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Dried blood spots (DBS)

The technique of gathering whole blood samples on paper, termed as Dried Blood Spot (DBS), has a rich history tracing back to the early 1960s. It was initially introduced in newborn screening programs for the detection of inherited metabolic disorders. Today, this modern, forward-thinking approach revolutionizes blood sampling, accommodating the needs of the future.

Dried-blood-spots-rev-JPEG.jpg – Vitas Analytical Services


DBS (Dried Blood Spot) collection is quickly gaining recognition for its numerous benefits over traditional blood sampling methods. It's cost-effective, less invasive, and simplifies both collection and transportation, reducing infection risk. Furthermore, it needs only a few drops of blood, making it an increasingly essential platform for quantitative biomarker analysis.

Key advantages of DBS collection include:

  • Flexibility of sample collection, allowing for remote locations like homes, schools, and field sites

  • Elimination of the need for medical professionals as no venipuncture is required

  • Minimal invasiveness

  • Requirement of a small blood volume

  • Convenient transportation at room temperature via regular mail

  • Prolonged stability

Vitas provides a variety of DBS collection kits to suit different needs. Single kits can be shipped directly to individual locations, and we also cater to larger studies, with kit quantities ranging from 100 to 100,000. Contact us to identify the optimal choice for your requirements.

We have the capability to develop assays for a wide range of biomarkers based on demand. The extent of assay validation is agreed upon with the sponsor. We provide various reporting options, with typical biomarkers including:

  • Fatty acids

  • Amino acids

  • Vitamins

  • Lipids like: Cholesterol, triglycerides

  • Carotenoids

  • Inflammatory markers

  • Comprehensive lipidomics by TOF-MS (several hundred different lipids)

  • Proteins like: C-peptide, glucose, CRP, IGF-1, PYY, HbA1c, etc.

See our DBS instruction video to obtain optimal sample quality

Applications