio, K, Kontkanen, P & Rantanen, A 2003, ' Novel computational tools in bakery process data analysis : A comparative study ', Journal of Food Engineering, vol. 57, no. 1, pp. 45-56 . https://doi.org/10.1016/S0260-8774(02)00221-2
We studied the potential of various machine learning and statistical methods in the prediction of product quality in industrial bakery processes. The methods included classification and regression tree, decision list, neural network, support vector m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6742e9ada96fdae2bcdd61febe491417
https://cris.vtt.fi/en/publications/9ff2174c-dcd6-484d-af17-0385d3a3baef
https://cris.vtt.fi/en/publications/9ff2174c-dcd6-484d-af17-0385d3a3baef