Improved Quantitation of Gluten in Wheat Starch for Celiac Disease

Sep 16, 2016 - Identification of novel antibody-reactive detection sites for comprehensive gluten monitoring. Niels Röckendorf , Barbara Meckelein , ...
0 downloads 13 Views 2MB Size
Subscriber access provided by CORNELL UNIVERSITY LIBRARY

Article

Improved quantitation of gluten in wheat starch for celiac disease patients by gel-permeation high-performance liquid chromatography with fluorescence detection (GP-HPLC-FLD) Katharina Anne Scherf, Herbert Wieser, and Peter Koehler J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.6b02512 • Publication Date (Web): 16 Sep 2016 Downloaded from http://pubs.acs.org on September 20, 2016

Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a free service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are accessible to all readers and citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.

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.

Page 1 of 37

Journal of Agricultural and Food Chemistry

1

Improved quantitation of gluten in wheat starch for celiac disease

2

patients by gel-permeation high-performance liquid chromatography

3

with fluorescence detection (GP-HPLC-FLD)

4 5

Katharina Anne Scherf*, Herbert Wieser and Peter Koehler

6 7

Deutsche Forschungsanstalt für Lebensmittelchemie, Leibniz Institut, Lise-Meitner-Straße 34,

8

85354 Freising, Germany

9 10 11

*Corresponding author

12

phone +49 8161 712927; fax +49 8161 712970; e-mail: [email protected]

13

1 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

14

Abstract

15

Purified wheat starch (WSt) is commonly used in gluten-free products for celiac disease (CD)

16

patients. It is mostly well-tolerated, but doubts about its safety for CD patients persist. One

17

reason may be that most ELISA kits primarily recognize the alcohol-soluble gliadin fraction of

18

gluten, but insufficiently target the alcohol-insoluble glutenin fraction. To address this problem,

19

a new sensitive method based on the sequential extraction of gliadins, glutenins and gluten

20

from WSt followed by gel-permeation high-performance liquid chromatography with

21

fluorescence detection (GP-HPLC-FLD) was developed. It revealed that considerable amounts of

22

glutenins were present in most WSt. The gluten contents quantitated by GP-HPLC-FLD as sum

23

of gliadins and glutenins were higher than those by R5 ELISA (gluten as gliadin content

24

multiplied by a factor of 2) in 19 out of 26 WSt. Despite its limited selectivity, GP-HPLC-FLD may

25

be applied as confirmatory method to ELISA to quantitate gluten in WSt.

26 27

Keywords

28

Celiac disease; gliadin; gluten analysis; glutenin; enzyme-linked immunosorbent assay (ELISA);

29

gel-permeation HPLC fluorescence detection; wheat starch

2 Environment ACS Paragon Plus

Page 2 of 37

Page 3 of 37

Journal of Agricultural and Food Chemistry

30

INTRODUCTION

31

Gluten is a complex mixture of storage proteins found in the starchy endosperm of wheat, rye,

32

barley and oats grains. Traditionally, gluten proteins may be separated into two fractions, the

33

monomeric prolamins (called gliadins in wheat) soluble in aqueous alcohols and the polymeric

34

glutelins (called glutenins in wheat) insoluble in aqueous alcohols, that are linked by

35

intermolecular disulfide bonds and can only be solubilized with reducing and disaggregating

36

agents.1 Wheat gliadin and glutenin fractions may be further subdivided into the gluten protein

37

types ω5-, ω1,2-, α- and γ-gliadins as well as ωb-gliadins and high- and low-molecular weight

38

glutenin subunits (HMW- and LMW-GS) that share similar amino acid sequences and molecular

39

weights.2 One characteristic feature of gluten proteins is their exceptionally high content of

40

glutamine (26-53 mol-%) and proline (10-29 mol-%).3 This makes them resistant to

41

gastrointestinal enzymes, so that large peptides may reach the small intestine where they may

42

initiate the dysregulated immune response in genetically predisposed persons known as celiac

43

disease (CD).4 Once triggered, the essential treatment is a lifelong gluten-free (GF) diet with a

44

maximal daily ingestion of 20 mg gluten.5 CD affects about 1% of the population,6 but wheat-

45

allergic patients (estimated prevalence ≈ 1%)7 and a growing number of people suffering from

46

non-celiac gluten sensitivity (estimated prevalence 0.6-6%)8 also adopt a GF diet. In order to

47

comply with the labeling requirements set by Codex Alimentarius Standard 118-1979,9 GF

48

dietary products must not contain more than 20 mg gluten per kg of the food. Enzyme-linked

49

immunosorbent assays (ELISAs) are the only validated methods to determine the gluten

50

content of supposedly GF products and are most commonly used in compliance testing.10,11

51

Much research is going on to develop alternatives for gluten determination based on

52

biosensors12 or liquid chromatography-mass spectrometry (LC-MS),13-16 but none of these

53

methods has been validated so far. Gluten detection by ELISAs faces some challenges, because

3 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

54

the results for the same product analyzed with different test kits showed systematic deviations

55

depending on the specific characteristics (e.g., extraction procedure, reference material,

56

antibody specificity) of each kit.11,17-21 Another important aspect is that most antibodies mainly

57

target prolamins,20 although glutelins also harbor CD-active peptides22 and HMW-GS were

58

reported to stimulate CD in vivo.23 The duplication of the prolamin content determined by

59

ELISA tends to result in an overestimation of gluten contents, because gliadin-to-glutenin

60

(gli/glu) ratios are typically not 1, but 1.5-3.1 in wheat flours.24 However, this duplication was

61

shown to be inaccurate in wheat starches (WSt), because gli/glu ratios were down to 0.3,

62

leading to a potential underestimation of gluten contents.25 The limited ability of antibodies to

63

detect glutenins thus results in a considerable measurement uncertainty regarding gluten

64

contents of WSt determined by ELISA, which contributes to the controversy concerning the

65

safety of WSt as part of a GF diet, especially in the USA and Canada.26,27

66

Because reversed-phase high-performance liquid chromatography with UV detection (RP-HPLC-

67

UV) was not sensitive enough to detect gluten contents below 300 mg/kg,25 the present study

68

aimed to use fluorescence detection (FLD) to increase the sensitivity of the HPLC method.

69

HPLC-FLD without derivatization is based on detecting the UV-induced, intrinsic fluorescence of

70

the aromatic side chains of the amino acids tryptophan, phenylalanine and tyrosine.28-30

71

Intrinsic FLD of peptides/proteins was reported to be over 100-fold more sensitive compared to

72

UV,31 offered good linearity and reproducibility32 and limits of detection (LOD) in the low

73

femtomole range.33 Laser-induced fluorescence detection of peptides/proteins is also

74

commonly used in capillary electrophoresis (CE-LIF).34 Furthermore, gluten proteins may be

75

visualized in dough and bread by confocal laser scanning microscopy using their intrinsic

76

fluorescence.35 However, to the best of our knowledge, HPLC-FLD has not been applied to

77

gluten quantitation so far. Therefore, a new HPLC-FLD method was developed to improve the

4 Environment ACS Paragon Plus

Page 4 of 37

Page 5 of 37

Journal of Agricultural and Food Chemistry

78

quantitation of gluten in WSt, with a special focus on detecting both gliadins and, especially,

79

glutenins. Although not as specific and versatile as an LC-MS method, this HPLC-FLD method

80

may be used by smaller laboratories that may be equipped with an HPLC, but not with an LC-

81

MS instrument. In addition, the HPLC-FLD method directly yields quantitative values for gluten

82

after appropriate calibration, whereas it is still difficult to calculate back to original gluten

83

contents after quantitation of gluten-specific peptides by LC-MS.

84 85

MATERIALS AND METHODS

86

Materials. The 30 WSt samples (GfW1-14 declared as GF and W1-16 without specification

87

regarding gluten content) investigated in this study were either purchased or kindly donated

88

from the sources reported previously.36 Wheat gluten was provided by Sonneveld

89

(Papendrecht, The Netherlands), wheat kernels (cultivar Akteur, 2013) were donated by I.G.

90

Pflanzenzucht (Munich, Germany), α-chymotrypsin from bovine pancreas (TLCK treated, ≥ 40

91

units/mg enzyme) was from Sigma-Aldrich (Steinheim, Germany) and the reference material

92

PWG-gliadin37 was made available by Prof. Dr. Peter Koehler, Chairman of the Working Group

93

on Prolamin Analysis and Toxicity. Water for chromatographic separations and ELISA

94

measurements was purified using a Milli-Q Gradient A10 system (Millipore, Schwalbach,

95

Germany). The sandwich ELISA test kit RIDASCREEN® Gliadin (R-Biopharm, Darmstadt,

96

Germany) approved by the AOAC International38 and the AACC International39 was used for

97

immunological gluten determination as recommended by the Codex Alimentarius.9 The

98

RIDASCREEN® Gliadin competitive kit (R-Biopharm) was used for additional confirmation.

99 100

Methods. Fluorescence spectra. PWG-gliadin (0.5 mg/ml) was dissolved in 60% ethanol (v/v)

101

and vital gluten (0.5 mg/ml) was dissolved in 0.067 mol/l K2HPO4/KH2PO4-buffer (pH 7.6)/2-

5 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

102

propanol (1+1; v/v) containing 10 mg/ml dithiothreitol under nitrogen (gluten extraction

103

solution). Fluorescence excitation and emission spectra of these solutions were recorded on a

104

fluorescence spectrophotometer (Cary Eclipse, Agilent Technologies, Waldbronn, Germany) to

105

determine excitation and emission maxima.

106 107

HPLC-FLD at 277/345 nm and comparison to diode-array detection (DAD) at 210 nm. A Merck-

108

Hitachi LaChrom Elite HPLC system (Tokyo, Japan) was used for all analyses with an L-2130

109

pump, an L-2200 autosampler, an L-2480 fluorescence detector, an L-2450 DAD detector and

110

the software EZChrom Elite (version 3.1.1) for instrument control and data analysis. For RP-

111

HPLC, gluten proteins were separated on an AcclaimTM 300 C18 column (particle size 3 µm, pore

112

size 30 nm, 2.1 × 150 mm, ThermoFisher Scientific, Braunschweig, Germany) at 60 °C and a flow

113

rate of 0.3 ml/min with trifluoroacetic acid (TFA) (0.1%, v/v) in water (A) and TFA (0.1%, v/v) in

114

acetonitrile (B) with the following linear gradient: 0 min 24% B, 20 min 56% B, 21-26 min 90% B,

115

27-37 min 24% B. Gliadin and glutenin extracts of wheat flour (cv. Akteur, 2013)25 were injected

116

(10 µl) to study the qualitative protein profiles using RP-HPLC. For gel-permeation (GP-)HPLC,

117

gluten proteins were separated on a Biosep-SEC-S3000 column (4.6 x 300 mm, Phenomenex,

118

Aschaffenburg, Germany) with a separation range from 5,000 to 100,000 under isocratic

119

conditions with acetonitrile/water (1+1, v/v) containing 0.1% TFA (v/v) at 22 °C and a flow rate

120

of 0.3 ml/min.40 The injection volume was 10 µL. FLD was carried out with 277/345 nm as

121

excitation/emission wavelengths (FLD277/345) followed by DAD detection in the range from 200

122

to 300 nm. The same gliadin and glutenin extracts of wheat flour (cv. Akteur, 2013) were

123

injected (10 µl) to study the qualitative protein pattern using GP-HPLC. Linear dilutions of PWG-

124

gliadin in 60% (v/v) ethanol (0.25 - 50 µg/ml) and vital gluten in gluten extraction solution

6 Environment ACS Paragon Plus

Page 6 of 37

Page 7 of 37

Journal of Agricultural and Food Chemistry

125

(0.25 - 50 µg/ml) were injected (10 µl) to compare the sensitivity of FLD277/345 and DAD

126

detection at 210 nm (DAD210).41

127 128

Identification of the proteins within the peak (retention time 6.5-12.8 min) of a reduced

129

protein extract of GfW4 by LC-MS. GfW4 (32 g) was pre-extracted twice with 160 ml salt

130

solution (0.4 mol/l NaCl with 0.067 mol/l Na2HPO4/KH2PO4, pH 7.6), the supernatant discarded

131

and the residue extracted three times with 160 ml gluten extraction solution under nitrogen by

132

magnetic stirring at 60 °C. The combined supernatant was lyophilized and the sediment (1.04 g)

133

redissolved in 5 ml of gluten extraction solution at 60 °C (20 min). After filtration (WhatmanTM

134

Spartan 13/0.45 RC, GE Healthcare, Freiburg, Germany), 90 µl of this solution were injected into

135

the GP-HPLC-FLD system and the peak between 6.5-12.8 min corresponding to a molecular

136

weight range of approximately 30,000 - 100,000 was collected from 30 subsequent runs. The

137

eluate was dried in a vacuum centrifuge (40 °C, 6 h, 800 Pa). Three times 1 mg of the dried

138

eluate (yield of eluate: 5 mg in total) was reconstituted in 800 µl Tris-HCl buffer (0.1 mol/l, pH

139

7.8, with 2 mol urea/l) followed by the addition of 200 µl α-chymotrypsin (0.2 mg/ml in Tris-HCl

140

buffer) and incubation at 37 °C for 24 h.40 The digestion was stopped with 3 µl TFA and the

141

peptide mixture purified by solid-phase extraction on Strata-X-C devices (Phenomenex,

142

Aschaffenburg, Germany) as reported by Rombouts et al.42 After evaporation, the peptide

143

digest was dissolved in 500 µl formic acid (FA) (0.1%), filtered (0.45 µm) and analyzed by LC-MS

144

using an UltiMate 3000 HPLC system (Dionex, Idstein, Germany) linked to an HCTultra PTM ion

145

trap MS (Bruker Daltonics, Bremen, Germany) with collision-induced dissociation (CID). The

146

peptides were separated on an Aeris 3.6 µm PEPTIDE XB-C18 column (pore size 10 nm, 2.1 × 150

147

mm, Phenomenex) with FA (0.1%, v/v) in water (A) and FA (0.1%, v/v) in acetonitrile (B) as

148

elution solvents, an injection volume of 10 µl, a flow rate of 0.2 ml/min, a column temperature

7 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

149

of 30 °C and the following gradient: 0-5 min 0% B, 45 min 30% B, 55-60 min 90% B, 62-77 min

150

0% B. The ESI interface was operated in the positive mode with capillary voltage -4000 V,

151

capillary exit voltage -1500 V, skimmer voltage 40 V, and nitrogen as drying (8.0 l/min, 325 °C)

152

and nebulizing gas (207 kPa). The scan was standard enhanced mode with range m/z 500 -

153

3000, speed 8.1 m/z/s, smart target value 300,000, maximum acquisition time 100 ms. The

154

MS/MS settings were Auto-MS(n), absolute threshold 10,000, relative threshold 0.5%,

155

fragmentation amplitude 0.4 V and helium as collision gas.

156

The acquired MS/MS data files were analyzed using the Bruker Daltonics Data Analysis 3.4 and

157

BioTools 3.2 software (Bruker Daltonics) to generate a Mascot Generic File (*.mgf), which was

158

used in the MS/MS ions search module of the Mascot software (Matrix Science, London, UK)

159

based on the National Center for Biotechnology Information non-redundant (NCBInr) database

160

(U.S. National Library of Medicine, Bethesda, MD, USA) of February 2014 with taxonomy

161

Viridiplantae, peptide mass tolerance ± 0.5%, fragment mass tolerance ± 0.5, monoisotopic

162

mass values, peptide charges +1, +2, +3, enzyme chymotrypsin, maximum number of missed

163

cleavages 1 and ammonia-loss as variable modification. Based on the peptide mass fingerprints,

164

peptide ion scores were calculated as -10 × log(P), with P being the probability that the

165

observed match is a random event. Peptide scores > 40 indicated identity or extensive

166

homology (p < 0.05)42 and scores between 15 and 40 were additionally validated manually

167

according to Chen et al.43 Protein scores are derived from peptide ion scores as a non-

168

probabilistic basis for ranking protein hits and are the sum of the highest ions score for each

169

distinct sequence excluding duplicate and low-scoring random matches (for searches with a

170

small number of queries). The sequence of each detected peptide was additionally entered into

171

the BLAST tool (E-threshold 10, hits 1000) of the UniProtKB database (The UniProt Consortium)

172

and the number of protein hits which contained the peptide with a sequence identity of 100%

8 Environment ACS Paragon Plus

Page 8 of 37

Page 9 of 37

Journal of Agricultural and Food Chemistry

173

within Triticeae was counted. No adjustment for multiple occurrences of one peptide within

174

one protein sequence was made. To assess possible CD-toxicity/-immunogenicity of the

175

identified peptides, the peptide sequences were entered into the Peptide Exact Match tool of

176

the AllergenOnline database (Food Allergy Research and Resource Program, University of

177

Nebraska-Lincoln, Lincoln, NE, USA).

178 179

Extraction of gliadin, glutenin and gluten from wheat starches. WSt (1 g) were pre-extracted

180

twice with 5 ml salt solution by vortex mixing for 15 min (multi-tube vortexer VX 2500, VWR,

181

Darmstadt, Germany) followed by magnetic stirring for 30 min at 22 °C to remove residual

182

proteins soluble in dilute saline (albumins/globulins). The samples were centrifuged (3,550 g,

183

25 min, 22 °C) and the supernatants discarded. Then the residue was extracted once with 5 ml

184

60% ethanol by vortex mixing for 15 min followed by magnetic stirring for 30 min at 22°C and

185

centrifugation to yield the gliadin extract. Subsequently, this residue was further extracted once

186

with 5 ml gluten extraction solution under nitrogen by vortex mixing for 15 min followed by

187

magnetic stirring for 30 min at 60 °C in a water bath and centrifugation to yield the glutenin

188

extract. The gluten extract was obtained in a separate experiment after saline pre-extraction by

189

omitting the gliadin extract and direct extraction of the albumin/globulin-free residue with 5 ml

190

gluten extraction solution, as described for the glutenin extract. All supernatants were filtered

191

(0.45 µm) and analyzed by GP-HPLC-FLD-DAD. Three sample extracts (W8, W11, W15) had to be

192

diluted appropriately to fall within the calibration range. All WSt were analyzed in triplicate, i.e.

193

three experiments for gliadin and glutenin extraction and another three experiments for gluten

194

extraction. The peak area of the peak between 6.5-12.8 min was used for quantitation, because

195

of its similar retention timeframe to the one determined with pure PWG-gliadin and vital gluten

196

solutions as well as the confirmatory LC-MS results. Glutenin contents were calculated both

9 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

197

from the glutenin extraction itself and from the difference between gluten and gliadin contents.

198

One-way analysis of variance (ANOVA) with Tukey’s test (p < 0.05) was used to assess whether

199

significant differences existed between both procedures (glutenin extraction vs. difference

200

between gluten and gliadin) for the same sample (SigmaPlot 12.0, Systat Software, San Jose,

201

CA, USA).

202 203

Matrix calibration for GP-HPLC-FLD. To obtain a definitely GF matrix, GfW4 (800 g) was

204

extracted five times with gluten extraction solution as described above. The starch residue

205

(GfWgf) was lyophilized and checked for any residual gluten using the RIDASCREEN Gliadin and

206

RIDASCREEN Gliadin competitive ELISAs and LC-MS as described above. The albumin/globulin,

207

gliadin, and glutenin contents of wheat flour (cv. Akteur, 2013) were determined by sequential

208

extraction and RP-HPLC-UV as described earlier.25 One gram of wheat flour contained 13.0 ± 0.4

209

mg albumins/globulins, 75.9 ± 2.6 mg gliadins, and 37.2 ± 0.8 mg glutenins on an as-is basis.

210

Then GfWgf (100 g) was spiked with the appropriate amount of wheat flour to obtain 1000 mg

211

gliadin/kg and homogenized by shaking upside down for 24 h. This stock mixture was further

212

diluted with GfWgf to obtain 10, 20, 35, 50, 100, and 200 mg gliadin/kg (GfWgf + 10/20/35/50/

213

100/200), which corresponded to 16, 31, 55, 79, 157, and 315 mg gluten/kg (GfWgf +

214

16/31/55/79/157/315). Homogeneity of the spiked sample (GfWgf + 50) was checked by

215

analyzing 10 replicates from different parts of the container44 by GP-HPLC-FLD. The GfWgf

216

matrix and the five spiked samples (GfWgf + 16/31/79/157/315) were analyzed in triplicates on

217

the same day as described above for the wheat starch samples. The additional spiked sample

218

(GfWgf + 55) was used to check the recovery of the method.

219

10 Environment ACS Paragon Plus

Page 10 of 37

Page 11 of 37

Journal of Agricultural and Food Chemistry

220

Limits of detection and quantitation, precision and recovery for GP-HPLC-FLD. The signals of

221

the gliadin, glutenin and gluten extracts of GfWgf plus 3 and 10 times their respective standard

222

deviations (n = 10) were considered to be the limits of detection (LODs) and LOQs,

223

respectively.44,45 Interassay precision was determined three times over the course of six weeks

224

by triplicate analyses of two WSt samples (W7, W12) that contained gliadin, glutenin and gluten

225

all above the determined LOQ. The recovery was calculated from the peak areas of an

226

additional GfWgf sample spiked at a level of 55 mg gluten/kg using the matrix calibration and

227

expressed as percentage of the spiking level.

228 229

Sandwich R5 ELISA. The gluten contents obtained after GP-HPLC-FLD analysis were compared

230

to those measured by RIDASCREEN Gliadin (R-Biopharm). All WSt samples were extracted with

231

Cocktail (patented)46 strictly according to the manufacturer’s instructions and the following test

232

procedure was also performed exactly as described. WSt were extracted in triplicates and each

233

extract was applied into two cavities of the 96-well plate (n = 6). Additional dilutions of sample

234

extracts were made, if necessary. The standard provided in the kit was used for calibration and

235

the gliadin contents were multiplied by a factor of 2 to yield gluten contents.9 To see whether

236

significant differences existed between gliadin or gluten contents determined by R5 ELISA vs.

237

those by GP-HPLC-FLD within one WSt sample, one-way ANOVA with Tukey’s test (p < 0.05) was

238

used. Pearson product moment correlations were calculated between gliadin and gluten

239

contents quantitated by R5 ELISA and GP-HPLC-FLD (SigmaPlot 12.0).

240 241

RESULTS AND DISCUSSION

242

Excitation/emission maxima of gluten proteins. The fluorescence spectra recorded for the

243

gluten solution indicated an excitation maximum at 277 nm. When the wavelength 277 nm was

11 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

244

used for excitation, the corresponding emission maximum was at 345 nm (Figure 1). The same

245

maxima were observed for PWG-gliadin solutions (not shown), so that the excitation/emission

246

wavelengths 277/345 nm were used as optimal combination for the HPLC-FLD method. An

247

excitation maximum around 280 nm is typical for proteins and due to both tyrosine (quantum

248

yield 0.14) and tryptophan (quantum yield 0.13). Fluorescence originating from phenylalanine is

249

rarely observed for proteins, because the excitation/emission maxima are at 260/295 nm and

250

the quantum yield is low (0.03).28 Gluten proteins contain very low amounts of tryptophan (0.4-

251

0.6 mol-%),47 so that the observed fluorescence appears to come mostly from tyrosine, which is

252

present in its tyrosinate form at neutral or alkaline pH and then emits at 345 nm instead of 303

253

nm. Tyrosinate emission, as seen here for gluten proteins, has been reported for other proteins

254

with little or no tryptophan, e.g., β-purothionin.28

255 256

Qualitative detection of gluten proteins by FLD compared to DAD. Wheat gliadins and

257

glutenins show characteristic qualitative elution patterns when analyzed by RP- and GP-HPLC

258

combined with UV detection at 210 nm.25,41,48-50 Therefore, the first step was to compare the

259

qualitative protein profiles of gliadin and glutenin extracts from wheat flour detected by DAD210

260

to those detected by FLD277/345, using both RP- and GP-HPLC for protein separation. Figure 2A

261

shows the typical RP-HPLC pattern for gliadins detected by DAD210, with 9.1% ω5-, 6.8% ω1,2-,

262

57.0% α- and 27.1% γ-gliadins (given as percentages referred to the total area). Using FLD277/345,

263

the relative amounts of gliadin protein types shifted, resulting in 2.3% ω5-, 6.1% ω1,2-, 49.4%

264

α- and 42.2% γ-gliadins (Figure 2B). The small peak area for ω5-gliadins may be explained by

265

their low tyrosine content (0.6-0.7 mol-%).51 α-Gliadins were clearly detected by FLD277/345 (2.3-

266

3.2 mol-% tyrosine),51 but γ-gliadins were detected with the highest sensitivity, although their

267

average tyrosine content (0.6-1.4 mol-%)51 is lower than that of α-gliadins. This may be

12 Environment ACS Paragon Plus

Page 12 of 37

Page 13 of 37

Journal of Agricultural and Food Chemistry

268

explained by the fact that the spectral properties of proteins are hard to predict due to effects

269

of the secondary and tertiary structure.28 For glutenins, the DAD210 chromatogram (Figure 2C)

270

showed 3.7% ωb-gliadins, 33.8% HMW- and 62.5% LMW-GS. In comparison, FLD277/345 was

271

particularly suitable for the detection of HMW-GS, resulting in 2.2% ωb-gliadins, 55.2% HMW-

272

and 36.4% LMW-GS (Figure 2D). HMW-GS contain the highest tyrosine amounts (5.1-6.4 mol-

273

%)51 of all gluten protein types and were thus detected with high sensitivity. Corresponding

274

observations were made using GP-HPLC. The shape of the gliadin peak was similar both by

275

DAD210 and FLD277/345 (Figure 3), but HMW-GS (first peak in glutenin extract, retention time 6.5-

276

7.8 min) were detected with higher sensitivity than LMW-GS (second peak in glutenin extract,

277

retention time 7.8-12.8 min) by FLD277/345 compared to DAD210. The DAD210 chromatogram

278

yielded 17.8% HMW- and 82.2% LMW-GS (Figure 3A), whereas the distribution changed to

279

36.0% HMW- and 64.0% LMW-GS by FLD277/345 (Figure 3B). Because interfering peaks from the

280

starch matrix were detected in RP-HPLC-FLD in the retention time window of 18-23 min, thus

281

co-eluting with gluten proteins (not shown), GP-HPLC-FLD was chosen for all further analyses of

282

WSt samples. To compare the sensitivity of FLD277/345 vs. DAD210, linear dilutions of PWG-gliadin

283

and gluten solutions (0.0025-0.5 µg) were injected (n = 3), detected by both FLD and DAD in

284

one run, and the peak areas compared using the most sensitive photomultiplier voltage setting

285

(super-high) of the FLD. While the LOD of the FLD was at 0.005 µg PWG-gliadin or 0.0025 µg

286

gluten, the LOD of the DAD was much higher at 0.1 µg PWG-gliadin or gluten. The comparison

287

of peak areas at 0.25 µg, where both detectors showed a clear signal, revealed a 36-fold (PWG-

288

gliadin) and 113-fold (gluten) higher sensitivity of FLD compared to DAD. The difference in

289

sensitivity between PWG-gliadin and gluten may also be explained by the highly sensitive

290

detection of HMW-GS within gluten due to their high tyrosine content. Having ascertained the

291

general suitability of the GP-HPLC-FLD method to detect gluten proteins with better sensitivity

13 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

292

compared to UV detection, it was subsequently applied to the quantitation of gliadin, glutenin

293

and gluten contents of WSt.

294 295

Identification of the proteins within the peak (retention time 6.5-12.8 min) of a reduced

296

protein extract of GfW4 by LC-MS. GfW4 was GF by sandwich R5 ELISA (gluten content

297

12.2 ± 1.1 mg/kg), but the GP-HPLC-FLD method yielded a higher gluten content of 44.9 ± 1.0

298

mg/kg (see below). To ascertain that the “gluten” peak (6.5-12.8 min) used for quantitation

299

really contained gluten, not only inferred from similarity of retention times (Figures 3 and 4),

300

the proteins contained within this peak were collected from several GP-HPLC runs and

301

identified by LC-MS after chymotryptic digestion.40 All compounds with retention times beyond

302

12.8 min were not considered to be relevant for gluten quantitation, because of low molecular

303

weights (Mr < 30,000) and non-dose-dependent behavior (Figure 4). The majority of peptides in

304

the gluten extract of GfW4 were derived from LMW-GS, but peptides from α-gliadins, HMW-GS

305

and starch synthases were identified as well (Table 1). LMW-GS were assigned as first protein

306

hit by the database in most cases, but many of these peptides may be found both in LMW-GS

307

and γ-gliadins (e.g., SIILQEQQQGF also in γ-gliadin P04729.1), because these gluten protein

308

types share similar sequence sections.2 The proteins corresponding to the identified peptides

309

had Mr in the range from ≈30,000 to ≈86,000 as expected on the basis of GP-HPLC retention

310

times. Some peptide sequences with single amino acid exchanges (e.g., GQQPQQQKL,

311

GKQPQQQQL, GQQPEQQQL or LQPHKIAQL or VQQQLPVVQPSIL or SQQQQPVIPQQPSF;

312

exchanged position in bold) were detected as well. Most of the peptides seemed to be typical

313

of HMW-GS, LMW-GS/γ-gliadins and α-gliadins, because they matched 4 up to 572 other

314

UniProtKB database entries and had high protein scores calculated by the Mascot software.

315

Several protein sequences had two or more matching peptides (e.g., the peptides LQPHQIAQL,

14 Environment ACS Paragon Plus

Page 14 of 37

Page 15 of 37

Journal of Agricultural and Food Chemistry

316

GQQPQQQQL, VLPQQQIPF and SHHQQQQPIQQQPQPF were all found within LMW-

317

GS ACA63873.1). Four peptides contained HLA-DQ2-mediated CD-immunogenic epitopes

318

(underlined or in italics in Table 1), but since the LC-MS method employed only provided

319

qualitative results, no estimation of peptide quantities was attempted. These findings are in

320

accordance with earlier studies that reported the presence of a multitude of proteins in

321

commercial starches, including gluten proteins, with glutenins being more frequent than

322

gliadins.52 The peptide RPQQPYPQPQPQY has already been used as a marker peptide to detect

323

wheat flour contaminations in oat flour by targeted LC-MS13 and may thus also be suitable for

324

gliadin detection in WSt. However, the problem with gluten quantitation in WSt seems to be

325

the higher relative abundance of glutenins compared to gliadins,25 because the R5 and G12

326

monoclonal antibodies used in gluten ELISA test kits show low reactivities with glutenins20 and

327

may thus underestimate gluten contents. The presence of starch synthases within the GP-HPLC

328

“gluten” peak could not be avoided, because their Mr of ≈66,300 and ≈67,700 was in between

329

those of HMW-GS and LMW-GS/gliadins. Because they are located within the starch granules,52

330

they must have been co-extracted with glutenins during heating to 60 °C, which leads to starch

331

gelatinization. Unfortunately, it was impossible to eliminate these starch synthases either

332

through pre-extraction or chromatographic separation, neither by RP- nor by GP-HPLC, so that

333

the quantitative GP-HPLC-FLD results had to be corrected for these internal proteins by matrix

334

calibration.

335 336

Matrix calibration for GP-HPLC-FLD. A definitely GF WSt matrix was obtained after extracting

337

GfW4 five times with gluten extraction solution and lyophilization. The starch residue (GfWgf)

338

contained gliadin/gluten below the LOQs of the R5 sandwich (2.5/5 mg/kg) and R5 competitive

339

(5/10 mg/kg) ELISAs. For confirmation, the “gluten” peak (6.5-12.8 min) from GfWgf (Figure 4C)

15 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

340

was collected again from several GP-HPLC runs, digested with chymotrypsin and the peptide

341

spectrum detected by LC-MS. Overall, only one peptide was assigned within Triticeae,

342

ELGVEGSEPGVIGEEIAPL derived from starch synthase with a comparatively low peptide score of

343

21. Peptides derived from gluten proteins could not be detected anymore, so that GfWgf was

344

deemed suitable as matrix for spiking purposes. Five different levels of wheat flour were spiked

345

for the calibration to yield gluten contents of 16, 31, 79, 157 and 315 mg/kg, composed of 10,

346

20, 50, 100 and 200 mg gliadin/kg and 6, 11, 29, 57 and 115 mg glutenin/kg. The gliadin,

347

glutenin and gluten extracts of GfWgf and the five spiked levels were analyzed by GP-HPLC-FLD

348

(n = 10 for GfWgf + 50, n = 3 for all others). The coefficient of variation (CV) was 3.1% for the

349

GfWgf + 50 sample and, therefore, acceptable for homogeneity.53 All calibration lines

350

constructed using the peak areas and the calculated gliadin, glutenin and gluten contents

351

(Figure 5) had R² values >0.995. The peak area of the unspiked GfWgf matrix was smallest for

352

the gliadin extract (Figure 4A) and highest for the gluten extract (Figure 4C), which was

353

reflected in the y-intercepts of the linear equations that allowed the correction for non-gluten

354

proteins.

355 356

LODs, LOQs, precision and recovery for GP-HPLC-FLD. The calculation of LODs and LOQs was

357

based on the signals of the gliadin, glutenin and gluten extracts of GfWgf plus 3 and 10 times

358

their respective standard deviations (n = 10).44,45 The LODs and LOQs were 3.0 and 5.4 mg/kg

359

for gliadins, 3.3 and 10.2 mg/kg for glutenins and 9.0 and 17.2 mg/kg for gluten, respectively.

360

As such, the GP-HPLC-FLD method fulfilled the requirement for an LOD of 10 mg gluten/kg or

361

below, as stated in Codex Standard 118-1979.9 Interassay precision (n = 3 × 3) was determined

362

as CV of 2.6% for gliadins (30.3 ± 0.8 mg/kg), 6.3% for glutenins (25.5 ± 1.6 mg/kg) and 8.1% for

363

gluten (55.8 ± 4.5 mg/kg) extracted from W7. For W12, the CVs were 7.2% for gliadins

16 Environment ACS Paragon Plus

Page 16 of 37

Page 17 of 37

Journal of Agricultural and Food Chemistry

364

(20.9 ± 1.5 mg/kg), 4.7% for glutenins (37.9 ± 1.8 mg/kg) and 6.3% for gluten (58.8 ± 3.7 mg/kg).

365

The overall values for CV ranged from 2.6 to 8.1%, which was comparable to the 5.5% (range

366

2.7-11.0%) recommended for an analyte concentration of 55 mg/kg,54 so that the precision of

367

the GP-HPLC-FLD method was considered satisfactory. Recovery was calculated from triplicate

368

measurements of one additional GfWgf sample (GfWgf + 35) spiked to a gliadin content of 35

369

mg/kg, corresponding to a glutenin content of 20 mg/kg and a gluten content of 55 mg/kg. For

370

gliadin, recovery was 92 ± 4%, for glutenin 101 ± 5% and for gluten 103 ± 7%. All recovery

371

values lay within the recommended 85-110% limits (100 mg/kg).54 For glutenins, the contents

372

were calculated both from the glutenin extraction itself and from the difference between

373

gluten and gliadin contents. Both ways agreed well and showed no significant differences

374

(p > 0.05) for the W7 and W12 samples. Further on, glutenin contents are given derived from

375

the glutenin extraction (Table 2). Having established that the GP-HPLC-FLD method met the

376

required performance criteria, it was subsequently applied to the quantitation of gliadin,

377

glutenin and gluten in 30 WSt samples, 14 of them declared as GF.

378 379

Analysis of gliadin and glutenin in WSt using GP-HPLC-FLD. The gliadin contents of GfW1-14

380

(declared as GF) analyzed by GP-HPLC-FLD ranged from < 5.4 mg/kg to 17.7 mg/kg (GfW12).

381

Looking at the W1-16 samples without specification regarding the gluten content, the range of

382

gliadin contents was much broader from < 5.4 mg/kg to 7757.3 mg/kg (W8) (Table 2). In total, 6

383

out of 30 WSt contained gliadin below the LOQ (5.4 mg/kg). The glutenin contents of GfW1-14

384

were between < 10.2 mg/kg and 58.9 mg/kg (GfW6) and those of W1-16 ranged from < 10.2

385

mg/kg to 2614.5 mg/kg (W8). Overall, 5 out of 30 WSt contained glutenin below the LOQ (10.2

386

mg/kg) and 3 out of 30 WSt contained both gliadin and glutenin below the respective LOQs

387

(GfW2, W2, W9). W8 and W15 had exceptionally high gliadin and glutenin contents compared

17 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

388

to the other 28 samples. The resulting gli/glu ratios lay between 0.19 and 0.52 (mean: 0.40 ±

389

0.07, median: 0.40) for GfW1-14 and between 0.39 and 2.97 (mean: 1.14 ± 0.75, median: 0.91)

390

for W1-16. From the 22 WSt samples that allowed the calculation of gli/glu ratios, 16 ratios

391

were below 1.0, indicating that gliadins had been removed more extensively than glutenins

392

during industrial processing, as has been described before for WSt prepared on a laboratory

393

scale25 and also industrial WSt that were not destined for the production of GF foods.24 Here,

394

these low gli/glu ratios (≤ 0.52) were also shown for industrial GfW that were declared as GF.

395 396

Comparison of GP-HPLC-FLD and R5 ELISA results for gliadin and gluten contents of WSt. The

397

gliadin and gluten contents determined by GP-HPLC-FLD were also compared to those by R5

398

ELISA. The gliadin contents showed a medium correlation49 (r = 0.752, p < 0.001) between both

399

methods based on 21 WSt samples, excluding W8, W11 and W15 with exceptionally high gliadin

400

contents (due to their disproportionate influence on correlation analyses) and the 6 samples

401

with values below the LOQ of either or both methods. The R5 ELISA resulted in significantly

402

lower gliadin contents compared to GP-HPLC-FLD in 15 out of 24 cases with values above the

403

LOQ of both methods, in higher contents in 5 cases and there were no significant differences

404

(p > 0.05) in 4 cases. Looking at the gluten contents, the comparison of GP-HPLC-FLD and R5

405

ELISA also resulted in a medium correlation (r = 0.688, p < 0.001) between both methods based

406

on 22 WSt samples, again excluding W8, W11 and W15 and the 5 samples with gluten contents

407

below the LOQs. In comparison to the R5 ELISA (gluten = gliadin × 2), the gluten contents

408

quantitated by GP-HPLC-FLD (gluten = gliadin + glutenin) were significantly higher in 18 out of

409

25 cases with results above the LOQs. There were no significant differences in the remaining 7

410

cases, including the W8, W11 and W15 samples with high gluten contents (Figures 6 and 7).

411

Among the 14 GfW, 12 were GF (gluten content < 20 mg/kg)9 by R5 ELISA and 2 had gluten

18 Environment ACS Paragon Plus

Page 18 of 37

Page 19 of 37

Journal of Agricultural and Food Chemistry

412

contents above 20 mg/kg (GfW8: 29.7 ± 2.7 mg/kg and GfW11: 21.2 ± 2.1 mg/kg). According to

413

GP-HPLC-FLD, only 2 out of the 14 GfW were GF (GfW1 and GfW2, that were also GF by R5

414

ELISA), but the other 12 samples contained gluten in the range between 25.6 mg/kg to 69.0

415

mg/kg. The higher gluten contents found by GP-HPLC-FLD were mostly attributable to the

416

occurrence of glutenins with quantities in the range of 23.1 mg/kg to 58.9 mg/kg (Table 2).

417

Glutenins are recognized with low sensitivity by the R5 antibody and thus largely escape

418

detection by R5 (and also G12) antibody-based ELISAs.20 Out of the 16 W, 3 were GF both by R5

419

ELISA and GP-HPLC-FLD (W2, W9, W16), 2 were GF by R5 ELISA, but not by GP-HPLC-FLD (W1

420

and W5) and the other 11 samples were gluten-containing according to both methods. Taken

421

together, these findings highlight the importance of using methods for gluten quantitation that

422

are capable of detecting both gliadins and glutenins. The GP-HPLC-FLD method revealed that

423

considerable amounts of glutenins were detectable in most WSt. Gluten contents expressed as

424

sum of gliadins and glutenins were higher in 19 out of 26 cases than gluten contents given by

425

ELISA quantitation of gliadins followed by duplication, especially in GfW. Due to its rather low

426

selectivity, GP-HPLC-FLD for gluten detection appears to be limited to raw materials such as

427

starches or flours, because proteins from other sources (e.g., milk, egg) commonly present in

428

GF products may interfere. Despite this disadvantage, the new HPLC method described here

429

may be applied in smaller laboratories without highly sophisticated LC-MS equipment, e.g., as a

430

confirmatory method to ELISA to check for the presence of glutenins within WSt.

431 432

ABBREVIATIONS USED

433

CD, celiac disease; CID, collision-induced dissociation; DAD, diode-array detection; ELISA,

434

enzyme-linked immunosorbent assay; ESI, electrospray ionization; FA, formic acid; GF, gluten-

435

free; GP-HPLC-FLD, gel-permeation high-performance liquid chromatography with fluorescence

19 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

436

detection; HMW-GS, high-molecular weight glutenin subunits; LC-MS, liquid chromatography

437

mass spectrometry; LMW-GS, low-molecular weight glutenin subunits; LOD, limit of detection;

438

LOQ, limit of quantitation; PWG, Prolamin Working Group; RP, reversed-phase; TFA,

439

trifluoroacetic acid, WSt, wheat starch

440 441

ACKNOWLEDGMENT

442

The authors would like to thank Ms. Angelika Grassl and Ms. Ines Otte for excellent technical

443

assistance.

444 445

Funding

446

This research was funded by the German Federal Ministry of Education and Research via the

447

VDI Technologiezentrum GmbH, grant number 13GW0042 (GLUTEVIS: Optical fluorescent rapid

448

test system for sensitive gluten detection).

449 450

Notes

451

The authors declare no competing financial interest.

20 Environment ACS Paragon Plus

Page 20 of 37

Page 21 of 37

Journal of Agricultural and Food Chemistry

452

REFERENCES

453 454 455

1.

Wieser, H.; Koehler, P.; Konitzer, K. Gluten – the precipitating factor. In Celiac disease and gluten – Multidisciplinary challenges and opportunities, edition 1; Wieser, H., Koehler, P., Konitzer, K., Eds.; Academic Press Elsevier: London, Waltham, San Diego, 2014; pp. 97-149

456 457 458

2.

Dupont, F.M.; Vensel, W.H.; Tanaka, C.K.; Hurkman, W.J.; Altenbach, S.B. Deciphering the complexities of the wheat flour proteome using quantitative two-dimensional electrophoresis, three proteases and tandem mass spectrometry. Proteome Sci. 2011, 9, 10

459 460

3.

Scherf, K.A.; Koehler, P.; Wieser, H. Gluten and wheat sensitivities – an overview. J. Cereal Sci. 2016, 67, 2-11.

461 462 463 464

4.

Ludvigsson, J.F.; Leffler, D.A.; Bai, J.C.; Biagi, F.; Fasano, A.; Green, P.H.R.; Hadjivassiliou, M.; Kaukinen, K.; Kelly, C.P.; Leonard, J.N.; Lundin, K.E.; Murray, J.A.; Sanders, D.S.; Walker, M.M.; Zingone, F.; Ciacci, C. The Oslo definitions for coeliac disease and related terms. Gut. 2013, 62, 43-52.

465 466 467 468

5.

Catassi, C.; Fabiani, E.; Iacono, G.; D’Agate, C.; Francavilla, R.; Biagi, F.; Volta, U.; Accomando, S.; Picarelli, A.; De Vitis, I.; Pianelli, G.; Gesuita, R.; Carle, F.; Mandolesi, A.; Bearzi, I.; Fasano, A. A prospective, double-blind, placebo-controlled trial to establish a safe gluten threshold for patients with celiac disease. Am. J. Clin. Nutr. 2007, 85, 160-166.

469 470

6.

Lionetti, E.; Gatti, S.; Pulvirenti, A.; Catassi, C. Celiac disease from a global perspective. Best Pract. Res. Clin. Gastroenterol. 2015, 29, 365-379.

471 472

7.

Tatham, A.S.; Shewry, P.R. Allergens in wheat and related cereals. Clin. Exp. Allergy. 2008, 38, 1712-1726.

473 474

8.

Fasano, A.; Sapone A.; Zevallos, V.; Schuppan, D. Nonceliac gluten sensitivity. Gastroenterology. 2015, 148, 1195-1204.

475 476

9.

Codex Standard 118-1979. Codex Standard for foods for special dietary use for persons intolerant to gluten, revised 2008, amended 2015.

477 478

10. Scherf, K.A.; Poms, R.E. Recent developments in analytical methods for tracing gluten. J. Cereal Sci. 2016, 67, 112-122.

479 480 481 482

11. Scharf, A.; Kasel, U.; Wichmann, G.; Besler, M. Performance of ELISA and PCR methods for the determination of allergens in food: an evaluation of six years of proficiency testing for soy (Glycine max L.) and wheat gluten (Triticum aestivum L.). J. Agric. Food Chem. 2013, 61, 10261-10272.

483 484 485

12. Chu, P.-T.; Lin, C.-S.; Chen, W.-J.; Chen, C.-F.; Wen, H.-W. Detection of gliadin in foods using a quartz crystal microbalance biosensor that incorporates gold nanoparticles. J. Agric. Food Chem. 2012, 60, 6483-6492.

486 487 488

13. Fiedler, K.L.; McGrath, S.C.; Callahan, J.H.; Ross, M.M. Characterization of grain-specific peptide markers for the detection of gluten by mass spectrometry. J. Agric. Food Chem. 2014, 62, 5835-5844. 21 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

489 490 491

14. Colgrave, M.L.; Goswami, H.; Byrne, K.; Blundell, M.; Howitt, C.A.; Tanner, G.J. Proteomic profiling of 16 cereal grains and the application of targeted proteomics to detect wheat contamination. J. Proteome Res. 2015, 14, 2659-2668.

492 493 494

15. Manfredi, A.; Mattarozzi, M.; Gianetto, M.; Careri, M. Multiplex liquid chromatographytandem mass spectrometry for the detection of wheat, oat, barley and rye prolamins towards the assessment of gluten-free product safety. Anal. Chim. Acta. 2015, 895, 62-70.

495 496 497

16. Martinez-Esteso, M.J.; Nørgaard, J.; Brohée, M.; Haraszi, R.; Maquet, A.; O’Connor, G. Defining the wheat gluten peptide fingerprint via a discovery and targeted proteomics approach. J. Proteomics. 2016, 147, 156-168.

498 499 500

17. Bugyi, Z.; Török, K.; Hajas, L.; Adonyi, Z.; Popping, B.; Tömösközi, S. Comparative study of commercially available gluten ELISA kits using an incurred reference material. Qual. Assur. Saf. Crop. 2013, 5, 79-87.

501 502

18. Diaz-Amigo, C.; Popping, B. Accuracy of ELISA detection methods for gluten and reference materials: a realistic assessment. J. Agric. Food Chem. 2013, 61, 5681-5688.

503 504 505

19. Sharma, G.M.; Khuda, S.E.; Pereira, M.; Slate, A.; Jackson, L.S.; Pardo, C.; Williams, K.M.; Whitaker, T.B. Development of an incurred cornbread model for gluten detection by immunoassays. J. Agric. Food Chem. 2013, 61, 12146-12154.

506 507 508

20. Rallabhandi, P.; Sharma, G.M.; Pereira, M.; Williams, K.M. Immunological characterization of the gluten fractions and their hydrolysates from wheat, rye and barley. J. Agric. Food Chem. 2015, 63, 1825-1832.

509 510 511

21. Bruins Slot I.D.; Bremer, M.G.E.G.; van der Fels-Klerx, I.; Hamer, R.J. Evaluating the performance of gluten ELISA test kits: the numbers do not tell the tale. Cereal Chem. 2015, 92, 513-521.

512 513 514 515

22. Tye-Din, J.A.; Stewart, J.A.; Dromey, J.A.; Beissbarth, T.; van Heel, D.A.; Tatham, A.; Henderson, K.; Mannering, S.I.; Gianfrani, C.; Jewell, D.P.; Hill, A.V.S.; McCluskey, J.; Rossjohn, J.; Anderson, R.P. Comprehensive, quantitative mapping of T cell epitopes in gluten in celiac disease. Sci. Transl. Med. 2010, 2, 41ra51.

516 517 518

23. Dewar, D.H.; Amato, M.; Ellis, H.J.; Pollock, E.L.; Gonzalez-Cinca, N.; Wieser, H.; Ciclitira, P.J. The toxicity of high molecular weight glutenin subunits of wheat to patients with coeliac disease. Eur. J. Gastroenterol. Hepatol. 2006, 18, 483-491.

519 520

24. Wieser, H.; Koehler, P. Is the calculation of the gluten content by multiplying the prolamin content by a factor of 2 valid? Eur. Food Res. Technol. 2009, 229, 9-13.

521 522 523

25. Scherf, K.A. Impact of the preparation procedure on gliadin, glutenin and gluten contents of wheat starches determined by RP-HPLC and ELISA. Eur. Food Res. Technol. In press, doi: 10.1007/s00217-016-2683-3.

524 525 526

26. Bruins Slot, I.D.; Bremer, M.G.E.G.; Hamer, R.J.; van der Fels-Klerx, H.J. Part of celiac population still at risk despite current gluten thresholds. Trends Food Sci. Technol. 2015, 43, 219-226. 22 Environment ACS Paragon Plus

Page 22 of 37

Page 23 of 37

Journal of Agricultural and Food Chemistry

527 528

27. Waffle, V. The new word on wheat starch. URL (http://www.glutenfreeliving.com/glutenfree-foods/ ingredients/new-word-on-wheat-starch/) (16. April 2016).

529 530 531

28. Lakowicz, J.R. Protein fluorescence. In Principles of fluorescence spectroscopy, edition 3; Lakowicz, J.R., Ed.; Springer Science+Business Media: New York, NY, USA, 2006; pp. 529569.

532 533 534

29. Sánchez-Machado, D.I.; Chavira-Willys, B.; López-Cervantes J. High-performance liquid chromatography with fluorescence detection for quantitation of tryptophan and tyrosine in a shrimp waste protein concentrate. J. Chromatogr. B. 2008, 863, 88-93.

535 536 537

30. Neurauter, G.; Scholl-Bürgi, S.; Haara, A.; Geisler, S.; Mayersbach, P.; Schennach, H.; Fuchs, D. Simultaneous measurement of phenylalanine and tyrosine by high performance liquid chromatography (HPLC) with fluorescence detection. Clin. Biochem. 2013, 46, 1848-1851.

538 539 540

31. Chan, K.C.; Veenstra, T.D.; Issaq, H.J. Comparison of fluorescence, laser-induced fluorescence, and ultraviolet absorbance detection for measuring HPLC fractionated protein/peptide mixtures. Anal. Chem. 2011, 83, 2394-2396.

541 542 543

32. Saraswat, S.; Snyder, B.; Isailovic, D. Quantification of HPLC-separated peptides and proteins by spectrofluorimetric detection of native fluorescence and mass spectrometry. J. Chromatogr. B. 2012, 902, 70-77.

544 545 546

33. Russell, J.D.; Hilger, R.T.; Ladror, D.T.; Tervo, M.A.; Scalf, M.; Shortreed, M.R.; Coon, J.J.; Smith, L.M. Parallel detection of intrinsic fluorescence from peptides and proteins for quantification during mass spectrometric analysis. Anal. Chem. 2011, 83, 2187-2193.

547 548 549

34. Lacroix, M.; Poinsot, V.; Fournier, C.; Couderc, F. Laser-induced fluorescence detection schemes for the analysis of proteins and peptides using capillary electrophoresis. Electrophoresis. 2005, 26, 2608-2621.

550 551 552

35. Bugusu, B.A.; Rajwa, B.; Hamaker, B.R. Interaction of maize zein with wheat gluten in composite dough and bread as determined by confocal laser scanning microscopy. Scanning. 2002, 24, 1-5.

553 554

36. Scherf, K.A. Gluten analysis of wheat starches with seven commercial ELISA test kits – up to six different values. Food Anal. Method. (revised)

555 556 557 558

37. Van Eckert, R.; Berghofer, E.; Ciclitira, P.J.; Chirdo, F.; Denery-Papini, S.; Ellis, H.-J.; Ferranti, P.; Goodwin, P.; Immer, U.; Mamone, G.; Mendez, W.; Mothes, T.; Novalin, S.; Osman, A.; Rumbo, M.; Stern, M.; Thorell, L.; Whim, A.; Wieser, H. Towards a new gliadin reference material – isolation and characterisation. J. Cereal Sci. 2006, 43, 331-341.

559 560 561 562

38. Immer, U.; Haas-Lauterbach, S. Gliadin as a measure of gluten in foods containing wheat, rye, and barley – enzyme immunoassay method based on a specific monoclonal antibody to the potentially celiac toxic amino acid prolamin sequences: collaborative study. J. AOAC Int. 2012, 95, 1118-1124.

563 564

39. Koehler, P.; Schwalb, T.; Immer, U.; Lacorn, M.; Wehling, P.; Don, C. AACCI Approved Methods Technical Committee report: collaborative study on the immunochemical 23 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

565 566

determination of intact gluten using an R5 sandwich ELISA. Cereal Foods World. 2013, 58, 36-40.

567 568

40. Walter, T.; Wieser, H.; Koehler, P. Production of gluten-free wheat starch by peptidase treatment. J. Cereal Sci. 2014, 60, 202-209.

569 570 571

41. Wieser, H.; Antes, S.; Seilmeier, W. Quantitative determination of gluten protein types in wheat flour by reversed-phase high-performance liquid chromatography. Cereal Chem. 1998, 75, 644-650.

572 573 574

42. Rombouts, I.; Lagrain, B.; Brunnbauer, M.; Delcour, J.A.; Koehler, P. Improved identification of wheat gluten proteins through alkylation of cysteine residues and peptide-based mass spectrometry. Sci. Rep. 2013, 3, 2279

575 576 577

43. Chen, Y.; Kwon, S.W.; Kim, S.C.; Zhao, Y. Integrated approach for manual evaluation of peptides identified by searching protein sequence databases with tandem mass spectra. J. Proteome Res. 2005, 4, 998-1005.

578 579 580

44. Thompson, M.; Ellison, S.L.R.; Wood, R. The international harmonized protocol for the proficiency testing of analytical chemistry laboratories. Pure Appl. Chem. 2006, 78, 145196.

581 582 583 584

45. Brera, C.; Debegnach, F.; de Santis, B.; Pannunzi, E.; Berdini, C.; Prantera, E.; Gregori, E.; Miraglia, M. Simultaneous determination of aflatoxins and ochratoxin A in baby foods and paprika by HPLC with fluorescence detection: a single-laboratory validation study. Talanta. 2011, 83, 1442-1446.

585 586 587

46. García, E.; Llorente, M.; Hernando, A.; Kieffer, R.; Wieser, H.; Méndez, E. Development of a general procedure for complete extraction of gliadins for heat processed and unheated foods. Eur. J. Gastroenterol. Hepatol. 2005, 17, 529-530.

588 589

47. Wieser, H.; Seilmeier, W.; Eggert, M.; Belitz, H.-D. Tryptophangehalt von Getreideproteinen [in German]. Z. Lebensm. Unters. Forsch. 1983, 177, 457-460.

590 591

48. Koenig, A.; Konitzer, K.; Wieser, H.; Koehler, P. Classification of spelt cultivars based on differences in storage protein compositions from wheat. Food Chem. 2015, 168, 176-182.

592 593

49. Thanhaeuser, S.; Wieser, H.; Koehler, P. Correlation of quality parameters with the baking performance of wheat flours. Cereal Chem. 2014, 91, 333-341.

594 595 596

50. Gupta, R.B.; Khan, K.; MacRitchie, F. Biochemical basis of flour properties in bread wheats. I. Effects of variation in the quantity and size distribution of polymeric protein. J. Cereal Sci. 1993, 18, 23-41.

597 598 599

51. Belitz, H.-D.; Grosch, W.; Schieberle, P. Cereals and cereal products - Proteins. In Food chemistry. edition 4; Belitz, H.-D.; Grosch, W.; Schieberle, P., Eds.; Springer-Verlag: Berlin, Heidelberg, Germany, 2009; pp. 674-695.

24 Environment ACS Paragon Plus

Page 24 of 37

Page 25 of 37

Journal of Agricultural and Food Chemistry

600 601 602

52. Kasarda, D.D.; Dupont, F.M.; Vensel, W.H.; Altenbach, S.B.; Lopez, R.; Tanaka, C.K.; Hurkman, W.J. Surface-associated proteins of wheat starch granules: suitability of wheat starch for celiac patients. J. Agric. Food Chem. 2008, 56, 10292-10302.

603 604 605

53. Thompson, M.; Ellison, S.L.R.; Wood, R. The international harmonized protocol for the proficiency testing of analytical chemistry laboratories. Pure Appl. Chem. 2006, 78, 145196.

606 607

54. AOAC International. AOAC Official Methods of Analysis. Appendix K: Guidelines for dietary supplements and botanicals. AOAC, Gaithersburg, MD, USA. 2012.

608 609 610 611

55. Vader, W.; Kooy, Y.; Van Veelen, P.; De Ru, A.; Harris, D.; Benckhuijsen, W.; Pena, S.; Mearin, L.; Drijfhout, J.W.; Koning, F. The gluten response in children with celiac disease is directed toward multiple gliadin and glutenin peptides. Gastroenterology. 2002, 122, 17291737.

612 613

56. Koning, F.; Gilissen, L.; Wijmenga, C. Gluten: a two-edged sword. Immunopathogenesis of celiac disease. Springer Semin Immunopathol. 2005, 27, 217-232.

614 615 616 617

57. Vader, W.; Stepniak, D.; Kooy, Y.; Mearin, L.; Thompson, A.; van Rood, J.J.; Spaenij, L.; Koning, F. The HLA-DQ2 gene dose effect in celiac disease is directly related to the magnitude and breadth of gluten-specific T cell responses. Proc. Natl. Acad. Sci. USA. 2003, 100, 12390-12395.

25 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

618

Figure Captions

619

Figure 1. Fluorescence spectra of gluten solutions (0.5 mg/ml). (A) Excitation maximum of

620

gluten. (B) Emission maximum of gluten after excitation at 277 nm.

621 622

Figure 2. Reversed-phase-HPLC chromatograms of gluten fractions extracted from wheat flour.

623

Gliadins, detected by diode-array detection at 210 nm (DAD210) (A) and by fluorescence

624

detection at 277/345 nm (FLD277/345) (B). Glutenins, detected by DAD210 (C) and by FLD277/345 (D).

625

ω5, ω5-gliadins; ω1,2, ω1,2-gliadins; α, α-gliadins; γ, γ-gliadins; ωb, ωb-gliadins; HMW, high-

626

molecular-weight glutenin subunits; LMW, low-molecular-weight glutenin subunits; AU,

627

absorbance units; FLU, fluorescence units.

628 629

Figure 3. Gel-permeation-HPLC chromatograms of gluten fractions extracted from wheat flour.

630

Gliadins and glutenins, detected by diode-array detection at 210 nm (DAD210) (A) and by

631

fluorescence detection at 277/345 nm (B). The peak at 14 min in the glutenin extract detected

632

by DAD210 consists of the reducing agent DTT. AU, absorbance units; FLU, fluorescence units.

633 634

Figure 4. GP-HPLC-FLD chromatograms of gliadin (A), glutenin (B) and gluten (C) extracts of

635

gluten-free GfW4 (GfWgf) and the GfWgf samples spiked with wheat flour for matrix calibration

636

to obtain 10, 20, 50 and 100 mg gliadin/kg (GfWgf + 10/20/50/100 mg/kg) (A), corresponding to

637

6, 11, 29 and 57 mg glutenin/kg (GfWgf + 6/11/29/57 mg/kg) (B) and to 16, 31, 79 and 157 mg

638

gluten/kg (GfWgf + 16/31/79/157 mg/kg) (C). The peak with retention times between 6.5-12.8

639

min was used for quantitation of gliadins, glutenins and gluten. FLU, fluorescence units.

640

26 Environment ACS Paragon Plus

Page 26 of 37

Page 27 of 37

Journal of Agricultural and Food Chemistry

641

Figure 5. Matrix calibration lines obtained for gliadin (A), glutenin (B) and gluten extracts (C) of

642

GfWgf and GfWgf + 10/20/50/100/200 mg/kg for gliadins (A), GfWgf and GfWgf + 6/11/29/57/115

643

mg/kg for glutenins (B) and GfWgf and GfWgf + 16/31/79/157/315 mg/kg for gluten (C). FLU,

644

fluorescence units.

645 646

Figure 6. Gluten contents of wheat starches declared as gluten-free (GfW1-14) determined by

647

GP-HPLC-FLD (gluten as sum of gliadin and glutenin contents) and R5 ELISA (gluten as gliadin

648

content multiplied by 2). Data are presented as mean value + standard deviation (n = 3).

649

Asterisks indicate significant differences between gluten contents determined by GP-HPLC-FLD

650

and R5 ELISA. “40 are considered to indicate identity or extensive similarity (p < 0.05) and scores 15-40 were additionally validated manually43; b accession.version number in database National Center for Biotechnology Information non-redundant (NCBInr) of the protein with the highest protein score c protein scores are derived from peptide ion scores as a non-probabilistic basis for ranking protein hits d number of hits with a sequence identity of 100 % (BLAST search within Triticeae in database UniProtKB for each peptide, numbers not adjusted for multiple occurrences within one protein) e contains two HLA-DQ2-mediated immunogenic sequences, one underlined, one in italics (entry IDs 677, 693, allergenonline.org)55,56 f contains 7 out of 9 amino acid residues of an HLA-DQ2-mediated immunogenic sequence, underlined (entry IDs 701, 706, allergenonline.org)55,57 g contains one HLA-DQ2-mediated immunogenic sequence, underlined (entry ID 138, allergenonline.org)55 Peptide

m/z (charge state) 645.83 (+2)

28 ACS Paragon Plus Environment

Page 29 of 37

Journal of Agricultural and Food Chemistry

Table 2. Gliadin content quantitated by R5 ELISA, gliadin and glutenin contents quantitated by GP-HPLC-FLD and resulting gliadin/glutenin ratios. Data are presented as mean value ± standard deviation with n = 3 for gliadin and glutenin contents, respectively. Sample

Gliadin

Gliadin

Glutenin

Gliadin/ Glutenin

R5 ELISA GP-HPLC-FLD [mg/kg] [mg/kg] [mg/kg] ratio a GfW1 4.3 ± 0.5 a 6.6 ± 1.3 a < 10.2 -b GfW2 7.4 ± 1.0 < 5.4c < 10.2 GfW3 7.5 ± 0.6 a 13.5 ± 0.5 b 29.9 ± 1.3 0.45 GfW4 6.1 ± 0.5 a 15.3 ± 0.3 b 29.6 ± 0.6 0.52 d GfW5 < 2.5 < 5.4 23.2 ± 0.5 GfW6 4.4 ± 0.4 < 5.4 58.9 ± 1.9 GfW7 7.3 ± 0.6 a 9.7 ± 1.2 a 32.6 ± 0.2 0.30 GfW8 14.9 ± 1.3 a 10.6 ± 0.4 b 31.2 ± 0.3 0.34 GfW9 7.7 ± 0.6 a 14.6 ± 0.2 b 36.7 ± 0.9 0.40 GfW10 5.2 ± 0.5 < 5.4 23.1 ± 1.2 GfW11 10.6 ± 1.1 a 5.6 ± 0.2 b 30.1 ± 1.2 0.19 GfW12 6.4 ± 0.6 a 17.7 ± 1.1 b 40.8 ± 1.0 0.43 GfW13 8.9 ± 0.9 a 17.6 ± 1.1 b 51.4 ± 1.0 0.34 GfW14 8.2 ± 0.8 a 12.5 ± 0.9 b 33.5 ± 1.9 0.37 W1 8.1 ± 0.5 a 13.3 ± 0.4 b 13.1 ± 1.9 1.02 W2 3.1 ± 0.1 < 5.4 < 10.2 W3 10.1 ± 0.3 a 12.3 ± 0.2 a 13.6 ± 0.3 0.91 W4 23.4 ± 0.8 a 68.8 ± 1.1 b 89.9 ± 1.4 0.76 W5 8.2 ± 0.5 a 14.7 ± 0.6 b 16.2 ± 1.8 0.91 W6 41.3 ± 1.1 a 51.8 ± 1.1 b 51.8 ± 4.5 1.00 W7 33.0 ± 2.0 a 30.3 ± 0.8 a 25.5 ± 1.6 1.19 W8 5951.9 ± 570.7 a 7757.3 ± 176.5 b 2614.5 ± 52.4 2.97 W9 < 2.5 < 5.4 < 10.2 W10 24.2 ± 0.8 a 10.7 ± 1.0 b 27.2 ± 1.0 0.39 W11 212.2 ± 3.0 a 139.4 ± 10.8 b 303.3 ± 3.5 0.46 W12 34.1 ± 1.2 a 20.9 ± 1.5 b 37.9 ± 1.8 0.55 W13 44.2 ± 2.2 a 68.3 ± 1.6 b 127.6 ± 2.7 0.54 W14 26.8 ± 1.6 a 56.8 ± 1.6 b 30.4 ± 3.3 1.87 W15 3511.0 ± 29.9 a 4571.7 ± 307.2 b 1971.7 ± 99.2 2.32 W16 4.6 ± 0.1 a 10.7 ± 1.5 b < 10.2 a b Limit of quantitation (LOQ) for glutenins; gliadin/glutenin ratio could not be calculated, because either the gliadin or glutenin content or both were below their respective LOQ; c LOQ for gliadins; d LOQ for gliadins (R5 ELISA); different lower case letters indicate significant differences (p < 0.05) between gliadin contents determined by R5 ELISA vs. GP-HPLC-FLD 29 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

Figure 1.

30 Environment ACS Paragon Plus

Page 30 of 37

Page 31 of 37

Journal of Agricultural and Food Chemistry

Figure 2.

31 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

Figure 3.

32 Environment ACS Paragon Plus

Page 32 of 37

Page 33 of 37

Journal of Agricultural and Food Chemistry

Figure 4.

33 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

Figure 5.

34 Environment ACS Paragon Plus

Page 34 of 37

Page 35 of 37

Journal of Agricultural and Food Chemistry

Figure 6.

35 Environment ACS Paragon Plus

Journal of Agricultural and Food Chemistry

Figure 7.

36 Environment ACS Paragon Plus

Page 36 of 37

Page 37 of 37

Journal of Agricultural and Food Chemistry

TOC Graphic

37 Environment ACS Paragon Plus