Fully Automated Optical Hematocrit Measurement from Dried Blood Spots. Issue 2 (5th December 2020)

• Record Type: Journal Article
• Authors: Luginbühl, Marc; Fischer, Yannick; Gaugler, Stefan
• Is Part Of: Journal of analytical toxicology. Volume 46:Issue 2(2022)
• Page Start: 187
• Page End: 193
• Publication Date: 2020-12-05
• Subjects: Drugs -- Analysis -- Periodicals; Drugs -- Toxicity testing -- Periodicals; 615.907
• DOI: 10.1093/jat/bkaa189
• Languages: English
• ISSNs: 0146-4760

Abstract

Abstract: The impact of the hematocrit (HCT) on the dried blood spot (DBS)'s spreading area is one of the most important hurdles, which prevents the full acceptance of quantitative microsampling strategies. Several destructive and non-destructive strategies to assess the HCT from a DBS post-sampling have been presented. Unfortunately, the current methods are either labor-intensive, require a complicated algorithm or are not automatable. Here, we present a novel setup that permits the fully automated reflectance analysis to measure the HCT from a DBS. The underlying principle is based on the concept of the non-destructive single-wavelength HCT measurement. The novel module was embedded within the DBS-MS 500 platform to enable high-throughput analysis of HCT values in combination with automated DBS extraction. The novel setup was assessed and optimized for the probe to card distance, stability, anti-coagulant, spotting volume, scan number, calibration variability, accuracy and precision. It showed excellent inter-day (≤3.7%) and intra-day (≤1.16%) precision as well as high accuracy when analyzing authentic samples (101% ± 7% [range: 87–127%]). Besides, the simple and straightforward application of an HCT correction for DBS was demonstrated during a pharmacokinetic study with diclofenac involving three subjects. Thereby, the sample's HCT and the HCT impact on the analyte were assessed and compensated. In conclusion, the novel setup enables quantitative analysis of non-volumetric samples in an automated fashion without compromising the concept of cost-effective, minimally invasive sampling.