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Influence of Dairy Emulsifier Type and Lipid Droplet Size on Gastrointestinal Fate of Model Emulsions: In vitro Digestion Study Li Liang, Xiaoyun Zhang, Xing-Guo Wang, Qingzhe Jin, and David Julian McClements J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.8b02959 • Publication Date (Web): 02 Sep 2018 Downloaded from http://pubs.acs.org on September 4, 2018
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Journal of Agricultural and Food Chemistry
Influence of Dairy Emulsifier Type and Lipid Droplet Size on Gastrointestinal Fate of Model Emulsions: In vitro Digestion Study
Li Liang a, b, Xiaoyun Zhang, b Xingguo Wang a, Qingzhe Jin a, *, David Julian McClements b,
*
a
School of Food Science and Technology, Collaborative Innovation Center of Food Safety
and Quality Control in Jiangsu Province, National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, Jiangsu 214122, China b
Department of Food Science, University of Massachusetts Amherst, Amherst, MA 01003,
USA
* Corresponding authors E-mail addresses:
[email protected] (Q. Jin),
[email protected] (D.J. McClements). 1
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ABSTRACT
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Human breast milk is a natural emulsion containing relatively large triacylglycerol
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droplets coated by a distinct interfacial layer, known as the milk fat globule membrane
5
(MFGM).
6
milk in an infant’s gastrointestinal tract (GIT), but the membrane architecture is susceptible
7
to disruption by industrial processes. To formulate infant formula that simulates the
8
gastrointestinal behavior of breast milk, food manufacturers require knowledge of the impact
9
of the interfacial properties on the gastrointestinal fate of fat globules.
The unique properties of the MFGM impacts the release of nutrients from breast
In this study, a
10
simulated GIT was utilized to monitor the gastrointestinal fate of emulsified corn oil with
11
different dairy emulsifiers, including sodium caseinate, lactoferrin (LF), whey protein isolate
12
(WPI), and milk phospholipids (MPL) isolated from MFGM. The influence of droplet size
13
on the gastrointestinal fate of the MPL-stabilized emulsions was also examined. Our findings
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provide valuable information for the optimization of infant formula and dairy-based
15
nutritional beverages.
16 17
Keywords: emulsifier type; droplet size; gastrointestinal fate; physicochemical properties; lipid digestion
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INTRODUCTION
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Infant formula is designed to provide the full complement of macronutrients and
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micronutrients to infants who do not have access to breast milk. Ideally, infant formula
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should be created with a composition, structure, and digestibility as similar to human breast
22
milk as possible. Commercial infant formula is one of the earliest functional foods
23
developed by the food industry.
24
macronutrients (such as carbohydrates, proteins, and lipids), micronutrients (such as
25
vitamins and minerals), and other components (such as probiotics and prebiotics) similar
26
to those found in breast milk. 1, 2 In terms of milk fat, which typically provides around 40
27
to 50% of the calories to the infant, infant formula manufacturers aim to match the total fat
28
content and fatty acid profile of breast milk.
29
design the lipid droplets in infant formula so that they mimic the unique composition and
30
architecture of milk fat globules (MFGs) in breast milk and therefore behave in a similar
31
fashion in the infant digestive tract. 5
Manufacturers design these products to contain
3, 4
Moreover, manufacturers would like to
32
Developments in lipidomic analysis and spectroscopic imaging have led to rapid advances
33
in our understanding of the secretion, structure, and composition of MFGs and their
34
membranes (MFGM) over the past decade.
35
triglyceride cores coated by MFGM. The MFGM has a tri-layer structure that consists mainly
36
of phospholipids. Specifically, phospholipids are organized as a monolayer in contact with
6, 7
Structurally, native MFGs are composed of
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the triglyceride core and a bilayer isolating it from the aqueous environment, with a number
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of proteins embedded inside it. The diameter of native MFGs ranges from around 0.1 to 15
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µm with an average around 4 µm. At present, most commercial infant formula products
40
contain lipid droplets that have different interfacial compositions and dimensions than those
41
in MFGs.
42
smaller with a mean particle diameter around 0.5 µm (range 0.1 to 1 µm) and an interfacial
43
layer comprised mainly of dairy proteins or surfactants (such as citrate glycerides,
44
monoglycerides, or diglycerides). 9
8
In particular, the lipid droplets in commercial products are typically much
45
Formula feeding could increase the incidence of obesity and metabolic syndrome in adult
46
life compared to breast feeding. 10, 11 Considering that the lipolysis rate of milk fat is likely
47
to impact its absorption and metabolism, 12, 13 the long-term health benefits of breastfeeding
48
may at least be partly related to the complex architecture of the MFGM. 14
49
therefore attempting to create lipid droplets in infant formula products that more closely
50
simulate the digestion and absorption of MFGs in the gastrointestinal tract.
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Gallier et al. fabricated biomimetic fat globules by adsorption of bovine MFGM material to
52
the surfaces of relatively large lipid droplets (around 4 µm) in oil-in-water (O/W) emulsions.
53
15
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accumulation in adult mice. 16-18
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Researchers are
For instance,
The same group then showed that their biomimetic infant formula reduced excess body fat
In general, the rate and final extent of lipid digestion depends on the physicochemical 4
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characteristics of the interfacial layer, such as surface area, charge, and composition, and
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therefore controlling these properties may lead to the design of more effective MFG-
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analogs. 19-22
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bovine milk due to industrial processing, such as homogenization and heat treatment, also
60
modified the kinetics of lipid digestion.
61
considered when developing biomimetic infant formula products.
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applications in nutritional and pharmaceutical products,
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commercially available in sufficient quantities and quality for use in infant formula and
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other dairy-based beverage products. 25
Our previous study showed that changes in the interfacial properties of raw
23
Consequently, these factors should also be
24
Due to its potential
MFGM has recently become
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In previous studies, researchers have shown that industrial processing of raw bovine
66
MFGs promoted disruption of the native interfacial membrane and adsorption of soluble
67
proteins, such as caseins and whey proteins, from the surrounding aqueous phase. 23, 26 In
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this study, we investigated the influence of dairy emulsifier type and droplet size on the
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gastrointestinal fate of model infant formula.
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different dairy emulsifiers were prepared and characterized, including lactoferrin (LF),
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sodium caseinate, whey protein isolate (WPI), and milk phospholipids (MPL) obtained
72
from MFGM. These emulsions then underwent a simulated gastrointestinal tract (GIT) and
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the rate and final extent of lipid digestion was monitored.
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influence of droplet size on the gastrointestinal fate of the MPL-stabilized emulsions to
Corn O/W emulsions surrounded by
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In addition, we examined the
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determine if their digestibility could be modulated using this approach. To the authors
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knowledge, there have been no previous studies comparing the digestion of lipid droplets
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coated with MPL and various other dairy proteins.
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MATERIALS AND METHODS
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Materials
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The information about the powdered dairy proteins used in this study is listed in Table
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1. MFGM phospholipid (MPL) was provided by Fonterra Co-operative Group Limited
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(Rosemont, IL). The phospholipid concentrate (PC 700) was obtained from bovine milk
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and its composition is shown in Table 2. MPL contained about 16.5% sphingomyelin,
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which is not typically present in plant phospholipids. The unique composition of MPL
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makes it possible to be applied in dairy and other functional food industry. All the
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emulsifiers were used without further purification. All concentrations and composition data
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cited were obtained from the manufacturers.
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The fluorescent dye, including fluorescein isothiocyanate (FITC) and Nile red, and the
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enzymes and extracts from digestive juices including mucin and pepsin from porcine stomach,
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porcine bile extract, and porcine lipase (type II), were obtained from Sigma-Aldrich (Sigma
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Chemical Co., St. Louis, MO). All other chemicals and reagents were analytical grade and
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purchased from Fisher Scientific (Pittsburgh, PA). Corn oil was purchased from a local 6
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grocery store. All aqueous solutions were prepared with high purity water (Nanopure Infinity,
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Barnstaeas International, Dubuque, IA).
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Emulsion Preparation
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Emulsions (O/W) in this study consisted of 10% corn oil and 90% aqueous solution. 27
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The aqueous solution contained 1% emulsifier dissolved in buffer solution (5 mM
98
phosphate, pH 7.0). First, a coarse emulsion was produced by blending the lipid and
99
aqueous phases together with a high-speed pre-mix device for 2 min (M133/1281-0,
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Biospec Products, Inc., ESGC, Switzerland), and then a coarse emulsion was prepared
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using a high-pressure microfluidizer (M110Y, Microfluidics, Newton, MA) at a pressure of
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83 MPa (three passes). Unless otherwise specified, emulsions were prepared under this
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condition, and the concentration in this study was percentage of mass unless otherwise
104
specified.
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Emulsifier types. Aqueous phases with different emulsifiers were prepared (LF,
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caseinate, WPI, MPL), and the total emulsifier concentration was 1%. As MPL was
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difficult to uniformly disperse in the aqueous phase, sonication was used to prepare the
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aqueous phase with this emulsifier before preparing the emulsions. As described previously,
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the following sonication procedure was used: 70% amplitude with pulse length of 5 s on
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and 3 s off for 20 cycles. 27
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Droplet size. The minimum mean particle diameter (d3,2) that could be achieved with 1% 7
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MPL under standardized homogenization conditions was greater than 2 µm, which was
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considerably bigger than the droplets obtained using the other emulsifiers.
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reason, a higher level of MPL (2%) was utilized in this part of the study to obtain smaller
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droplets. MPL stabilized emulsions with different mean particle diameters were fabricated
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using different homogenization conditions: (i) only the high-speed pre-mix device was
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used for 2 min (large droplet size); (ii) a high-speed pre-mix device and a microfluidizer at
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69 MPa for three passes were used (medium droplet size); (iii) a high-speed pre-mix device
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and a microfluidizer at 138 MPa for three passes were used (small droplet size).
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In vitro Digestion Model
For this
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All the samples were subjected to a simulation of human gastrointestinal conditions,
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including the mouth, stomach, and small intestine. In the current study, we utilized a static
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GIT model with intestinal fluid compositions based on the values established in our
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previous studies
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model proposed by Minekus and co-workers 29. Control emulsions were prepared using a
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non-digestible oil (hexadecane) as the hydrophobic core rather than corn oil.
28
.
This model is fairly similar to the standardized in vitro digestion
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Before conducting the in vitro digestion experiments, several simulated digestive fluids
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were prepared. Artificial simulated saliva stock solution (sodium chloride 27.28 mM,
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ammonium nitrate 4.10 mM, monopotassium phosphate 4.67 mM, potassium chloride 2.71
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mM, potassium citrate 0.95 mM, uric acid sodium salt 0.11 mM, urea 3.30 mM, lactic acid 8
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sodium salt 1.30 mM), simulated gastric fluid (SGF) (sodium chloride 34.22 mM,
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hydrochloric acid 226.11 mM) and simulated intestinal fluid (SIF) (sodium chloride 3.75
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M and calcium chloride dihydrate 249.49 mM) were prepared. Simulated saliva fluid (SSF)
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was prepared by dissolving 0.6 g porcine gastric mucin (type II) into 20 g of saliva stock
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solution, and the fluid should be stirred overnight at 4 °C to make sure mucin dissolved
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fully. Bile salts dissolved in buffer solution (pH 7.0, 53.57 g/L) was prepared 24h before
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the small intestinal conditions, since the bile salts was hard to dissolve fully. All the
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simulated digestion fluids should be preheated to 37 °C before each digestion phase. 30
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Initial Phase: First, all the samples were diluted to obtain 2% lipid content, which was
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the suitable concentration for the following digestion procedure as validated in our
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previous study. 31 Then, 20 g of the sample was preheated to 37 °C in an incubator shaker
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(Model 4080, New Brunswick Scientific, NJ).
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Mouth Phase: First, 20 g of the emulsion was mixed 20 g of SSF. Second, the mixture was
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kept in a water bath at 37 °C, and pH was adjusted to 6.8. Third, the mixture was swirled at
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100 rpm for 2 min to mimic the mouth condition.
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Stomach Phase: First, 0.064 g of pepsin was dissolved in 20 g of SGF to get the gastric
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working solution, and the solution was preheated to 37 °C. Second, 20 g of the bolus sample
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taken from mouth phase was added to the preheated gastric working solution. Third, the pH
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of the mixture was adjusted to 2.5 and swirled at 37 °C for 2 h with the agitation speed of 9
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100 rpm. Lipase was not contained in this phase, because reliable sources of gastric lipase is
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hard to obtain now. 32
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Small Intestine Phase: First, 30 g of the chyme sample obtained from last stage was kept
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at 37 °C water bath and then adjusted to pH 7.000. Second, 1.5 mL of SIF and 3.5 mL of bile
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salt solution was added into the chyme sample with continuous stirring. Third, the pH of the
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mixture was adjusted to 7.000 again, followed by 2.5 mL of porcine pancreatic lipase (24
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mg/mL) with continuous stirring. During the 2h digestion period, a pH-stat automatic
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titration unit (Metrohm USA Inc., Riverview, FL) was utilized to record the volume of NaOH
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solution (0.15 M) consumed which would neutralize the released free fatty acids (FFA) from
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oil phase at 37 °C.
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The following equation was utilized to calculate the percentage of FFA released in small intestine phase:
162 163
FFA% =
VNaOH × mNaOH × Mlipid × 100 Wlipid × 2
164 165
Where, VNaOH is the volume of NaOH consumed (mL), mNaOH is the molarity of the NaOH
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solution (0.15 M), Mlipid is the average molecular weight of the corn oil (824 g/mol), and
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Wlipid is the mass of the oil in the small intestine phase (0.15g). 33
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Determination of Particle Size, Charge and Microstructure 10
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The particle size distribution (PSD) and mean particle diameter of samples was
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measured by a static light scattering instrument (Mastersizer 2000, Malvern Instruments,
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Westborough, MA). Prior to the measurements, samples were diluted in appropriate
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aqueous solutions to avoid multiple scattering effects and stirred at speed of 1200 rpm to
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ensure system homogeneity. Specifically, pH 2.5-adjusted distilled water was used to dilute
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samples from stomach. While phosphate buffer with pH 7.0 was used to dilute samples
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from other digestion stages. The refractive indices were 1.330 and 1.470 for phosphate
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buffer solution and corn oil, respectively. The particle size was reported as the surface-
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weight mean diameters (d32), which were calculated from the full particle size distribution.
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34
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The ζ-potential of these samples was tested using a particle electrophoresis device based
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on dynamic light scattering (Nano-ZS, Malvern Instruments, Westborough, MA). The buffer
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solutions used to dilute samples from different digestion stages and refractive indices in this
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part were the same as in particle size measurements.
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The microstructures of the samples from different GIT stages were visualized by a laser
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scanning confocal microscope (Nikon D-Eclipse C1 80i, Nikon, Melville, NY).
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objective lens (60×, oil immersion) and eyepiece (10×) were selected to acquire the
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magnified microstructure images. Prior to analysis, the protein and lipid phases were stained
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by FITC (10 mg/mL dimethyl sulfoxide) and Nile red (1 mg/mL ethanol), respectively. The 11
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excitation and emission spectrum were 488 nm and 515 nm for FITC, while they were 543
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nm and 605 nm for Nile red. All micrographs were taken and exported by NIS-Elements
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analysis software (Nikon, Melville, NY).
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Statistical Analysis
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In this study, emulsions were prepared freshly in triplicate, and measurements were
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conducted twice per sample. The means and standard deviations were calculated from these
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results. The statistical significance was analyzed by a one-way ANOVA and tested by post-
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hoc Duncan multiple range test (p < 0.05) (SPSS 19.0, IBM Corporation, Armonk, NY).
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RESULTS AND DISCUSSION
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Influence of Emulsifier Type and Droplet Size on Gastrointestinal Fate.
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The impact of emulsifier type and droplet size on the gastrointestinal fate of the model
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infant formula were examined using a simulated GIT model. The mean droplet diameter,
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PSD, ζ-potential and microstructure of the emulsions was conducted after each GIT phase.
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Initial Phase
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Particle Stability: Initially, the emulsion coated by 1% MPL contained significantly larger
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lipid droplets (d32 = 2.48 µm) compared with those coated by the three dairy proteins. The
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emulsions stabilized by lactoferrin contained somewhat larger droplets (d32 = 0.29 µm) than 12
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those containing either sodium caseinate or WPI (d32 = 0.15 µm) (Figure 1a). The proteins
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therefore seem to be more effective at promoting droplet disruption and inhibiting droplet
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coalescence during homogenization than the phospholipids. The larger droplets in the LF-
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stabilized emulsions may be because it has an appreciably higher molecular weight than the
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other two dairy proteins and so required a higher amount to saturate the droplet surfaces. 35
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Moreover, some droplet flocculation may have occurred in this emulsion because the initial
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pH was close to the isoelectric point of lactoferrin (pI ~ 8) and because absorption of anionic
212
phosphate ions (PO4-) from the buffer solution onto the cationic oil droplet surfaces may have
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caused some charge neutralization. 36
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An attempt was made to produce MPL-stabilized emulsions containing smaller droplets
215
so as to facilitate the comparison between different droplet size.
216
level of MPL (2%) was used to produce these emulsions.
217
conditions, we were able to produce MPL-stabilized emulsions with mean droplets diameters
218
(d32) of 10.70 µm (large), 2.70 µm (medium), and 0.69 µm (small), respectively (Figure 1b).
219
Emulsions coated by sodium caseinate, WPI and MPL initially had monomodal PSD
220
(Figure 2a). While the LF-stabilized emulsions had broad bimodal distributions (Figure 2a).
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The confocal microscopic images showed that the oil droplets (red) were spread in the
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aqueous phases evenly in all the emulsions (Figure 3).
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For this reason, a higher
By altering the homogenization
Particle Charge: The sign and magnitude of the droplets surface charge account for their 13
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stability and interaction with other components. We therefore measured the electrical charge
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at the surface of the lipid droplets before and after passing through the simulated GIT model.
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Initially, all the emulsions had negative charges, and the magnitude of the ζ-potential
227
increased in the order: LF < caseinate < WPI ≈ MPL (Figure 4a). The fact that LF-stabilized
228
emulsion has negative charge (﹣9.6 mV) at pH 7.0 had been attributed to the adsorption of
229
PO4- from the buffer solution in previous study. 36 The relatively high negative ζ-potential of
230
the caseinate or WPI stabilized emulsions was due to the pH of the initial solution (pH 7.0)
231
was obviously higher than their isoelectric point (pI ~ 5), and there were no appreciably
232
differences among the two emulsions. The negative ζ-potential of the emulsions coated by
233
MPL was presumably due to the presence of anionic phospholipids from the MPL that had
234
adsorbed to the oil droplet surfaces. The initial electrical charge of the MPL-stabilized
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emulsions containing different droplet sizes also showed relatively similar high negative
236
charges (Figure 4b).
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Mouth Phase
238
Particle Stability: The mean particle diameter of the LF-stabilized emulsions remained
239
constant after passage through the mouth stage, whereas there was a slight increase for all
240
the other emulsions (Figure 1a). Only for the MPL-stabilized emulsions, this change was
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statistically significant (p < 0.05). The PSD of the emulsions had broad and multimodal
242
distribution after exposure to the mouth phase, with a fraction of particles with similar 14
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dimensions as those in the initial emulsions and another fraction with much larger
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dimensions, which suggests that part of the droplets flocculated under the mouth conditions
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(Figure 2b). Confocal microscopy also indicated that droplet aggregation occurred,
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especially for the MPL-stabilized emulsions (Figure 3a). The visible appearance of the
247
emulsions also suggested that droplet flocculation had occurred because faster creaming
248
occurred (Figure 1c). This effect has already been proposed previously, where it was due
249
to depletion or bridging flocculation effects of mucin in the SSF. 37
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For the 2% MPL stabilized emulsions with different droplet dimensions, the mean
251
diameter of the droplets increased appreciably after passage through the mouth phase (p
10 µm for the protein-coated emulsions (p < 0.05),
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while it was from around 3 µm to 6 µm for the MPL-stabilized emulsions (p > 0.05). These
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results suggest that some form of droplet aggregation occurred within the gastric fluids. The
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confocal microscope images suggest that the increase in droplet size was mainly due to 16
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droplet flocculation (Figure 3a). In contrast, significant droplet aggregation was not exhibited
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in the MPL-stabilized emulsion. In line with our previous study, 23 the fat globules coated by
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original membrane, including MPL and some membrane proteins, in raw milk also did not
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present appreciable flocculation under simulated gastric conditions. Thus, MPL processes the
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ability to stabilize droplets encapsulated in SGF. In contrast, several reasons contributed to
286
the fact that dairy proteins stabilized oil droplets are quite susceptible to aggregation under
287
gastric conditions. Reduced steric and electrostatic repulsion caused by pepsin hydrolyzation,
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electrostatic screening resulted from relatively high ionic strength and bridging flocculation
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arising from mucin molecules all contributed to the aggregation effect. 40, 41
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For the 2% MPL stabilized emulsions with different droplets sizes, the mean diameter of
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the particles in the small and medium size emulsions increased after passage through the
292
stomach phase (p < 0.05), but there was no change for the large size emulsions. Again, the
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relative diameter of the droplets in these emulsions followed a similar trend to that in the
294
initial samples (Figure 1b). The PSD data clearly indicated an increased fraction of larger
295
particles in those samples that aggregated (Figure 2e). The confocal microscopy images
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confirmed the particle size results, with appreciable aggregation only being observed in the
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medium and small size emulsions (Figure 3b).
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Particle Charge: After exposure to the region of stomach, the surface potentials of all the
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samples were slightly positive (from + 0.9 to + 2.3 mV). There was no significant difference 17
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among the different protein-stabilized emulsions (p < 0.05). The pH of the acidic gastric
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fluids (pH 2.5) is fairly below the isoelectric point of all the dairy proteins, and so a strong
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positive ζ-potential would be expected. 42 The fact that the ζ-potential measured was close to
303
neutral can be explained by charge neutralization resulting from the absorption of anionic
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mucin molecules to the surfaces of the cationic protein-stabilized droplets. 41 The relatively
305
low magnitude of the charge on the lipid droplets would be insufficient to create a strong
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electrostatic repulsion between them, which would partly explain the fact that extensive
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droplet aggregation occurred. Furthermore, electrostatic screening and ion binding effects
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resulted from the high ion levels in the gastric fluids would also have reduced the electrostatic
309
repulsion between the particles. The ζ-potential of all the MPL-stabilized emulsions was also
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close to zero (Figure 4a), which can be attributed to similar reasons as for the protein-
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stabilized emulsions.
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Small Intestine Phase
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Particle Stability: After incubation in the small intestinal conditions, the mean droplet size
314
of all the samples decreased appreciably (p < 0.05) (Figure 1a), with the effect being
315
especially pronounced for the MPL-stabilized emulsions (d32 = 0.32 µm). The PSD of the
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protein-stabilized emulsions was monomodal, while that of the MPL-stabilized emulsion
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became broad and bimodal (Figure 2d). The increase in the fraction of smaller particles in
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the PSD (Figure 2d) and the microscopy images suggested that most of the large particles 18
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from the stomach stage have been dissociated in the small intestine stage (Figure 3a),
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presumably due to the action of the digestive enzymes.
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For the emulsions coated by 2% MPL, the mean particle diameters decreased steeply to
322
around 0.27 µm to 0.44 µm (p < 0.05) (Figure 1b). The PSD of all three of these emulsions
323
changed from monomodal under stomach conditions to bimodal under small intestinal
324
conditions (Figure 2e). The confocal microscopy images showed that most of the oil droplets
325
had been hydrolyzed after incubation in small intestine phase for 2h (Figure 3b).
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Particle Charge: After passage through the small intestine stage, the surface potential of
327
all the samples became highly negative (-39.7 to -45.0 mV) (Figure 4), which can be caused
328
by the presence of various types of anionic species, such as bile salts, free fatty acids, peptides,
329
and phospholipids. 43
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Influence of Dairy Emulsifier Type and Droplet Size on Lipid Digestion
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The rate and final extent of lipid digestion of model infant formula containing oil droplets
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surrounded by either dairy proteins or MPL was determined by measuring the FFA released
333
with an automatic titration device over small intestinal period. All the emulsions exhibited
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fairly similar overall lipid digestion profiles (Figure 5). There was a rapid release of FFA in
335
the first 10 min followed by a gentle increment at later times until a relatively steady value
336
was obtained.
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Final Digestion Extent
There was no significant difference among emulsions coated by different emulsifiers in
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terms of final digestion extent, with almost all of the lipids being digested (Figure 5a).
For
340
the emulsions coated by 2% MPL, the initial digestion rate and final digestion extent
341
depended on the diameter of the droplets, decreasing with increasing droplet size. The final
342
digestion extent of the large size emulsion was significantly lower than that of other two
343
emulsions (p < 0.05) (Figure 5b), which can be due to the reduction in the surface area of
344
lipid droplets for the lipase to access to.
345
Initial Digestion Rate
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Although all the lipids in the samples were fully hydrolyzed by the end of the small
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intestine phase, there were some differences in their initial digestion rates. More than half of
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the lipid digestion happened in the first 10 min, thus the FFA released in this period was
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examined. There was a short lag period in all the emulsions containing protein-coated
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droplets, with the effect being most pronounced for the caseinate-stabilized emulsions
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(Figure 6). This effect may have occurred because the protein-coated droplets were
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flocculated extensively in the stomach phase and the flocs had to breakdown before the lipase
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could readily access the lipid droplet surfaces.
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the MPL-stabilized emulsions (Figures 5b and 6), which may have been because they did not
Conversely, a lag phase was not present in
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undergo extensive flocculation in the stomach.
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In summary, the impact of dairy emulsifier type and oil droplet size on the
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gastrointestinal fate of lipid droplets was studied under simulated GIT conditions. Our
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results demonstrated that it is possible to modulate the lipid digestion profile through
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changing the interfacial composition or surface area. Therefore, these results provide
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valuable insights that may facilitate the development of functional foods with dairy
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emulsifiers.
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nutritional requirements of particular populations, such as infants, the elderly, and patients
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with metabolic diseases.
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layer on the performance of the emulsions.
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of the lipid phase composition, as this is known to impact the digestion and solubilization
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of both macronutrients (such as fatty acids) and micronutrients (such as vitamins and
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nutraceuticals).
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These functional foods could be manufactured to satisfy the specific
In this study, we mainly focused on the role of the interfacial In future studies, we will examine the impact
It should be noted that the simulated GIT utilized in this study is representative of the
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healthy human adult gut.
Specialized in vitro digestion models are required to obtain a
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more realistic understanding of the impact of interfacial properties on lipid digestion in
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infants, the aged, or populations with particular disease states.
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important to carry out in vivo studies, using animals or humans, to obtain a more detailed
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understanding of the impact of interfacial properties on emulsion behavior. 21
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Moreover, it will be
Nevertheless,
Journal of Agricultural and Food Chemistry
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our study does provide some valuable insights into the role of interfacial properties on lipid
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digestion in dairy-based emulsions that may be useful for optimizing their performance.
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38. Israelachvili, J. N., Intermolecular and surface forces. Academic press: 2011. 39. Troncoso, E.; Aguilera, J. M.; McClements, D. J., Influence of particle size on the in vitro digestibility of protein-coated lipid nanoparticles. Journal of Colloid and Interface Science 2012, 382, 110-116. 40. Sarkar, A.; Goh, K. K.; Singh, H., Properties of oil-in-water emulsions stabilized by βlactoglobulin in simulated gastric fluid as influenced by ionic strength and presence of mucin. Food Hydrocolloids 2010, 24, 534-541. 41. Sarkar, A.; Goh, K. K. T.; Singh, R. P.; Singh, H., Behaviour of an oil-in-water emulsion stabilized by β-lactoglobulin in an in vitro gastric model. Food Hydrocolloids 2009, 23, 1563-1569. 42. Gumus, C. E.; Decker, E. A.; McClements, D. J., Gastrointestinal fate of emulsionbased ω-3 oil delivery systems stabilized by plant proteins: Lentil, pea, and faba bean proteins. Journal of Food Engineering 2017, 207, 90-98. 43. Singh, H.; Ye, A.; Horne, D., Structuring food emulsions in the gastrointestinal tract to modify lipid digestion. Progress in Lipid Research 2009, 48, 92-100.
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Funding
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This material was partly based upon work supported by the National Institute of Food and
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Agriculture, USDA, Massachusetts Agricultural Experiment Station (MAS00491) and
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USDA, AFRI Grants (2016-08782). The research work was partly funded by the National
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First-class Discipline Program of Food Science and Technology (JUFSTR20180202). Li
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Liang thanks the Chinese Scholarship Council for support (No. 201506790027).
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FIGURE CAPTIONS
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Figure 1. Influence of emulsifier type or droplet size on the mean particle diameter of corn oil
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emulsions after passing through different GIT stages. (a) Emulsifier type. (b) Droplet size. (c)
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Visual appearance of different emulsifier types. Different lowercase letters (a, b, c) represent
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significant differences (Duncan, p < 0.05) between different GIT stages (same emulsifier type or
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droplet size). Different uppercase letters (A, B, C) represent significant differences (Duncan, p