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      A New Tool for the Automated Sample Preparation of Whole Blood Sampl...
      24.4.2018 | Institut für Chemie und Bioanalytik

      A New Tool for the Automated Sample Preparation of Whole Blood Samples by LC-MS using a Commercial Autosampler

      Automated sample preparation reduces cost per sample and minimizes sample handling errors. The use of robots is well established for therapeutic drug monitoring or diagnostics based on blood samples. Usually expensive and highly specialized pipetting robots are used. However, most of these systems are not designed with a direct interface for LC-MS applications and common pipetting systems are not optimized for smaller scale sample series. Here we present a new tool for liquid handling of whole blood samples and direct sample injection. The tool features an optical sensor that monitors all liquid handling steps. It detects presence or absence of sample, standards and reagents. The sensor is essential to ensure process safety for automated liquid handling steps.

      Introduction

      The PAL RTC (instrument view below) can perform additional sample prep steps, e.g. standard and reagent addition, centrifugation and liquid / liquid extraction (LLE). The LCMS-P 80 Tool features a special needle that allows direct sampling from primary tubes. With special adapters it can transport primary tubes to and from modules on the system, e.g. for vortexing.

      Different adapters allow the use of different primary tube formats. The optical sensor positioned on the sample loop of the tool (orange triangles in the sketch above) monitors the aspiration of sample, air gap or bubbles. Different sampling situations (injection with air gaps, clogging, bubbles) generate distinct sensor signal patterns, triggering defined system actions.

      Materials and Methods

      PAL RTC autosampler with a 1 mL syringe, LCMS-P80 injection tool, vortex mixer, centrifuge. Agilent LC 1200, Agilent MS 6460 TripleQ-MS. Tested laboratory blood was supplied by blood donation in primary tubes (Vacuette™, Vacutainer™, etc.). All chemicals were purchased from Sigma-Aldrich. Hematocrit levels were prepared by mixing defined ratios of plasma and erythrocytes.

      Results

      A series of tests was performed to assess if the LCMS-P80 injection tool on the PAL RTC can discriminate between a correct transfer of liquid (blood/reagent) and a number of error conditions, listed below:

      • Full vial, clean needle
      • Empty vial, clean needle, no sample
      • Blocked needle (clogging)
      • Full vial, sample foaming

      Error handling routines can be defined. In this set of experiments the routine was the following:
      Error > clean tool > re-try same vial. If error persists > clean tool > next sample. If error persists > abort

      Comparison of different cleaning procedures

      Whole blood consists of water, salt, proteins, lipids and intact erythrocytes, which tend to coagulate on surfaces or in contact with organic solvents. Effective cleaning procedures to avoid precipitation in the system as well as the deposition of biofilms are vital. The Scanning Electron Microscope pictures below show the middle section of 3 sample loops of LCMS-P80 tools after 500 injections of whole blood samples and cleaned with 3 different procedures between each sample.

      Simple procedure:
      1 x 100 μL water with 0.1% formic acid.
      Visible deposition of materials.

      Standard procedure:
      2 x 100 μL water with 0.1% formic acid/ 2 x 100 μL methanol with
      0.1% formic acid/ 2 x 100 μLwater with 0.1% formic acid.
      No visible deposition of materials.

      Advanced procedure:
      100 μL Decon™ Contrad™ 70 followed by standard procedure.
      Slight deposition of materials.

      Examples for Therapeutic Drug Monitoring (TDM)

      The LCMS-P 80 tool was used to prepare samples of several typical drugs for TDM as well as compounds relevant in diagnostics. Spiked and blank (in red) whole blood samples were analyzed.

      Carbamazepine
      Carbamazepine is a representative of an anti-epileptic drug; blood monitoring is vital for setting a correct dosage.
      Method: Eluent A: Water 0.1% Formic acid / Eluent B: Methanol 0.1% Formic acid // Flow: 0.45 ml/min // Runtime: 6 min
      Column: Waters Coretecs C18 2.1x100 mm 2.7 μm
      MS Parameter: Mode: positive MRM: 237>194
      Blood Volume: 10 μL / Injection volume: 2 μL

      Diclophenac
      Diclophenac is a nonsteroidal anti-inflammatory drug and a representative compound for drug monitoring, based on its molecular properties.
      Method: Eluent A: Water 2 mM NaF / Eluent B: Acetonitril 2 mM NaF // Flow: 0.5 ml/min // Runtime: 7 min
      Column: Zorbax SB-C8 4.6x50 mm 1.8 μm
      MS Parameter: Mode: positive MRM: 296>249
      Blood Volume: 10 μL / Injection volume: 2 μL

      25 hydroxy vitamin D3
      25 hydroxy vitamin D3 is the important marker for the storage of vitamin D.
      Method: Eluent A: Water 0.1% Formic acid / Eluent B: Methanol 0.1% Formic acid // Flow: 0.45 ml/min // Runtime: 6 min
      Column: Waters Coretecs C18 2.1x100 mm 2.7 μm
      MS Parameter: Mode: positive MRM: 401>383
      Blood Volume: 10 μL / Injection volume: 20 μL

      Conclusions
      • The new LCMS-P 80 tool is capable of pipetting whole blood with normal hematocrit levels (30-50%) directly from primary tubes with good accuracy and precision, applying one average correction factor. For high hematocrit levels a different correction factor should be applied.
      • Wash procedures were established to minimize carryover of analytes. A procedure to minimize the deposition of blood on system surfaces was shown to be successful.
      • The system consisting of a PAL RTC autosampler, connected to an Agilent LC-MS system can perform sample prep and LC-MS analysis for whole blood samples from primary tubes. The performance of the system was tested with several typical compounds in therapeutically relevant concentrations.
      • The sensor of the LCMS-P80 tool reliably detects error conditions and greatly increases process safety.
      References

      [1] Linder et al. Bioanalysis (2015) 1(16) 2013-2039
      [2] Kearney et al. BMJ. (2006) 332(7553):1302-8
      [3] Shah et al. Nutrition Journal (2011) 10:4

      Research by: Christian Berchtold[1],Günter Böhm[2], Renée Falsia[2], Thomas Preiswerk[2], Götz Schlotterbeck[1]
      [1] University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Institute of Chemistry and Bioanalytics, 4132 Muttenz, Switzerland
      [2] CTC Analytics AG; Industriestrasse 20, 4222 Zwingen, Switzerland

      Zusammenarbeit in Forschung und Dienstleistungen

      Life Sciences
      Stefan Gaugler

      Prof. Dr. Stefan Gaugler

      Arbeitsgruppenleiter Instrumentelle Analytik

      Telefonnummer

      +41 61 228 50 98

      E-Mail

      stefan.gaugler@fhnw.ch

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      Hochschule für Life Sciences FHNW Institut für Chemie und Bioanalytik Hofackerstrasse 30 4132 Muttenz

      icbHLSInstrumentelle AnalytikGSCBprojekt

      Institut für Chemie und Bioanalytik

      Fachhochschule Nordwestschweiz FHNW
      Hochschule für Life Sciences
      Institut für Chemie und Bioanalytik

      Hofackerstrasse 30

      4132 Muttenz

      Telefon+41 61 228 55 45

      E-Mailsebastian.wendeborn@fhnw.ch

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