Validation and Verification of a Liquid Chromatography–Mass

Feb 2, 2018 - Recovery from pig serum was only performed at the QCL level for DHA-d5 (n = 6 replicates) because the DHA-d5 stock solution concentratio...
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The Validation and Verification of an LC;MS Method for the Determination of Total Docosahexaenoic Acid (DHA) in Pig Serum Gerald Dillon, Geoff Wallace, Alexandros Yiannikouris, and Colm Moran J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.7b04791 • Publication Date (Web): 02 Feb 2018 Downloaded from http://pubs.acs.org on February 2, 2018

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Journal of Agricultural and Food Chemistry is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.

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Journal of Agricultural and Food Chemistry

The Validation and Verification of an LC;MS Method for the Determination of Total Docosahexaenoic Acid (DHA) in Pig Serum

Gerald Patrick Dillon1*, Geoff Wallace2, Alexandros Yiannikouris3, Colm Anthony Moran4

* Corresponding author Email: [email protected] Tel: +353 1 8252244 Fax: +353 1 8252251

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Abstract

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The paper presents the validation and verification of an analytical method for the determination

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of total DHA in pig serum by LC-ESI-MS/MS. The characteristics studied during the validation

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included; precision and accuracy, LOQ, selectivity, calibration range & linearity, parallelism and

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stability. A separate verification study was also performed. The method was linear over the

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range. Precision and accuracy met acceptance criteria at all levels and the LOQ was determined

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as 1 µg/mL. Parallelism experiments were conducted to show that there was no bias introduced

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in using a surrogate matrix to quantify DHA. Recoveries of free DHA were obtained for quality

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control samples and stability studies were conducted over 24 hours, 7, 31 and 180 days. The

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results of the verification study were in line with the validation study and in conclusion, the

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method was deemed fit for purpose for measuring total DHA in pig serum.

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Keywords:

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DHA; enrichment; LC;MS; serum; analytical method; validation and verification

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Introduction

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Over the past number of decades, there has been a growing awareness and appreciation in

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scientific and legislative communities, as well as the public consumer at large, as to the

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importance of long chain polyunsaturated omega-3 fatty acids (LC PUFA n-3) in the human

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diet.1, 2 This has resulted in a growth of research into the nutritional and health benefits of LC

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PUFA n-3 and the enrichment of food with LC PUFA n-3. 3, 4, 5

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Long chain fatty acids typically have between 16 and 26 carbon atoms. Poly-unsaturated fatty

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acids (PUFA) have at least two or more double bonds and are named depending on the number

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of carbon atoms in the chain, the number of double bonds and the number of atoms from the

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terminal methyl group. Docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) can be

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synthesized from the precursor α-linolenic acid (ALA).6 LC PUFA n-6 compounds such as

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arachidonic acid (AA) are derived from linoleic acid (LA). As ALA and LA are not synthesized

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endogenously in the body, they are considered ‘essential fatty acids’ as they need to be

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consumed in the diet. However, with regards to DHA and EPA, recent studies have shown that

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they are not easily converted from their precursors and, it is therefore imperative that they are

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consumed through a regular diet.7

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The health benefits of LC PUFA n-3 can be considered from alternative perspectives. Firstly, the

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human brain and central nervous system are known to be major sites of LC PUFA n-3

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accumulation, particularly of DHA.8 LC PUFA n-3 are known to be involved in brain structure,

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brain development and cognitive function as well as optimal pre- and post-natal growth.9,10 In

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addition, reduced brain DHA is associated with aging and the onset of dementia. There is also

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evidence that DHA plays a role in mental health, specifically in depression including postnatal

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depression, bipolar disorder and other behavioral disorders.11, 12 Secondly, LC PUFA n-3 have

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been linked to reducing the risk of certain diseases such as cardiovascular disease (CVD), cancer

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and type-2 diabetes and also are linked in their ability to impact inflammatory ailments like

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rheumatoid arthritis, hypertriglyceridemia and psoriasis.8, 13

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Being mindful of the potential health benefits which can be offered by DHA, the enrichment of

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meat has become the focus of much scientific research, where alternative feeding strategies with

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a host of LC PUFA n-3 rich ingredients, has been investigated.

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enrichment studies is that animal tissues can only be determined for DHA content at the

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termination of life. Serum, however, can be analysed as a biomarker throughout the course of a

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study in assessing DHA status and absorption and hence, the supplementation strategy. If end

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studies can be performed to measure the accumulation of PUFAs in biological tissues, it is also

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extremely relevant to evaluate the transient absorption, half-life and distribution of DHA in

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biological fluids. This approach enables to monitor over time, in a less invasive way, the transfer

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of dietary DHA to the blood stream, to estimate the success of a feeding-based strategy aiming at

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enriching animal food products.

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A limiting feature of

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Fatty acids are conventionally quantified by first extracting them from their relevant matrix using

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the method developed by Folch et. al.18 (1957) and then analyzing them by Gas Chromatography

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(GC).19 Variations of GC methodology to include ionic liquids have been reported and provide a

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more rapid analysis with improved separation and resolution.20, 21 Several liquid chromatography

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(LC) methods with UV detection have also been published for the analysis of fatty acids.22, 23, 24

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Alternative LC methodologies with refractive index detection and light-scattering detection have

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also been reported.25, 26

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The analysis of PUFA is challenging in many instances because of the inherent properties of

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PUFAs in terms of solubility, instability and isobaric forms. If GC-FID methods constitute the

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major pool of accepted and validated methods for lipid analysis in biological tissues and foods,

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the advent of electrospray ionization technologies (ESI) have enabled mass spectrometry to

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become a technique of choice, especially when sensitivity and selectivity is needed, for

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biological fluids, cells or microorganisms. 27, 28, 29 LC has also become a tool of choice because it

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can easily be interfaced with an ESI-MS. The advent of ultra-pressure liquid chromatography

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(UPLC) has also enabled an increase in separation capability and chromatographic performance.

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Using the innovations of triple quadrupole systems and the development of different mass

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analyzers modes, MS systems dramatically increase the sensitivity, selectivity and accuracy of

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the detection owing to multi-reaction monitoring specifically aiming at analytical targets selected

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based on their m/z ratio of the parent ions and specific fragments in the context of targeted

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lipidomics. Finally, limiting the manipulation of the sample and the use of derivatization agents

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also represents a key advantage in terms of analyte recovery and precision compared to GC

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approaches. Therefore, by drawing on advances in recent analytical chemistry, the aim of this

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paper is to describe the validation and verification of an analytical method for the determination

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of total DHA in pig serum by LC-ESI-MS/MS. 30

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Materials and Methods

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Chemicals, Reagents and Instrumentation

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For the validation study performed at LGC (Cambridgeshire, UK), DHA was purchased from

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Matreya LLC (Pennsylvania, USA) and docosahexaenoic acid –D5 (DHA-D5) was purchased

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from Cayman Chemical (Michigan, USA) for use as an internal standard (IS). HPLC grade

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acetonitrile, HPLC grade hexane, analytical reagent grade (~37%) hydrochloric acid and

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laboratory reagent grade acetic acid (glacial) were purchased from Fisher Scientific

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(Loughborough, UK). Ultrapure water was obtained from a Duo Ultrapure unit from TripleRed

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(Buckinghamshire, UK). Phosphate buffered saline (PBS) tablets (Dulbecco A) were purchased

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from Oxoid Ltd (Basingstoke, UK). Tween® 80 was purchased from Acros Organics (Geel,

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Begium). Bovine serum albumin (BSA), heat shock fraction, protease free, fatty acid free,

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essentially globulin free was purchased from Sigma-Aldrich (Dorset, UK). Control porcine

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whole blood (Yorkshire strain) containing lithium heparin anticoagulant and control porcine

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serum (Yorkshire strain) was purchased from B&K Universal Ltd (Hull, UK). All experiments

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were performed on an Acquity UPLC® system (Waters Corporation, Hertfordshire, UK) coupled

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to a Sciex API 4000™ mass spectrometer (Sciex, Warrington, UK). Data was acquired and

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integrated using Analyst® 1.5.2 (Sciex, Warrington, UK) and calculated concentrations were

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determined using Watson LIMS™ software version 7.2 (Thermo, Loughborough, UK).

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The verification study was performed at Silliker JR Laboratories, (Burnaby, Canada). For these

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studies, DHA was purchased from Sigma Aldrich (St. Louis, USA) and DHA-D5 was purchased

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from Santa Cruz Biotechnology (Dallas, USA). HPLC grade acetonitrile and hexane and

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analytical reagent grade (~37%) hydrochloric acid and laboratory reagent grade acetic acid

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(glacial) were purchased from Fisher Scientific (Ontario, Canada). Phosphate buffered saline

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(PBS) tablets were purchased from Sigma Aldrich (St. Louis, USA). Tween® 80 (polysorbate

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80) was purchased from Sigma Aldrich (St. Louis, USA). Bovine serum albumin (BSA), heat

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shock fraction, protease free, fatty acid free was purchased from Sigma Aldrich (St. Louis,

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USA). Control pig serum was purchased from Life Technologies Inc. (Burlington, Ontario,

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Canada). All experiments were performed on an Agilent 1100 HPLC system (Agilent

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Technologies, Mississauga, ON, Canada) coupled to an API 4000 mass spectrometer (AB Sciex,

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Concord, ON, Canada). Data was acquired and integrated using Analyst® 1.5 (AB Sciex,

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Concord, ON, Canada) and calculated concentrations were determined using MultiQuant

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software AB Sciex, Concord, ON, Canada).

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Preparation of Calibration Standards. and Quality Control Samples

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Stock solutions of DHA were prepared in acetonitrile at 10 mg/mL and DHA-D5 was supplied as

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a 500 µg/mL solution in ethanol. Calibration, quality control (QC) and IS working solutions

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were prepared by diluting stocks in acetonitrile. All solutions were stored in amber glass vials at

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-20 °C. 50 mg/mL fatty acid free BSA in PBS containing 0.1% Tween 80 was used as surrogate

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matrix, based on work by Bowen et al. (2010), 31 in which fatty acid free human serum albumin

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was used as surrogate matrix. Calibration standards were prepared at 1, 2, 5, 15, 50, 175, 450 and

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500 µg/mL by adding 5 µL of each calibration solution to 95 µL of surrogate matrix. DHA QC

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samples were prepared at 1 (LLOQ), ~3.1 (QCL), ~26.4 (QCM) and ~410 (QCH) µg/mL,

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depending on the endogenous DHA content of the serum, and were stored at -20 °C. QC LLOQ

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was prepared by adding 10 µL of spiking solution to 190 µL of surrogate matrix. QCL was

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prepared by diluting control pig serum with surrogate matrix to give ~ 3.1 µg/mL DHA

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(typically ~1:2.5, v/v). QCM and QCH were prepared by adding 10 µL of QC solution to 190 µL

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of control pig serum. The mean endogenous DHA level of the control pig serum was determined

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by analyzing 12 replicates and was used to calculate QC concentrations.

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Sample Preparation

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The sample preparation procedure was based on a previously described method

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modification. 25 µL of sample was added to a 2 mL, screwcap, polypropylene tube, 20 µL of IS

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working solution (10 µg/mL) was added and the tubes were vortex mixed. 150 µL of

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acetonitrile:hydrochloric acid ~37% (80:20, v/v) was added and the tubes were sealed with screw

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caps containing an EPDM O-ring, to ensure a tight seal. Tubes were vortex mixed briefly and

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incubated at 90 °C for 3 hours to hydrolyze the samples, releasing free DHA from bound forms

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such as phospholipids and glycerides. After cooling to room temperature, 200 µL of water was

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added and free DHA was extracted with 1 mL of hexane. The tubes were rotary mixed and

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centrifuged before 10 µL of the hexane layer was transferred to a 96 deep well plate containing

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glass inserts. This was evaporated under nitrogen at 40 °C and reconstituted in 500 µL of

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acetonitrile:0.1% acetic acid (aq) (70:30 v/v).

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Liquid Chromatographic Conditions

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The UPLC system utilized a 50 mm x 2.1 mm, 1.7 µm BEH C18 column (Waters Corporation,

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Milford, USA) maintained at 40 °C. The sample tray was maintained at 4 °C. The mobile phase

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flow rate was 0.6 mL/min and consisted of mobile phase A: 0.1% acetic acid (aq) and mobile

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phase B: acetonitrile. The gradient profile was as follows: 0.0-1.0 min 72% B, 1.0-1.1 100% B,

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1.1-1.3 100%B, 1.3-1.4 72% B, 1.4-1.7 72% B. For the verification study, a 50 mm x 2.1 mm,

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3.6 µm XB-C8 column was used (Phenomenex, Torrance, USA). The sample tray was

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maintained at 4 °C. The flow rate was 0.4 mL/min and, as with the validation procedure, the

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mobile phase consisted of A: 0.1% acetic acid (aq) and mobile phase B: acetonitrile. The

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following gradient profile was used: 0.0-0.8 min 70% B, 0.8-1.1 100% B, 1.1-1.2 100% B, 1.2-

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4.5 70% B.

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MS/MS Conditions

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An API 4000 mass spectrometer was operated in negative TurboIonSpray mode and used

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multiple reaction monitoring transitions m/z 327.3  283.0 and m/z 332.4  288.1 for DHA and

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DHA-D5 respectively. Source conditions were as follows: Temperature 500 °C, Curtain gas 30

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psi, Collision gas 6, GS1 60 psi, GS2 40 psi, ionspray voltage -4500 V. The remaining

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conditions were: Declustering potential -85 V; Collision energy -16 eV; CXP -13 V (DHA) and -

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15 V (DHA-D5).

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Validation and Verification Procedures

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Method validation was carried out in LGC’s small molecule bioanalysis laboratory and follows

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an in-house validation SOP based on procedures outlined in the European Medicines Agency

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guideline on bioanalytical method validation (EMA, 2011)33 and with reference to guidance from

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the Food and Drug Administration (FDA, 2001)34. The EMA guidelines does not provide criteria

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for biomarker assays so precision and accuracy criteria were increased from ≤15%, ±15% to

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≤20%, ±20% for QCL, QCM and QCH levels respectively, due to the increased complexity of

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endogenous assays. Likewise, stability acceptance was increased from ±15% to ±20%. As

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calibration standards and QCLLOQ samples were prepared in surrogate matrix the EMA

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guideline criteria were retained. Solution stability acceptance and the parallelism test (which

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replaced the conventional matrix effect test) are not described in the guideline. Criteria tested

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during validation include: precision and accuracy, LLOQ, selectivity, calibration range &

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linearity, parallelism and stability. For the verification study, the following parameters were

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examined: calibration range & linearity, precision and accuracy, sensitivity and selectivity.

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Calibration Curve and Linearity

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Calibration curves were constructed by plotting the DHA: IS peak area ratio of the calibration

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standards against DHA concentration. Linear regression was performed using a 1/x2 weighting

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and the correlation coefficient (R2), slope and intercept determined. Acceptance criteria for the

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LLOQ calibration standards were a relative error (%RE) of ±20% with a minimum signal to

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noise ratio of 5:1. For all other concentrations the acceptance criteria was ±15% RE.

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%RE=

(back calculated concentration – nominal concentration) x100 nominal concentration

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Precision and Accuracy and Lower limit of Quantitation

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Inter- and intra-assay precision (%CV) and accuracy (%RE) were determined by the analysis of

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LLOQ, QCL, QCM and QCH quality control samples on 3 separate occasions with 6 replicates

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per level. The acceptance criteria were %RE ±20%, %CV ≤20% and a signal to noise ratio of at

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least 5:1 for LLOQ QC samples.

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Selectivity

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Selectivity was assessed in pig serum from six individuals. Due to the endogenous nature of

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DHA, selectivity was only assessed for the internal standard. The peak area of any co-eluting

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interference was compared to the average IS response from the QCM samples. The EMA

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guideline state that any interference should be