Process conditions that are applied to make structured soy-protein-based food commonly include high temperatures. Those conditions can induce protein oxidation, leading to a decrease in their susceptibility to proteolysis by digestive enzymes. We aimed to investigate the effects of thermomechanical processing on oxidation and in vitro gastric digestion of commercial soy protein ingredients. Samples were sheared at 100 to 140 °C and characterized for acid uptake, carbonyl content, electrophoresis, and surface hydrophobicity. The enzymatic hydrolysis was determined in simulated gastric conditions. Protein ingredients were already oxidized and showed higher surface hydrophobicity and hydrolysis rate compared with those of the processed matrices. However, no clear correlation between the level of carbonyls and the hydrolysis rate was found. Therefore, we conclude that gastric digestion is mostly driven by the matrix structure and composition and the available contact area between the substrate and proteolytic enzymes.
Process conditions that are applied to make structured soy-protein-based food commonly include high temperatures. Those conditions can induce protein oxidation, leading to a decrease in their susceptibility to proteolysis by digestive enzymes. We aimed to investigate the effects of thermomechanical processing on oxidation and in vitro gastric digestion of commercial soy protein ingredients. Samples were sheared at 100 to 140 °C and characterized for acid uptake, carbonyl content, electrophoresis, and surface hydrophobicity. The enzymatic hydrolysis was determined in simulated gastric conditions. Protein ingredients were already oxidized and showed higher surface hydrophobicity and hydrolysis rate compared with those of the processed matrices. However, no clear correlation between the level of carbonyls and the hydrolysis rate was found. Therefore, we conclude that gastric digestion is mostly driven by the matrix structure and composition and the available contact area between the substrate and proteolytic enzymes.
Entities:
Keywords:
gastric digestion; meat analogues; processing; protein oxidation; soy proteins
The interest in using
plant proteins as an alternative to animal
proteins in foods has raised over the past years for environmental,
health, and animal welfare reasons.[1] Currently,
many plant-protein-based products have been developed to substitute
meat and are available on the market. Those products are known as
meat analogues. The most common ingredient used in that respect is
soy proteins, which are often combined with polysaccharides.[2,3] Some techniques, such as extrusion and shear cell technology, are
based on applying deformation at high temperatures, allowing for making
fibrous plant-based products that aim at mimicking whole muscle meat
products. However, temperature affects the physiochemical status of
the proteins, which can result in protein denaturation, protein oxidation,
loss of essential amino acids, change in surface-exposed hydrophobicity,
and aggregation. Protein oxidation in foods can be induced directly
by free radicals and indirectly by lipid and Maillard reaction products,
such as α-dicarbonyls.[4] It can notably
lead to amino acid side chain or protein backbone modifications, such
as the formation of carbonyls, loss of thiol groups and tryptophan,
and cross-links between amino acids residues.[5,6] These
modifications can result in fragmentation of the protein backbone,
protein aggregation, and polymerization. Consistently, protein carbonyls
are commonly analyzed as markers of the oxidative damage to food proteins.[6]Protein oxidation is temperature- and pro-oxidant
concentration-dependent
and can alter protein digestion in different ways. For instance, at
low pro-oxidant concentration or temperatures below 100 °C, minor
modifications and partial unfolding of proteins can enhance digestion
by exposure of susceptible sites of the proteins to digestive enzymes.
These modifications have been described to increase the protein digestibility
value of extrudates compared to nonextruded products.[7] However, high pro-oxidant concentrations or heating proteins
above 100 °C can induce extensive protein oxidation. This, in
turn, decreases protein susceptibility to digestive enzymes, because
of amino acid side-chain modifications or protein aggregation.[8,9] Though it is known that in vivo oxidation is related to aging and
diseases,[10] exposure to dietary oxidized
proteins may also have adverse impacts on human health. Recent studies
have shown that that dietary oxidized proteins may promote some organ
dysfunctions using in vitro and animal models.[11] However, oxidized protein levels used in those
studies have not been reported in food so far.Besides the chemical
status of the proteins, gastric protein digestion
can be affected by food structure, matrix composition (e.g., other
ingredients), and pH.[12] Protein digestion
is promoted by pepsin activity (optimal activity between pH 1.5 and
2.5) and mechanical forces, which help to grind and disintegrate the
food into smaller particles.[13,14] The rate of disintegration
indicates how fast food is broken down into small particles. The breakdown
is a result of surface erosion and texture softening.[15] The effect of food structure on pepsin hydrolysis has been
shown for protein gels already, in which hydrolysis was limited to
a thin layer at the surface of the gel. Therefore, the main constraints
for pepsin hydrolysis were proven to be the surface area and surface
erosion rate of the gels.[16,17]In this study,
we investigate the effect of thermomechanical processing
on the oxidation of commercial soy proteins ingredients, which may
contain preformed protein-bound carbonyls.[18] The subsequent impact of processing on the in vitro gastric digestion
of soy-protein-based matrices was also assessed.
Materials
and Methods
Materials
Soy protein isolate (SPI, 83.4% protein,
SUPRO 500E IP) and soy protein concentrate (SPC, 59.4% protein, ALPHA
8 ZP) (N x 5.7) were obtained from Solae (St Louis, MO, U.S.A.). Pectin
from citrus peel (P9135), pepsin from porcine gastric mucosa (400–800
units/mg, P1725), NaCl (ReagentPlus, ≥ 99%), sodium tetraborate
decahydrate (Borax, ≥ 99.5%), DL-dithiothreitol (DTT) (≥98%), o-phtaldialdehyde (OPA) (≥97%), trifluoracetic acid
(TFA), acetonitrile (ACN), 8-anilino-1-napthalenesulfonic acid ammonium
salt (ANSA, ≥ 97%), β-mercaptoethanol, sodium phosphate
monobasic dihydrate (≥99%), sodium phosphate dibasic (≥99%),
diaminoethane tetraacetic acid (EDTA), tris(hydroxymethyl) aminomethane
(Tris), KCl, 2,4-dinitrophenylhydrazine (DNPH), trichloroacetic acid
(TCA), sodium dodecyl sulfate (SDS), and guanidine hydrochloride were
obtained from Sigma-Aldrich (Darmstadt, Germany). HCl 37% was purchased
from VWR Chemicals (Fontenay-sous-Bois, France), and solvents such
as ethanol (ACS 99%) and ethyl acetate (ACS 99%) were purchased from
Emsure (Merck Millipore, Darmstadt, Germany). A bicinchoninic acid
(BCA) protein assay kit was obtained from Thermo Scientific (Pierce,
Rockford, U.S.A.). Mini-Protean TGX gels, Biosafe Coomassie G-250
stain, 2× Laemmli sample native buffer: 10× Tris/glycine/SDS
buffer (25 mM Tris, 192 mM glycine and 0.1 w/v% SDS, 1× solution,
pH 8.3), and Precision plus protein dual color standard were purchase
from Bio-Rad Laboratories (Munchen, Germany). l-Serine was
purchase from Alfa Aesar (99%, Thermo Fisher Scientific, Kandel, Germany).
Ultrapure water obtained from Millipore Milli-Q system was used for
all experiments, unless otherwise mentioned.
Preparation of Unheated
Protein Suspensions and Processed Samples
Soy ingredients
(SPC and SPI) were used to prepare the unheated
6 wt % protein suspensions (based on protein content in dry basis)
in 100 mM Tris/5 mM EDTA buffer pH 7.5. Four independent suspensions
were prepared and allowed to rotate at 40 rpm, at 4 °C overnight.
The suspensions were analyzed on the following day.Processed
protein-based matrices were prepared using a high-temperature shear
cell (HTSC). Samples based on SPC were made with 45 wt % SPC, 1 wt
% NaCl, and 54 wt % demineralized water as described by Grabowska
et al.[2] Samples with SPI were prepared
with 44 wt % SPI or 41.8 wt % SPI with 2.2 wt % pectin, 1 wt % NaCl,
and 55 wt % demineralized water.[3] Samples
were sheared in the HTSC using different temperatures (100, 120, and
140 °C) at 30 rpm for 15 min and cooled down to 25 °C in
5 min. After preparation, samples were stored at −18 °C
prior to further analysis. Processed samples were prepared in duplicate
per condition.
Determination of Protein-Bound Carbonyl Content
The
separation of protein fractions from processed protein-based matrices
to measure the protein-bound carbonyl content and the 2,4-dinitrophenylhydrazine
(DNPH) method were done according to Soglia et al.,[19] with minor modifications as described previously.[18]Processed protein-based matrices were
cut into cylinders of 8 × 8 mm size, with sampling at various
locations in the matrix, then 9 g of sample was homogenized with 100
mM Tris/5 mM EDTA buffer pH 7.5 (1:3 w/v) using a rotor-stator homogenizer
(IKA T18 UltraTurrax, Thermo Fisher Scientific, Staufen, Germany)
at 13 600 rpm for 1 min in an ice bath. Then, the samples were
centrifuged at 18 000g at 2 °C for 20
min. The supernatant was collected as the soluble fraction. Since
previous research[18] showed low protein
solubility in Tris/EDTA/NaCl buffer, we suspended the remaining pellet
in 0.15 M KCl solution (1:3, w/v) and homogenized the mixture using
the same rotor-stator homogenizer at 13 600 rpm for 30 s in
an ice bath. This final suspension was called the pellet fraction.
Afterward, both fractions were filtered with a 0.2 μm syringe
filter, and the soluble protein concentration was determined by the
BCA method.[18] The same procedure was done
for the unheated protein suspensions.Aliquots from the protein
fractions (1–6 mg of soluble protein)
were taken to measure the carbonyl content by the DNPH method. After
hydrazone derivatization, samples were incubated at 37 °C overnight
in 6 M guanidine hydrochloride prepared in 20 mM sodium phosphate
buffer pH 6.5. Then, the absorbance was measured at 370 nm using a
UV–visible spectrophotometer (DR-3900, HACH Lange, Germany)
using 6 M guanidine hydrochloride as a blank. A control was prepared
for all samples following the same procedure, except no DNPH was added.
The soluble protein concentration in 6 M guanidine hydrochloride was
determined by the BCA method. The carbonyl content was calculated
with the following equation:where ABSsample is the absorbance
of the sample; ABScontrol is the absorbance of the control;
and ε is the molar extinction coefficient of carbonyl, set as
22 000 M–1 cm–1. The carbonyl
content was measured in independent samples, each one measured in
triplicate (per sample and per blank).It should be noted that
all measurements were done on the soluble
protein fraction, which is about 0.8 to 6% of the total protein in
the processed protein-based matrices. The measurement on the soluble
protein fraction is a fair representation of the levels of protein-bound
carbonyls, and it has been commonly used to determine protein oxidation
in a broad range of protein-based samples.[18−29]
Molecular Weight Distribution Profile: Electrophoresis
The
protein fractions were characterized by their molecular weight
profile by 12% sodium dodecyl sulfate–polyacrylamide gel electrophoresis
(SDS-PAGE) under reducing conditions. The reducing sample buffer was
prepared with 950 μL of native buffer and 50 μL of 2-mercaptoethanol.
Only the soluble fraction was diluted to a final concentration of
3 mg/mL. Then samples were mixed with the reducing buffer in a ratio
1:1, heated at 95 °C for 5 min in an Eppendorf thermomixer, and
cooled at room temperature for 30 min. Afterward the samples were
centrifuged using 10 000g for 5 min. Then,
15 μL of samples and molecular weight standards were placed
in the gels, and 10× Tris/Glycine/SDS running buffer was used.
The electrophoresis was carried out at 200 V for approximately 30
min. Subsequently, the gel was washed three times with ultrapure water
and then stained with Biosafe Coomassie Stain overnight. The next
day the gel was washed with ultrapure water for 30 min before gel
images were taken using a GS-900 Calibrated Densitometry System (Bio-Rad
Laboratories, Inc., U.S.A.). The gel images were analyzed using the
Image Lab (version 2.0.1, Bio-Rad Laboratories, Munchen, Germany).
Two independent samples were analyzed per SDS-PAGE, done in duplicate.
Protein Surface-Exposed Hydrophobicity
The surface-exposed
hydrophobicity was determined in ground processed protein-based matrices
according to Berton-Carabin et al.[27] The
samples were ground with four cycles of 10 s each using a kitchen
mixer (Multiquick 5, Braun, Kronberg, Germany).[30] The average size of ground samples was determined with
measuring the smallest (0.64 ± 0.25 mm) and largest (1.46 ±
0.37 mm) dimension of the particles from pictures obtained with an
automated digital 3D microscope Smartzoon 5 (Carl Zeiss, Breda, The
Netherlands). Then ground samples were homogenized in 10 mM sodium
phosphate buffer pH 7.0 at 13 600 rpm for 1 min in ice bath
using an Ultra Turrax. As a next step, the samples were centrifuged
at 18 000g and 2 °C for 20 min, and the
soluble fractions were collected. Suspensions of unheated soy protein-ingredients
were prepared with 6 wt% net protein (dry basis) in the 10 mM sodium
phosphate buffer, as described in the section Preparation of unheated
protein suspensions and processed samples. The soluble protein concentration
was measured with BCA method and samples were diluted to obtain a
final concentration of 1 mg/mL soluble protein. The anionic fluorescence
ANSA probe (2.4 mM) was prepared in 10 mM sodium phosphate buffer
at pH 7.0 and stirred overnight at 4 °C. The fluorescence emission
spectra were measured between 400 and 650 nm with steps of 0.5 nm
using a RF-6000 spectrofluorometer (Shimadzu Corporation, Kyoto, Japan).
The excitation wavelength was set at 385 nm, and the emission was
measured at 480 nm, with a scan rate of 60 nm/min and spectral bandwidth
of 5.0 nm. For this measurement, quartz cuvettes with dimensions of
10 × 10 mm were used (Hellma Analytics, Müllheim, Germany).
Then 1 mL of sample was mixed with 10 μL of ANSA for 1 min,
and the spectra were recorded until the signal reached ANSA saturation.
The two blanks were pure buffer with added ANSA with the same concentration
as reached in the sample and a sample without ANSA. The results were
expressed as the maximum fluorescence intensity at 480 nm, which represents
the number of exposed hydrophobic sites of the protein. The experiment
was done with two independent samples.
Acid Titration
A titration with HCl was done using
an automatic titrator (877 Titrino plus, Metrohm, Herisau, Switzerland)
to estimate the acid uptake by protein ingredients and processed protein-based
matrices according to Luo et al.,[999] with
a few modifications. The titration was performed by adding ground
processed protein-based matrices containing 1 g of net protein (dry
basis) to 25 mL of ultrapure water with NaCl (0.8775 w/v%) in a jacketed
vessel connected to a thermostat bath set at 37°C and stirred
at 100 rpm. Before titration, the samples were soaked in the solution
for 30 min. The titration was done stepwise from their original pH,
which was around 7, to pH 2 by adding 0.05 mL of 0.5 M HCl, in a minimum
interval of 1 s and a maximum waiting time of 25 s. The experiment
was performed in two independent samples, measured twice for each
sample.
Preparation of Samples for In Vitro Gastric Digestion
The suspensions of unheated protein ingredients (SPC, SPI, or SPI
with pectin (1:19)) were prepared with 5 w/v% protein in ultrapure
water according to Luo et al.[17] After stirring
at room temperature for 30 min, the samples were used for in vitro
gastric digestion experiments. Samples were prepared in duplicate.
The processed protein-based matrices were cut into cylinders of 3
× 3 mm size[31] or ground as previously
described in the section Protein surface exposed-hydrophobicity..
In Vitro Gastric Digestion Setup
A static soaking in
vitro setup was used to simulate the gastric digestion process. Simulated
gastric fluid (SGF) was prepared with pepsin (1 g/L) and NaCl (8.775
g/L) in ultrapure water according to Luo et al.[17] with few modifications. The pH of the SGF was adjusted
to 2 with 2 M HCl. Then processed protein-based matrices or the suspensions
of unheated protein ingredients containing 0.1 g of protein (dry basis)
were added to 50 mL of the SGF preheated at 37 °C in a jacketed
vessel while stirring at 100 rpm. The vessels were sealed with parafilm
to avoid evaporation. One milliliter of sample was taken after 5,
20, 30, 60, 120, and 180 min for further analysis. To inactivate the
pepsin activity, the samples were heated at 90 °C[32] and mixed at 1400 rpm for 5 min in a preheated
Eppendorf thermomixer (Eppendorf AG, Germany). After the inactivation
step, the samples were cooled down. The hydrolysis experiments were
carried out with two independent samples, and each sample was tested
in duplicate, resulting in a total of four digestion experiments per
processing condition tested.
Determination of the Degree of Hydrolysis
The degree
of hydrolysis (DH) was measured by the ο-phthalaldehyde
(OPA) method according to Luo et al.[17] The
OPA reagent was prepared by first dissolving 3.81 w/v% Borax and 0.1
w/v% SDS in ultrapure water, and subsequently, 0.08 w/v% OPA predissolved
in 2 mL of ethanol was added to the Borax-SDS solution. Lastly, 0.088
w/v% DTT was added, and the solution was filled up to 150 mL with
ultrapure water. The solution was filtered through a 0.45 μm
syringe filter and protected from light exposure.A calibration
curve with L-serine was prepared in a concentration range
of 50–400 mg/L. Digestion samples were first centrifuged at
14 000g for 1 min. Then 200 μL of sample,
blank, or calibration sample was mixed with 1.5 mL of OPA reagent
for 3 min, and the absorbance was measured at 340 nm with a UV–vis
spectrophotometer (DU720, Beckman Coulter, Inc., Indianapolis, IN,
U.S.A.). Each sample was measured in triplicate. Free amino groups
values from digestion samples were corrected by subtracting the contribution
of free amino groups from the SGF before digestion without sample
addition.The DH was determined as the percentage of peptide
bonds cleavage
regarding a total number of peptide bonds, following the equations:where h is the number of
peptide bonds cleavage in 1 kg protein; htot is the total number of peptide bonds in 1 kg protein set as 7.8
meq/g for soy proteins; serine-NH2 represents free amino
groups as serine amino equivalents obtained from the calibration curve;
and α is 0.970, and β is 0.342 for soy proteins.[33]
Size-Exclusion Chromatography
The
peptide size distribution
profile was measured with high-performance size-exclusion chromatography
(HPSEC) using TSKgel G3000SWxl column (7.8 mm × 300 mm) and TSKgel
G2000SWxl (7.8 mm × 300 mm) (Tosoh Bioscience LLC, King of Prussia,
PA, U.S.A.) in an Ultimate 3000 UHPLC system (ThermoFisher Scientific
Inc., U.S.A.). Digested samples were first filtered using a 0.2 μm
Spartan 13/0.2 R 6 Whatman filter (VWR), and then 10 μL of sample
was injected for each measurement. The mobile phase was made with
30% acetonitrile, 0.1% trifluoroacetic acid, and 70% ultrapure water.
Signals were measured with a UV detector set at 214 nm, at 30 °C
and with a flow rate of 1.5 mL/min. The calibration was performed
with standard solutions of α-lactalbumin, aprotinin, insulin,
bacitracin, phenylalanine, g-globulin, and ovalbumin. Then the calibration
curve was made by plotting the retention time of each standard solution
as a function of the protein’s molecular weight. Data analysis
was performed in Dionex Chromeleon 7.2 Chromatography Data System
software (ThermoFisher Scientific Inc., U.S.A.). A chromatogram from
the system resulted in peaks showing the amount of molecules with
the sizes >50 kDa, 50–10 kDa, 10–4 kDa, 4–2
kDa,
and <2 kDa. The experiments were done in duplicate per digestion
sample, resulting in four experiments per sample.
Statistical
Analysis
Statistical analysis was done
using the Statistical Package for the Social Sciences (SPSS software
v. 23, IBM Inc.). The Mann–Whitney test was used to compare
the results pertaining to the degree of hydrolysis. One way-ANOVA
with post hoc analysis using Tukey’s multiple comparison test
was used to compare the means pertaining to carbonylation level, soluble
protein concentration, maximum fluorescence intensity, and peptide
size distribution profile regarding processing conditions and ingredients.
An independent t test was performed to compare the
maximum fluorescence intensity of samples processed with the same
conditions, but starting from different ingredients. The significance
level was set at p < 0.05.
Results and Discussion
Physicochemical
Characterization
Protein-Bound Carbonyl Content
The
effect of process
conditions on protein oxidation was quantified through measuring the
protein-bound carbonyl content. The soluble protein fraction of all
unheated protein ingredients had a carbonyl content between 12.9 and
20.2 mmol carbonyl/kg soluble protein (Figure A), which did not increase further with processing
at 100 and 120 °C, independently of the matrix. However, processing
at 140 °C increased the carbonyl content in SPC- and SPI/pectin-based
matrices significantly (p < 0.05) when compared
to samples that were unheated or processed at lower temperatures (Figure A). Figure B shows the carbonyl content
of the pellet fractions. The carbonyl content of the unheated protein
ingredients was above 30 mmol carbonyl/kg soluble protein, which was
higher than in the soluble fraction. However, there was no significant
increase in carbonyl content in this fraction with processing, whatever
the applied temperature. In addition, the carbonyl content in the
pellet fractions was similar for all tested ingredients (SPC, SPI,
and SPI/pectin).
Figure 1
Carbonyl content (mmol per kg soluble protein) (A, B)
and soluble
protein concentration (g/L) in Tris/EDTA (C) or KCl (D) buffers of
unheated protein ingredients suspensions and processed protein-based
matrices (100, 120, and 140 °C): soluble fraction (A and C) and
pellet fraction (B and D). Different letters indicate a significant
difference between unheated protein ingredients and processed protein-based
matrices made with the same ingredient. Significance level at p < 0.05. NS: no significant difference.
Carbonyl content (mmol per kg soluble protein) (A, B)
and soluble
protein concentration (g/L) in Tris/EDTA (C) or KCl (D) buffers of
unheated protein ingredients suspensions and processed protein-based
matrices (100, 120, and 140 °C): soluble fraction (A and C) and
pellet fraction (B and D). Different letters indicate a significant
difference between unheated protein ingredients and processed protein-based
matrices made with the same ingredient. Significance level at p < 0.05. NS: no significant difference.Heat- and shear-based process significantly decreased the
soluble
protein concentration in the processed SPC-based matrices compared
with the starting ingredient, especially in the soluble fraction (Figure C). Processing SPI
and SPI/pectin at 140 °C caused a small increase in the soluble
concentration compared with lower temperatures, but it was not significant
compared to unheated protein ingredients. For all samples, the soluble
protein concentration in the pellet fraction was lower than that in
the soluble fraction. Processing SPI at higher temperatures caused
an increase in the soluble concentration in the pellet fraction compared
with unheated protein ingredients. Overall, we see that a heat- and
shear-based process can promote soy protein oxidation, which is in
line with previous research.[18]Although
the effect of handling, processing, and storage on protein
oxidation is largely unexplored for plant-protein-based ingredients
and foods, such data are readily available for muscle protein-based
foods. For example, in processed meat, Soladoye et al.[34] reported carbonyl content of 80 mmol carbonyl/kg
soluble protein in raw bacon, which further increased with cooking.
These results suggested that the quality of the raw material, the
use of additional ingredients in formulated products, and the processing
conditions largely determine protein oxidation and can lead to high
levels of oxidation. Regarding the ingredients of processed food,
the presence of reducing sugars and their oxidation products, such
as α-dicarbonyl compounds, can induce oxidative deamination
of basic amino acids resulting in protein carbonylation via a Maillard-mediated
mechanism.[35] For instance, Luna and Estévez[4] found that the SPI glycation reaction formed
more carbonyls than the metal-catalyzed hydroxyl-radical generating
system, while a combination of both oxidation systems further increased
carbonylation. Nevertheless, such reactions are probably highly dependent
on the ingredient’s composition, notably regarding reducing
sugars, which may largely vary between different ingredients and supplier.Furthermore, we found that the proteins in the starting ingredients
used (i.e., unheated SPC or SPI) were already oxidized to a certain
extent. We made similar observations in a previous study using commercial
soy ingredients.[18] Likewise, Chen et al.[36] reported a carbonyl content of 15.1 mmol carbonyl/kg
soluble proteins in commercial SPI, which increased to 22.4 mmol carbonyl/kg
soluble proteins upon dry heating at 100 °C for 8 h. The fractionation
process and/or storage conditions applied to protein ingredients could
have caused protein oxidation. In industrial processes, spray drying
is often used as the final drying step to obtain the SPC and SPI,
and preheating treatments may be applied prior to drying, which can
promote protein oxidation.[18] Conversely,
the carbonyl content of lab-made SPI is often lower, with a typical
value range of 1.5 to 6.5 mmol carbonyl/kg soluble proteins reported
in different studies.[37−222] This may be because those SPI samples were prepared with freeze-drying
as the final drying step. Preheating SPI suspensions from 5 to 30
min at 90 °C followed by spray drying resulted in increased protein
carbonyls and decreased protein solubility during 8 weeks of storage.[333] The fractionation process prior to drying also
seems of importance. For example, Wu et al.[41] prepared a low-oxidized SPI (1.7 mmol carbonyl/kg soluble proteins)
by using soybeans with low moisture content and isolating proteins
by fractionation process under low oxygen conditions. This suggests
that a large variability in that respect may exist from one plant
protein material to another and that considering the oxidative status
of protein ingredients is relevant to control oxidation during processes.Moreover, information regarding the consequences of dietary oxidized
proteins on human health is still limited. The effect of postprandial
protein oxidation causing cellular and tissue damage has been related
to the progression of diseases such as inflammatory bowel disease,
diabetes, and fibrosis.[10] Studies with
in vitro and animal models have shown that dietary oxidized proteins
may promote some organ dysfunctions.[11] For
instance, animal studies showed that the intake of oxidized tyrosine
(2 to 8 g/kg diet for 24 weeks) resulted in oxidative stress and dysfunction
of kidney and pancreas cells, combined with inflammation.[42,43] However, the doses used in these studies are much higher than values
typically reported in food proteins, and thus more studies are needed
to elucidate dose-related effects to establish whether usual oxidation
levels occurring in foods could give rise to similar consequences.
Molecular Weight Distribution Profile: SDS-PAGE
The
molecular weight distribution of proteins in the soluble fractions
(Figure A–C)
and pellet fractions (Figure. D–F) was determined with SDS-PAGE under reducing conditions.
For all samples, we see differences in the protein molecular weight
distribution between the unheated ingredients and the processed matrices,
for both fractions (Figure ). In the soluble fraction of unheated SPC (Figure A), β-conglycinin and
glycinin subunits, the major constituents of soy proteins, are present,
but the intensity of the bands corresponding to the α and α′
subunits of β-conglycinin decreased after processing at 140
°C. The soluble fraction of unheated SPI and SPI/pectin ingredients
had a similar molecular weight distribution. The same was observed
when comparing SPI and SPI/pectin-based matrices processed at temperatures
below 140 °C (Figure B,C). These findings were expected since both matrices were
prepared with the same source of protein ingredient. However, the
bands around 75 kDa in SPI/pectin-based matrices processed at 140
°C were not visible anymore.
Figure 2
SDS-PAGE under reducing conditions of
the soluble fraction and
pellet fraction of unheated protein ingredients and processed protein-based
matrices at different temperatures. A and D: SPC samples; B and E:
SPI samples; C and F: SPI/pectin samples; U: unheated ingredients;
M: molecular weight standard; α′/α/β: peptides
of β-conglycinin.
SDS-PAGE under reducing conditions of
the soluble fraction and
pellet fraction of unheated protein ingredients and processed protein-based
matrices at different temperatures. A and D: SPC samples; B and E:
SPI samples; C and F: SPI/pectin samples; U: unheated ingredients;
M: molecular weight standard; α′/α/β: peptides
of β-conglycinin.The molecular weight
distribution profiles of the pellet fractions
of unheated samples were different from those of the soluble fractions
(Figure D–F),
for a given sample. In the pellet fractions, bands around 75 kDa were
not visible, and an accumulation of low molecular weight components
appeared. For unheated SPI and SPI/pectin samples (Figure E,F), the band around 50 kDa
was still visible as seen in the soluble fraction (Figure B,C). The pellet fraction of
all processed samples at 140 °C did not show bands around 75
kDa, which represents the molecular weight of α- and α′
subunits of β-conglycinin. Overall, we observed a systematic
difference between unheated and processed samples with a decrease
in the intesity of some particular bands after processing, regardlles
of the protein fraction. In addition, bands at molecular weights above
37 kDa for the pellet fractions appeared as faded, or were not even
visible sometimes, compared with the soluble fraction.
Protein Surface-Exposed
Hydrophobicity
Figure shows the maximum fluorescence
intensity (Fmax) of unheated protein ingredients
and processed protein-based matrices made with different ingredients,
which represents the number of surface-exposed hydrophobic sites in
the protein. In the case of unheated protein ingredients, we found
that SPC had more exposed hydrophobic sites than SPI and SPI/pectin.
All processed protein-based matrices showed a strong and significant
decrease in the number of surface-exposed hydrophobic sites compared
with unheated protein ingredients (p < 0.05).
SPC-based matrices processed at 100 °C had a 90% decrease on Fmax compared with the unheated SPC ingredient.
For all three starting ingredients, the temperatures applied had only
a minor additional effect on protein hydrophobicity. The protein surface
hydrophobicity in the processed SPI/pectin-based matrices decreased
further upon processing at a higher temperature. It seems therefore
that the presence of pectin decreases protein hydrophobicity. A possible
explanation could be that pectin would interact with proteins via
hydrophobic interactions involving the methoxyl groups of pectin.[44] It is, however, difficult to generalize this
effect, as opposite trends were also reported in the literature.[45] Presumably, the type of pectin (and notably
its degree of methoxylation), the type of protein, and the probe used
to assess surface-exposed hydrophobicity are of importance in that
respect. Previous studies showed that protein oxidation is also a
relevant parameter that affects surface hydrophobicity. We observed
a substantial formation of protein-bound carbonyls in processed SPC-
and SPI/pectin-based matrices made at 140 °C (Figure A), which could reduce the
number of exposed hydrophobic sites. Likewise, studies have shown
that at low levels of carbonyl content, the surface hydrophobicity
was higher compared with high levels of carbonyl content.[27,37,46−48]
Figure 3
Maximum fluorescence
intensity (Fmax) based on ANSA probe of
unheated protein ingredients and processed
protein-based matrices made with different ingredients and process
conditions. Excitation wavelength set at 385 nm and emission at 480
nm. Results are expressed as mean and error bars as standard deviation.
Different letters indicate a significant difference among unheated
protein ingredients and processed protein-based matrices, made with
the same ingredient. Significance level at p <
0.05.
Maximum fluorescence
intensity (Fmax) based on ANSA probe of
unheated protein ingredients and processed
protein-based matrices made with different ingredients and process
conditions. Excitation wavelength set at 385 nm and emission at 480
nm. Results are expressed as mean and error bars as standard deviation.
Different letters indicate a significant difference among unheated
protein ingredients and processed protein-based matrices, made with
the same ingredient. Significance level at p <
0.05.In this study, heat- and shear-based
process decreased surface-exposed
hydrophobicity in protein-based matrices compared with protein ingredients,
which is a result of protein rearrangements induced by processing
and protein oxidation. The reduced hydrophobicity of the proteins
can decrease the proteolytic susceptibility of the proteins.[9,49]
Acid Uptake
We investigated the volume of acid (HCl)
uptake by unheated protein ingredients and ground processed protein-based
matrices made with different ingredients that are necessary to reach
pH 2 (Figure ). The
volume of HCl solution needed to reach pH 2.0 was higher for SPC-based
suspensions than for SPI- and SPI/pectin-based ones. The patterns
for unheated protein ingredients and processed protein matrices were
similar for SPI and SPI/pectin, implying that the presence of pectin
did not affect acid uptake and hence the protein buffering capacity.
Processing can modulate acid uptake, but the temperature treatment
did not have a large effect. A higher acid uptake is a measure for
a strong buffer capacity, which can affect the gastric digestion rate
since the activity of pepsin is highly pH-dependent.[50] Therefore, differences in gastric digestion are expected
because of different ingredients and heating. However, the exact process
conditions are likely to have a limited effect in that respect.
Figure 4
pH as a function
of the volume of titrant 0.5 M HCl of suspensions
of unheated protein ingredients or of ground processed protein-based
matrices made with (A) SPI, (B) SPC, and (C) SPI/pectin at different
temperatures. The protein content (dry basis) in all samples is similar.
pH as a function
of the volume of titrant 0.5 M HCl of suspensions
of unheated protein ingredients or of ground processed protein-based
matrices made with (A) SPI, (B) SPC, and (C) SPI/pectin at different
temperatures. The protein content (dry basis) in all samples is similar.
In Vitro Gastric
Digestion
Degree of Hydrolysis
First, we investigated the effect
of process conditions, the effect of grinding the processed protein-based
matrices, and the effect of the starting protein ingredient on the
degree of hydrolysis using in vitro gastric conditions. Second, we
aimed to correlate the obtained results with protein oxidation.Figure shows that
all unheated protein ingredients had a rapid increase in DH within
the first 5 min of simulated gastric digestion. Then proteolysis slowed
down, before reaching a plateau. This fast increase within the first
minutes of digestion is in line with previous studies with protein
suspensions.[17,51,52] Processed protein-based matrices (cylinder-shaped) showed a slower
increase in DH and lower final value than unheated protein ingredients
after 180 min. After 5 min of gastric digestion, samples were hardly
digested, indicating a long sample disintegration time. The combination
of pepsin diffusion, hydrolysis rate, microstructure, and mechanical
strength was previously used to explain differences in disintegration
and subsequent digestion of whey protein isolate gels.[16] The pepsin diffusion was limited to a depth
of 2 mm within the gels, explaining why hydrolysis only occurred in
the thin layer at the surface of the gels. Thus, the digestion rate
was constrained by the surface area of the gel and the surface erosion.
Figure 5
Degree
of hydrolysis (%) of unheated protein ingredients and processed
protein-based matrices made with SPC (A), SPI (B), and SPI/pectin
(C) prepared at different temperatures. The processed matrices cut
as small cylinders are represented by red lines, and the processed
ground samples are represented as blue lines. Error bars represent
the standard deviation (two independent samples, each digested in
duplicate).
Degree
of hydrolysis (%) of unheated protein ingredients and processed
protein-based matrices made with SPC (A), SPI (B), and SPI/pectin
(C) prepared at different temperatures. The processed matrices cut
as small cylinders are represented by red lines, and the processed
ground samples are represented as blue lines. Error bars represent
the standard deviation (two independent samples, each digested in
duplicate).After cutting the processed protein-based
matrices into cylindrical
shapes, the SPI-based one (Figure B) had slower disintegration than SPC- and SPI/pectin-based
ones, which could be associated with a higher samplehardness. Previous
research revealed that SPI-based matrices processed at 140 °C
had higher tensile stress compared to SPC- and SPI/pectin-based ones.[2,3,53] The lower tensile stress in processed
SPI/pectin-based matrices is associated with the presence of pectin,
which forms a weaker and elongated separated phase and induces air
pockets within the matrix, resulting in fiber formation at 140 °C.[2,3,53] The results apply with the general
observation that soft protein gels can be subjected to faster disintegration
in digestive conditions compared with hard gels.[52]Besides the sample texture, the sample size could
influence the
rate of hydrolysis. To test this hypothesis, we ground the processed
protein-based matrices. Unfortunately, the broad particle size distribution
obtained and the roughness of the samples prevented calculation of
the exact surface area. Ground processed protein-based matrices had
significantly (p < 0.05) higher DH than cylinder-shaped
ones but a slower rate of hydrolysis than unheated protein ingredients.
Most likely, the reduced sample size facilitated disintegration and
the diffusion of pepsin and HCl into the samples, increasing the DH.
Interestingly, ground SPI/pectin-based matrices had equal or even
higher DH than unheated protein ingredients after 180 min of digestion.
The exact reason for this effect is not clear yet.Although
the applied processing temperature seemed to influence
the DH of the processed protein matrices, no generic trend across
the different materials could be observed. After grinding the products,
the differences due to processing became small. Regarding the effect
of the starting protein ingredient, ground SPC-based matrices had
faster increase in the DH compared with SPI and SPI/pectin-based matrices.
Since the buffering capacity of SPC was the largest among the tested
ingredients, this could have led to a lower digestibility. However,
this was clearly not the case. Nevertheless, increased surface-exposed
hydrophobicity in SPC might have increased the exposure of hydrophobic
sites in which pepsin has more affinity. The excess of gastric juice
is most probably able to compensate for the effect and to keep the
conditions favorable for pepsin to be active. The fractionation process
applied to obtain concentrated and isolated proteins could be another
factor that can affect the status of the proteins and as a consequence
the digestion rate. Opazo-Navarrete et al.[54] reported a lower degree of protein hydrolysis in isolated quinoa
protein obtained by wet fractionation than in the protein-enriched
quinoa fraction obtained by dry fractionation. They suggested that
the changes in pH and the thermal treatment during the drying step
involved in the wet fractionation process affect the protein conformation
and supramolecular structures, which would impact protein digestibility.When carbonyl levels of all samples were related to DH, we concluded
that oxidation had no obvious relationship with the DH (see Figure
1 in Supporting Information). Likewise,
Chen et al.[55] found no significant difference
in the DH after a 1 h pepsin digestion of SPI samples treated with
increasing concentration of pro-oxidants. We also did not observe
a relationship between the DH and surface-exposed hydrophobicity or
carbonyl content and hydrophobicity (see Figures 2 and 3 in Supporting Information). Santé-Lhoutellier
et al.[22] did not find a correlation between
carbonyl content and pepsin activity in myofibrillar proteins from
pork, which was attributed to the level of protein oxidation and the
oxidative susceptibility of amino acids that pepsin has a preference
for cleaving (e.g., aromatic amino acids). Therefore, the physicochemical
modifications induced by the shear- and heat-based process of soy
protein ingredients contributed to slowing down the degree of hydrolysis
but did not impair the DH after 120 min of digestion.
Peptide Size
Distribution (HPSEC)
The peptide size
distribution of unheated SPC and SPI ingredients showed more peptides
larger than 10 kDa compared with the SPI/pectin ingredient (p < 0.05) (Figure A). Additionally, the SPI/pectin ingredient had more peptides
smaller than 2 kDa (p < 0.05). Overall, the peptide
size distribution of the unheated protein ingredients seemed already
quite stable after 20 min of incubation in simulated gastric conditions,
which is in agreement with the fast digestion observed in Figure . This is different
for the processed protein-based matrices, either in a cylinder-shape
or ground. Figure B shows that more small peptides were present in digested ground
samples over time compared with the digested cylinder-shaped samples
(p < 0.05). These results are in line with the
lower digestion rate found for the cylinder-shaped samples in Figure . However, after
180 min of digestion, there was no difference for peptides smaller
than 4 kDa between digested cylinder-shaped and ground samples made
of processed SPC-based matrices at 140 °C (p > 0.05).
Figure 6
Peak area (mAU*min) of peptides distribution after 20,
60, and
180 min of gastric digestion of unheated SPC, SPI, SPI/pectin ingredients
(A) and protein-based matrices processed at different temperatures
(cylinder-shape and ground matrices) (B). SGF: simulated gastric fluid.
Results are shown as mean values (two independent samples, measured
in duplicate). The mean values, standard deviations, and statistics
results are shown in Tables 1 and 2 in the Supporting Information.
Peak area (mAU*min) of peptides distribution after 20,
60, and
180 min of gastric digestion of unheated SPC, SPI, SPI/pectin ingredients
(A) and protein-based matrices processed at different temperatures
(cylinder-shape and ground matrices) (B). SGF: simulated gastric fluid.
Results are shown as mean values (two independent samples, measured
in duplicate). The mean values, standard deviations, and statistics
results are shown in Tables 1 and 2 in the Supporting Information.When comparing the different
starting ingredients, SPC-based matrices
processed at different temperatures showed a similar peptide distribution,
though the amounts formed were distinct (Figure B). This suggests that the same reaction
products are formed, regardless of the reaction rate of pepsin. The
higher digestion rate of cylinder-shaped of those samples processed
at 140 °C as shown in Figure A is nicely confirmed by the higher amount of peptides
present in the gastric juice after 180 min of digestion. Interestingly,
the digestion of ground SPI/pectin-based matrices resulted in more
peptides between 2 and 4 kDa than SPC and SPI-based matrices (p < 0.05) when processed at 120 and 140 °C. Conversely,
SPC-based matrices (cylinder-shape and ground) processed at 120 and
140 °C had more peptides lower than 2 kDa than both SPI and SPI/pectin
(p < 0.05). Even though after 180 min of gastric
digestion SPC and SPI/pectin-based matrices reach a similar DH (Figure A,C), the distribution
of their peptides was different, confirming the relatively faster
rate of hydrolysis of SPC-based matrices. This can be related to the
reduced hydrophobicity of SPI/pectin-based matrices at 120 and 140
°C or to the presence of pectin hindering pepsin activity. The
effect of polysaccharides on protein digestion was previously investigated
for protein solutions;[56,57] for instance, the presence of
1% w/w pectin in whey protein isolate solutions (pH 7.0) heated at
85 °C for 30 min has been shown to form aggregates due to extensive
intragastric gelation, which were not digested after 2 h under in
vitro conditions.[57] Most of the pectin
and more than half of the protein remained in the gels. Therefore,
the presence of pectin decreased the digestion rate of whey protein.The commercial soy protein ingredients used in this work contained
a substantial amount of preformed protein-bound carbonyls, revealing
a certain initial degree of protein oxidation. Application of a thermomechanical
process to make structured matrices resulted in additional protein
oxidation in SPC- and SPI/pectin-based matrices at 140 °C. The
process also led to reduced protein surface-exposed hydrophobicity.
Structuring the starting ingredients via this process slowed down
proteolysis, even though the actual rate showed no correlation with
the level of carbonyls or the applied temperature during processing.
The peptide distribution during simulated gastric digestion was not
affected by the process conditions, but the presence of pectin resulted
in the formation of larger peptides. Therefore, we foresee that developing
fractionation and storage methods to yield plant protein ingredients
with a low level of protein oxidation is becoming an essential matter
in the current transition to more plant protein-based food products.
Authors: Malene W Poulsen; Rikke V Hedegaard; Jeanette M Andersen; Barbora de Courten; Susanne Bügel; John Nielsen; Leif H Skibsted; Lars O Dragsted Journal: Food Chem Toxicol Date: 2013-07-16 Impact factor: 6.023