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31P NMR-based phospholipid fingerprinting of powdered infant formula Dan Zhu, Alan Hayman, Biniam Kebede, Ian Stewart, Gang Chen, and Russell D. Frew J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.9b03902 • Publication Date (Web): 19 Aug 2019 Downloaded from pubs.acs.org on August 20, 2019
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Journal of Agricultural and Food Chemistry
31P
NMR-based Phospholipid Fingerprinting of Powdered Infant Formula Dan Zhu†, Alan Hayman†, Biniam Kebede‡, Ian Stewart†, Gang Chen§, Russell Frew†*
†Department
of Chemistry, University of Otago, Dunedin, 9016, New Zealand
‡Department
of Food Science, University of Otago, Dunedin, 9016, New Zealand
§Key
Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for
Agro-Products, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
*Corresponding author E-mail address:
[email protected] (Russell Frew) Tel: +64 3 479 7913
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1
ABSTRACT
2
Infant formula (IF), regarded as the optimal substitute for human breast milk (HBM), is very
3
important for infant growth and development. Phospholipids (PLs) are ubiquitous components
4
of infant formula as they have good emulsifier properties in addition to their nutritional and
5
biological functions. In this study, the PL contents in four different commercial IF brands
6
(indicated as A, M, O and W) were characterized and quantified using optimized
7
spectroscopy.
8
phosphatidylethanolamine (PE) and sphingomyelin (SM) occurred at lower concentrations
9
(5.72 mg∙100 g-1 and 8.89 mg∙100 g-1, respectively) in IFs from brand O while phosphatidic
Nine
PLs
were
identified
and
quantified
and
31P-NMR
among
these,
10
acid (PA) was higher (2.83 mg∙100 g-1) in IFs from brand W. In summary,
31P-NMR
11
spectroscopy, combined with the multivariate data analysis, proved to be an effective analytical
12
toolbox for evaluating the PL contents in IF and the comparative differences between IF brands.
13 14
KEYWORDS: Infant formula; phospholipid; 31P nuclear magnetic resonance; multivariate data
15
analysis.
16 17 18 19 20 21 22 23 24 25 26
INTRODUCTION
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Human breast milk (HBM) is considered to be the optimal food for infants and is recommended
28
as the sole source of nutrition during the baby’s first stage (six months) of life by the World
29
Health Organization. However, in some circumstances, some infants could not be breastfed,
30
and in order to satisfy their growth requirements, commercial infant formulas (IFs) provide a
31
nutritional and safe substitute.1 Usually, IF is prepared on cow milk or soy base with added
32
vitamins, minerals and iron to resemble HBM composition and nutrient profile.2
33
The lipid fraction is a crucial part of the HMB, and it provides almost 50 % of the child’s
34
dietary calories and physiologically active molecules.3 There are several classes of lipids in
35
milk, such as the mono-, di-and triacylglycerides, free fatty acids, phospholipids (PLs),
36
glycolipid and sterols.4 Among these lipids, PLs only account for about 1 % of milk fat. PLs
37
are regarded as important suppliers of energy and long-chain polyunsaturated fatty acids (LC-
38
PUFAs) and play a key role in growth and brain development in new-born infants.5 Milk PLs
39
can be divided into two major classes called glycerophospholipids and sphingolipids according
40
to the type of alcohol backbone (glycerol or sphingosine). The main PLs contained in
41
mammalian milk and dairy products are phosphatidylcholine (PC), phosphatidylethanolamine
42
(PE), phosphatidylinositol (PI), ethanolamine plasmalogen (EPLAS), phosphatidylserine (PS),
43
phosphatidic acid (PA), and sphingomyelin (SM).5 The PL classes are defined by their different
44
polar head group as well as the various fatty acid distributions, including the length and degree
45
of saturation.6
46
Some previous studies on the identification and analysis of the PLs have reported the PLs
47
concentrations in HBM and IF.7, 8 In addition, reviews on the PLs in milk, including different
48
mammalian milk, dairy by-products or IFs, have been reported recently.5,9,10 The most
49
commonly used techniques are traditional TLC (thin layer chromatography),11 31P-NMR (31P
50
nuclear magnetic resonance),7, 12, 13 HPLC (high-pressure liquid chromatography),14-17 and MS
51
(mass spectrometry).18-20 Among these techniques, TLC is one of the earliest and has been
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employed for both the PL identification and quantification. However, TLC is not often used
53
today as it is time-consuming with complicated extraction procedures. Moreover, it is hard to
54
differentiate multiple PL classes in one run. HPLC, coupled with UV (ultraviolet) or ELSD
55
(evaporative light-scattering detector), have been used for PL separation and detection.
56
However, standards are required to identify the PL classes, and the calibration linearity only
57
worked for small concentration ranges.6 MS, coupled with HPLC, has developed into an
58
extensively used technique for PLs, including the PLs class identification and also the fatty
59
acids compositions of the PLs.19, 21 However, the ionization efficiency differs as a function of
60
the chemical structure, thus, the MS-based result may be influenced by the non-uniform
61
responses. NMR is a technique that is suitable for untargeted analysis with high specificity and
62
separation ability. In addition, NMR detection is non-destructive, which is a distinct advantage
63
for valuable samples.22
64
According to previous studies, the total quantities of PLs in bovine milk and HBM were 0.2-
65
1.0 % and 0.4-1.4 %, respectively.7, 17, 23 Compared with bovine milk, the SM and EPLAS
66
contents in HBM were much higher (29.7~35.7 and 11.4 % of total PLs) while the PE content
67
was lower (18.3 % of total PLs) .7, 17, 24 In bovine milk, the SM, EPLAS and PE contents were
68
reported as 19.9, 4.5 and 31.4 % of total PLs, respectively.7,13 In order to improve the
69
sufficiency of the nutritional PLs, it was important to improve the resemblance between IF and
70
HBM. The PL concentrations in bovine milk-based IF have been reported as follows: PE was
71
2.2-75 mg/100g, PI was 1.4-46 mg/100g, PS was 0.6-28 mg/100g, PC was 3.8-84 mg/100g,
72
and SM was 1.0-82 mg/100g.15, 18, 21 The PLs concentrations detected in these studies varied
73
widely, and it was unclear if the variation was due to the different detection techniques
74
employed, or to actual differences between the IF samples. Therefore, it is necessary to build
75
an efficient method to measure and compare the variations of the PL contents in different IFs.
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The price of IFs varies widely according to the place of origin or manufacturer. The price
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differential is a motivation for fraud and unsafe IF products that have been discovered in world
78
markets.25,
79
manufacturers but also poses health issues for the infants who may consume the adulterated
80
product. To mitigate this, it is of vital importance to have efficient tools to verify the
81
authenticity of the IF. Zhao et al. utilised 1H-NMR analysis of low-molecular-weight
82
metabolites, such as the contents of acetate, ascorbate, choline, and citrate, to differentiate
83
IFs.27 However, 31P-NMR has not been used to evaluate the PL values in IF samples and let
84
alone, to find out the PL comparative differences among IFs. In this study, a PLs
85
characterization and quantification method was developed based on the 31P-NMR technique.
86
In addition, the PLs content in commercial IFs was determined and compared to investigate
87
the compositional differences among the IFs. The purpose of this study was to investigate the
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PL contents in IFs and understand the PL differences among the IFs from different brands that
89
were relevant to health benefits, and additionally to assess the potential of utilising the
90
NMR technique for verification of the authenticity of IF.
26
Such fraudulent behaviour not only damages the reputation of the authentic
31P-
91 92
MATERIALS AND METHODS
93
Materials. The organic solvents, chloroform, methanol, acetone, trimethylamine (Et3N) and
94
N, N-Dimethylformamide (DMF) were all HPLC grade and purchased from Fisher Scientific.
95
N, N-Dimethylformamide-d7 (DMF-d7, ≥ 99.5 atom-% D), trimethyl phosphate (TMP),
96
Ethylenediaminetetraacetic acid tetrasodium salt hydrate (Na4-EDTA) and guanidinium
97
hydrochloride were purchased from Sigma-Aldrich. Milli-Q water (MQ, 18.2 MΩ cm−1 at
98
25 °C) was used for all aqueous solutions. The DMF/Et3N/GH+ solution was prepared by
99
adding 10 mL DMF, 3 mL Et3N, and 1 g GH+, respectively with 5 µL TMP, which was used
100
as an internal standard.
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Samples. Commercially available IF powder of different brands (coded A, W, O and M)
102
were collected from retailers in New Zealand. For each brand, six samples from different
103
batches were chosen and used for the NMR analysis. All the IFs were produced using New
104
Zealand raw milk base but by different manufacturers. The selected IFs were sold in different
105
countries, including New Zealand, China and the United States. In addition, IFs were designed
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for infants according to growing stages; stage I was designed for infants from 0 to 6 months,
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and the follow-on formulas (stage 2~4) were prepared for infants older than 6 months. The IF
108
samples used in this study were from different stages. The origin and stage information of the
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IF s were summarized in Table 1. Samples from brand A and M were combined and coded as
110
A&M in the following data analysis.
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Sample Preparation. The PL extraction was based on previously published methods.12, 13
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First, the milk powder (2 g) was dissolved in 40 mL acetone, and the insoluble residue was
113
collected after centrifugation (3,000 rpm for 15 min). This process was repeated once. As only
114
apolar lipids dissolve in acetone, the purpose of this procedure was to remove the
115
triacylglycerols, which account for about 98 wt % of the milk lipids. Second, the residue was
116
extracted with 30 mL chloroform/ methanol 2:1 (v/v) and in order to avoid the presence of
117
metallic divalent cations, the extract was washed with the same volume of a 0.01M Na4-EDTA-
118
0.1M NaCl solution. It is reported that the presence of these cations would alter the chemicals
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shifts of the phosphorous nucleus by interacting with anionic phosphates and forming
120
coordination complexes.12 Finally, the lower organic phase was evaporated under nitrogen after
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centrifugation and stored at -20 °C until analysis. Each sample was prepared in triplicate.
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31P-NMR
Measurements. High-resolution 31P-NMR spectra were acquired on a Varian 400
123
operating at 161.97 MHz, using an inverse probe fitted with a gradient along the Z-axis.
124
Analytical samples were placed in standard 5 mm NMR sample tubes and measured at 25 °C
125
without spinning. The 1H-decoupled, one-dimensional
31P
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following conditions: spectral width 200 ppm, delay time (D1) 7 s, pulse width of 8.0 ms (90°
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spin-flip angle), number of scans 3000, and number of data points 32 K. In order to acquire
128
31P-NMR
129
was used as an external reference (2.50 ppm), as its resonance did not interfere with PLs peaks
130
in the monophasic solvent system.
131
The
spectra, the dried sample was dissolved in 0.5 mL DMF/Et3N/GH+ solution. TMP
31P-NMR
data was processed using Vnmrj 4.2 packaged with CRAFT (complete
132
reduction to amplitude frequency table) software, which converts time-domain data into
133
frequency-amplitude data using Bayesian analysis. Compared with the peak height or peak area
134
extraction of the frequency domain data, quantitation using Bayesian time domain data
135
performs less sensitive to baseline and phase issues.28, 29 The quantification of the PLs was
136
undertaken using the following equation provided that the peaks were well defined with little
137
or no overlap observed:
138 139
Molarity (PL) =
Amplitude (PL) × Molarity (TMP) Amplitude (TMP)
Where Molarity (TMP) was 3.28 mmol∙L-1.
140
Multivariate Data Analysis. An unsupervised method, principal component analysis (PCA)
141
and a supervised method, partial least squares discriminant analysis (PLS-DA) were used to
142
build the multivariate model. The scores of variable importance in projection (VIP) were
143
calculated to measure the variable’s importance and select potential markers. Usually the rule
144
of “greater than one” was used for variable selection criteria, but the threshold of VIP really
145
depends on the data itself, such as the number of variables, the proportion of the number of
146
relevant predictors.30-32 In addition, Student’s t-test was used to test if there was a significant
147
difference in the selected variables between groups. Moreover, the fold change was also
148
calculated and combined with the VIP values from the multivariate data analysis, to help with
149
filtering the biomarkers. Statistical tests were performed using Microsoft Excel 2013®, and R
150
project (R-v3.5.3), which was an open-source freeware widely used for statistical analysis. 7 ACS Paragon Plus Environment
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RESULTS AND DISCUSSION Set-up of the
31P-NMR
Spectroscopy. The most important parameter for
31P-NMR
154
detection was to find an appropriate solvent system. There have been two main solvent systems
155
used for milk detection via
156
chloroform/methanol/water-EDTA, which was developed by Meneses and Glonek.33 The
157
second class of solvent system was a monophasic solvent mixture, which was proposed and
158
optimized by Bosco et al.34 The monophasic solvent mixture, trimethylamine/dimethyl-
159
formamide/guanidinium chloride (Et3N/DMF-GH+) was used in this study as the chemical
160
shifts were more stable and reproducible using this system. In addition, the range of
161
chemical shifts was enlarged slightly, which helped to improve the resolution. Although it was
162
reported that the estimation of the PE content might be influenced due to the different adducts
163
formed between PE and guanidinium chloride, the possible PE adducts have been ascertained,
164
and the total PE content could be calculated accurately.7, 13
31P-NMR.
The first one was the biphasic solvent system,
31P
165
T1 relaxation is the process by which the net magnetization returns to its initial maximum
166
value. In order to prove the accuracy of the result in NMR measurement, T1 values of the
167
targeted analytes were another key point for quantitative analysis. The T1 values of the principal
168
species of PLs detected in milk have been reported, and they were in the range of 0.85 ~ 1.2 s
169
in the DMF/Et3N-GH+ solvent system. The repetition time (TR, = at+D1) should ideally be as
170
long as 5T1 of the particular metabolites requires for accurate quantification.35, 36 Thus, 7s was
171
selected in the set-up 31P-NMR method, which has also been adopted in previous work.13
172
The PLs detected by 31P-NMR spectra were extracted by the CRAFT software and quantified
173
with the internal standard, TMP. The CRAFT parameters were set as follows: line broadening
174
(1/at) (Hz) 0.26, CRAFT maximum linewidth (Hz) 20, CRAFT merge peaks within +/- (Hz)
175
0.26 and segment width (Hz) 3. In total, 13 ROIs (regions of interest) were selected in this
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study and the residual spectrum, the reconstructed spectrum and the extracted CRAFT models
177
were demonstrated in Figure 1a. The efficiency of the CRAFT model was validated visually
178
from the residual spectrum. The chemical shifts of PLs detected by 31P-NMR were identified
179
according to the previous study.7, 12, 13 The
180
formula samples iss presented in Figure 1 b.
31P-NMR
spectra acquired from different infant
181
The concentration of the PLs was calculated based on the internal standard, TMP and the
182
ratios of the moles (mol %) for each PL class were listed in Table 2. In addition, the main
183
classes of PLs detected previously in bovine milk and HBM were also summarized in Table 2.
184
All the data shown in Table 2 were the averages or the ranges of the values. The RSD (relative
185
standard derivation) of all the detected PLs was within 10 % for each sample and within 20 %
186
for each group, representing good repeatability of the method. For all the IFs, PC content was
187
the highest with a ratio of 46.90 ~ 52.13 %, and the content of SM was second highest with a
188
ratio of 14.69~19.90 % in comparison to the bovine milk and HBM samples. It was reported
189
that the PC content of PLs in bovine milk was usually the highest (24.0 ~ 28.7 %), followed by
190
the PE (23.5 ~ 31.8 %) and SM contents (19.9 ~ 26.8).6, 7 Apparently, there was much more
191
PC detected in infant formulas, and this was possibly from the soy lecithin, which was
192
commonly used as the emulsifier. PC contained more saturated fatty acids compared with the
193
other PLs with choline as a head group, and it was found to be an important component of the
194
membrane.10 The ratio of SM was much higher than PC in HBM compared with that in bovine
195
milk, as shown in Table 2.7 Consequently, the requirements of increased SM should be covered
196
by the infant formulas as SM was proved to have lots of benefits for human health, such as
197
reducing the cholesterol absorption.23
198
Compositional Differences among Infant Formulas. All the PLs detected were quantified
199
and compared among the different IF brands. Unsupervised PCA was used to explore the data
200
and investigate potential outliers and trends. As can be seen, the first principal component (PC1)
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adequately described the majority of the variation (72.8 %) with PC2 and PC3 describing less
202
at 13.5 % and 4.9 %, respectively (Figure 2a). Hence, three PCs were selected for the PCA
203
model, explaining a total of 91.2 % of the variation within the data. As illustrated in the PCA-
204
3D scores plots (Figure 2b), the IFs could be separated partially by the first three PCs, which
205
indicated the PLs compositional difference among the detected samples. However, it was
206
clearly shown in Figure 2b that brand A and M were positioned close to each other, and away
207
from brand O and W. Although brand M and A were sold in the market under different
208
packages and brands, they were produced in the same factory with similar raw milk sourced
209
from the same region in New Zealand (Table 1). Since these two IFs seemed to have a
210
comparable PL profile, they were grouped together and labelled as A&M in the next stages of
211
the multivariate data analysis (Figure 2c). PCA modelling was also used to investigate the
212
effect of stages (Figure 2d). However, the samples could not be clearly separated according to
213
their labelled stages. This result indicated that the formula of PLs in the infant milk might stay
214
the same among the samples designed for different stages from the same producer.
215
In order to identify metabolites that discriminate the three clearly separated classes (A&M,
216
O and W), a PLS-DA model was performed. For the PLS-DA model, the metabolites were used
217
as X-variables, and the IF samples were used as a categorical Y-variables. The validated model
218
had three components, with R2X = 0.895, R2Y = 0.818 and Q2Y = 0.718 (Figure 3a). In line
219
with the observation from the PCA modelling, the samples were separated into three clear
220
groups (A&M, O and W). To identify discriminant markers driving this separation, the VIP
221
plot of the variables from the PLS-DA model was used (Figure 3b). A cutoff point of 0.9 was
222
chosen in this PLS-DA model considering the significant difference of Student’s t-test and
223
calculated fold change. The contents of these three selected phospholipids were calculated
224
according to the internal standard (TMP) and summarized in Table 3. The formula weights of
225
PA, SM and PE were calculated as 727, 729 and 744 g mol-1 according to a previous report.13
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In addition, the p values and fold changes of the selected PLs between groups were also shown
227
in Table 3.
228
In order to have an overview of the variable difference among groups, box plots of the
229
selected discriminant PLs were illustrated in Figure 4. As illustrated in Figure 4 and Table 3,
230
three PLs were selected as biomarkers to distinguish samples from different brands, PA, SM
231
and PE. In general, all these three selected PLs showed an obvious variation between the IFs
232
from brand O and W. The main differences between the IFs from brand A&M and O were the
233
levels of SM and PE. In addition, IFs from brand A&M and W showed different PA contents.
234
PA had the highest VIP score and was detected at the amount of over two times higher in
235
brand W than that in the other two brands. This makes sense as the concentration of PA in
236
brand W was at the highest level (2.83 mg∙100 g-1) while the contents in the other samples were
237
not significantly different based p< 0.05 (1.07~1.14 mg∙100 g-1). The ratio of PA detected in
238
infant formula in our study was 1.22~3.02 mol%, which was in accordance with previous
239
reports.37 PA was the simplest phospholipid with an active H as the head group and was
240
enriched in eukaryotic cell membranes.9 PA had an important role in glycerolipid metabolism
241
and membrane biogenesis with its anionic head group. Furthermore, PA could also act as a
242
signalling lipid.38 PA in raw bovine milk was detected in Gallier et al.’s study,11 however, the
243
PA detected was regarded to be caused by the hydrolysis of the neutral and polar lipids of the
244
membrane during a few hours of cold storage. In addition to this, PA was not found in bovine
245
milk or HBM according to other reports.7, 39 However, PA was detected in the soy lecithin,
246
which was used as an emulsifier in IFs as labelled, at about 2 wt%.40, 41 Therefore, the difference
247
of the PA content observed in IFs was most likely from the added ingredients.
248
SM had the second-highest VIP score and compared with PA, and SM showed a different
249
trend of variation among the IFs from different brands. Significant variation of the SM content
250
was observed in IFs from brand O, which was nearly one time lower than that in the other two
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groups. Specifically, the average contents of SM were 17.49 mg/100 g, 8.89 mg/100 g and
252
13.76 mg/100 g in brand A&M, O and W, respectively (Table 3). SM was a type of
253
sphingolipids with phosphorylcholine as the polar head group. Thus, SM, together with PC,
254
were the main source of choline, which was crucial for the rapid growth of the brain and other
255
organs.42 In addition, SM, as reported, was the most saturated phospholipid with about 73 %
256
saturated fatty acids content and the SM contained in HBM was mainly composed of the C16:0
257
(palmitic acid), C18:0 (stearic acid), C22:0 (docosanoic acid) and C24:1 (tetracosanoic acid)
258
fatty acids.5, 6, 11 It found that the predominant sphingoid base in breast milk was sphingosine
259
(d18:1), which accounted for 83.6%.19 Therefore, the formula weight of the SM used as a
260
conversion factor was 729, SM (d18:1/18:1). The SM contents and the compositions of SM
261
were reported to be related to hydrolytic activity and the gut microbiota establishment, which
262
were of vital importance for the infant’s growth.43 In bovine milk, SM was found to be altered
263
by breeds, seasons and the lactation stages of the cow.44 Specifically, SM in milk fat from
264
Holstein cow was at a higher concentration than that from Jersey cows due to the different fat
265
globule sizes in milk between the breeds. In addition, the SM was observed more concentrated
266
in bovine whole-milk collected in summer or from cows at their late lactation stage as a result
267
of the increased milk fat content.44 The SM content in HBM during the lactation period was
268
also studied; however, there were different results about the SM content varieties. It was
269
reported that the percentage of SM remained constant during the different lactation periods,
270
while Shoji (2006) found that the SM percentage in mature milk was significantly higher.19, 45,
271
46
272
consumption by breastfed infants should be from 50~150 mg/day based on animal
273
experiments.47 IFs used in the study were all based on bovine milk and as reported, the relative
274
proportion of SM in bovine milk was lower than that in HMB (Table 2). However, the SM
275
concentration detected in IFs was within the HBM range, in which the SM level was reported
Considering the importance of the SM to the infant’s health, it was suggested that the SM
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to be about 5.0 ~ 13.3 mg∙100 g-1.7 Thus, additional SM was added as an ingredient of IFs to
277
resemble the SM content of HBM. The variations observed in the IFs from different brands
278
were possibly caused by both the raw milk and added formula.
279
In addition, PE was selected as another marker to distinguish IF samples from different
280
retailers with a VIP score greater than 0.9. Similarly with the SM content in the IFs, PE content
281
in the IFs from brand O was also at the lowest level (5.72 mg∙100 g-1 ) while IFs from the other
282
two groups were at the similar higher level (12.26~14.41 mg∙100 g-1). PE was highly
283
unsaturated with the ethanolamine as a head group and was found in all eukaryotic cells, which
284
accounted for about 25 % in cells and 45 % in the brain of the total phospholipids.46 It was
285
reported that the PE species found in milk were composed by the fatty acids with C16:0/C18:2,
286
C16:0/C18:1 and C18:0/C18:2.6, 49 According to previous research, the PE content increased
287
significantly both from colostrum to transitional milk and transitional milk to mature milk.49,
288
50
289
during their first growth stage. Moreover, PE was not only proven to be crucial for the
290
development of the membrane and brain but also found to play an important role in heart
291
health.48 Like SM, the PE in bovine milk was also found to have the highest level at the late
292
lactation stage of the cow.51 However, this difference was within 1.65 times (0.23 ~ 0.38),
293
which was not adequately accounted for the difference observed between the IFs from different
294
brands (Table 3). As PE was also detected in the soy lecithin at an amount of about 13.8 wt%,40
295
PE difference between groups might be contributed by both the raw milk and added ingredients.
296
As the best substitute for HBM, IF was required to be safe and satisfy the infant’s nutritional
297
requirements. In addition, the composition of IF was strictly regulated with established
298
guidelines that the retailer should follow.52 Though there were different results on the PLs
299
changes during the lactation period in HBM,45, 49 the PL amounts, including the PE and SM
300
contents, were found to have increased significantly in the brains of the newborns in their first
The increasing amount of PE indicated the high requirement of PE for infants’ development
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year of life.53 Thus, it was important to understand the different contents of the PLs in various
302
IFs and then chose the optimal feeding amount according to the guidelines for the infants at
303
different growing stages.
304
In summary, a
31P-NMR
method was set up in this study based on the DMF/Et3N/GH+
305
monophasic system with stable chemical shifts and good separation of the PL classes. Nine
306
phospholipid species were detected in the IFs, and moreover, PL contents detected in different
307
IF brands were quantified and compared. The results demonstrated that the PLs variances
308
existed among different IFs according to their various formulations used in the processing, such
309
as the contents of SM, PA and PE. Therefore, the
310
multivariate data analysis, were shown to be an effective tool for better understanding the PL
311
contents and differences among the IFs. This result could not only help with the feeding
312
guidelines but also help to verify the authenticity of the IFs from different brands. However,
313
the fatty acid compositions of the selected PLs were not measured in this study. Therefore, the
314
differences of the fatty acid distributions in relation to PLs among different IF brands needed
315
to be further studied in the future with the aid of other techniques.
31P-NMR
spectra, combined with the
316 317
ABBREVIATIONS
318
IF, infant formula; PL, phospholipids; TMP, trimethylphosphate; PC, phosphatidylcholine; PE,
319
phosphatidylethanolamine;
320
lysophosphatidylcholine; PS, phosphatidylserine; PE, phosphatidylethanolamine; EPLAS,
321
phosphatidylethanolamine plasmalogens; SM, sphingomyelin; PI, phosphatidylinositol; PG,
322
phosphatidylglycerol; PA, phosphatidic acid.
MMPE,
Monomethylphosphatidylethanolamine;
323 324
Funding
325
This work was supported by University of Otago PhD Scholarship to Dan Zhu.
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LPC,
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326 327
Notes
328
The authors declare no competing financial interest.
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Figure captions
505 506
Figure 1. (a) The residual, reconstructed and experimental spectrum acquired from CRAFT and the
507
extracted CRAFT models of the 31P-NMR spectrum. (b) 31P-NMR spectra of the PL extracts from IFs.
508
The signals were assigned as follows: TMP, 2.50 ppm, used as an internal reference; PC, 0.00 ppm; PE
509
adduct, 0.19 ppm; MMPE, 0.40 ppm; LPC, 0.45 ppm; PS, 0.54 ppm; PE, 0.56 ppm; EPLAS, 0.58 ppm;
510
SM, 0.83 ppm; PI, 1.02 ppm; PG, 1.25 ppm and PA, 5.40 ppm.
511 512
Figure 2. (a) Variance principal components scree plot; Three-dimensional PCA scores plot based on
513
the 31P-NMR data: (b) PCA-3D plot of four types of IF samples coded A, M, O and W. (c) PCA-3D
514
plot of three types of IF samples, coded A&M, O and W. (d) PCA-3D plot of two stages of IF samples,
515
stage 1 and stage 2&3.
516 517
Figure 3. (a) PLS-DA biplot based on the
518
variables with a VIP value over 0.9 were shown in bold). (b) Bar plot of the VIP scores from the PLS-
519
DA model. Blue line- VIP score was 1.0; the red line- VIP score was 0.90.
31P-NMR
data (the open circles were variables and the
520 521
Figure 4. Boxplots and the structure of the selected PLs to distinguish IFs (a) PA; (b) SM and (c) PE
522
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Tables Table 1 Information on the collected infant formula samples Group A&M
New Zealand USA
Stage 1 2 2
O
China
3
3
0
W
New Zealand
NL*
NL
NL
O W *NL:
Formulation Stage Stage 2 Stage 3 2 2 3 1
Manufacturer Code A M
Origin
Not labelled.
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Table 2 Relative proportion of PL classes in different infant formulas PL classes PC MMPE LPC PS SM PI PG PA PE a Results
Relative proportion (mol% of total PLs)a A&M O W 47.77 ± 6.24 52.13 ± 7.58 46.90 ± 7.23 2.57 ± 0.37 2.80 ± 0.33 3.77 ± 0.55 2.57 ± 0.41 2.56 ± 0.37 2.43 ± 0.36 5.79 ± 0.27 4.66 ± 0.28 6.60 ± 1.45 19.90 ± 3.44 17.93 ± 3.88 14.69 ± 2.87 5.74 ± 0.98 5.78 ± 1.06 6.32 ± 0.91 0.77 ± 0.15 0.53 ± 0.11 1.19 ± 0.22 1.22 ± 0.22 2.30 ± 0.23 3.02 ± 0.39 13.66 ± 2.97 11.31 ± 2.26 15.08 ± 1.27
Bovine milkb 24.0-28.7 0 1.5-11.7 19.9-26.8 3.6-14.0 4.6 1.8 23.5-31.8
presented as mean ± SD
b
Data references 7, 11, 16, 37
c
Data references 7, 43
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Human milkc 18.7-24.5 0 8.1-15.3 29.7-39.6 3.8-14.1 0 8.7-18.3
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Table 3 Contents of PA, SM and PE in different IF samples PLs
Concentration (mg∙100g-1)a
FC b
A&M
O
W
A&M/O
A&M/W
O/W
PA
1.07 ± 0.19
1.14 ± 0.11
2.83 ± 0.36
0.94
0.38***
0.40***
SM
17.49 ± 3.02
8.89 ± 1.92
13.76 ± 2.64
1.97***
1.27*
0.65***
PE
12.26 ± 2.66
5.72 ± 1.14
14.41 ± 1.21
2.14***
0.85**
0.40***
a Results bAsterisk
presented as mean ± SD rating system was used for quoting the P value: P < 0.05 *, P < 0.01, ** P < 0.001***
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Figure 1.
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Figure 2.
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Figure 3.
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Figure 4.
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