Blar i NOFIMA vitenarkiv på forfatter "Måge, Ingrid"
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Microbiota formed on attached stainless steel coupons correlates with the natural biofilm of the sink surface in domestic kitchens
Moen, Birgitte; Røssvoll, Elin; Måge, Ingrid; Møretrø, Trond; Langsrud, Solveig (Peer reviewed; Journal article, 2015)Stainless steel coupons are frequently used in biofilm studies in the laboratory, as this material is commonly used in the food industry. The coupons are attached to different surfaces to create a “natural” biofilm to be ... -
Molecular diversity of the equine caecal microbiota and its correlation to postprandial fermentation metabolites: A preliminary approach
Hansen, Naja C Kærsgaard; Mydland, Liv Torunn; Næsset, Jon Anders; Austbø, Dag; Måge, Ingrid; Rudi, Knut (Peer reviewed; Journal article, 2014) -
Multi-block regression based on combinations of orthogonalisation, PLS-regression and canonical correlation analysis
Næs, Tormod; Tomic, Oliver; Afseth, Nils Kristian; Segtnan, Vegard; Måge, Ingrid (Peer reviewed; Journal article, 2013) -
Near-Infrared Hyperspectral Imaging of Fusarium-Damaged Oats (Avena sativa L.)
Tekle, Selamawit; Måge, Ingrid; Segtnan, Vegard; Bjørnstad, Åsmund (Peer reviewed; Journal article, 2015) -
On-line sorting of meat trimmings into targeted fat categories
Måge, Ingrid; Wold, Jens petter; Bjerke, Frøydis; Segtnan, Vegard (Peer reviewed; Journal article, 2013) -
Performance of methods that separate common and distinct variation in multiple data blocks
Måge, Ingrid; Smilde, Age K.; Van der Kloet, Frans (Journal article; Peer reviewed, 2018) -
Prebiotic effect of inulin-type fructans on faecal microbiota and short-chain fatty acids in type 2 diabetes: a randomised controlled trial
Birkeland, Eline; Gharagozlian, Sedegheh; Birkeland, Kåre I.; Valeur, Jørgen; Måge, Ingrid; Rud, Ida; Aas, Anne-Marie (Peer reviewed; Journal article, 2020) -
Proceeding: Factors contributing to fading and discoloration of sliced, packaged salami under illumination
Sørheim, Oddvin; Uglem, Solveig; Lea, Per; Måge, Ingrid; Pettersen, Marit Kvalvåg; Larsen, Hanne (Lecture, 2016) -
SEC2MWD: A MATLAB toolbox for derivation of molecular weight distributions from size exclusion chromatography
Måge, Ingrid; Matić, Josipa; Dankel, Elin Katinka (Peer reviewed; Journal article, 2023)Size exclusion chromatography (SEC) is a type of liquid chromatography used for separating molecules based on their size. The pipeline for converting a raw chromatogram to a molecular weight distribution involves multiple ... -
Sensory Assessment of Fish and Chicken Protein Hydrolysates. Evaluation of NMR Metabolomics Profiling as a New Prediction Tool
Steinsholm, Silje; Oterhals, Åge; Underhaug, Jarl; Måge, Ingrid; Malmendal, Anders; Aspevik, Tone (Peer reviewed; Journal article, 2020)Nuclear magnetic resonance (NMR) metabolomics profiling was evaluated as a new tool in sensory assessment of protein hydrolysates. Hydrolysates were produced on the basis of different raw materials (cod, salmon, and chicken), ... -
Sequential and orthogonalized PLS (SO-PLS) regression for path analysis: Order of blocks and relations between effects
Næs, Tormod; Romano, Rosaria; Tomic, Oliver; Måge, Ingrid; Smilde, Age K.; Liland, Kristian Hovde (Peer reviewed; Journal article, 2020)This paper is about the use of the multiblock regression method sequential and orthogonalized partial least squares (SO-PLS) for path modeling. The paper is a follow up of previously published papers on the same topic and ... -
Survival of Five Strains of Shiga Toxigenic Escherichia coli in a Sausage Fermentation Model and Subsequent Sensitivity to Stress from Gastric Acid and Intestinal Fluid
Rode, Tone Mari; McLeod, Anette; Måge, Ingrid; Heir, Even; Axelsson, Lars; Holck, Askild Lorentz (Peer reviewed; Journal article, 2017)The ability of foodborne pathogens to exhibit adaptive responses to stressful conditions in foods may enhance their survival when passing through the gastrointestinal system. We aimed to determine whether Escherichia coli ... -
Survival of Five Strains of Shiga Toxigenic Escherichia coli in a Sausage Fermentation Model and Subsequent Sensitivity to Stress from Gastric Acid and Intestinal Fluid
Rode, Tone Mari; McLeod, Anette; Måge, Ingrid; Heir, Even; Axelsson, Lars; Holck, Askild Lorentz (Peer reviewed; Journal article, 2017)The ability of foodborne pathogens to exhibit adaptive responses to stressful conditions in foods may enhance their survival when passing through the gastrointestinal system. We aimed to determine whether Escherichia coli ... -
The relationship between fatty acid profiles in milk identified by Fourier transform infrared spectroscopy and onset of luteal activity in Norwegian dairy cattle
Martin, Adam Dunstan; Afseth, Nils Kristian; Kohler, Achim; Randby, Åshild Taksdal; Eknæs, Margrete; Waldmann, Andres; Dørum, Guro; Måge, Ingrid; Reksen, Olav (Peer reviewed; Journal article, 2015)To investigate the feasibility of milk fatty acids as predictors of onset of luteal activity (OLA), 87 lactations taken from 73 healthy Norwegian Red cattle were surveyed over 2 winter housing seasons. The feasibility of ... -
The role of biospectroscopy and chemometrics as enabling technologies for upcycling of raw materials from the food industry
Måge, Ingrid; Wubshet, Sileshi Gizachew; Wold, Jens Petter; Solberg, Lars Erik; Böcker, Ulrike; Dankel, Elin Katinka; Lintvedt, Tiril Aurora; Kafle, Bijay; Cattaldo, Marco; Matić, Josipa; Sorokina, Liudmila; Afseth, Nils Kristian (Peer reviewed; Journal article, 2023)It is important to utilize the entire animal in meat and fish production to ensure sustainability. Rest raw materials, such as bones, heads, trimmings, and skin, contain essential nutrients that can be transformed into ... -
Variable selection in multi-block regression
Biancolillo, Alessandra; Liland, Kristian Hovde; Måge, Ingrid; Næs, Tormod; Bro, Rasmus (Journal article, 2016)The focus of the present paper is to propose and discuss different procedures for performing variable selection in a multi-block regression context. In particular, the focus is on two multi-block regression methods: ... -
Variable time delay estimation in continuous industrial processes
Cattaldo, Marco; Ferrer, Alberto; Måge, Ingrid (Journal article; Peer reviewed, 2024)Digital sensors and machine learning enable efficiency improvements in production processes, through process monitoring, anomaly detection, soft sensing, and process control. However, the development of such solutions ...