Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 277

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Hemato-Critical Issues in Quantitative Analysis of Dried Blood Spots: Challenges and Solutions

De Kesel, Pieter MM, Sadones, Nele, Capiau, Sara, Lambert, Willy E, Stove, Christophe P·2013·Bioanalysis

Abstract

Dried blood spot (DBS) sampling for quantitative determination of drugs in blood has entered the bioanalytical arena at a fast pace during the last decade, primarily owing to progress in analytical instrumentation. Despite the many advantages associated with this new sampling strategy, several issues remain, of which the hematocrit issue is undoubtedly the most widely discussed challenge, since strongly deviating hematocrit values may significantly impact DBS-based quantitation. In this review, an overview is given of the different aspects of the 'hematocrit problem' in quantitative DBS analysis. The different strategies that try to cope with this problem are discussed, along with their potential and limitations. Implementation of some of these strategies in practice may help to overcome this important hurdle in DBS assays, further allowing DBS to become an established part of routine quantitative bioanalysis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.4155/bio.13.156

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 277

Metadata

Authors
De Kesel, P. M., Sadones, N., Capiau, S., Lambert, W. E., & Stove, C. P.
Venue
Bioanalysis
Published
2013-08
Volume
5
Issue
16
Pages
2023-2041
ISSN
  • 1757-6180 (ISSN-L)
  • 1757-6199
OpenAlex
W2068734383
Cited by
277
References
1
FWCI
9.60
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Hemato-Critical Issues in Quantitative Analysis of Dried Blood Spots: Challenges and Solutions. https://app.cochat.ai/papers/10.4155/bio.13.156
The paper
De Kesel, P. M., Sadones, N., Capiau, S., Lambert, W. E., & Stove, C. P. (2013). Hemato-Critical Issues in Quantitative Analysis of Dried Blood Spots: Challenges and Solutions. Bioanalysis. https://doi.org/10.4155/bio.13.156

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.