Institution
Norwegian Food Research Institute
About: Norwegian Food Research Institute is a based out in . It is known for research contribution in the topics: Partial least squares regression & Fermentation. The organization has 455 authors who have published 743 publications receiving 40853 citations. The organization is also known as: Nofima & Norwegian Institute of Food, Fisheries and Aquaculture Research.
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TL;DR: The use of difference in absorbance between 235 and 280 nm for determination of protein concentration is reported.
566 citations
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TL;DR: In this article, the authors used principal component regression (PCR) on both scatter-corrected and uncorrected spectra of five food components: protein, fat, water, and carbohydrates.
Abstract: Near-infrared (NIR) reflectance spectra of five different food products were measured. The spectra were transformed by multiplicative scatter correction (MSC). Principal component regression (PCR) was performed, on both scatter-corrected and uncorrected spectra. Calibration and prediction were performed for four food constituents: protein, fat, water, and carbohydrates. All regressions gave lower prediction errors (7-68% improvement) by the use of MSC spectra than by the use of uncorrected absorbance spectra. One of these data sets was studied in more detail to clarify the effects of the MSC, by using PCR score, residual, and leverage plots. The improvement by using nonlinear regression methods is indicated.
519 citations
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TL;DR: In this article, frozen blueberries (Vaccinium corymbosum L) were processed into juice and concentrate, and the changes in anthocyanin pigments and polyphenolics (cinnamates, procyanidins, flavonol glycosides) were monitored.
Abstract:
Frozen blueberries (Vaccinium corymbosum L.) were processed into juice and concentrate, and the changes in anthocyanin pigments and polyphenolics (cinnamates, procyanidins, flavonol glycosides) were monitored. While juice yield was 83%, only 32% of the anthocyanins were recovered in single-strength juice. Flavonol, procyanidin and chlorogenic acid recoveries in juice were 35%, 43%, and 53%, respectively. The proportion of polyphenolics remaining in the press-cake residue ranged from 1% (chlorogenic acid) to 18% (anthocyanins). Pronounced losses of anthocyanins and polyphenolics during milling and depectinization are believed to be due to native polyphenol oxidase. Losses during concentration ranged from 1.5% (anthocyanins) to 20% (procyanidins). Striking changes occurred in the anthocyanin profile with malvidin glycosides being most stable and delphinidin glycosides the least.
438 citations
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TL;DR: This is the first report on the fatty acid profiles of Nannochloropsis oceanica, ChroococcusSp.
Abstract: Twelve algal strains representing the classes Cyanophyceae, Prymnesiophyceae, Bacillariophyceae, Rhodophyceae, Cryptophyceae, Chlorophyceae, Xantophyceae and Eustigmatophyceae were selected mainly from the culture collection of the Norwegian Institute for Water Research (NIVA). The algae were grown as continuous cultures in a 1.8 l. reactor, internally illuminated with an 11 W fluorescent tube. The retention time was adjusted in the range 2–4 days to fit the growth rate of the algae. The growth responses and fatty acid composition were analysed. The maximum production rate was obtained with Pseudokirchneriella subcapitata (0.63 g 1−1 day−1) and the lowest with Porphyridium cruentum 0.13 g 1−1 day−1. Arachidonic acid (AA) and eicosapentaenoic acid (EPA) were the dominating polyunsaturated fatty acids (PUFAs) in P. cruentum, while only EPA accumulated in Phaeodactylum tricornutum. Docosahexaenoic acid (DHA) was the major PUFA in Isochrysis galbana, while Pavlova sp. had both EPA and DHA. This is the first report on the fatty acid profiles of Nannochloropsis oceanica, Chroococcus sp., Synechococcus sp. and Tribonema sp.
411 citations
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TL;DR: Although today a lot is known about LAB bacteriocins and the regulation of their production, several fundamental questions remain to be solved, including questions regarding mechanisms of immunity and resistance, as well as the molecular basis of target-cell specificity.
Abstract: Lactic acid bacteria (LAB) fight competing Gram-positive microorganisms by secreting anti-microbial peptides called bacteriocins. Peptide bacteriocins are usually divided into lantibiotics (class I) and non-lantibiotics (class II), the latter being the main topic of this review. During the past decade many of these bacteriocins have been isolated and characterized, and elements of the genetic mechanisms behind bacteriocin production have been unravelled. Bacteriocins often have a narrow inhibitory spectrum, and are normally most active towards closely related bacteria likely to occur in the same ecological niche. Lactic acid bacteria seem to compensate for these narrow inhibitory spectra by producing several bacteriocins belonging to different classes and having different inhibitory spectra. The latter may also help in counteracting the possible development of resistance mechanisms in target organisms. In many strains, bacteriocin production is controlled in a cell-density dependent manner, using a secreted peptide-pheromone for quorum-sensing. The sensing of its own growth, which is likely to be comparable to that of related species, enables the producing organism to switch on bacteriocin production at times when competition for nutrients is likely to become more severe. Although today a lot is known about LAB bacteriocins and the regulation of their production, several fundamental questions remain to be solved. These include questions regarding mechanisms of immunity and resistance, as well as the molecular basis of target-cell specificity.
363 citations
Authors
Showing all 455 results
Name | H-index | Papers | Citations |
---|---|---|---|
Vincenzo Fogliano | 72 | 440 | 20451 |
Ronald E. Wrolstad | 65 | 143 | 18521 |
Tormod Næs | 56 | 262 | 11398 |
Henrik J. Andersen | 53 | 139 | 8249 |
Knut Rudi | 52 | 235 | 10060 |
Eric Dufour | 51 | 131 | 6084 |
Harald Martens | 49 | 146 | 11179 |
Wouter Saeys | 48 | 303 | 8609 |
Lars Axelsson | 47 | 93 | 7329 |
Hanne Christine Bertram | 44 | 184 | 6475 |
Askild Lorentz Holck | 42 | 110 | 5618 |
Achim Kohler | 42 | 175 | 5465 |
Solveig Langsrud | 41 | 106 | 5434 |
Even Heir | 40 | 78 | 4364 |
Trond Møretrø | 39 | 84 | 4768 |