Modulation of Lipid Digestion Profiles Using Filled Egg White Protein

Jie YangYanfei WangMan LiHao WuTianyuan ZhenLiu XiongQingjie Sun. Journal of Agricultural and Food Chemistry 2019 Article ASAP. Abstract | Full Text ...
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Modulation of lipid digestion profiles using filled egg white protein microgels Luping Gu, YUJIE SU, Zipei Zhang, Bingjing Zheng, Ruojie Zhang, David J McClements, and Yan-Jun Yang J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.7b02674 • Publication Date (Web): 25 Jul 2017 Downloaded from http://pubs.acs.org on July 26, 2017

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Journal of Agricultural and Food Chemistry

Modulation of lipid digestion profiles using filled egg white protein microgels Luping Guab, Yujie Sua, Zipei Zhangb, Bingjing Zhengb, Ruojie Zhangb, David Julian McClementsb*, Yanjun Yanga*

a

Key Laboratory of Food Science and Technology, School of Food Science and Technology,

Jiangnan University, Wuxi 214122, People’s Republic of China b

Department of Food Science, University of Massachusetts, Amherst, MA 01003, United States

*Corresponding author: Email address: [email protected]; [email protected]

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Abstract

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Colloidal delivery systems are required to encapsulate, protect, and release active food

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ingredients, such as vitamins, nutraceuticals, and minerals. In this study, lipid droplets were

4

encapsulated within biopolymer microgels fabricated from egg white proteins using an injection-

5

gelation process. Confocal fluorescence microscopy indicated that lipid droplets were dispersed

6

within a network of crosslinked proteins within the microgels. The properties of the lipid-loaded

7

microgels were compared to those of simple oil-in-water emulsions stabilized by egg white

8

proteins. Light scattering and microscopy measurements indicated both delivery systems

9

exhibited good stability under acid conditions (pH 3 to 5), but aggregated at higher pH values

10

due to a reduction in electrostatic repulsion. Simulated gastrointestinal tract studies indicated that

11

lipid droplets encapsulated within protein microgels were digested more slowly than free lipid

12

droplets. Our results therefore suggest that egg white protein microgels may be useful for

13

encapsulation and controlled release of hydrophobic bioactive agents.

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Keywords: egg white proteins; emulsions; microgels; hydrogel beads; digestion; controlled

15

release

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Journal of Agricultural and Food Chemistry

Introduction

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Bioactive agents are substances that exhibit anti-inflammatory, antioxidant, antibacterial,

18

antiviral, anticancer and/or tissue regenerative activity. There has been increasing interest in the

19

encapsulation of bioactive agents in various fields, including the pharmaceutical, food,

20

agrochemical, and cosmetics industries 1. Encapsulation is being utilized to improve the

21

dispersibility, stability, bioactivity, release profile, and safety of bioactive substances

22

Numerous different kinds of colloidal delivery systems have been designed to encapsulate

23

bioactive agents, including microemulsions, nanoemulsions, emulsions, liposomes, solid lipid

24

nanoparticles, biopolymer nanoparticles, and microgels

25

particularly suitable for the encapsulation, protection, and release of lipophilic bioactive agents

26

10-12

27

have limited scope to control the retention and release of encapsulated bioactive components

28

because of the relatively small size and large specific surface area of the droplets they contain 13.

29

Consequently, new forms of delivery systems are required to more precisely control the retention

30

and release profiles of encapsulated components 14.

31

6-9

2-5

.

. Emulsion-based systems are

. However, one of the current limitations of using emulsions for this purpose is that they only

Recently, there has been interest in the design and fabrication of biopolymer microgels as a 15-17

32

means of extending the functional attributes of emulsion-based delivery systems

33

Biopolymer microgels consist of microscopic soft particles containing a network of cross-linked

34

biopolymer molecules inside 15. They typically contain a relatively large amount of water trapped

35

through capillary forces (> 80%), which distinguishes them from biopolymer nanoparticles.

36

Lipid droplets can be encapsulated within the interior of the biopolymer microgels, which

37

enables one to modulate their stability, retention and release behavior by varying the pore size,

38

dimensions, and network characteristics of the microgels. For example, the release of

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encapsulated components can be retarded by decreasing the pore size, increasing the microgel

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dimensions, or ensuring that there are strong attractive interactions with the biopolymer network

41

18

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advantage for the development of more “label-friendly” consumer products

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microgels are most commonly formed from food-grade polysaccharides, such as alginate,

44

chitosan and carrageenan

45

proteins can also be used 24-27.

. Biopolymer microgels are typically assembled from proteins or polysaccharides, which is an

20-23

19

. Biopolymer

, and/or food-grade proteins, such as milk, meat, fish, and plant

46

There have been a number of previous studies on the application of protein microgels as

47

delivery systems for pharmaceuticals or nutraceuticals. For instance, riboflavin has been

48

encapsulated in microgels assembled from whey protein

49

has been encapsulated in protein microgels formed from a mixture of β-lactoglobulin and

50

lysozyme

51

gliadin or zein

52

33, 34

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microgels formed from egg white proteins.

30

28

, soy protein, and zein

29

. Vitamin D

. Resveratrol has been encapsulated in protein microgels fabricated from either 31, 32

. Zein microgels have also been used to encapsulate curcumin and quercetin

. In the current study, we examine the possibility of encapsulating lipid droplets within

54

Egg white proteins are common food ingredients that are widely used in food products due

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to their high nutritional value and excellent functional properties 35. Egg white contains a mixture

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of globular proteins, such as ovalbumin, ovotransferrin and lysozyme 36. These globular proteins

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unfold when they are heated above their thermal denaturation temperature (around 70-85 °C),

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which exposes non-polar and sulfhydryl-containing amino acids. The exposure of these reactive

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amino acids may lead to protein aggregation and cross-linking due to attractive hydrophobic

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interactions and disulfide bond formation. At sufficiently high protein levels, the cross-linking of

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the protein molecules leads to the formation of a strong viscoelastic hydrogel. Compared to whey

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and soy proteins, a lower temperature is typically required to denature and cross-link egg white

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proteins. Moreover, egg white proteins are also effective emulsifiers that can be used to form and

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stabilize oil-in-water emulsions

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properties of egg white proteins enables the fabrication of lipid-droplet loaded biopolymer

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microgels, which could be used as delivery system for lipophilic bioactive agents.

37

. As a consequence, the good gelling and emulsifying

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Various approaches are available to encapsulate lipophilic bioactive agents into protein

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microgels including injection methods, templating methods, phase separation methods,

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antisolvent precipitation, and particle reduction methods

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biopolymer microgels were formed using an injection-gelation method that involved a number of

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steps. First, an oil-in-water emulsion was formed by homogenizing oil, water, and egg white

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protein together using a high-pressure homogenizer. Second, this emulsion was injected into a

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hot oil phase using an encapsulation unit to crosslink the egg white proteins and form lipid-

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loaded microgels. The stability and potential gastrointestinal fate of the lipid-loaded microgels

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were compared to those of simple oil-in-water emulsions stabilized by egg white protein.

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Materials and Methods

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Materials

18

. In the present study, lipid-loaded

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Hen eggs and sunflower oil were purchased from a local supermarket. Polyglycerol

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polyricinoleate ester (PGPR) was obtained from Palsgaard USA (Morristown, NJ, USA). Nile

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red, fluorescein isothiocyanate (FITC), n-hexane, mucin from porcine stomach, pepsin from

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porcine gastric mucosa, lipase from porcine pancreas, and porcine bile extract were purchased

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from Sigma Chemical Company (St. Louis, MO, USA). All other chemicals and reagents used in

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this study were of analytical grade. Double distilled water was used to prepare all aqueous

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solutions.

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Sample preparation

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Preparation of Egg White Proteins

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The egg white proteins were extracted from fresh eggs by an isoelectric precipitation 37

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method, which has been described in detail in our previous study

. The protein content was

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determined using the Kjeldahl method (10%, w/v) and the determination of proteins composition

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showed that ovomucoid was removed from the solutions by isoelectric precipitation, leaving

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lysozyme, ovalbumin, and ovotransferrin. A major reason for removing the insoluble matter from

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the protein solutions was to prevent the homogenizer and encapsulation devices from becoming

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blocked.

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Preparation of Emulsions

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The oil-in-water emulsions were fabricated by homogenizing 80% of aqueous phase (10%

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egg white proteins, pH 3.0) with 20% of oil phase (sunflower oil). This pH was selected for

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aqueous phase because it was found to be the optimum one for forming stable emulsions.

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Initially, the aqueous and oil phases were mixed together using a high-speed blender for 2 min

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(M133/1281-0, Biospec Products, Inc., ESGC, Switzerland). This led to the formation of some

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foam on top of the coarse emulsions, which was discarded because it would no pass through the

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homogenizer. The coarse emulsions were then further homogenized using a two-stage high-

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pressure valve homogenizer (15MR-8TA, APV Gaulin Inc., Wilmington, MA, USA) for three

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cycles. The operating pressures of first and second stages of the homogenizer were 4500 psi and

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500 psi, respectively. The resulting emulsions were then naturally cooled down to room

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temperature.

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Preparation of Microgel Beads

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Egg white protein microgels were fabricated using a commercial extrusion device

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(Encapsulator B-390, BUCHI, Switzerland). Initially, sunflower oil containing an oil-soluble

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surfactant-PGPR (4%, w/w) was heated to 90 °C as an external oil phase. Subsequently, oil-in-

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water emulsions were extruded through a 120 µm nozzle into the external oil phase with

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continuous stirring. The emulsion droplets suspended in oil phase were then kept at 90 °C for 30

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min to promote protein gelation and microgel formation 38. After that, the microgel beads formed

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were left in the oil phase at room temperature for 24 h. The hardened microgels were then

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collected by vacuum filtration and washed with n-hexane and distilled water to remove any

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excess external oil phase or PGPR from their surfaces. Finally, the dried microgels were placed

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at 4 °C before further analysis. It was anticipated that most of the lipophilic PGPR and external

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oil phase would be removed from the microgels during the solvent washing process, but this

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should be confirmed in future studies.

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Determination of Particle Size and ζ-potential

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The mean particle size of samples and particle size distributions were measured using a laser

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light

scattering

instrument

(Mastersizer

2000,

Malvern

Instruments

Ltd.,

Malvern,

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Worcestershire, UK). Prior to measurements, samples were diluted with pH-adjusted phosphate

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buffer (5 mM, pH 3~8) to minimize multiple scattering effects and stirred continuously during

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analysis to ensure the systems were homogeneous. The refractive index values used in the

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calculations were 1.45 and 1.33 for oil phase and aqueous phase, respectively. ζ-potential was

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tested by a particle electrophoresis device (Zetasizer Nano, Malvern Instruments, Worcestershire,

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UK).

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In Vitro Digestion

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Before digestion, samples were diluted with phosphate buffer (5 mM, pH 3.0) to obtain the

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same initial lipid content (0.2 g) and total weight (7.5 g), and then were subjected to a simulated

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gastrointestinal tract (GIT) model, which consists of mouth, stomach and small intestine phases.

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Since the GIT mode used has been described previously in detail by our research group 39, it was

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briefly summarized in the present study. The compositions of the simulated GIT fluids used are

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listed in Table 1 40, 41.

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Briefly, samples and simulated saliva fluid containing mucin were preheated to 37 °C before

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use. The digestion started by mixing samples (7.5 g) and saliva (7.5 g) and incubating for 2 min

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at 37 °C. Then pepsin solution (15 g) was added to the mixture and the value of pH was adjusted

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to 2.5. Subsequently, the mixture was incubated for 2 h at 37 °C. Finally, simulated intestine

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fluid (1.5 mL), bile salts (3.5 mL) and lipase (2.5 mL) were added to the mixture and incubated

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for 2 h at 37 °C. During incubation, the pH was maintained at 7.0.

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Microstructural Analysis

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Microstructural analysis of the different samples was performed using optical microscopy

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(Nikon Eclipse E400, Nikon Corp., Japan). Samples were diluted with phosphate buffer in a

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glass test tube. For emulsions, a drop of diluted sample was placed on a microscope slide and

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then covered with a thin glass slip. For microgels, a drop of diluted sample was placed on the

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microscope slide and then analyzed without a cover slip, since microgels were relatively soft and

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easily deformed. The microstructural images were then captured using digital image processing

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software (Micro Video Instruments Inc., Avon, MA, USA). Samples were observed at a

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magnification of ×600 (×60 objective lens and ×10 eyepiece lens).

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The confocal fluorescence microscopy images of samples were acquired using a Nikon

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confocal microscope (Nikon D-Eclipse C1 80i, Nikon, Melville, NY, USA). To observe the

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internal structure of microgel beads, a freezing microtome (Cryostar NX70, Thermo Electron

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Corporation, MA, USA) was used to cut them into thin slices. The temperature and section

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thickness were set to -21 °C and 5 µm, respectively. Prior to confocal microscopy observation,

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samples were dyed with Nile red and FITC solution to obtain red (lipids) and green (protein)

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fluorescence images, respectively. The image analysis software (NIS-Elements, Nikon, Melville,

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NY) was used to analyze the resulting confocal microscopy of samples.

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Statistical Analysis

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Each measurement was conducted in triplicate. One-way variance analysis was performed

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using SPSS 19.0 package and Duncan’s Multiple Range Test (p < 0.05) was used to detect

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significant difference between mean values.

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Results and Discussion

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Formation of Emulsions and Microgel Beads

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In the present study, two delivery vehicles were designed: (i) emulsions and (ii) microgels. A

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schematic overview of the procedure used to prepare the lipid-droplet loaded microgels is shown

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in Fig. 1.

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Initially, oil-in-water emulsions were produced through homogenization of 20% oil phase

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(sunflower oil) and 80% aqueous phase (10% egg white proteins, pH 3.0). The mean particle size

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of fresh emulsions was 339 nm (Table 2) and particle size distribution was monomodal, i.e., it

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contained a single peak (Figs. 2a and 4). Preliminary experiments indicated that the pH of

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aqueous phase during homogenization was a key factor in determining stability of emulsions

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formed. When emulsions were prepared in the pH range 5.0 to 8.0, rapid phase separation was

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observed immediately after homogenization. The most likely reason for the poor emulsion

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stability observed in this pH range is the relatively weak electrostatic repulsion between the

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protein-coated lipid droplets. The main components in egg white proteins are ovalbumin,

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ovotransferrin and lysozyme, which have isoelectric points of approximately 4.7, 6.1, and 10.7,

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respectively 37, 38. Consequently, the surface potential on the oil droplets would be expected to be

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fairly low in this pH range. Conversely, relatively stable emulsions could be formed when the pH

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during homogenization was in the range 3.0 to 4.0, which was far from the isoelectric point of

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egg white proteins.

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A relatively high level of proteins (10%) was included in the emulsions so as to ensure that

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they would form a gel after heating. Preliminary experiments showed that when the protein level

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was below this value the microgels formed were very fragile and easily broken by simple stirring

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(data not shown). Conversely, when the protein level was too high, the emulsions were too

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viscous to pass through the extrusion device used for the preparation of the microgels. Around

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10% protein was therefore used as a compromise to ensure that the emulsions would easily flow

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through the encapsulator, but that relatively strong microgels were formed after injection.

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Protein microgels were produced using the emulsification-gelation method by injecting an

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aliquot of the emulsion into hot oil so as to promote protein cross-linking and gel formation. The

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temperature (90 °C) used was sufficient to promote rapid gelation of the egg white proteins. The

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aggregation of the microgels formed within the oil was inhibited by including a lipophilic

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surfactant within the oil phase (4% PGPR). This surfactant would be expected to adsorb to

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hydrophilic microgels surfaces and form a protective coating that inhibited their close

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association. Under the optimized conditions, the mean diameter of microgels formed was ~260

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µm (Table 2) and the particle size distribution was relatively narrow (Fig. 2b). In addition, the

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microgels formed were spherical and had smooth surfaces (Fig. 5). It should be noted that we

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also tried to form microgels by simply injecting emulsions into a hot oil phase using a syringe or

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pipette, but we could not form microgels with uniform sizes and shapes using this method.

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Influence of pH on Particle Stability

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The colloidal stability of emulsions and microgels would be expected to play a key role in

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their commercial applications within food products. And thus, pH sensitivity of the two delivery

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systems was analyzed from pH 3.0 to 8.0 since this covers most food applications. The

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emulsions and beads were dispersed in phosphate buffer solutions with different pH values for

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24 h before analysis.

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As shown in Table 2, the mean particle diameters of oil droplets in emulsions were relatively

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small and stable between pH 3.0 and 6.0 (< 0.4 µm), but increased significantly from pH 7.0 to

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8.0 (> 17 µm). The particle size distributions of the emulsions broadened appreciably when the

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pH was increased to around 6.0 (Fig. 2a), suggesting that they had become unstable to droplet

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aggregation. An increase in particles size was also observed in microscopy images of these

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systems, which was attributed to extensive droplet flocculation (Fig. 4). Conversely, emulsions

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exhibited good aggregation stability under more acidic conditions, which may be because the pH

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value was well below the isoelectric point of adsorbed proteins. Consequently, the droplets had a

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high positive surface potential, which would generate a strong electrostatic repulsion between

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them

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values support this hypothesis (Fig. 3): the ζ-potential changes from highly positive to fairly

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negative from pH 3.0 to 8.0 and the zero-charge point appears around pH 6.6.

42, 43

. Results from electrophoresis measurements made on the emulsions at different pH

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For microgels, with the value of pH increasing, the mean particle size decreased slightly

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(Table 2), and slight change was observed in particle size distribution (Fig. 2b). The optical

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microscopy images suggested the shape of the microgels was spherical with smooth surfaces at

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all pH values (Fig. 5a). Confocal microscopy were utilized for the determination of locations of

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oil droplets (stained red) and protein molecules (stained green) within the microgels. Initially, the

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fluorescence dyes were added to a suspension of the microgels, and then the images were taken.

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The confocal microscopy images exhibited that dyed oil droplets were fairly evenly distributed

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throughout microgels at lower pH values, but that they tended to be located primarily at the

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edges of the microgels at higher pH values (Fig. 5b). Interestingly, the confocal microscopy also

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images suggested that the dyed protein molecules tended to be located at the exterior of the

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microgels at lower pH values, but that they tended to leach out of the microgels at higher pH

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values (Fig. 5b). The phenomenon may have been due to differences in the location of the

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proteins and lipids within the microgels at different pH values, or they may simply have been due

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to a restriction in the ability of the fluorescence dyes to diffuse into the protein microgels. For

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this reason, the potential impact of dye diffusion into the microgels on their confocal microscopy

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images was investigated. A microtome was used to cut the microgels into thin slices that were

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then dyed to observe their internal structure. Since the internal microstructure images of the

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microgels obtained at different pH values were similar, only the images at pH 3.0 are shown as

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an example (Fig. 6). These images clearly show that both the oil droplets and proteins were

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relatively uniformly distributed throughout the interior of microgels, which indicates that the

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heterogeneous distribution of the fluorescence dyes observed within the intact microgels (Fig. 5)

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was due to restriction of dye diffusion rather than differences in protein or lipid distribution.

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Nevertheless, the fact that an appreciable amount of proteins was observed in aqueous phase

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surrounding microgels under neutral and alkaline conditions (Fig. 5) would account for the

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decrease in mean particle diameter that was also observed at high pH values (Table 2).

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The ζ-potential-pH profiles of emulsions and microgels was fairly similar (Fig. 3), which

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could be explained by the fact that both types of colloidal particles would be covered by egg

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white protein molecules. However, the microgels did not appear to be prone to extensive

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flocculation at higher pH conditions, whereas emulsions were. This may have been because the

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microgels were so large that they did not move around due to Brownian motion, and so they did

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not encounter each other frequently.

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Influence of GIT Conditions on Particle Characteristics

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The two different delivery systems were designed to encapsulate and deliver bioactive

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agents, and thus it is important to analyze their behavior when they are subjected to the various

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stages of the GIT mode: mouth; stomach; and, small intestine. Consequently, changes in particle

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diameter, ζ- potential and microstructure of emulsion droplets and microgels were measured as

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they passed through the simulated GIT conditions.

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The initial emulsions had relatively small mean particle size and the particle size distribution

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was monomodal (Fig. 7a). After they were exposed to the three stages of GIT mode, their

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particle size distributions remained monomodal, but the mean particle diameters increased

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considerably, which indicated some droplet aggregation had occurred. The extensive droplet

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aggregation was also observed in confocal microscopy images of emulsions, after exposure to

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the simulated mouth and stomach phases (Fig. 9). Since interfacial properties of emulsions were

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related to the changes in particle size when they were exposed to various stages of the GIT

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conditions, changes in surface potential (ζ-potential) of particles were also evaluated (Fig. 8).

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The initial emulsions had relatively high positive surface potentials (+35 mV), which can be

263

explained by the fact that the pH is far from their isoelectric point. As a result, the initial

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emulsions had good aggregation stability due to the relatively strong electrostatic repulsion

265

between lipid droplets. As microgels passed through mouth phase, the surface potential became

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negative (-13.2 mV) because of the change in pH condition to neutral one (see Fig. 3) and the

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presence of anionic mucin molecules that adsorbed to surfaces of lipid droplet. As they passed

268

through stomach phase, ζ-potential became close to zero (-1.8 mV), which was unexpected since

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the protein molecules would have been expected to have a high positive charge in the highly

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acidic gastric fluids. This phenomenon may have occurred due to the fact that some anionic

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species (such as mucin) adsorbed to the surfaces of protein-coated lipid droplet and some

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positively charged residues in proteins exfoliated from surfaces of oil droplet inducing by pepsin

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44, 45

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intestine phase (-40.8 mV), which may due to adsorption of surface-active anionic species to

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their surface, such as peptides, bile salts, phospholipids, and free fatty acids 46.

. The ζ-potential of droplets became strongly negative as they passed through to the small

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The microgels exhibited quite different behavior in the various regions of GIT compared to

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emulsions. The mean particle size of microgels decreased slightly from the initial systems (269

278

µm) to the ones that had been exposed to simulated oral conditions (263 µm) (Table 3). This

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decrease may have been caused by some protein exfoliation from protein microgels surfaces

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under neutral conditions of simulated saliva. When microgel beads moved from mouth to

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stomach stage, a further reduction had occurred in the mean particle diameter and a population of

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relatively small particles formed (Fig. 7b), which was mainly because of the digestion of proteins

283

by pepsin in simulated gastric phase. In addition, the degradation of the microgels may also have

284

been induced by other factors, such as alternations in ionic strength, pH, or agitation as exposure

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to simulated stomach conditions. After incubation in the small intestine fluids, there was a

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further decrease in particle diameters to only a few microns and the particle size distributions

287

became broad, indicating that a large-scale of different-sized colloidal particles were present in

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the digestive fluids.

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The surface potentials of microgel particles were fairly similar to those of emulsions during

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incubation in different GIT regions (Fig. 8). This phenomenon can be explained by the fact that

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both kinds of colloidal particles were initially coated by egg white proteins, which dominated

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their electrical characteristics. Confocal laser scanning microscopy showed that the microgels

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maintained their spherical shape after exposure to the oral and gastric phases, but then were

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largely disrupted under small intestinal condition (Fig. 10). Lipid-rich particles observed in the

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small intestine phase were probably undigested lipid droplets, vesicles, micelles and insoluble

296

calcium salts 47.

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Influence of Delivery System Types on Lipid Digestion

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Finally, an automatic titration (pH stat) method was used to evaluate the influence of

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delivery system types on the rate and extent of lipid digestion in the simulated small intestine

300

condition. The amount of free fatty acids (FFA) released from oil phase was calculated based on

301

the dosage of NaOH titrated into the reaction chamber to maintain a constant pH value (7.0). The

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FFA release profiles indicated the initial rate of lipid digestion was considerably slower in

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microgel beads than in emulsions (Fig. 11). For the emulsions, FFAs released rapidly throughout

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the first 15 min, subsequently, more slowly at longer times. This rapid rate of lipid digestion can

305

be attributed to small droplet sizes and large surface area of lipid droplets, which would enable

306

lipase molecules to easily absorb to the lipid droplets surfaces and initiate lipid digestion. In

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converse, the rate of lipid digestion was noticeably slower in microgels throughout the small

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intestine phase. There was an initial burst of lipid digestion (~20% FFA released) during the first

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1 min of digestion, which may because that some of microgels were disrupted in stomach phase

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by pepsin hydrolysis, thereby releasing a fraction of lipid droplets into the surrounding aqueous

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phase. In consequence, when exposed to lipase molecules, these free oil droplets were rapidly

312

digested. There was a more gradual release of FFAs at longer incubation time, which suggested

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that digestion of lipid droplets was retarded when they were encapsulated within microgels.

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Presumably, protein matrix surrounding the lipid droplets had to be digested before the lipid

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droplets could be digested in this system. Interestingly, after exposure to small intestine phase,

316

full digestion occurred for both types of colloidal particles. Consequently, the microgels could be

317

used to provide a delayed or sustained release of the lipids, without preventing their full

318

digestion.

319

In summary, we have shown that lipid-loaded egg white protein microgels can be fabricated

320

using an emulsification-injection-gelation method. Initially, an oil-in-water emulsion is prepared

321

that contains egg white proteins as both an emulsifier and gelling agent. This emulsion is then

322

injected into a hot oil phase, which promotes thermal gelation of proteins and the formation of

323

lipid-loaded microgels. The microgels are then collected and washed to remove the residual

324

external oil phase. The emulsions and microgels had good stability at values ranging from pH 3.0

325

to 5.0 due to strong electric repulsion between cationic protein-coated surfaces. However, they

326

were unstable at higher pH values due to a change in their charge characteristics around the

327

protein isoelectric point. Simulated GIT studies suggested that the digestion rate of lipid droplets

328

encapsulated in microgels beads was significantly slower than those encapsulated in emulsions.

329

Consequently, microgel beads fabricated by egg white proteins may be appropriate for

330

encapsulation, retention and controlled release of lipophilic bioactive components.

331

References

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38. Mine, Y., Recent advances in the understanding of egg white protein functionality. Trends

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39. Zhang, Z.; Chen, F.; Zhang, R.; Deng, Z.; McClements, D. J., Encapsulation of pancreatic

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stabilized emulsions in an artificial saliva. Food Hydrocolloids 2009, 23, 1270-1278.

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41. Wooster, T. J.; Day, L.; Xu, M.; Golding, M.; Oiseth, S.; Keogh, J.; Clifton, P., Impact of

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different biopolymer networks on the digestion of gastric structured emulsions. Food

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42. Zhang, R.; Zhang, Z.; Zhang, H.; Decker, E. A.; McClements, D. J., Influence of emulsifier

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type on gastrointestinal fate of oil-in-water emulsions containing anionic dietary fiber (pectin).

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Food Hydrocolloids 2015, 45, 175-185.

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43. Liu, F.; Wang, D.; Xu, H.; Sun, C.; Gao, Y., Physicochemical properties of β-carotene

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emulsions stabilized by chlorogenic acid–lactoferrin–glucose/polydextrose conjugates. Food

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Chem. 2016, 196, 338-346.

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44. Vingerhoeds, M. H.; Blijdenstein, T. B. J.; Zoet, F. D.; van Aken, G. A., Emulsion

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flocculation induced by saliva and mucin. Food Hydrocolloids 2005, 19, 915-922.

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45. Sarkar, A.; Goh, K. K. T.; Singh, R. P.; Singh, H., Behaviour of an oil-in-water emulsion

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stabilized by β-lactoglobulin in an in vitro gastric model. Food Hydrocolloids 2009, 23, 1563-

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453

1569.

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46. Zhang, R.; Zhang, Z.; Zhang, H.; Decker, E. A.; McClements, D. J., Influence of lipid type

455

on gastrointestinal fate of oil-in-water emulsions: In vitro digestion study. Food Res. Int. 2015,

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75, 71-78.

457

47. Salvia-Trujillo, L.; Qian, C.; Martín-Belloso, O.; McClements, D. J., Influence of particle

458

size on lipid digestion and β-carotene bioaccessibility in emulsions and nanoemulsions. Food

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Chem. 2013, 141, 1472-1480.

460

Funding Information

461

The work was supported by the National Natural Science Foundation of China [grant number

462

31501428 and 31671809] and Jiangsu province “Collaborative Innovation Center for Food safety

463

and quality control” industry development program. This material was also partly based upon

464

work supported by the National Institute of Food and Agriculture, USDA, Massachusetts

465

Agricultural Experiment Station (MAS00491) and USDA, AFRI Grants (2014-67021).

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Figure captions

467

Fig. 1: Scheme of preparation of O/W emulsions and microgel beads based on egg white

468

proteins.

469

Fig. 2: Influence of pH on the particle size distribution of different delivery systems: (a)

470

emulsions; (b) microgel beads.

471

Fig. 3: Influence of pH on the electrical characteristics (ζ-potential) of different delivery systems

472

under different pH conditions: (a) emulsions; (b) microgel beads.

473

Fig. 4: Microstructures of emulsions under different pH conditions: (a) regular optical

474

microscopy; (b) laser confocal microscopy (scale bar is 1 µm).

475

Fig. 5: Microstructures of microgel beads under different pH conditions: (a) regular optical

476

microscopy; (b) laser confocal microscopy (scale bar is 200 µm).

477

Fig. 6: Laser confocal microscopy of internal microgel beads (scale bar is 200 µm). (a)

478

sunflower oil stained with Nile red; (B) egg white proteins stained with FITC; (c) merged image

479

of a, b.

480

Fig. 7: Particle size distribution of different delivery systems after exposure to successive GIT

481

stage: (a) emulsions; (b) microgel beads.

482

Fig. 8: The electrical characteristics (ζ-potential) of different delivery systems after exposure to

483

successive GIT stage: (a) emulsions; (b) microgel beads.

484

Fig. 9: Confocal microscopy of emulsions after exposing to different regions of the simulated

485

GIT (scale bar is 1 µm).

486

Fig. 10: Confocal microscopy of microgel beads after exposing to different regions of the

487

simulated GIT (scale bar is 200 µm).

488

Fig. 11: The amount of free fatty acids released from emulsions and microgel beads measured

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489

using

a

pH-stat

in

vitro

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digestion

model.

24

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Table 1: Chemical Composition of Simulated GIT Fluids During Each in Vitro Digestion Region. Digestion Phase

Mouth Phase

Stomach Phase

Small Intestine Phase

Compound

Amount

Sodium chloride

13.64 mM

Ammonium nitrate

2.05 mM

Monopotassium phosphate

2.34 mM

Potassium chloride

1.35 mM

Potassium citrate

0.50 mM

Uric acid sodium salt

0.06 mM

Urea

1.65 mM

Lactic acid sodium salt

0.65 mM

Porcine gastric mucin (type II)

15 mg/mL

Sodium chloride

17.11 mM

Hydrochloric acid

41.91 mM

Pepsin

1.6 mg/mL

Calcium Chloride Dihydrate

10 mM

Sodium Chloride

150 mM

Bile Salts

5 mg/mL

Lipase

1.6 mg/mL

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Table 2: Influence of pH on the Mean Particle Diameter of Different Delivery Systems: Emulsions and Droplet-Loaded Microgel Beads. Mean Particle Diameter (µm) Samples pH 3

pH 4

pH 5

pH 6

pH 7

pH 8

Emulsions

0.39±0.001a

0.335±0.001a

0.323±0.001a

0.351±0.004a

17.43±1.2b

17.65±0.61b

Microgel Beads

269.50±2.69a

264.47±2.91b

256.17±2.68cd

254.29±2.87cd

253.23±1.56c

258.89±1.97d

*

Data with different letters (a-d) in a row are significantly different (p< 0.05).

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Table 3: Mean Particle Diameter of Different Delivery Systems After Exposure to Different GIT Regions. Mean Particle Diameter (µm) Samples Initial

Mouth

Stomach

Intestine

Emulsions

0.339±0.001a

14.995±0.634b

23.407±1.923c

5.323±0.686d

Microgel Beads

269.504±2.687a

263.498±4.009b

44.488±5.009c

4.217±0.063d

*

Date with different letter (a-d) in a row mean significantly difference (p< 0.05).

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Fig. 1

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120 Emulsions

pH 3.0

Volume Fraction (%)

100 pH 4.0

80 pH 5.0

60 pH 6.0

40 pH 7.0

20 pH 8.0

0 0.01

0.1

1

10

100

1000

10000

Particle Diameter (µm) (a)

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140 Microgel beads

Volume Fraction (%)

120

pH 3.0

100 pH 4.0

80 pH 5.0

60 pH 6.0

40 pH 7.0

20 pH 8.0

0 10

100

1000

10000

Particle Diameter (µm) (b) Fig. 2

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ζ-potential (mV)

30 20 10 0 3

4

5

6

7

8

-10 Emulsions

-20

Microgel beads

-30

pH Fig. 3

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(a)

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pH 3.0

pH 4.0

pH 5.0

pH 6.0

pH 7.0

pH 8.0

(b) Fig. 4

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(a)

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pH 3.0

pH 4.0

pH 5.0

pH 6.0

pH 7.0

pH 8.0

(b) Fig. 5

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(c) Fig. 6

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80

Volume Fraction (%)

70

Emulsions Initial

60 50

Mouth

40 30

Stomach

20 10 0 0.01

Intestine

1

100

10000

Particle Diameter (µm) (a)

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90 80

Microgel beads

Volume Fraction (%)

Initial

70 60 Mouth

50 40

Stomach

30 20

Intestine

10 0 0.01

1

100

10000

Particle Diameter (µm) (b) Fig. 7

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ζ-potential (mV)

30 20 10 0 -10 -20 -30

Emulsions Microgel beads

-40 -50 Initial

Mouth

Stomach

Intestine

Fig. 8

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Mouth

Stomach

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Intestine

Fig. 9

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Mouth

Stomach

Intestine

Fig. 10

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105

FFA Released (%)

90 75 60

Emulsions

45

Microgel beads

30 15 0 0

20

40

60

80

100

120

Digestion Time (min) Fig. 11

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Graphic for table of contents

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