Retrogradation inhibition of wheat starch with wheat oligopeptides

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Food Chemistry 427 (2023) 136723
Available online 25 June 2023
0308-8146/© 2023 Elsevier Ltd. All rights reserved.
Retrogradation inhibition of wheat starch with wheat oligopeptides
Liuyu Wan
a
,
b
, Xuedong Wang
a
,
b
, Hongyan Liu
a
,
b
, Shensheng Xiao
a
,
b
, Wenping Ding
a
,
b
,
Xiuyun Pan
c
, Yang Fu
a
,
b
,
*
a
Key Laboratory for Deep Processing of Major Grain and Oil, Wuhan Polytechnic University, Ministry of Education, Wuhan 430023, China
b
Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan 430023, China
c
Yiyantang (Yingcheng) Healthy Salt Manufacturing Co. LTD, Yingcheng 432400, China
ARTICLE INFO
Keywords:
Wheat oligopeptides
Wheat starch
Retrogradation
ABSTRACT
Starch staling greatly reduces the cereal products quality, and the staling retardation becomes a focus in current
research. The effect of wheat oligopeptide (WOP) on anti-staling properties of wheat starch (WS) was studied.
Rheology property indicated that WOP reduced WS viscosity, showing more liquid-like behavior. WOP improved
the water holding capacity, inhibited swelling power, and reduced the hardness of WS gels, which decreased
from 1200 gf to 800 gf compared with the control after 30 days storage. Meanwhile, the water migration of WS
gels were also reduced with WOP incorporation. The relative crystallinity of WS gel with 1% WOP was reduced
by 13.3%, and the pore size and the microstructure of gels was improved with WOP. Besides, the short-range
order degree reached the lowest value with 1% WOP. In conclusion, this study explained the interaction be-
tween WOP and WS, which was benecial to the application of WOP in WS-based food.
1. Introduction
Wheat, a worldwide grown cereal crop, is widely used as a staple
food and industrial raw material. Starch extracted from endosperm is the
main component in wheat our, accounting for generally 75% of the dry
weight (Kong, Zhu, Zhang, & Zhu, 2020). Therefore, the properties of
wheat starch (WS) play a key role in the quality of WS-based products.
The staling of starch is a complex physicochemical process, in which the
starch molecules change from disorder to ordered crystal shape during
storage. The starch particles are automatically arranged in an orderly
manner, and the adjacent intermolecular hydrogen bonds gradually
form a compact microcrystalline starch molecular bundle with high
crystallinity (Zhou et al., 2022). In addition, the retrogradation could be
divided into short-term and long-term retrogradation, and amylose and
amylopectin starch play a different role in the process of staling (Hu
et al., 2020). Short-term retrogradation is associated with the quickly
rearrangement of amylose at the beginning of storage. Long-term
retrogradation is related to the recrystalization of amylopectin within
weeks or even months (Niu, Zhang, Xia, Liu, & Kong, 2018). During the
staling process, the ability of starch to bind with water is weakened,
seriously affecting the quality of food materials, such as the deteriora-
tion of WS-based food.
So far, there are a lot of researches considering the effect of
polysaccharides and protein on the WS retrogradation during storage.
Recent study showed that cordyceps polysaccharides could reduce the
WS viscosity and prevent retrogradation (Kong et al., 2020). Whey
protein concentrate could weaken the starch network structure and
positively inhibit retrogradation process of WS gel (Zhang, Lin, Lei, &
Zhong, 2020). These results indicate that polysaccharides or proteins
may combine with starch through hydrogen bonds of their hydroxyl
groups, thus affecting starch retrogradation.
In recent years, soybean peptides, corn peptides, and other natural
active peptides have been the focus of research domestic and overseas
for their biological solid activity and biosafety (Wu et al., 2021). Wheat
oligopeptide (WOP) is extracted from wheat protein powder by targeted
enzyme digestion and specic wheat separation technology (Kumar
et al., 2019). It has the characteristics of low cost, easy absorption, and
good processing performance, which is regarded as a new resource food
with high research signicance and development potential. Recent
research proved that wheat oligopeptides can reduce blood pressure and
cholesterol, and have many biological activities such as immune regu-
lation and anti-oxidation (Yang et al., 2022).
However, there are few systematic and comprehensive studies on the
starch modication by WOP, and the mechanisms associated with the
potential impact of WOP on WS staling remain unclear. We studied the
effect of WOP on WS retrogradation during storage. The rheology,
* Corresponding author at: College of Food Science and Engineering, Wuhan Polytechnic University, Xuefu South Road 68, Wuhan 430023, China.
E-mail address: 15972083170@163.com (Y. Fu).
Contents lists available at ScienceDirect
Food Chemistry
journal homepage: www.elsevier.com/locate/foodchem
https://doi.org/10.1016/j.foodchem.2023.136723
Received 18 October 2022; Received in revised form 18 June 2023; Accepted 23 June 2023
Food Chemistry 427 (2023) 136723
2
gelatinization characteristics, crystal structure, long-range and short-
range molecular order degree, water migration, expansion degree and
solubility of wheat starch were systematically measured. Besides, the
microstructure of WOP-WS gel was observed, and we proposed the hy-
pothesis that WOP could inhibit the staling of WS gel by coating starch
particles and reducing starch leaching.
2. Materials and methods
2.1. Materials and preparation of WS-WOP gel
The WS (99% purity, 24.2% amylose content, 62.4% amylopectin
content, 13% moisture, dry basis) was obtained from Shanghai Yuanye
Bio-Technology Co., Ltd. The WOP (food-grade, 90% purity) obtained
from Xian BaiChuan Biological Technology Co., Ltd. (Xian, China) had
not been further puried. And other reagents were analytical grade.
WS (6%, w/v)-WOP (on the basis of WS, 0, 0.5, 1, 1.5%) gels were
made based on our recent work (Zhou et al., 2022). The mixture solution
was stirred at 30 C for 30 min, then the mixture was heated at 95 C for
30 min.
2.2. Dynamic rheology
The DHR-2 rheometer (TA Instruments, New Castle, DE, USA) was
used to measure dynamic rheological properties. A parallel plate ge-
ometry of 1 mm gap and 40 mm diameter was selected. Scanning was
performed at an angular frequency of 1100 s
1
in the linear viscoelastic
region of 1% strain under frequency sweep scanning. The energy storage
modulus (G
) and loss modulus (G
) of the gels were measured (Xiong, Li,
Shi, & Ye, 2017).
2.3. Pasting properties analysis (RVA)
The viscosity of WS-WOP was studied using rapid viscosity analyzer
(RVA-Super 4, Perten, Sweden). The settings were as follow, 50 C for 1
min, heated to 95 C at a constant rate of 12 C /min and kept for 2.5
min, and then cooled back to 50 C at the same rate and kept for 2 min.
The sample parameters were obtained by RVA software (Ma, Zhu, &
Wang, 2019).
2.4. Hardness test
The texture analyzer (TA.XTC-18, Shanghai Bosin Industrial Devel-
opment Co., Ltd., China) was used to evaluate the hardness property of
WS-WOP gels. The gel was placed under the center of TA/50 probe (Fu
et al., 2021). The setting was: pretest speed 1 mm/s, test speed 3 mm/s,
trigger force 5 g, compression variable 50%, and interval time 5 s. The
experiment was repeated 3 times.
2.5. X-ray diffraction (XRD)
The XRD patterns of lyophilized WS-WOP gel powders were
measured by Cu-K
α
irradiation (λ =1.54056 Å) at 40 kV and 40 mA
currents (XRD, Empyrean, PANalytical B.V, Netherlands). Samples were
scanned at room temperature with a frequency of 4/min ranging from 4
to 40. The relative crystallinity was analyzed with Jade 6.5 software
(Liu et al., 2020).
2.6. Low-eld nuclear magnetic resonance (LF-NMR)
In order to observe the water migration behavior of WS-WOP gel, LF-
NMR (NMI20-015 V, Niumag Electric Corporation, China) was used
(Xiao et al., 2020). Relaxation curves were obtained using CPMG (Carr-
Purcell-Meiboom-Gill) pulse sequence, and the relaxation time T2 and
the corresponding relative peak areas, as well as area ratios, were
calculated and recorded.
2.7. Solubility and swelling power
Swelling power (SP) and solubility (S) were determined with minor
modications based on previous study (Cui, Fang, Zhou, & Yang, 2014).
After the gel had cooled to room temperature, the 20 g starch gel was
weighed and transferred to a 50 ml centrifuge tube, centrifuged (TGL-
20bR, Shanghai Anting Scientic Instrument Factory, China) at 3000g
for 20 min, and the quantity of the precipitation was weighed in
centrifuge tube. Then the supernatant uid in 105 C oven drying to
constant weight. S and SP were calculated according to Eqs. (1) and (2).
S(%) = [W2/W0] × 100 (1)
SP (g/g) = W1/[W0× (100% S) ] (2)
W
2
represented the weight of the supernatant after drying (g), W
1
rep-
resented the starch weight on a dry basis (g), W
0
represented the weight
of the precipitate (g).
2.8. Water holding capacity (WHC)
The WS-WOP gel (20 g) was weighed and transferred to the 50 ml
centrifuge tube, then centrifuged at 10,000×g for 10 min, and the pre-
cipitate was weighed after removal of water (Liu, Hong, Gu, Li, & Cheng,
2015). WHC is calculated by the Eq. (3).
WHC (%) = W2/W1×100% (3)
In the formula: W
1
was the weight of gel (g); W
2
was the weight of the
remaining sediment (g).
2.9. Scanning electron microscopy (SEM)
The samples were quick-frozen (BDS3P, Guangdong Bandu Electric
Appliance Co., LTD., China) at 30 C for 1 h and then lyophilized in a
vacuum freeze-dryer at a temperature of 65 C for 72 h. Scanning
electron microscopy (Sigma 300, Zeiss, Germany) was used to take
pictures of the freeze-dried (FD-1A, Beijing Boyiakang Experimental
Instrument Co., Ltd., China) samples (Jia et al., 2022). The magnica-
tion was 500×.
2.10. Fourier-transform infrared spectroscopy (FTIR)
The lyophilized powder was mixed with dried potassium bromide at
a mass ratio of 1:100 and compacted, then placed on a Fourier transform
infrared spectrum sample holder (FTIR, Thermo Nicolet NEXUS670,
Thermo Fisher Science Inc., Waltham, USA). The sample was scanned at
wave numbers ranging of 4000400 cm
1
. Each was scanned 25 times
with a resolution of 4 cm
1
. Omnic and Peakt software were used for
spectral analysis (Su et al., 2020).
2.11. Statistical analysis
The data were statistically analyzed by one-way Analysis of Variance
(ANOVA), and the mean was compared by Duncans multiple range test
(P <0.05). SPSS19.0 statistical analysis software was used for statistical
analysis.
3. Results and discussion
3.1. Dynamic rheology
To investigate the rheological properties of WOP-starch gels, G
and
G
values with different concentrations were detected. G
was the
modulus of elasticity, which was used to reect the staling property of
starch gels, in particular short-term amylose staling. G
reected the
viscosity modulus of starch gels, as well as its liquid-like property (Jia
L. Wan et al.
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