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labelling limit, and one in 161 being greater than four

times that level.

Across the 965 servings, the overall average gluten is cal-

culated to be 1.18 ppm per serving (i.e. 1.18 mg kg

1

per

serving). This is assuming 0 mg kg

1

for BLQs and

80 mg kg

1

for ALQs. However, only forty-eight of the

965 servings contain any measurable gluten. Of those, if

one conservatively assumes an AQL reading as 80 ppm,

seventeen contain about 71% of total gluten observed,

averaging about 48 ppm (so, about one in fifty-seven serv-

ings at this level).

It is important to note that the above referenced results

were all single test outcomes per serving. Our recent

research has shown that when a gluten-containing kernel

exists in a serving of oatmeal, a single test result can

underestimate overall serving gluten content (Fritz

et al.

,

2017). This is because gluten from the contaminate kernel

tends to end up lognormally distributed in the ground

sample (even with grinding performed under current best

grinding practices). In other words, much of the gluten

from the contaminant kernel remains concentrated in a

few pockets within the serving after grinding, not being

well dispersed. So consequently, a small test amount,

randomly selected from the serving, is more likely than

not to undercount overall gluten. With this insight, it was

found that for samples initially testing ‘gluten positive

yet compliant’ (i.e. 5 to

<

20 ppm), when ten additional

tests per sample were conducted, about half ended up

averaging noncompliant, that is

20 ppm (Fritz

et al.

,

2017). It is fair to assume that additional tests (beyond

ten per serving for this ‘positive yet compliant’ group)

could provide higher proportions of samples averaging

>

20 ppm, due to the lognormal distribution of gluten in

these already deemed ‘gluten-positive’ ground samples.

Figure 1 provides a graphical depiction of the gluten

distribution observed in the survey. It shows both the

single test per serving outcomes and the assumed more

accurate distribution if initially found ‘positive yet

compliant outcomes’ were subjected to multiple tests

per serving (using 50% of 5 to

<

20 ppm servings end-

ing up in the 20

80 ppm category due to this).

The overall gluten per serving circumstance uncov-

ered, that is where most servings measure BLQ and

then are interspersed with occasional noncompliant

servings, holds at the ‘date code’ level as well. Of the

thirteen of twenty-one date codes possessing noncom-

pliant servings, the maximum noncompliant serving

rate was also 5% (like the overall data set). This maxi-

mum rate was not found statistically different from

any other date code outcomes.

So it appears a bimodal-like noncompliance pattern

(in terms of ppm) has been revealed in the GF oatmeal

marketplace in terms of gluten per serving, where

numerous BLQ servings are ‘interrupted’ by occasional

noncompliant ones, some being several times the regu-

latory limit. These results indicate the GF oatmeal

production processes of these two producers do not

have sufficient capability to effectively mitigate gluten

contamination to BLQ at the serving size level. The

pattern of defects supports the premise that kernel-

based gluten contamination is the cause, which pro-

duces high levels of gluten in oatmeal servings made

from otherwise GF, pure oats. The outcomes encoun-

tered also suggest the inspection regimens used to

assess overall process capability and lot acceptance are

incapable of detecting the level of noncompliance

observed.

This binary-like noncompliance pattern sheds light

on interpretation of what some might view errantly as

an attractive 1.18 ppm gluten average/serving found

across these 965 servings. But despite a low ppm aver-

age per serving, the gluten is obviously not well dis-

persed across them (as an average errantly implies),

but rather resides concentrated in a handful of

servings, many being noncompliant in regard to GF

labelling requirements.

The above survey insight has served as the genesis

for this work, guiding the balance of the investigation.

0

200

400

600

800

1,000

BLQ (0-5 ppm)

5-20 ppm

20-80 ppm

> 80 ppm

917

31

11

6

917

15

27

6

With a single test/serving:

100% of measurable gluten resides in ~ 5% of servings

~ 75% of measurable gluten resides in ~ 1.8% of servings

~ 50% of measurable gluten resides in ~ 0.6% of servings

Count of servings

Considered

zero gluten

Gluten containing

Distribution of Gluten in 965 U.S. Oatmeal Servings

(from two large U.S. Producers, spanning twenty-one date codes from 2014)

Figure 1

Distribution of gluten found in US

‘in-market’ survey of gluten-free oatmeal

servings. (Both as observed with single

results/serving and estimated given retests of

‘5 to

<

20 ppm’ initial outcomes). [Colour fig-

ure can be viewed at

wileyonlinelibrary.com]

©

2016 PepsiCo, Inc. International Journal of Food Science & Technology published

by John Wiley & Sons, Ltd. on behalf of Institute of Food Science and Technology

International Journal of Food Science and Technology 2016

Kernel-based gluten binary-like outcomes

R. D. Fritz and Y. Chen

4