Logistics & Quality Control
With more than 20 years of experience and thousands of samples processed each month, we have developed optimized procedures for sample handling, robust software for data integration, and comprehensive quality‑control frameworks. Our workflows and logistics are designed to minimize human error, reduce pre‑analytical variation and assay drift, and ensure consistently high assay performance in terms of accuracy, precision, and low sample consumption.
Trusted Workflows. Trusted Data.
1. Quality control
Each set of 96 vials contains 6 vials with calibrators, 3 with control plasma samples with known biomarker concentrations and one vial without biomarker (blank, to control for carry over). The calibrators are diagonally located (from upper left to lover right corner) across the sample tray to verify positioning of the tray in the autosampler. Large stock solutions of plasma calibrator and control plasma are prepared in sufficient amount to last for years, to minimize chance of assay drift over time. These stocks are aliquoted and stored at -80 °C. New stock are calibrated by comparison with the previous validated stock solution by analysing about 1000 parallel samples over one month. BEVITAL participates in external quality control programs for total homocysteine, MMA, cystatin C (DEKS), vitamin D (DEQAS), 24 amino acids, 3-hydroxybutyrate, creatinine (ERNDIM), vitamin K (KEQAS), 5-methyltetrahydrofolate, cobalamin and hsCRP (LABQUALITY).
2. Validation across platforms
Some stable metabolites are measured at two or three platforms (methods), but against the same calibrators. These metabolites are total homocysteine (tHcy), total cysteine (tCys), cystathionine (Cysta), methionine (Met), tryptophan (Trp), kynurenine (Kyn), histidine (His), ornithine (Orn) and trimethylamine N-oxide (TMAO). For these analytes, the above-mentioned software calculates the ratios between concentrations obtained by different platforms. Analysis on each platform requires separate pipetting of sample and reagents and separate organization of vials into the sample tray. Therefore, analytical errors related to sample identification, handling, pipetting and organization as well as instrumental performance are likely to be discovered as metabolite ratio(s) different from 1. This ensures adequate sample handling and logistics but also minimizes the possibility of assay interference.
3. Data integration
Raw data from the separate platforms and analysis sets are integrated and fully handled by in-house designed QC software and database. Data files from separate platforms are merged and spread between parallel runs as well as summary statistics are calculated. Customers receive a detailed report of all measured concentrations including full insights into quality controls.
4. Minimizing sample consumption and analyte degradation
Logistics at BEVITAL have been established to minimize sample consumption, especially when samples are analyzed across multiple platforms, and to prevent pre-analytical degradation after sampling and during repeated freeze–thaw cycles. Automated liquid‑handling robots and associated methods have been optimized for minimal sample consumption, helping to preserve precious material while maintaining analytical integrity.
5. Long-term assay drift (LAD)
LAD refers to systematic rather than random changes in measured analyte concentrations that may take place over months or years. This may result in slight differences in central estimates and/or distribution when comparing values from repeated analyses carried out years apart. LAD most likely occurs when first measurements are carried out shortly after the method has been launched (new method), is detected in large sample series, and is occasionally observed for biobank samples in spite of no detectable changes in levels for longitudinal control samples. Possible explanations include column replacement, altered instrument performance, and method optimization. To avoid bias from LAD, BEVITAL measures sample series for each project within a short time period, when no deliberate changes or optimization in method design are undertaken. BEVITAL strongly discourages composing data sets where samples from comparison groups are analyzed at different time points. Possible bias from LAD may be reduced but not totally avoided by value correction based on overlapping (bridging) samples or control plasma.
