BEVITAL AS

Olink® Proteomics

Targeted protein biomarker discovery by Olink® T96/48 and Flex panels.

OlinkBrochure

Olink® Proteomics

Targeted protein biomarker discovery by Olink® Target 96/48 and Flex panels.

Home > Services > Olink

Olink® Target & Flex

BEVITAL is a service provider of Olink Proteomics and offers Target 96/48 and Flex protein panels using Proximity Extension Assay (PEA) technology. This platform enables our customers to achieve both metabolomics and proteomics data from the same sample aliquots in our lab. Olink Proteomics assays require 1μl of sample volume. Whether your work involves targeted pathway analysis or biomarker discovery, you can rely on more than 1,100 proteins across all panels.

FeatureOlink Target 96 (T96)Olink Target 48 (T48)Olink Flex
Proteins per panel9245/42Customizable up 30 proteins from ~200 library options
Samples per run884040
Primary useBroad profiling, discovery, large cohortsFocused validation, cytokines, pilotsCustom biomarker panels, made-to-order
QuantificationRelative (NPX units)Absolute (pg/mL) and relative (NPX)Absolute (pg/mL) and relative (NPX)
CustomizationPre-defined panels (e.g., inflammation)Pre-defined panels (e.g., cytokine)High; mix-and-match from library
Cost/ThroughputHigh throughput, lower cost/proteinLower cost/entry, faster prepFlexible for small runs, scalable

Target 96

Target 48

Combining Target 48 human and Immune Surveillance panels enables the detection of biomarkers covering key immunological processes, making it an ideal tool for identifying robust protein biomarker signatures across major therapeutic areas. The combines panels require 2 μl sample volume and deliver absolute quantification of 89 proteins.

Flex

Create tailored solutions for your inflammation research. Freely combine 5–30 biomarkers from a library of about 200 proteins into a single panel without compromising data quality. The Flex panel has a capacity of 40 samples and provides both relative and absolute quantification (pg/ml) from 1μl sample volume. Olink Flex provides a range of pre‑designed protein biomarker panels covering diverse research areas, developed by or in collaboration with leading experts.

Introducing next-generation proteomics to your multi-omics studies: novel insights into inflammation and immune activation

Watch our webinar and learn more about Olink´s technologies and their application in multi-omics approaches.

Watch video
Scroll to Top
Linkedin Md-email

Per Christian Eriksen

Md-email

Beate

Md-email

Øivind

Linkedin Md-email

Per Magne Ueland has been Professor at the University of Bergen 1987-2018. He is one of the founders of Bevital AS and the scientific advisor in Bevital since 2023. His interests includes biomarkers related to nutrition, inflammation, ageing and life-style related chronic diseases. Per is committed to the development of precise, high-throughput mass spectrometry methods, tailored for metabolic profiling of biobank specimens from large cohorts.

Md-email

Ove completed his education in Biomedical Science at the Western Norway University of Applied Sciences, supplemented by specialized training in Electrical Engineering and Electronics at the Royal Norwegian Naval Training Establishment and the National Institute of Technology. With many years of experience as a biomedical scientist in hospital laboratories—specializing primarily in microbiology—he brings a unique blend of clinical and technical expertise to his work. Ove focuses on the design and prototyping of electronics, as well as the service and maintenance of laboratory instrumentation, ensuring that technical equipment and workflows remain precise and reliable for research-focused activities.

Linkedin Md-email

Lena holds a master’s degree in biology from the University of Bergen, where her thesis focused on identifying whale skeletons using zooarchaeology by mass spectrometry (ZooMS). At Bevital, she works with LC‑MS/MS analyses and method development, focusing on accurate and reliable testing of biological samples. She is dedicated to ensuring precise and high‑quality results that contribute to reliable scientific outcomes and support ongoing research efforts.

Linkedin Md-email

Marit holds a degree in chemical engineering from Bergen Ingeniørhøyskole, which is now part of the Western Norway University of Applied Sciences. She works with quantitative analysis and method development on LC-MS/MS at the laboratory of Bevital AS.

Linkedin Md-email

Randi holds a Master of Science in Chemical Process Engineering from the Norwegian University of Science and Technology (NTNU). She has been part of Bevital since its very beginning, contributing her expertise primarily to the LC-MS/MS platforms, but also to the microbiological assays. In 2021, she stepped into the role of Manager/CEO, where she is dedicated to strengthening Bevital’s innovative profile and ensuring the company’s continued growth and success. She is especially motivated by advancing research that improves health insights and by fostering collaboration that drives scientific and technological progress.

Linkedin Md-email

Ove completed a bachelor’s degree in Biomedical Laboratory Sciences at the Western Norway University of Applied Sciences in Bergen. With extensive experience in method development and expertise in GC-MS/MS, he specializes in optimizing analytical techniques for research-focused studies. At Bevital, Ove is dedicated to advancing laboratory methods and workflows, contributing to innovative research through precise and reliable analytical solutions.

Linkedin Md-email

Lene holds a bachelor’s degree in Biomedical Laboratory Science from the Western Norway University of Applied Sciences, where she is also completing her master’s degree in Medical Laboratory Technology, expected to graduate in 2026. Her master’s thesis focuses on method validation in fatty acid analysis. At Bevital, she works with GC-MS/MS analyses, routinely performing SCFA measurements and emphasizing accurate and reliable testing of biological samples. With her strong laboratory background, Lene is committed to delivering high-quality results that support medical research.

Linkedin Md-email

Klaus earned his PhD in physics from the University of Münster in Germany. For more than thirty years he has specialized in Time‑of‑Flight mass spectrometry, contributing innovative approaches to SNP genotyping and protein quantification. Together with his colleague Lene Njåstad, he oversees Bevital’s Olink Proteomics service. He also leads Bevital’s website and media design efforts, ensuring a clear and informative public presence.

Linkedin Md-email

Adrian holds a PhD in diabetes research, along with bachelor’s and master’s degrees in biomedical science and public health, respectively. With over 20 years of experience in laboratory science, he leads high-precision metabolite analyses and method development at Bevital. His expertise centers on quantifying biomarkers, metabolite classes, and metabolic pathways related to nutrition, cardiovascular and neurodegenerative diseases, and cancer. Adrian is committed to advancing research quality and actively collaborates nationally and internationally, leveraging targeted metabolomics to support innovative, multidisciplinary research.

Statistical power is the probability that a statistical test will correctly reject a false null hypothesis (H0​) when a specific alternative hypothesis (H1​) is true. H0​ is the null hypothesis, which states there is no effect or no difference. H1​ is the alternative hypothesis, which states there is a real effect or difference. Alpha (α) is the probability of a Type I error (a false positive), which is the risk of incorrectly rejecting the H0​ when it is actually true. You set this value before the experiment, commonly at 0.05. Beta (β) is the probability of a Type II error (a false negative), which is the risk of failing to reject the H0​ when it is actually false.

Power is calculated as 1−β. Increasing power means you are decreasing the probability of making a Type II error.

Several factors can be adjusted to increase the power of a statistical test:

  • Effect Size: This is the magnitude of the difference you are trying to detect. A larger effect size is easier to detect, thus increasing power. 

  • Sample Size: The number of observations in a study. A larger sample size provides more information about the population, reducing the margin of error and increasing the power to detect a true effect.

  • Variation: Refers to the spread or standard deviation of the data within the population. Less variation makes it easier to distinguish a real effect from random noise, thereby increasing power.

  • Alpha (): Increasing the alpha level (e.g., from 0.05 to 0.10) also increases power, but at the cost of a higher risk of a Type I error. This trade-off is often undesirable.

579 entries « ‹ 29 of 29 › »
561.

Chambers, J C; Ueland, P M; Wright, M; Doré, C J; Refsum, H; Kooner, J S

Investigation of relationship between reduced, oxidized, and protein-bound homocysteine and vascular endothelial function in healthy human subjects Journal Article

In: Circ Res, vol. 89, no. 2, pp. 187–192, 2001, ISSN: 1524-4571.

Abstract | Links | BibTeX

562.

Guttormsen, A B; Ueland, P M; Kruger, W D; Kim, C E; Ose, L; Følling, I; Refsum, H

Disposition of homocysteine in subjects heterozygous for homocystinuria due to cystathionine beta-synthase deficiency: relationship between genotype and phenotype Journal Article

In: Am J Med Genet, vol. 100, no. 3, pp. 204–213, 2001, ISSN: 0148-7299.

Abstract | Links | BibTeX

563.

El-Khairy, L; Ueland, P M; Refsum, H; Graham, I M; and, S E Vollset

Plasma total cysteine as a risk factor for vascular disease: The European Concerted Action Project Journal Article

In: Circulation, vol. 103, no. 21, pp. 2544–2549, 2001, ISSN: 1524-4539.

Abstract | Links | BibTeX

564.

Ueland, P M; Hustad, S; Schneede, J; Refsum, H; Vollset, S E

Biological and clinical implications of the MTHFR C677T polymorphism Journal Article

In: Trends Pharmacol Sci, vol. 22, no. 4, pp. 195–201, 2001, ISSN: 0165-6147.

Abstract | Links | BibTeX

565.

Nurk, E; Tell, G S; Nygård, O; Refsum, H; Ueland, P M; Vollset, S E

Plasma total homocysteine is influenced by prandial status in humans: the Hordaland Hhomocysteine Sstudy Journal Article

In: J Nutr, vol. 131, no. 4, pp. 1214–1216, 2001, ISSN: 0022-3166.

Abstract | Links | BibTeX

566.

Vollset, S E; Refsum, H; Ueland, P M

Population determinants of homocysteine Miscellaneous

2001, ISSN: 0002-9165.

Links | BibTeX

567.

Dekou, V; Whincup, P; Papacosta, O; Ebrahim, S; Lennon, L; Ueland, P M; Refsum, H; Humphries, S E; Gudnason, V

The effect of the C677T and A1298C polymorphisms in the methylenetetrahydrofolate reductase gene on homocysteine levels in elderly men and women from the British regional heart study Journal Article

In: Atherosclerosis, vol. 154, no. 3, pp. 659–666, 2001, ISSN: 0021-9150.

Abstract | Links | BibTeX

568.

Ueland, P M; Nygård, O; Vollset, S E; Refsum, H

The Hordaland Homocysteine Studies Journal Article

In: Lipids, vol. 36 Suppl, pp. S33–S39, 2001, ISSN: 0024-4201.

Abstract | Links | BibTeX

569.

Bolann, B J; Solli, J D; Schneede, J; Grøttum, K A; Loraas, A; Stokkeland, M; Stallemo, A; Schjøth, A; Bie, R B; Refsum, H; Ueland, P M

Evaluation of indicators of cobalamin deficiency defined as cobalamin-induced reduction in increased serum methylmalonic acid Journal Article

In: Clin Chem, vol. 46, no. 11, pp. 1744–1750, 2000, ISSN: 0009-9147.

Abstract | BibTeX

570.

Chambers, J C; Ueland, P M; Obeid, O A; Wrigley, J; Refsum, H; Kooner, J S

Improved vascular endothelial function after oral B vitamins: An effect mediated through reduced concentrations of free plasma homocysteine Journal Article

In: Circulation, vol. 102, no. 20, pp. 2479–2483, 2000, ISSN: 1524-4539.

Abstract | Links | BibTeX

571.

Louwman, M W; van Dusseldorp, M; van de Vijver, F J; Thomas, C M; Schneede, J; Ueland, P M; Refsum, H; van Staveren, W A

Signs of impaired cognitive function in adolescents with marginal cobalamin status Journal Article

In: Am J Clin Nutr, vol. 72, no. 3, pp. 762–769, 2000, ISSN: 0002-9165.

Abstract | Links | BibTeX

572.

Hustad, S; Ueland, P M; Vollset, S E; Zhang, Y; Bjørke-Monsen, A L; Schneede, J

Riboflavin as a determinant of plasma total homocysteine: effect modification by the methylenetetrahydrofolate reductase C677T polymorphism Journal Article

In: Clin Chem, vol. 46, no. 8 Pt 1, pp. 1065–1071, 2000, ISSN: 0009-9147.

Abstract | BibTeX

573.

Ueland, P M; Refsum, H; Beresford, S A; Vollset, S E

The controversy over homocysteine and cardiovascular risk Journal Article

In: Am J Clin Nutr, vol. 72, no. 2, pp. 324–332, 2000, ISSN: 0002-9165.

Abstract | Links | BibTeX

574.

Nexo, E; Engbaek, F; Ueland, P M; Westby, C; O'Gorman, P; Johnston, C; Kase, B F; Guttormsen, A B; Alfheim, I; McPartlin, J; Smith, D; Møller, J; Rasmussen, K; Clarke, R; Scott, J M; Refsum, H

Evaluation of novel assays in clinical chemistry: quantification of plasma total homocysteine Journal Article

In: Clin Chem, vol. 46, no. 8 Pt 1, pp. 1150–1156, 2000, ISSN: 0009-9147.

Abstract | BibTeX

575.

Mudd, S H; Finkelstein, J D; Refsum, H; Ueland, P M; Malinow, M R; Lentz, S R; Jacobsen, D W; Brattström, L; Wilcken, B; Wilcken, D E; Blom, H J; Stabler, S P; Allen, R H; Selhub, J; Rosenberg, I H

Homocysteine and its disulfide derivatives: a suggested consensus terminology Journal Article

In: Arterioscler Thromb Vasc Biol, vol. 20, no. 7, pp. 1704–1706, 2000, ISSN: 1079-5642.

Links | BibTeX

576.

Vollset, S E; Refsum, H; Irgens, L M; Emblem, B M; Tverdal, A; Gjessing, H K; Monsen, A L; Ueland, P M

Plasma total homocysteine, pregnancy complications, and adverse pregnancy outcomes: the Hordaland Homocysteine study Journal Article

In: Am J Clin Nutr, vol. 71, no. 4, pp. 962–968, 2000, ISSN: 0002-9165.

Abstract | Links | BibTeX

577.

Lien, E A; Nedrebø, B G; Varhaug, J E; Nygård, O; Aakvaag, A; Ueland, P M

Plasma total homocysteine levels during short-term iatrogenic hypothyroidism Journal Article

In: J Clin Endocrinol Metab, vol. 85, no. 3, pp. 1049–1053, 2000, ISSN: 0021-972X.

Abstract | Links | BibTeX

578.

Vollset, S E; Nygârd, O; Refsum, H; Ueland, P M

Coffee and homocysteine Miscellaneous

2000, ISSN: 0002-9165.

Links | BibTeX

579.

Schneede, J; Refsum, H; Ueland, P M

Biological and environmental determinants of plasma homocysteine Journal Article

In: Semin Thromb Hemost, vol. 26, no. 3, pp. 263–279, 2000, ISSN: 0094-6176.

Abstract | Links | BibTeX

579 entries « ‹ 29 of 29 › »

Olink Proteomics

Please fill out the fields below (*required).
We will respond to you ASAP.
Thank you!

Customized analyses

Please fill out the fields below (*required).
We will reply to you soon for a detailed project discussion.
Thank you for reaching out to Bevital!

Mix-and-Match

Please fill out the fields below (*required).
We will respond to you as soon as possible.

Ready-to-Run

Please fill out the fields below (*required).
We will respond ASAP.
Thank you!

Thanks for joining!

Get updates about new method developments, publications and comming events.

Ulvik et al.