Identification of the factors affecting the consistency of DBS formation via experimental design and image processing methodology
Abstract
In the present study we aimed at reaching a procedure for control of factors that have a potential to contribute to bioanalytical method bias and consistent dried blood spot (DBS) formation. The most influencing factors were identified via experimental design and image processing methodology. The effects of five qualitative factors temperature of blood samples, type of pipettes, pipetting technique, age of blood samples and analysts were investigated by multilevel categorical D-optimal design. Due to well-known influence of hematocrit (Hct) level on rheological characteristic of blood samples, five responses were observed through the study (RSD22%Hct, RSD30%Hct, RSD39%Hct, RSD51%Hct, RSD62%Hct) for their ability to provide insights into influence of factor settings onto DBS areas consistency. The area of blood spots was determined by image processing after scanning DBS cards with four spot replicates, corresponding to particular combination of investigated factors, as defined by experi...mental plan. The qualitative linear mathematical models with added appropriate two-factor interactions were derived by the principle of backward elimination. It was concluded that %RSD value of DBS, for all investigated Hct levels, is completely independent of type of pipettes and age of blood samples, but can significantly be affected by blood sample temperature, pipetting technique and training of analyst. Therefore, the procedure for precise and accurate formation of DBS of uniform area, regardless the Hct value, implies samples at body/room temperature, reversed pipetting technique for rigorous delivery of a sample volume onto the card and a properly trained analyst for handling samples. Finally, a verification experiment was performed and the adequacy of the suggested procedure was confirmed. Identification of the factors affecting the consistency of DBS formation provided the evidence that this contribution to total assay bias can be successfully controlled and reduced.
Keywords:
Dried blood spots / Hematocrit / Image analysis / Experimental design / Categorical factorsSource:
Microchemical Journal, 2019, 145, 1003-1010Publisher:
- Elsevier Science BV, Amsterdam
Funding / projects:
- Modelling of different chromatographic systems with chemometrical approach in pharmaceutical analysis (RS-172052)
DOI: 10.1016/j.microc.2018.12.016
ISSN: 0026-265X
WoS: 000457513000127
Scopus: 2-s2.0-85058654171
Collections
Institution/Community
PharmacyTY - JOUR AU - Rmandić, Milena AU - Dotsikas, Yannis AU - Malenović, Anđelija PY - 2019 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3325 AB - In the present study we aimed at reaching a procedure for control of factors that have a potential to contribute to bioanalytical method bias and consistent dried blood spot (DBS) formation. The most influencing factors were identified via experimental design and image processing methodology. The effects of five qualitative factors temperature of blood samples, type of pipettes, pipetting technique, age of blood samples and analysts were investigated by multilevel categorical D-optimal design. Due to well-known influence of hematocrit (Hct) level on rheological characteristic of blood samples, five responses were observed through the study (RSD22%Hct, RSD30%Hct, RSD39%Hct, RSD51%Hct, RSD62%Hct) for their ability to provide insights into influence of factor settings onto DBS areas consistency. The area of blood spots was determined by image processing after scanning DBS cards with four spot replicates, corresponding to particular combination of investigated factors, as defined by experimental plan. The qualitative linear mathematical models with added appropriate two-factor interactions were derived by the principle of backward elimination. It was concluded that %RSD value of DBS, for all investigated Hct levels, is completely independent of type of pipettes and age of blood samples, but can significantly be affected by blood sample temperature, pipetting technique and training of analyst. Therefore, the procedure for precise and accurate formation of DBS of uniform area, regardless the Hct value, implies samples at body/room temperature, reversed pipetting technique for rigorous delivery of a sample volume onto the card and a properly trained analyst for handling samples. Finally, a verification experiment was performed and the adequacy of the suggested procedure was confirmed. Identification of the factors affecting the consistency of DBS formation provided the evidence that this contribution to total assay bias can be successfully controlled and reduced. PB - Elsevier Science BV, Amsterdam T2 - Microchemical Journal T1 - Identification of the factors affecting the consistency of DBS formation via experimental design and image processing methodology VL - 145 SP - 1003 EP - 1010 DO - 10.1016/j.microc.2018.12.016 ER -
@article{ author = "Rmandić, Milena and Dotsikas, Yannis and Malenović, Anđelija", year = "2019", abstract = "In the present study we aimed at reaching a procedure for control of factors that have a potential to contribute to bioanalytical method bias and consistent dried blood spot (DBS) formation. The most influencing factors were identified via experimental design and image processing methodology. The effects of five qualitative factors temperature of blood samples, type of pipettes, pipetting technique, age of blood samples and analysts were investigated by multilevel categorical D-optimal design. Due to well-known influence of hematocrit (Hct) level on rheological characteristic of blood samples, five responses were observed through the study (RSD22%Hct, RSD30%Hct, RSD39%Hct, RSD51%Hct, RSD62%Hct) for their ability to provide insights into influence of factor settings onto DBS areas consistency. The area of blood spots was determined by image processing after scanning DBS cards with four spot replicates, corresponding to particular combination of investigated factors, as defined by experimental plan. The qualitative linear mathematical models with added appropriate two-factor interactions were derived by the principle of backward elimination. It was concluded that %RSD value of DBS, for all investigated Hct levels, is completely independent of type of pipettes and age of blood samples, but can significantly be affected by blood sample temperature, pipetting technique and training of analyst. Therefore, the procedure for precise and accurate formation of DBS of uniform area, regardless the Hct value, implies samples at body/room temperature, reversed pipetting technique for rigorous delivery of a sample volume onto the card and a properly trained analyst for handling samples. Finally, a verification experiment was performed and the adequacy of the suggested procedure was confirmed. Identification of the factors affecting the consistency of DBS formation provided the evidence that this contribution to total assay bias can be successfully controlled and reduced.", publisher = "Elsevier Science BV, Amsterdam", journal = "Microchemical Journal", title = "Identification of the factors affecting the consistency of DBS formation via experimental design and image processing methodology", volume = "145", pages = "1003-1010", doi = "10.1016/j.microc.2018.12.016" }
Rmandić, M., Dotsikas, Y.,& Malenović, A.. (2019). Identification of the factors affecting the consistency of DBS formation via experimental design and image processing methodology. in Microchemical Journal Elsevier Science BV, Amsterdam., 145, 1003-1010. https://doi.org/10.1016/j.microc.2018.12.016
Rmandić M, Dotsikas Y, Malenović A. Identification of the factors affecting the consistency of DBS formation via experimental design and image processing methodology. in Microchemical Journal. 2019;145:1003-1010. doi:10.1016/j.microc.2018.12.016 .
Rmandić, Milena, Dotsikas, Yannis, Malenović, Anđelija, "Identification of the factors affecting the consistency of DBS formation via experimental design and image processing methodology" in Microchemical Journal, 145 (2019):1003-1010, https://doi.org/10.1016/j.microc.2018.12.016 . .