Research Article
Received: 23 May 2023 Revised: 11 September 2023 Accepted article published: 20 September 2023 Published online in Wiley Online Library:
(wileyonlinelibrary.com) DOI 10.1002/jsfa.12992
Influence of pre-treatment methods on quality
indicators and mineral composition of plant
milk from different sources of raw materials
Filipp V. Lavrentev,a Darina A. Baranovskaia,b Valerii A. Shiriaev,b
Daria A. Fomicheva,b Viktotiia A. Iatsenko,b Maksim S. Ivanov,b
Mariia S. Ashikhmina,a Olga V. Morozovab and Natalia V. Iakovchenkob*
Abstract
BACKGROUND: Pre-treatment of plant materials is essential in producing plant-based products and can affect their various
organoleptic and physicochemical characteristics. This work aimed to study the effect of pre-treatment of vegetable raw mate-
rials, namely ultrasonic processing and freezing of rawmaterials under various low-temperature conditions, to obtain multiple
types of vegetable milk and determine their characteristics.
RESULTS: It is shown that by applying a certain kind of pre-treatment of vegetable raw materials it is possible to adjust organ-
oleptic parameters and the content of solids, protein, fat, carbohydrates, fiber andmineral composition of various types of veg-
etablemilk from soy, rice, oats, wheat, peas, buckwheat, pumpkin seeds and lentils. Ultrasound pre-treatment allows increasing
of polyphenol content by an average of 15–20% for all types of plant milk, except for lentil milk. The results showed that ultra-
sound treatment for 3 min had the most significant effect on the overall acceptability for lentils, pumpkin, rice and pea milk.
Pre-freezing at a temperature regime of −17 and –85 °C contributed to an increase in Fe, K, Zn, Ca, Mg, Si and P by an average
of 30–100%, depending on the plant material.
CONCLUSION: Pre-treatment of vegetable raw materials, including freezing and ultrasonic treatment, can positively affect the
macro- and micronutrient composition of plant milk. However, the effect may vary depending on the type of raw material and
processing conditions.
© 2023 Society of Chemical Industry.
Keywords: pre-treatment; pre-freezing; ultrasound; plant milk; mineral composition
INTRODUCTION
In recent years, the importance of products that have a directed
positive effect on the health and condition of the body has
increased. Such products are summarized in a separate class: func-
tional products.1 Functional food products can be made on the
basis of various raw materials, both animal and vegetable.2,3 How-
ever, there are food safety issues such as lack of animal raw mate-
rials, protein deficiency4 and global health issues such as
nutritional diseases.5-7 They determine the development strategy
for the functional food segment.8,9 The development of functional
foods should correlate with the interests of society and currentmar-
ket trends.10,11 Alternatives to cow's milk need to be introduced to
the market for a number of reasons – for example, due to the rapid
development of veganism and vegetarianism, as well as to an
increase in cases of manifestation of ⊎-galactose deficiency and
allergy to milk protein.
Vegetable milk can be characterized as a complex free-dispersion
system, the dispersion medium of which is water, and the disper-
sion phase is organic compounds of plant origin of various molecu-
lar weights and chemical nature (proteins, fats, and simple and
complex carbohydrates).12 The production of vegetable milk can
be carried out by two methods: the mixing method and the
extraction method.13 In the first case, commercial herbal supple-
ments, such as isolates and concentrates of vegetable proteins,
dietary fibers, fats and functional processing additives, are used as
raw materials. The calculated proportions are mixed with water
and subjected to further processing: hom*ogenization and pasteuri-
zation.14,15 In the second case, the plant material is sequentially
subjected to grinding, hydration for several hours in the aqueous
phase, filtration to remove large particles, hom*ogenization and heat
treatment. In the production of vegetable milk, it is allowable to use
flavoring substances, fruit and vegetable fillers, and stabilizers to
modify the organoleptic properties of the finished product.16
* Correspondence to: NV Iakovchenko, Faculty of Biotechnologies
(BioTech), ITMO University, Saint Petersburg 191002, Russia.
E-mail: nviakovchenko@itmo.ru
a Infochemistry Scientific Center, ITMO University, Saint Petersburg, Russia
b Faculty of Biotechnologies (BioTech), ITMO University, Saint Petersburg, Russia
J Sci Food Agric 2023 www.soci.org © 2023 Society of Chemical Industry.
1
https://orcid.org/0000-0002-1770-4456
https://orcid.org/0000-0002-5188-5916
mailto:nviakovchenko@itmo.ru
Almonds, coconut, flax, hemp, oats, quinoa rice, soybeans and so
forth can be used as raw materials for the production of plant-
based milk.17 The chemical composition of plant raw materials is
ambiguous, which raises the question of the actual usefulness of
plant analogs. For example, it was found that the systematic con-
sumption of soy milk can cause endocrine disruption.18 Also, a
common disadvantage of commercialized plant extracts, with the
exception of soy, is the low content of protein,12 as well as micro-
and macro-elements, primarily calcium and iron,19 as well as the
presence of antinutrients.20,21 At the same time, it is known that
vegetable protein is less complete in amino acid composition com-
pared to milk protein. Plant-based milk based on legumes is also
not without drawbacks. For example, it is known that legumes con-
tain inhibitors of trypsin and lipoxygenase, the presence ofwhich is
a factor in the occurrence of an unpleasant taste in soy milk,22 as
well as the presence of proteins with high allergenic potential.
Trypsin inhibitors also affect protein digestibility during digestion,
reducing its bioavailability.23 In order to prevent inadequate
metabolism due to the presence of bioactive compounds in plant
materials, as well as to increase the nutritional value and organo-
leptic properties, in addition to the choice of rawmaterials it is nec-
essary to apply pre-treatments. Pre-treatment of plant materials
may include hydration, blanching, ultrasonic treatment, roasting
and cryopreservation.24
Ultrasonic treatment is a kind of mechanical non-thermal treat-
ment, the effect of which is due to acoustic cavitation. Previous
studies have shown that ultrasonic treatment increases the resis-
tance of vegetable milk to phase separation, increases the Brix
yield of solids and improves the colloidal stability of the emulsion,
but leads to partial protein denaturation.25-29 Ultrasonic treat-
ment leads to an increase in the interface area and a decrease in
the average distance between the particles, which causes a stron-
ger interaction between them and leads to the effect of
hom*ogenization.30
However, no studies have been conducted to investigate the
best possible method for producing plant-based milk with high
nutritional and biological value and a high organoleptic profile.
By choosing one type of pre-treatment, it is possible to control
the consumer and functional properties of the final product. In
this paper, the effect of various types of pre-treatment of plant
materials on physical, microbial and organoleptic properties will
be considered. Commercially significant crops – soybeans, oats,
pumpkin seeds, lentils, wheat, buckwheat and rice, which are
available and reproducible in most countries – were chosen as
plant raw materials.
MATERIALS AND METHODS
Materials
Pumpkin (Cucurbita maxima D.) seeds, white rice (Oryza sativa L.),
whole oats (Avena sativa L.), green buckwheat (fa*gopyrum escu-
lentum M.) groats, lentils (Lens culinaris subsp. culinaris), whole
pea beans (Pisum sativum L.), and whole wheat grains (Triticum
aestivum L.) were purchased in a local market. ⊍-Amylase from
Bacillus subtilis (powder, ≥400 units mg−1 protein, A6814) was
purchased from Sigma Aldrich (Taufkirchen, Germany).
Methods
,General aspects of plant milk production
The general production flowchart of plant milk with different pre-
treatment methods is presented in Fig. 1. For preparation of the
plant milk, the raw plant material was soaked for 12 h, and the
water was discarded. Soaking allows for the removal of enzyme
inhibitors, improving nutrient digestibility and bioavailability,
and softens the plant to aid in further processing.31 The rawmate-
rials were than ground into a paste with a fresh batch of filtered
water. Freezing pre-treatment at −17 °C (biomedical freezer
DW-30L818BP, Haier, Qingdao, China) and −85 °C (ANTECH ULT
freezer MDF-86 U158, Antech Scientific Co. Ltd, Qingdao, China)
of plant materials was used before soaking. Ultrasound pre-
treatment (frequency 35 kHz; SONOREX DIGIPLUS DL 510 H, Ban-
delin Electronic, Berlin, Germany) was used after soaking and after
the addition of a new portion of filtered water. A control sample of
each milk variety (without pre-treatment) and samples subjected
to pre-treatment (ultrasound and freezing) were prepared from
500 g raw material according to the presented generic design of
the processing steps, adapted to each type of plant raw material.
After milling, the resulting liquid was filtered through a filter cloth
made of polyethylene terephthalate (weight 140 g m−2). Clean
rubber gloves were used for squeezing. The obtained liquid was
heat treated using Thermomix at rate 2 (7400 × g) at a tempera-
ture and holding time chosen individually for each plant milk to
ensure system stability and microbiological safety.
Special aspects of plant milk production
Pumpkin seed milk and lentil milk production. Pumpkin seeds
(500 g) were washed with tap water and soaked for 12 h in a ratio
of water to raw material of 3:1 (v/w). The water was removed and
replaced with the remaining filtered water to complete the vol-
ume and retain the 3:1 (v/w) ratio; the sample was then ground
using an electrical blender (KitchenAid K150, Whirlpool Corp.,
Benton Harbor, MI, USA) for 3 min. The pumpkin seed milk sam-
ples were subjected to heat treatment at 68 ± 2 °C for 20 min.
Pea milk production. Pea beans (500 g) were washed using tap
water and soaked overnight (12 h) in filtered water at a ratio of
1:3 (w/v). After this step, the water was drained, and a new portion
of filtered water was added to complete the volume and retain the
ratio of water and beans. The pea beans andwater were processed
in a blender (KitchenAid K150) for 3 min and additional water was
added during grinding to adjust the water-to-beans ratio to 5:1
(v/w) to obtain the consistency of a beverage. The obtained pea
milk samples were heat treated at 85 ± 1 °C for 5 min.
Oat milk and wheat milk production. Wheat grains (500 g) or oats
(500 g) were washed with tap water and soaked for 12 h
(1:3, w/v). The water was drained and water added to retain the
previous proportions of water and plant raw material. After this
step, the oat or wheat slurry was obtained using a blender
(KitchenAid K150) for 3 min. To avoid problems such as gel-like
consistency with high viscosity, the oat slurry was subjected to
enzymatic hydrolysis with ⊍-amylase 0.4% (w/v) at 65 °C for
30 min. The mixture was heated to 90 °C for 1 min to inactivate
the amylase. Then, the samples of oat and wheat slurries were fil-
tered and subjected to heat treatment at 85 ± 1 °C for 5 min and
68 ± 2 °C for 25 min, respectively.
Rice milk production. Rice (500 g) was washed and soaked in water
1:4 (w/v) for 12 h in a clean bowl. The water was drained, and
a new portion of filtered water was added to compensate
for the ratio of 1:4 (w/v). The rice was boiled and then put on a
gentle heat until fully cooked. Filtered water was added to the rice
(8:1 w/w) and milled using a blender (KitchenAid K150) for 3 min.
Enzymatic liquefaction of starch was used to reduce viscosity and
www.soci.org FV Lavrentev et al.
wileyonlinelibrary.com/jsfa © 2023 Society of Chemical Industry. J Sci Food Agric 2023
2
http://wileyonlinelibrary.com/jsfa
in order to increase the milk yield using ⊍-amylase (0.3%, (w/v) at
65 °C for 25 min by facilitating the process of filtration. To inacti-
vate ⊍-amylase the slurry was heated to 90 °C for 1 min. The pas-
teurization temperature was 85 ± 1 °C for 5 min.
Green buckwheat milk production. Green buckwheat grains (500 g)
were soaked in filtered water overnight (12 h) at a ratio of 3:1
(v/w). The water was drained, and the grains were washed three
times with filtered water to remove the mucus. Water was then
added in such an amount as to maintain a ratio of water to grains
of 3:1 (v/w). The mixture was crushed using a blender (KitchenAid
K150) for 3 min. ⊍-Amylase was added at 0.1% (w/v) and held at
65 °C for 20 min, heated to 90 °C for 1 min, filtered and pasteur-
ized at 85 ± 1 °C for 5 min.
Physicochemical analyses
All analyses were performed in triplicate. The pH of the samples
was measured by pHmeter (HI98127, Hanna Instruments, Szeged,
Hungary). Total solids content was determined according to
method described by Liu and Chang.32 Determination of the pro-
tein content of samples was performed by the Kjeldahl method
according to AOAC33 method 991.22. Crude fiber content was
estimated according to the standard procedure as given in
method No. 32-10.34 Total fat content was determined gravimet-
rically using the method of Weibull–Stoldt using HydrolEx H-506
and FatExtractor E-500 Soxhlet (BuchiLabortechnik).35 The per-
centage of carbohydrate content was determined by calculating
using difference.36 Total phenolic content was analyzed using
the colorimetric method described by Rodríguez-Roque et al.37
using Folin–Ciocalteu reagent. Absorbance at 725 nm was mea-
sured using a UV-1800 spectrophotometer (Shimadzu, Kyoto,
Japan). Concentrations were determined by comparing the absor-
bance of the samples with a calibration curve built using gallic
acid (Sigma Aldrich, Germany).
Mineral content
Mineral element concentrations were measured by atomic emis-
sion spectrometry with microwave plasma emissionmethod using
the 4200 MP-AES system (Agilent Technologies, Santa Clara, CA,
USA). Samples were preliminarily mineralized in a ETHOS EASY
microwave digestion system (Milestone, Sorisole, Italy). Quantita-
tive analysis was performed by themethod of absolute calibration.
For mineralization, an analytical thoroughly hom*ogenized sample
was placed in the autoclave of a microwave decomposition sys-
tem. A mixture of 70% HNO3 and 30% H2O2 was added. The auto-
clave with the added components of the reaction mixture were
kept at room temperature for at least 30 min. After exposure, the
autoclave was hermetically sealed with a standard lid andmineral-
izationwas carried out according to the program of themicrowave
system. At the end of mineralization, the autoclave was cooled to
room temperature. The contents of the autoclavewere evaporated
on an electric stove to a volume of not more than 5 cm3 and then
cooled. The mineralized material was quantitatively transferred to
a volumetric flask with a capacity of 25 cm3 and the volume was
adjusted to the mark with 1% HNO3 solution. Simultaneously with
the analytical solutions, a blank sample solution was prepared. The
resulting analytical solutions in the determination of macronutri-
ents (K, Na, Ca, P) were additionally diluted with 1% HNO3 solution
100 times. Thewavelengths for each element used for quantitation
are shown in Table 1.
Sensory evaluation
The method of quantitative descriptor–profile analysis was used
in the evaluation of the organoleptic characteristics of plant-
based milk. Individual sensory characteristics (descriptors) were
selected and evaluated on a 7-point scale. The characteristics of
the selected descriptors are presented in Table 2.
The samples were presented in 100 mL glass jars with tightly
sealed lids. Plant-based milk was tempered to 10 ± 1 °C for tasting.
Each sample was served monadically with deionized water and
unsalted crackers. Each sample was coded with a three-digit
,code.
The comparison sample (control sample) was uncovered in order
to obtain more reliable data. The samples were tested in an air-
conditioned room (20 ± 1 °C), with uniform lighting in separate
booths by a group of 17 trainedmembers (47% of participants were
women aged 25–69 years old and 53% of participants were men
aged 23–65 years old). All of them were familiar with plant milk
and used it regularly. All participants had previously completed a
sensory evaluation course. To avoid distorting taste and flavor
scores, evaluators were asked not to consume hot drinks, spicy, salty,
sweet or bitter foods, and not to smoke 3 h before testing, avoid
fatigue, and not use perfume on the day of testing. The sensory test
panel was available for testing in three separate sessions in three
repetitions during the session.
Figure 1. General production flowchart of plant milk with different pre-treatment methods. GAE, gallic acid equivalents.
Influence of pre-treatment methods on plant milk www.soci.org
J Sci Food Agric 2023 © 2023 Society of Chemical Industry. wileyonlinelibrary.com/jsfa
3
http://wileyonlinelibrary.com/jsfa
Statistical analysis
All experiments were performed in triplicate. The data were
expressed as mean ± standard deviation (SD). Comparisons
between different samples were performed by analysis of vari-
ance (ANOVA) and Tukey's test (P < 0.05).
RESULTS AND DISCUSSION
Proper processing of plant material for extraction is just as impor-
tant as the choice of extraction method. It is currently expected
that pre-treatment will affect the plant material in a way that pro-
motes the release of bioactive compounds loosely bound to cell
wall polymers. Therefore, proper pre-treatment can increase the
efficiency of the extraction of biologically active compounds.
According to the data presented in Table 3, it can be seen that
the pre-treatment of vegetable raw materials has a direct impact
on the physicochemical characteristics of plant milk.
Ultrasonic treatment leads to an increase in the hydrophobicity of
proteins due to partial denaturation at the bubble–liquid inter-
face.30 In this case, proteins acquire the properties of surfactants
and participate in the stabilization of the consistency, preventing
the phenomenon of sedimentation.38 Ultrasonic processing
increases the protein yield by an average of 50% in rice (from 3.5
to 5.3 g kg−1), buckwheat (from 17.1 to 25.9 g kg−1), lentils (from
18.2 to 25.2 g kg−1) and pea (from 15.8 to 24.9 g kg−1), which is
probably due to the initial properties of protein molecules. Sonica-
tion results in protein conformation. For example, ultrasound facili-
tates the transformation of ⊎-turns into ⊎-sheets in gluten and
weakens the strength of intermolecular hydrogen bonds.39 These
changes affect the dispersion of protein molecules or, rather, lead
to a decrease in distribution, facilitating themass transfer of the pro-
tein phase into the solution. The mechanical impact of ultrasonic
Table 1. Analytical conditions for determining elements
Element The most sensitive wavelengths (nm)
Iron 234.349
Aluminum 394.401
Barium 614.171
Beryllium 313.107
Boron 249.772
Vanadium 437.923
Potassium 766.491
Calcium 422.673
Cobalt 340.512
Silicon 251.611
Magnesium 285.213
Manganese 403.076
Copper 324.754
Molybdenum 379.825
Sodium 589.592
Rubidium 780.027
Strontium 407.771
Phosphorus 213.618
Chromium 425.433
Zinc 213.857
Table 2. Description of the organoleptic characteristics used to evaluate the samples
Attribute Definition
Scale
1 7
Visual
hom*ogeneity A mixture is hom*ogeneous if there is no phase change between any
two points in the mixture. No stratification, lumps, flakes, fat stains
Absent High
Odor
Raw material smell The quality of a thing that is or may be smelled Low High
Texture
Viscosity Force required to move a spoon back and forth Fluid Thick
Oiliness Coating detected in the mouth due to oil or grease Absent High
Wateriness The state or condition of being watery or diluted Absent High
Taste
Sour taste Basic taste, perceived on the tongue, stimulated by organic acids Not detected Intensive
Bitter taste Basic taste, perceived on the tongue, stimulated by substances such
as quinine of caffeine
Not detected Intensive
Sweet taste Basic taste, perceived on the tongue, stimulated by sugars Not detected Intensive
Salty taste Basic taste, perceived on the tongue, reminiscent of sea water Not detected Intensive
Taste of raw material The taste of the plant base from which milk is made Not detected Intensive
Aftertaste
Sour aftertaste The intensity of sour aftertaste after swallowing Not detected Intensive
Bitter aftertaste The intensity of bitter aftertaste after swallowing Not detected Intensive
Sweet aftertaste The intensity of sweet aftertaste after swallowing Not detected Intensive
Salty aftertaste The intensity of salty aftertaste after swallowing Not detected Intensive
Astringent aftertaste The feeling factor on the tongue or other skin surfaces of the mouth
described as puckering or drying
Not detected Intensive
Raw material aftertaste The intensity of plant base aftertaste after swallowing Not detected Intensive
Preference Overall acceptability The weakest The strongest
www.soci.org FV Lavrentev et al.
wileyonlinelibrary.com/jsfa © 2023 Society of Chemical Industry. J Sci Food Agric 2023
4
http://wileyonlinelibrary.com/jsfa
Ta
b
le
3.
Q
ua
lit
y
ch
ar
ac
te
ris
tic
s
of
pl
an
t-
ba
se
d
m
ilk
de
pe
nd
in
g
on
pr
e-
tr
ea
tm
en
t
m
et
ho
ds
Sa
m
pl
e
of
pl
an
t
m
ilk
pH
D
ry
m
at
te
r
(g
kg
−
1
)
Pr
ot
ei
n
(g
kg
−
1
)
Fa
t
(g
kg
−
1
)
C
ru
de
fi
be
r
(g
kg
−
1
)
Po
ly
ph
en
ol
s
(G
A
E)
(m
g
kg
−
1
)
C
ar
bo
hy
dr
at
es
(g
kg
−
1
)
Pu
m
pk
in
se
ed
co
nt
ro
l
7.
00
±
0.
03
a
14
3.
2
±
0.
1a
34
.5
±
0.
6a
83
.1
±
9.
5a
<
1.
13
25
.1
±
42
.1
a
21
.1
±
4.
9a
Pu
m
pk
in
se
ed
U
S
1
6.
99
±
0.
02
a
13
7.
5
±
0.
2b
24
.7
±
0.
6b
83
.2
±
8.
6a
<
1.
13
16
.3
±
48
.8
a
24
.6
±
3.
6b
Pu
m
pk
in
se
ed
U
S
3
7.
02
±
0.
02
a
13
5.
7
±
0.
1b
24
.9
±
0.
9b
86
.2
±
8.
6a
<
1.
13
73
.1
±
54
.3
b
20
.2
±
3.
1a
Pu
m
pk
in
se
ed
U
S
5
6.
99
±
0.
03
a
12
6.
8
±
0.
2c
26
.4
±
0.
8b
87
.1
±
6.
8a
<
1.
14
56
.7
±
63
.4
b
10
.3
±
2.
1c
Pu
m
pk
in
se
ed
−
17
°C
6.
97
±
0.
03
a
12
9.
8
±
0.
3c
27
.1
±
0.
8b
86
.3
±
9.
2a
<
1.
80
9.
1
±
40
.1
3c
12
.1
±
2.
6c
Pu
m
pk
in
se
ed
−
85
°C
7.
00
±
0.
03
a
12
4.
5
±
0.
1c
28
.7
±
0.
9b
81
.3
±
8.
7a
<
1.
92
1.
2
±
47
.9
c
10
.8
±
2.
3c
Ri
ce
co
nt
ro
l
6.
50
±
0.
02
a
72
.1
±
0.
1a
3.
5
±
0.
3a
0.
2
±
0.
1a
<
1.
14
3.
5
±
6.
1a
68
.1
±
5.
4a
Ri
ce
U
S
1
6.
45
±
0.
01
a
70
.1
±
0.
1a
3.
6
±
0.
3a
0.
2
±
0.
1a
<
1.
16
2.
7
±
3.
4a
66
.1
±
2.
4a
Ri
ce
U
S
3
6.
55
±
0.
02
a
66
.7
±
0.
3b
5.
3
±
0.
2b
0.
2
±
0.
1a
<
1.
25
4.
7
±
7.
1b
60
.9
±
3.
2b
Ri
ce
U
S
5
6.
64
±
0.
02
a
65
.3
±
0.
3b
4.
±
0.
2a
0.
2
±
0.
1a
<
1.
19
6.
9
±
3.
1b
60
.7
±
2.
9b
Ri
ce
−
17
°C
6.
70
±
0.
01
a
67
.6
±
0.
2b
2.
±
0.
4c
0.
2
±
0.
1a
<
1.
68
.7
±
2.
4c
64
.9
±
3.
1a
Ri
ce
−
85
°C
6.
67
±
0.
02
a
71
.1
±
0.
2a
1.
7
±
0.
1c
0.
2
±
0.
1a
<
1.
13
3.
4
±
3.
1a
68
.8
±
3.
3a
O
at
s
co
nt
ro
l
5.
98
±
0.
02
a
14
8.
3
±
7.
3a
18
.9
±
0.
5a
12
.3
±
1.
3a
<
1.
78
6.
7
±
11
.6
a
11
3.
2
±
12
.1
a
O
at
s
U
S
1
5.
97
±
0.
02
a
14
9.
6
±
7.
3a
14
.6
±
0.
8a
11
.5
±
1.
1a
<
1.
85
0.
1
±
13
.3
b
12
0.
9
±
11
.1
a
O
at
s
U
S
3
6.
00
±
0.
02
a
15
1.
3
±
7.
3a
12
.1
±
0.
5b
10
.2
±
1.
1a
<
1.
74
7.
4
±
12
.3
a
12
6.
7
±
12
.3
a
O
at
s
U
S
5
5.
91
±
0.
03
a
15
3.
3
±
7.
3a
10
.1
±
0.
4b
9.
5
±
2.
1a
<
1.
67
7.
2
±
12
.5
c
13
1.
4
±
10
.3
b
O
at
s
−
17
°C
6.
07
±
0.
04
a
14
2.
1
±
7.
3a
8.
3
±
0.
4b
5.
2
±
1.
2b
<
1.
73
1.
±
12
.6
a
12
5.
9
±
13
.6
a
O
at
s
−
85
°C
6.
01
±
0.
03
a
14
4.
9
±
7.
3a
4.
6
±
0.
5c
5.
2
±
1.
3b
<
1.
80
9.
5
±
13
.2
a
13
3.
2
±
14
.3
b
Bu
ck
w
he
,at
co
nt
ro
l
6.
74
±
0.
03
a
67
.9
±
5.
4a
17
.1
±
0.
3a
3.
1
±
0.
3a
<
1.
74
2.
2
±
13
.3
a
44
.9
±
3.
4a
Bu
ck
w
he
at
U
S
1
6.
70
±
0.
01
a
64
.8
±
2.
3a
19
.9
±
0.
3a
3.
3
±
0.
2a
<
1.
83
3.
2
±
11
.9
b
36
.9
±
2.
9b
Bu
ck
w
he
at
U
S
3
6.
80
±
0.
01
a
63
.9
±
2.
2a
22
.9
±
0.
2a
3.
3
±
0.
1a
<
1.
84
3.
6
±
12
.7
b
34
.9
±
4.
1b
Bu
ck
w
he
at
U
S
5
6.
81
±
0.
02
a
61
.1
±
3.
2a
25
.9
±
0.
5a
3.
2
±
0.
1a
<
1.
74
2.
3
±
11
.6
a
28
.6
±
3.
2c
Bu
ck
w
he
at
−
17
°C
6.
79
±
0.
03
a
62
.3
±
2.
9a
27
.3
±
0.
2a
2.
8
±
0.
2a
<
1.
73
2.
1
±
11
.5
a
29
.6
±
2.
1c
Bu
ck
w
he
at
−
85
°C
6.
78
±
0.
02
a
57
.9
±
2.
1b
27
.6
±
0.
2a
2.
7
±
0.
1a
<
1.
69
5.
6
±
12
.2
c
24
.9
±
2.
2c
Le
nt
ils
co
nt
ro
l
6.
61
±
0.
02
a
10
7.
8
±
1.
5a
18
.2
±
0.
3a
2.
1
±
0.
1a
<
1.
77
4.
3
±
12
.3
a
82
.9
±
12
.3
a
Le
nt
ils
U
S
1
6.
62
±
0.
02
a
10
1.
6
±
1.
3a
19
.1
±
0.
1a
2.
2
±
0.
0a
<
1.
70
2.
4
±
18
.7
b
78
.7
±
8.
9a
Le
nt
ils
U
S
3
6.
61
±
0.
04
a
98
.3
±
2.
1a
22
.5
±
0.
2a
2.
1
±
0.
2a
<
1.
70
3.
2
±
15
.6
b
71
.7
±
9.
9b
Le
nt
ils
U
S
5
6.
64
±
0.
01
a
96
.3
±
1.
3a
25
.2
±
0.
2b
3.
±
0.
4b
<
1.
70
0.
7
±
13
.4
b
64
.1
±
8.
7b
Le
nt
ils
−
17
°C
6.
60
±
0.
03
a
63
.6
±
1.
1b
21
.4
±
0.
3a
2.
1
±
0.
3a
<
1.
75
0.
7
±
19
.8
a
34
.9
±
4.
5c
Le
nt
ils
−
85
°C
6.
65
±
0.
03
a
59
.4
±
1.
6b
13
.9
±
0.
1a
2.
1
±
0.
2a
<
1.
40
3.
1
±
12
.3
c
39
.7
±
5.
4c
Pe
a
co
nt
ro
l
6.
59
±
0.
03
a
57
.3
±
1.
8a
15
.8
±
0.
8a
1.
2
±
0.
2a
<
1.
55
3.
3
±
17
.7
a
37
.3
±
3.
7a
Pe
a
U
S
1
6.
63
±
0.
04
a
56
.4
±
2.
8a
15
.9
±
0.
8a
1.
9
±
0.
2a
<
1.
55
8.
±
17
.9
a
35
.8
±
3.
4a
Pe
a
U
S
3
6.
66
±
0.
02
a
55
.5
±
1.
0a
24
.9
±
0.
2b
1.
4
±
0.
1a
<
1.
60
7.
3
±
18
.4
b
26
.6
±
3.
4b
Pe
a
U
S
5
6.
67
±
0.
04
a
54
.2
±
2.
7a
17
.8
±
0.
9a
1.
5
±
0.
1a
<
1.
50
1.
±
15
.1
c
32
.1
±
2.
9a
Pe
a
−
17
°C
6.
68
±
0.
04
a
55
.9
±
2.
8a
10
.4
±
0.
5a
1.
7
±
0.
3a
<
1.
54
7.
3
±
17
.4
a
40
.6
±
6.
4a
Pe
a
−
85
°C
6.
65
±
0.
04
a
56
.6
±
2.
1a
14
.1
±
0.
7a
1.
3
±
0.
2a
<
1.
53
3.
5
±
16
.7
a
38
.5
±
4.
1a
W
he
at
co
nt
ro
l
6.
60
±
0.
02
a
63
.1
±
1.
8a
27
.8
±
0.
2a
0.
8
±
0.
01
a
<
1.
21
1.
1
±
3.
8a
32
.7
±
2.
7a
W
he
at
U
S
1
6.
37
±
0.
03
a
64
.5
±
1.
3a
27
.0
±
0.
3a
1.
6
±
0.
02
b
<
1.
23
5.
8
±
5.
3a
34
.5
±
2.
9a
W
he
at
U
S
3
6.
20
±
0.
03
a
67
.9
±
1.
7a
26
.3
±
0.
3a
1.
7
±
0.
02
b
<
1.
26
5.
6
±
3.
4b
38
.5
±
3.
6a
W
he
at
U
S
5
6.
35
±
0.
03
a
72
.1
±
1.
1b
24
.1
±
0.
4a
1.
8
±
0.
02
b
<
1.
26
1.
4
±
2.
8b
44
.6
±
4.
2b
W
he
at
−
17
°C
6.
58
±
0.
04
a
54
.7
±
1.
1c
18
.6
±
0.
1b
0.
7
±
0.
01
a
<
1.
19
7.
2
±
3.
7a
33
.8
±
2.
9a
W
he
at
−
85
°C
6.
63
±
0.
02
a
59
.4
±
1.
4c
21
.1
±
0.
4b
0.
7
±
0.
01
a
<
1.
18
7.
3
±
4.
1a
36
.2
±
2.
9a
N
ot
e:
Va
lu
es
in
th
e
sa
m
e
co
lu
m
n
fo
llo
w
ed
by
di
ff
er
en
t
le
tt
er
s
di
ff
er
si
gn
ifi
ca
nt
ly
(P
≤
0.
05
).
Th
e
re
su
lts
ar
e
ex
pr
es
se
d
as
m
ea
ns
±
st
an
da
rd
de
vi
at
io
n
(S
D
).
A
bb
re
vi
at
io
ns
:G
A
E,
ga
lli
c
ac
id
eq
ui
va
le
nt
s;
U
S,
ul
tr
as
ou
nd
.
Influence of pre-treatment methods on plant milk www.soci.org
J Sci Food Agric 2023 © 2023 Society of Chemical Industry. wileyonlinelibrary.com/jsfa
5
http://wileyonlinelibrary.com/jsfa
Ta
b
le
4.
Pr
e-
tr
ea
tm
en
t
in
fl
ue
nc
e
on
m
in
er
al
co
nt
en
t
of
pl
an
t-
ba
se
d
m
ilk
Sa
m
pl
e
El
em
en
t
(m
g
kg
−
1
)p
la
nt
m
ilk
Fe
μ
g
kg
−
1
of
pl
an
t
m
ilk
A
l
Ba
B
K
C
a
Si
M
g
M
n
Pu
m
pk
in
se
ed
co
nt
ro
l
12
.6
1
±
0.
51
a
0.
23
±
0.
05
a
<
0.
02
0.
82
±
0.
05
a
78
5
±
41
a
32
.9
±
1.
6a
1.
23
±
0.
27
a
42
5
±
17
a
3.
54
±
0.
18
a
Pu
m
pk
in
se
ed
U
S
1
21
.1
9
±
0.
91
b
0.
21
±
0.
04
a
<
0.
02
0.
76
±
0.
05
a
71
3
±
31
b
32
.4
±
1.
6a
1.
09
±
0.
24
a
40
±
16
a
3.
39
±
0.
17
a
Pu
m
pk
in
se
ed
U
S
3
24
.0
34
±
0.
97
b
0.
20
±
0.
04
a
<
0.
02
0.
72
±
0.
05
a
69
8
±
35
b
31
.5
±
1.
5a
1.
01
±
0.
23
a
38
9
±
16
a
3.
18
±
0.
17
a
Pu
m
pk
in
se
ed
U
S
5
26
.1
1
±
0.
99
b
0.
18
±
0.
04
a
<
0.
02
0.
72
±
0.
05
a
65
4
±
34
b
30
.2
±
1.
3a
0.
98
±
0.
19
a
36
8
±
15
a
2.
79
±
0.
16
a
Pu
m
pk
in
se
ed
−
17
°C
27
.8
9
±
0.
67
b
0.
14
±
0.
03
b
<
0.
02
0.
73
±
0.
11
a
90
5
±
44
c
41
.5
±
2.
5b
<
0.
5
57
7
±
29
b
4.
42
±
0.
27
b
Pu
m
pk
in
se
ed
−
85
°C
23
.1
1
±
0.
59
b
0.
22
±
0.
04
a
<
0.
02
0.
80
±
0.
12
a
10
61
±
53
c
58
.1
±
3.
5c
<
0.
5
68
5
±
39
c
5.
24
±
0.
31
b
Ri
ce
co
nt
ro
l
8.
55
±
0.
55
a
0.
16
±
0.
06
a
<
0.
02
<
0.
15
71
.9
±
3.
6a
5.
1
±
0.
6a
0.
62
±
0.
17
a
24
.1
±
0.
8a
0.
87
±
0.
10
a
Ri
ce
U
S
1
9.
22
±
0.
52
a
0.
14
±
0.
04
a
<
0.
02
<
0.
15
43
.6
±
2.
2b
6.
9
±
0.
9a
0.
60
±
0.
18
a
22
.1
±
0.
8a
0.
62
±
0.
09
a
Ri
ce
U
S
3
11
.2
1
±
0.
62
b
0.
13
±
0.
03
a
<
0.
02
<
0.
15
12
.5
±
1.
3c
11
.2
±
1.
1b
<
0.
5
18
.3
±
1.
1b
0.
49
±
0.
03
b
Ri
ce
U
S
5
12
.2
2
±
0.
65
b
0.
13
±
0.
03
a
<
0.
02
<
0.
15
10
.2
3
±
1.
1c
13
.2
3
±
1.
1b
<
0.
5
16
.4
5
±
1.
1b
0.
44
±
0.
03
b
Ri
ce
−
17
°C
16
.8
7
±
0.
78
c
0.
37
±
0.
07
b
<
0.
02
<
0.
15
60
.7
±
4.
8a
11
.4
±
1.
1b
<
0.
5
23
.3
±
1.
4a
0.
68
±
0.
04
a
Ri
ce
−
85
°C
13
.9
9
±
0.
52
b
0.
25
±
0.
07
b
<
0.
02
<
0.
15
45
.4
±
2.
2b
17
.7
±
1.
2c
<
0.
5
24
.9
±
1.
4a
0.
78
±
0.
04
a
O
at
s
co
nt
ro
l
8.
68
±
0.
36
a
1.
04
±
0.
16
a
0.
11
6
±
0.
00
9a
<
0.
1
58
1
±
35
a
63
.2
±
3.
8a
39
.1
±
5.
9a
88
.7
±
5.
3a
4.
38
±
0.
35
a
O
at
s
U
S
1
9.
23
±
0.
39
a
1.
24
±
0.
19
a
0.
13
4
±
0.
01
1a
<
0.
1
59
8
±
36
a
73
.2
±
4.
4a
50
.3
±
7.
6b
10
0.
8
±
6.
0a
5.
32
±
0.
43
a
O
at
s
U
S
3
10
.4
5
±
0.
41
b
1.
39
±
0.
19
a
0.
14
5
±
0.
01
1a
<
0.
1
61
1
±
38
a
85
.1
±
4.
6b
61
.6
±
7.
9c
11
9.
4
±
6.
5b
6.
54
±
0.
55
b
O
at
s
U
S
5
12
.1
1
±
0.
54
c
1.
46
±
0.
19
a
0.
14
9
±
0.
01
1a
<
0.
1
63
4
±
38
a
89
.8
±
4.
3b
65
.2
3
±
7.
9c
12
6.
3
±
6.
8b
6.
99
±
0.
57
b
O
at
s
−
17
°C
12
.3
4
±
0.
48
c
2.
11
±
0.
25
b
0.
16
6
±
0.
02
0a
1.
21
±
0.
22
44
1.
8
±
26
.5
b
44
.9
±
3.
6c
28
.5
±
6.
3a
91
.6
±
5.
5a
4.
15
±
0.
25
a
O
at
s
−
85
°C
11
.5
6
±
0.
53
b
1.
33
±
0.
16
a
0.
14
8
±
0.
01
8a
<
0.
1
47
2.
8
±
28
.4
b
44
.8
±
3.
6c
30
.3
±
6.
7a
97
.2
±
5.
8a
4.
59
±
0.
28
a
Bu
ck
w
he
at
co
nt
ro
l
13
.4
9
±
0.
60
a
0.
59
±
0.
12
a
0.
01
7
±
0.
00
3a
1.
40
±
0.
08
a
70
±
39
a
22
.6
±
1.
1a
0.
87
±
0.
19
a
30
5
±
12
a
2.
35
±
0.
12
a
Bu
ck
w
he
at
U
S
1
14
.4
5
±
0.
61
a
0.
51
±
0.
10
a
0.
01
5
±
0.
00
3a
1.
36
±
0.
07
a
68
9
±
37
a
22
.5
±
1.
1a
0.
76
±
0.
14
a
30
8
±
12
a
2.
42
±
0.
12
a
Bu
ck
w
he
at
U
S
3
16
.0
9
±
0.
73
a
0.
41
±
0.
08
a
0.
01
4
±
0.
00
3a
1.
32
±
0.
07
a
66
8
±
37
a
22
.5
±
1.
1a
0.
63
±
0.
14
a
31
6
±
13
a
2.
51
±
0.
13
a
Bu
ck
w
he
at
U
S
5
18
.2
1
±
0.
79
b
0.
37
±
0.
08
a
0.
01
4
±
0.
00
3a
1.
29
±
0.
07
a
62
3
±
28
a
22
.5
±
1.
1a
0.
59
±
0.
14
a
33
8
±
14
a
2.
63
±
0.
13
a
Bu
ck
w
he
at
−
17
°C
17
.7
8
±
0.
78
b
0.
75
±
0.
08
b
0.
02
±
0.
00
4a
1.
41
±
0.
11
a
69
±
55
a
21
.1
±
1.
7a
1.
20
±
0.
28
b
35
7
±
29
a
2.
75
±
0.
22
a
Bu
ck
w
he
at
−
85
°C
12
.2
9
±
0.
49
a
0.
42
±
0.
08
a
0.
01
2
±
0.
00
2a
1.
28
±
0.
10
a
56
8
±
45
a
18
.1
±
1.
5a
1.
24
±
0.
29
b
31
1
±
25
a
2.
56
±
0.
2a
Le
nt
ils
co
nt
ro
l
35
.6
5
±
1.
69
a
0.
22
±
0.
04
a
0.
01
8
±
0.
00
4a
0.
65
±
0.
05
a
13
65
±
75
a
44
.5
±
2.
2a
0.
59
±
0.
13
a
16
9.
7
±
7.
4a
2.
63
±
0.
13
a
Le
nt
ils
U
S
1
25
.4
1
±
1.
16
b
0.
22
±
0.
04
a
0.
01
5
±
0.
00
3a
0.
66
±
0.
05
a
13
85
±
76
a
43
.2
±
2.
2a
0.
98
±
0.
21
b
16
3.
5
±
7.
4a
2.
56
±
0.
13
a
Le
nt
ils
U
S
3
23
.5
4
±
,1.
23
b
0.
22
±
0.
04
a
0.
01
4
±
0.
00
3a
0.
66
±
0.
05
a
13
99
±
76
a
42
.8
±
2.
2a
1.
12
±
0.
22
b
15
9.
6
±
7.
3a
2.
44
±
0.
13
a
Le
nt
ils
U
S
5
21
.4
6
±
1.
54
b
0.
22
±
0.
04
a
0.
01
4
±
0.
00
3a
0.
66
±
0.
05
a
14
15
±
78
a
41
.3
±
2.
2a
1.
14
±
0.
22
b
14
9.
6
±
7.
3a
2.
38
±
0.
13
a
Le
nt
ils
−
17
°C
32
.8
9
±
1.
54
a
0.
29
±
0.
04
a
0.
01
4
±
0.
00
3a
0.
77
±
0.
05
b
19
99
±
12
5b
48
.9
±
2.
3a
0.
92
±
0.
22
b
19
9.
6
±
17
.4
b
3.
04
±
0.
13
b
Le
nt
ils
−
85
°C
28
.5
7
±
1.
38
a
0.
39
±
0.
07
b
0.
02
1
±
0.
00
4a
0.
83
±
0.
07
b
24
42
±
19
5b
57
.9
±
4.
6b
0.
97
±
0.
22
b
23
2.
3
±
18
.2
b
3.
51
±
0.
28
b
Pe
a
co
nt
ro
l
13
.6
3
±
0.
57
a
<
0.
08
0.
01
3
±
0.
00
3a
0.
53
±
0.
04
a
88
5
±
71
a
30
.1
±
2.
4a
<
0.
5
12
0.
4
±
10
.2
a
1.
68
±
0.
13
a
Pe
a
U
S
1
14
.8
7
±
0.
56
a
<
0.
08
0.
01
±
0.
00
2a
0.
53
±
0.
04
a
87
±
56
a
29
.7
±
2.
3a
<
0.
5
11
9.
7
±
9.
1a
1.
65
±
0.
13
a
Pe
a
U
S
3
15
.4
5
±
0.
64
a
<
0.
08
0.
01
±
0.
00
2a
0.
50
±
0.
04
a
86
2
±
69
a
28
.3
±
2.
3a
<
0.
5
11
5.
8
±
9.
2a
1.
61
±
0.
13
a
Pe
a
U
S
5
16
.3
4
±
0.
53
b
<
0.
08
0.
01
±
0.
00
2a
0.
48
±
0.
04
a
85
6
±
65
a
27
.6
±
2.
3a
<
0.
5
11
0.
9
±
7.
4a
1.
57
±
0.
13
a
Pe
a
−
17
°C
17
.9
8
±
0.
79
b
0.
09
±
0.
01
0.
01
±
0.
00
2a
0.
42
±
0.
06
a
11
86
±
54
b
35
.7
±
2.
1b
<
0.
5
13
7.
8
±
8.
1b
1.
58
±
0.
09
a
Pe
a
−
85
°C
13
.0
1
±
0.
55
a
<
0.
08
0.
00
2
±
0.
00
1b
0.
47
±
0.
1a
11
64
±
56
b
36
.9
±
2.
2b
<
0.
5
13
9.
7
±
8.
1b
1.
59
±
0.
09
a
W
he
at
co
nt
ro
l
8.
08
±
0.
33
a
0.
58
±
0.
09
a
0.
11
8
±
0.
00
9a
<
0.
1
51
3
±
31
a
31
.4
±
1.
9a
3.
23
±
0.
48
a
78
.9
±
4.
7a
2.
78
±
0.
22
a
W
he
at
U
S
1
9.
22
±
0.
41
a
0.
63
±
0.
09
a
0.
11
8
±
0.
00
9a
<
0.
1
50
±
27
a
30
.1
±
1.
9a
3.
25
±
0.
48
a
72
.9
±
4.
2a
2.
71
±
0.
21
a
W
he
at
U
S
3
10
.8
7
±
0.
52
b
0.
71
±
0.
11
a
0.
11
7
±
0.
00
9a
<
0.
1
43
5
±
26
b
29
.5
±
1.
8a
3.
39
±
0.
51
a
68
.7
±
4.
1a
2.
63
±
0.
21
a
W
he
at
U
S
5
11
.1
8
±
0.
46
b
0.
79
±
0.
11
a
0.
11
7
±
0.
00
9a
<
0.
1
41
1
±
26
b
28
.4
5
±
1.
7a
3.
64
±
0.
51
a
65
.2
3
±
4.
1a
2.
60
±
0.
21
a
www.soci.org FV Lavrentev et al.
wileyonlinelibrary.com/jsfa © 2023 Society of Chemical Industry. J Sci Food Agric 2023
6
http://wileyonlinelibrary.com/jsfa
Ta
b
le
4.
C
on
tin
ue
d
Sa
m
pl
e
El
em
en
t
(m
g
kg
−
1
)p
la
nt
m
ilk
Fe
μ
g
kg
−
1
of
pl
an
t
m
ilk
A
l
Ba
B
K
C
a
Si
M
g
M
n
W
he
at
−
17
°C
11
.0
7
±
0.
55
b
1.
82
±
0.
22
b
0.
14
7
±
0.
01
8b
0.
54
±
0.
10
a
41
6.
5
±
25
.0
b
34
.6
±
2.
8a
4.
99
±
1.
10
b
61
.2
±
3.
7a
2.
46
±
0.
15
a
W
he
at
−
85
°C
7.
34
±
0.
35
a
1.
84
±
0.
22
b
0.
13
8
±
0.
01
7b
0.
57
±
0.
10
a
41
8.
6
±
25
.1
b
86
.4
±
6.
9b
4.
47
±
0.
98
b
49
.8
±
3.
0b
1.
87
±
0.
11
b
Sa
m
pl
e
El
em
en
t
(m
g
kg
−
1
)p
la
nt
m
ilk
C
u
M
o
N
a
Rb
Sr
P
C
r
Zn
Pu
m
pk
in
se
ed
co
nt
ro
l
1.
56
±
0.
08
a
0.
30
±
0.
02
a
3.
94
±
0.
71
a
0.
50
±
0.
04
a
0.
06
1
±
0.
00
5a
10
82
±
54
a
0.
01
2
±
0.
00
3a
4.
59
±
0.
37
a
Pu
m
pk
in
se
ed
U
S
1
1.
44
±
0.
07
a
0.
29
±
0.
02
a
4.
47
±
0.
80
b
0.
45
±
0.
04
a
0.
05
2
±
0.
00
4a
10
63
±
53
a
0.
00
7
±
0.
00
2a
4.
31
±
0.
34
a
Pu
m
pk
in
se
ed
U
S
3
1.
38
±
0.
06
a
0.
29
±
0.
02
a
5.
02
±
0.
69
b
0.
39
±
0.
04
b
0.
05
±
0.
00
4a
10
56
±
43
a
0.
00
7
±
0.
00
2a
4.
02
±
0.
29
a
Pu
m
pk
in
se
ed
U
S
5
1.
31
±
0.
05
a
0.
29
±
0.
02
a
5.
59
±
0.
71
b
0.
37
±
0.
03
b
0.
05
±
0.
00
4a
10
39
±
39
a
0.
00
7
±
0.
00
2a
3.
89
±
0.
27
a
Pu
m
pk
in
se
ed
−
17
°C
1.
94
±
0.
23
b
0.
35
±
0.
02
a
3.
21
±
0.
51
a
0.
93
±
0.
09
c
0.
09
6
±
0.
00
8b
14
07
±
11
2b
0.
04
6
±
0.
00
4b
6.
94
±
0.
56
b
Pu
m
pk
in
se
ed
−
85
°C
2.
01
±
0.
24
b
0.
41
±
0.
02
a
3.
79
±
0.
62
a
1.
12
±
0.
11
c
0.
11
7
±
0.
00
9b
16
72
±
13
4b
0.
00
8
±
0.
00
2a
7.
95
±
0.
64
c
Ri
ce
co
nt
ro
l
0.
13
±
0.
05
a
<
0.
03
2.
2
±
0.
4a
<
0.
05
0.
01
5
±
0.
00
2a
99
.4
±
3.
8a
0.
00
4
±
0.
00
2a
1.
06
±
0.
11
a
Ri
ce
U
S
1
0.
18
±
0.
05
a
<
0.
03
10
.2
±
1.
2b
<
0.
05
0.
02
5
±
0.
00
2a
81
.3
±
2.
9b
0.
01
2
±
0.
00
2a
1.
12
±
0.
11
a
Ri
ce
U
S
3
0.
30
±
0.
05
b
0.
03
3
±
0.
00
4a
20
.9
±
2.
1c
<
0.
05
0.
06
5
±
0.
00
5b
79
.2
±
5.
3b
0.
04
2
±
0.
00
3b
1.
30
±
0.
10
a
Ri
ce
U
S
5
0.
33
±
0.
05
b
0.
03
9
±
0.
00
4a
24
.5
±
2.
4c
<
0.
05
0.
07
3
±
0.
00
5b
73
.2
±
4.
8b
0.
04
6
±
0.
00
3b
1.
39
±
0.
10
a
Ri
ce
−
17
°C
0.
54
±
0.
08
c
0.
04
3
±
0.
00
5a
21
.2
±
2.
1c
<
0.
05
0.
06
4
±
0.
00
5b
87
.8
±
6.
9a
0.
06
6
±
0.
00
5c
1.
42
±
0.
11
a
Ri
ce
−
85
°C
0.
66
±
0.
08
c
0.
04
4
±
0.
00
5a
22
.9
±
2.
2c
<
0.
05
0.
06
6
±
0.
00
5b
10
2.
7
±
7.
9a
0.
04
1
±
0.
00
5b
1.
27
±
0.
10
a
O
at
s
co
nt
ro
l
0.
51
±
0.
04
a
0.
58
±
0.
05
a
36
6
±
44
a
0.
56
±
0.
04
a
0.
38
1
±
0.
03
a
24
6
±
20
a
0.
27
8
±
0.
02
8a
2.
99
±
0.
31
a
O
at
s
U
S
1
0.
59
±
0.
04
a
0.
70
±
0.
06
a
38
1
±
46
a
0.
57
±
0.
05
a
0.
43
4
±
0.
03
5a
31
1
±
25
a
0.
43
5
±
0.
04
4b
3.
42
±
0.
34
a
O
at
s
U
S
3
0.
62
±
0.
04
a
0.
82
±
0.
06
a
41
1
±
48
a
0.
58
±
0.
05
a
0.
51
5
±
0.
35
a
36
9
±
29
b
0.
56
2
±
0.
04
2b
4.
21
±
0.
38
b
O
at
s
U
S
5
0.
65
±
0.
04
a
0.
89
±
0.
06
b
45
6
±
49
a
0.
58
±
0.
05
a
0.
53
9
±
0.
35
a
39
9
±
31
b
0.
59
9
±
0.
05
2b
4.
89
±
0.
39
b
O
at
s
−
17
°C
0.
43
±
0.
04
a
<
0.
05
10
5.
4
±
10
.5
b
0.
75
±
0.
08
b
0.
22
4
±
0.
01
8b
32
8
±
26
a
0.
34
1
±
0.
02
7a
3.
95
±
0.
40
b
O
at
s
−
85
°C
0.
43
±
0.
04
a
<
0.
05
15
8.
1
±
15
.8
b
0.
80
±
0.
08
b
0.
22
2
±
0.
01
8b
37
±
30
b
0.
38
5
±
0.
03
1a
3.
75
±
0.
38
a
Bu
ck
w
he
at
co
nt
ro
l
1.
11
±
0.
06
a
0.
09
±
0.
01
a
5.
68
±
1.
02
a
1.
14
±
0.
09
a
0.
02
8
±
0.
00
2a
69
4
±
35
a
0.
05
1
±
0.
00
6a
4.
90
±
0.
39
a
Bu
ck
w
he
at
U
S
1
1.
01
±
0.
05
a
0.
09
±
0.
01
a
3.
78
±
0.
78
a
1.
10
±
0.
09
a
0.
02
8
±
0.
00
2a
70
±
35
a
0.
03
4
±
0.
00
5a
4.
80
±
0.
38
a
Bu
ck
w
he
at
U
S
3
1.
01
±
0.
05
a
0.
10
±
0.
01
a
2.
42
±
0.
44
b
1.
05
±
0.
09
a
0.
03
±
0.
00
2a
70
5
±
35
a
0.
01
5
±
0.
00
3b
4.
79
±
0.
38
a
Bu
ck
w
he
at
U
S
5
1.
01
±
0.
05
a
0.
10
±
0.
01
a
2.
04
±
0.
39
b
1.
05
±
0.
09
a
0.
03
±
0.
00
2a
71
2
±
37
a
0.
01
5
±
0.
00
3b
4.
74
±
0.
36
a
Bu
ck
w
he
at
−
17
° C
1.
08
±
0.
09
a
0.
09
±
0.
01
a
1.
84
±
0.
28
b
1.
03
±
0.
10
a
0.
03
4
±
0.
00
3a
73
8
±
37
a
0.
01
3
±
0.
00
2b
5.
18
±
0.
41
a
Bu
ck
w
he
at
−
85
°C
0.
92
±
0.
07
a
0.
08
±
0.
01
a
1.
2
±
0.
18
c
0.
91
±
0.
14
a
0.
02
5
±
0.
00
2a
66
3
±
33
a
0.
00
7
±
0.
00
2b
4.
75
±
0.
38
a
Le
nt
ils
co
nt
ro
l
1.
98
±
0.
10
a
0.
84
±
0.
07
a
5.
6
±
1.
01
a
3.
14
±
0.
25
a
0.
07
3
±
0.
00
6a
90
2
±
45
a
0.
00
5
±
0.
00
2
8.
85
±
0.
71
a
Le
nt
ils
U
S
1
1.
91
±
0.
10
a
0.
78
±
0.
06
a
4.
58
±
0.
82
a
3.
37
±
0.
27
a
0.
06
2
±
0.
00
5a
89
1
±
45
a
<
0.
00
3
8.
52
±
0.
68
a
Le
nt
ils
U
S
3
1.
88
±
0.
10
a
0.
70
±
0.
06
a
4.
11
±
0.
42
b
3.
57
±
0.
27
a
0.
06
2
±
0.
00
5a
85
5
±
45
a
<
0.
00
3
8.
21
±
0.
66
a
Le
nt
ils
U
S
5
1.
79
±
0.
11
a
0.
64
±
0.
05
a
4.
01
±
0.
39
b
3.
60
±
0.
27
a
0.
06
2
±
0.
00
5a
83
2
±
39
a
<
0.
00
3
8.
01
±
0.
58
a
Le
nt
ils
−
17
°C
2.
1
±
0.
21
a
0.
79
±
0.
06
a
4.
01
±
0.
35
b
3.
31
±
0.
26
a
0.
06
2
±
0.
00
5a
99
9
±
51
b
<
0.
00
3
10
.2
1
±
0.
72
b
Le
nt
ils
−
85
°C
2.
91
±
0.
23
b
0.
73
±
0.
06
a
3.
65
±
0.
35
b
3.
62
±
0.
36
a
0.
05
7
±
0.
00
5a
12
80
±
64
c
<
0.
00
3
11
.7
5
±
0.
94
b
Pe
a
co
nt
ro
l
0.
92
±
0.
07
a
0.
24
±
0.
02
a
0.
91
±
0.
14
a
0.
83
±
0.
08
a
0.
03
3
±
0.
00
3a
39
2
±
,20
a
0.
00
8
±
0.
00
2a
4.
33
±
0.
35
a
Pe
a
U
S
1
0.
90
±
0.
07
a
0.
24
±
0.
02
a
0.
91
±
0.
14
a
0.
80
±
0.
08
a
0.
03
±
0.
00
3a
38
±
17
a
0.
00
7
±
0.
00
2a
4.
18
±
0.
33
a
Pe
a
U
S
3
0.
89
±
0.
07
a
0.
26
±
0.
02
a
0.
94
±
0.
14
a
0.
77
±
0.
08
a
0.
02
9
±
0.
00
2a
37
5
±
19
a
0.
00
7
±
0.
00
2a
4.
07
±
0.
33
a
Influence of pre-treatment methods on plant milk www.soci.org
J Sci Food Agric 2023 © 2023 Society of Chemical Industry. wileyonlinelibrary.com/jsfa
7
http://wileyonlinelibrary.com/jsfa
cavitation at the molecular level is accompanied by partial denatur-
ation of proteins and conformational changes in secondary and ter-
tiary structures.40,41 The proteins are unraveled and hydrophobic
cores rich in phenylalanine, tyrosine and tryptophan are exposed,
which increases the hydrophobicity of the surface.42 With an
increase in the time of sonication, a decrease in the yield of dry sub-
stances is observed by an average of 10%, as well as carbohydrates
by an average of 20% (Table 3). This fact may be associated with the
destruction of cell walls and the subsequent hydrolysis of polysac-
charides due to ultrasonic shear forces initiated by ultrasonic cavita-
tion.43 However, in oats and wheat, on the contrary, an increase in
the mass fraction of dry substances (from 148.3 to 153.3 g kg−1
and from 63.1 to 72.1 g kg−1, respectively), as well as carbohydrates
(from 113.2 to 131.4 g kg−1 and from 32.7 to 44.6 g kg−1, respec-
tively), is observed, which is probably associated with a change in
the moisture-binding ability of ⊎-glucans and the capillary effect.44
Depending on the type of raw materials used, ultrasonic treatment
can have either a considerable effect or do not on the yield of poly-
phenols, whichmakes it possible to use this type of pre-treatment in
the production of functional food products.
The destruction of cells that occurs during freezing and frozen
storage can lead to the release of biologically active substances
and their degradation due to chemical and enzymatic oxidation
reactions, which is likely to lead to a decrease in the antioxidant
properties of the finished product compared to the original raw
material.45-47 Freezing combines the preservative effect of low
temperature with immobilization by crystallization of water as
ice to the extent that it is not available either as a solvent or as
a reactive component. Lowering the temperature below the
freezing point of the product makes it possible to inhibit the
metabolic processes that occur after harvesting and slows down
the kinetics of microbiological growth and qualitative degrada-
tion reactions.45,48 Although the low temperatures used in
freezing processes can reduce the kinetic energy of the reac-
tants, they can have an ambiguous effect on oxidation reac-
tions, since both the increase in oxygen solubility at low
temperatures and the concentration of reactants in the unfro-
zen phase of the system and the crystallization of amorphous
solutes can promote chemical and enzymatic oxidation reac-
tions. Moreover, pre-freezing, commonly used to preserve the
quality of frozen foods through enzymatic inactivation, can
degrade cell structure, resulting in inevitable deterioration in
quality, including discoloration, loss of moisture, softening,
and loss of nutrients and biologically active compounds.49,50
Previous studies have shown that freezing operations can also
have a positive effect on the quality and functional properties of
plant products, since the frozen state can promote the release
of biologically active compounds in the form of bound phenolic
acids and anthocyanins, resulting in increased antioxidant activ-
ity.51-53 According to Table 3, it can be seen that the preliminary
freezing of vegetable raw materials does not have an unambigu-
ous effect on its various types. Perhaps this fact is associated with
the native composition of plant cells, the content of polysaccha-
ride substances that can act as a cryoprotectant and the initial
moisture content of the raw material. Thus, for example, there is
a pattern: the higher the mass fraction of carbohydrates in the
feedstock, the lower the yield of polyphenolic compounds, carbo-
hydrates and protein. Probably, the high content of complex
sugars prevents the formation of large ice crystals and, as a result,
the destructive processes of the cell walls of the plant cell. At the
same time, at a freezing temperature of −17 °C, a higher yield of
solids is observed than at −85 °C. This fact is probably due to
Ta
b
le
4.
C
on
tin
ue
d
Sa
m
pl
e
El
em
en
t
(m
g
kg
−
1
)p
la
nt
m
ilk
C
u
M
o
N
a
Rb
Sr
P
C
r
Zn
Pe
a
U
S
5
0.
89
±
0.
07
a
0.
27
±
0.
13
a
0.
99
±
0.
14
a
0.
73
±
0.
08
a
0.
02
9
±
0.
00
2a
36
4
±
17
a
0.
00
7
±
0.
00
2a
3.
97
±
0.
31
a
Pe
a
−
17
°C
1.
3
±
0.
15
b
0.
43
±
0.
02
b
2.
89
±
0.
5b
0.
78
±
0.
07
a
0.
04
2
±
0.
00
3b
47
8
±
28
b
0.
00
7
±
0.
00
3a
3.
63
±
0.
29
a
Pe
a
−
85
°C
1.
25
±
0.
15
b
0.
49
±
0.
02
b
4.
02
±
0.
5b
0.
81
±
0.
07
a
0.
04
5
±
0.
00
3b
72
2
±
58
b
0.
01
3
±
0.
00
1a
3.
98
±
0.
30
a
W
he
at
co
nt
ro
l
0.
48
±
0.
03
a
0.
09
±
0.
01
a
9.
33
±
1.
12
a
0.
45
±
0.
04
a
0.
08
8
±
0.
00
7a
28
7
±
23
a
0.
01
±
0.
00
2a
2.
47
±
0.
25
a
W
he
at
U
S
1
0.
39
±
0.
02
a
0.
09
±
0.
01
a
5.
23
±
0.
48
b
0.
40
±
0.
03
a
0.
08
8
±
0.
00
7a
27
7
±
22
a
0.
00
7
±
0.
00
2a
2.
53
±
0.
27
a
W
he
at
U
S
3
0.
27
±
0.
02
b
0.
09
±
0.
01
a
3.
65
±
0.
44
b
0.
37
±
0.
03
a
0.
09
±
0.
00
7a
26
9
±
22
a
0.
00
7
±
0.
00
2a
2.
73
±
0.
27
a
W
he
at
U
S
5
0.
23
±
0.
02
b
0.
09
±
0.
01
a
3.
11
±
0.
40
b
0.
35
±
0.
03
a
0.
09
±
0.
00
7a
26
1
±
20
a
0.
00
7
±
0.
00
2a
2.
91
±
0.
27
a
W
he
at
−
17
°C
0.
32
±
0.
03
b
<
0.
05
3.
4
±
0.
5b
0.
20
±
0.
02
b
0.
17
±
0.
01
4b
17
8
±
18
b
0.
02
1
±
0.
00
4b
4.
02
±
0.
40
b
W
he
at
−
85
°C
0.
24
±
0.
02
b
<
0.
05
17
.5
±
2.
1c
0.
21
±
0.
02
b
0.
16
2
±
0.
01
3b
14
5
±
15
b
0.
01
4
±
0.
00
4a
4.
26
±
0.
43
b
N
ot
e:
Va
lu
es
in
th
e
sa
m
e
co
lu
m
n
fo
llo
w
ed
by
di
ff
er
en
t
le
tt
er
s
di
ff
er
si
gn
ifi
ca
nt
ly
(P
≤
0.
05
).
Th
e
re
su
lts
ar
e
ex
pr
es
se
d
as
m
ea
ns
±
st
an
da
rd
de
vi
at
io
n
(S
D
).
Be
,V
a,
le
ss
th
an
0.
1
m
g
kg
−
1
;C
o,
le
ss
th
an
0.
2
m
g
kg
−
1
.
A
bb
re
vi
at
io
n:
U
S,
ul
tr
as
ou
nd
.
www.soci.org FV Lavrentev et al.
wileyonlinelibrary.com/jsfa © 2023 Society of Chemical Industry. J Sci Food Agric 2023
8
http://wileyonlinelibrary.com/jsfa
Figure 2. Profilogram of the results of organoleptic evaluation. Organoleptic evaluation of plant milk samples from (a) peas, (b) buckwheat, (c) oats,
(d) wheat, (e) rice, (f ) pumpkin and (g) lentils after various pre-treatments of raw materials: control; ultrasound 1 min; ultrasound 3 min;
ultrasound 5 min; freeze −17 °C; and freeze −85 °C; for 17 sensory characteristics, including preference.
Influence of pre-treatment methods on plant milk www.soci.org
J Sci Food Agric 2023 © 2023 Society of Chemical Industry. wileyonlinelibrary.com/jsfa
9
http://wileyonlinelibrary.com/jsfa
the difference in the processes of moisture crystal formation.54 At
higher freezing temperatures, the number of moisture crystal
nuclei is less than at low values (−85 °C); moisture crystals have
a large dimension and are heterogeneous in size and shape.
Uneven crystallization of moisture leads to the disruption of cellu-
lar structures with the release of biologically active substances
and nutritional factors.
Pre-treatment of vegetable raw materials affects the increase or
decrease in the content of various mineral components in plant
milk.55,56 We have studied the effect of preliminary ultrasonic
treatment and cryopreservation of pumpkin seeds, rice, oats,
buckwheat, lentils, peas and wheat on the mineral composition
of plant milk (Table 4). The microelements Fe, Al, Ba, B, K, Ca, Si,
Mg, Mn, Cu, Mo, Na, Rb, Sr, P, Cr,
,Zn, Be, Va and Co were measured
in plant milk. The milk production from seeds included soaking,
blanching, wet grinding and filtering to separate the solid residue.
Ultrasound is perceived as harmless compared to other proces-
sing methods such as microwaves, gamma radiation and pulsed
electric field; thus cavitation had a positive effect on the extrac-
tion of some biologically active substances of pumpkin seeds,
which led to an increase in the performance of some elements
of the produced plant milk.57 There was a tendency to increase
the iron content for all types of the studied raw materials, except
for lentils, during sonication over time compared to the control
sample (Table 4). At the same time, a significant increase in iron
content was observed in samples from pumpkin seeds (from
12.61 to 26.11 μg kg−1). As the sonication time increased, the iron
content increased by an average of 10–15% for all types of raw
materials, except for lentils (decrease from 35.65 to
21.46 μg kg−1), where a decrease of 30%was observed compared
to the sample without pre-treatment. Presumably, this may be
due to the higher cell wall thickness of lentils, which affects the
release of certain micronutrients.58 The positive effect of ultra-
sound was observed during the pre-treatment of oats since an
increase in all microelements in vegetable milk was observed. In
some instances, an increase in sodium, silicon and molybdenum
was observed, but there was no general trend among various
raw materials. Also, sonication induces the activation of multiple
enzymes, such as the phenylpropanoid pathway and hydrolysis
of cell wall polysaccharides, which causes the release of phenols
associated with the cell wall, which can lead to an increase in phe-
nolic compounds in plant milk.59 Polyphenolic compounds, in
turn, inhibit the activity of enzymes containing molybdenum.60
However, all other trace elements did not change significantly
depending on the method of processing raw materials. Perhaps
this is due to the fact that pulsed ultrasonic radiation is considered
more energy efficient than continuous ultrasonic exposure during
the extraction process.61 Preliminary slow freezing of raw mate-
rials affects the release of biologically active substances during
processing due to the formation of large, spear-shaped ice crys-
tals in the extracellular regions of the frozen raw materials, which
leads to the destruction of fibers and cell walls and the unhin-
dered release of various substances.51 An increase in the content
of microelements in vegetable milk was observed due to damage
to the cellular structures of vegetable rawmaterials in the process
of preliminary freezing at a temperature regime of −17 and –85 °
C. There was a trend toward an increase in all biologically active
substances in vegetable milk from pumpkin seeds, rice, oats,
buckwheat, lentils, peas and wheat. The highest percentage
increase (from 30% to 100% depending on the plant material)
was observed in microelements Fe, K, Zn, Ca, Mg, Si and
P. However, in some instances, the freezing mode at −85 °C was
less effective compared to the mode at −17 °C, due to faster
freezing, which affected the decrease in the content of microele-
ments in plant milk (on average by 15–20%).
Pre-treatment of vegetable raw materials can also affect the
organoleptic properties of the product. Sensory evaluation in
the food industry is an important characteristic. Despite all the
benefits of the product, if its organoleptic properties are not high
such a product will not be in demand. Plant milk samples
obtained by five processing methods were compared with each
other to identify correlations between the processing method
and sensory descriptors. In doing so, each sample was also com-
pared to a control sample, to identify flaws in the
descriptors – that is, characteristics that are enhanced by proces-
sing (Fig. 2). After processing the tasting sheets, profilograms
reflecting 17 descriptors, including preference, were constructed.
Despite the fact that each raw material exhibits different charac-
teristics of sensory properties, a similar effect of the processing
method on the descriptors can be identified.
For the production of plant milk, preference is given to those
raw materials that have a weak taste and aftertaste of raw mate-
rials compared to the control sample – that is, the one that has
not been subjected to any treatment. Thus, ultrasound treatment
reduces sweet aftertaste in wheat and lentils but practically does
not change this descriptor in peas and pumpkin. It is worth noting
that ultrasound exposure throughout increases the salty taste in
wheat and peas. In lentils, the salty taste increases after −17 °C
freezing. The aftertaste of lentils and peas is most affected by
freezing, both at −17 °C and at −85 °C; however, in wheat and
oats, sonication for 5 min has a greater effect on the aftertaste,
and reducing the processing time increases bitter aftertaste. It is
worth noting, however, that in wheat ultrasound treatment
increases the bitter aftertaste compared to the control sample.
Also, in oats and wheat the viscosity is practically unaffected by
any treatment, while in pumpkin seeds, on the contrary, almost
all types increase the product's viscosity. Thus, ultrasound treat-
ment for 3 min has the greatest effect on the preference for lentil,
pumpkin, rice and pea milk. On the other hand, ultrasound treat-
ment for 1 min increases the preference for wheat and oat milk.
CONCLUSIONS
In summary, pre-treatment methods such as ultrasonic treatment
and cryopreservation can significantly impact physicochemical
characteristics, mineral composition and organoleptic properties
of plant milk. Ultrasonic processing makes it possible to increase
the extraction of biologically active substances, to increase the
content of certain elements and polyphenols in vegetable milk,
which is a favorable factor in the industrial production of plant
milk. Maximizing nutrient extraction ensures that the product
meets their expectations regarding taste, texture and nutritional
content. However, the processing method can affect the sensory
descriptors of plant milk. Preference is given to products with a
weak taste and aftertaste of vegetable raw materials, and ultra-
sound treatment for 3 min has the most significant effect on the
preference for plant milk. Usually, cryopreservation in food pro-
duction is used to preserve the freshness and quality of rawmate-
rials; however, it is possible to use this approach in order to
achieve maximum nutrient extraction in the production of
plant-based milk. In turn, freezing can have both positive and
negative effects on the quality and nutritional value of plant milk.
While it can slow down degradation and preserve nutrients, it can
also lead to the degradation of biologically active substances and
www.soci.org FV Lavrentev et al.
wileyonlinelibrary.com/jsfa © 2023 Society of Chemical Industry. J Sci Food Agric 2023
10
http://wileyonlinelibrary.com/jsfa
antioxidants. Cryopreservation can also increase the content of
microelements in vegetable milk, but the freezing mode at
−85 °C may be less effective than the mode at −17 °C. The effect
of freezing on plant milk may depend on factors such as the com-
position of the raw material, the freezing temperature and the
moisture content. Overall, pre-treatment methods can optimize
the nutritional value and improve the taste of plant milk. The
results of the study can be used to predict and adjust the compo-
sition of vegetable milk and create products with a given
composition on a plant basis.
ACKNOWLEDGEMENT
The authors acknowledge RSF grant no 22-26-00288 for financial
support.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial
interests or personal relationships that could have appeared to
influence the work reported in this paper.
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from
the corresponding author upon reasonable
,request.
REFERENCES
1 Siró I, Kápolna E, Kápolna B and Lugasi A, Functional food. Product
development, marketing and consumer acceptance—a review.
Appetite 51:456–467 (2008).
2 DoyonM and Labrecque J, Functional foods: a conceptual definition. Br
Food J 110:1133–1149 (2008).
3 Topolska K, Florkiewicz A and Filipiak-Florkiewicz A, Functional food—
consumer motivations and expectations. Int J Environ Res Public
Health 18:5327 (2021).
4 Henchion M, Hayes M, Mullen A, Fenelon M and Tiwari B, Future pro-
tein supply and demand: strategies and factors influencing a sus-
tainable equilibrium. Foods 6:53 (2017).
5 Corsello A, Pugliese D, Gasbarrini A and Armuzzi A, Diet and nutrients
in gastrointestinal chronic diseases. Nutrients 12:2693 (2020).
6 Willett W, Rockström J, Loken B, Springmann M, Lang T, Vermeulen S
et al., Food in the Anthropocene: the EAT–lancet commission on
healthy diets from sustainable food systems. Lancet 393:447–492
(2019).
7 Oh YJ, Nam K, Kim Y, Lee SY, Kim HS, Kang J i et al., Effect of a nutrition-
ally balanced diet comprising whole grains and vegetables alone or
in combination with probiotic supplementation on the gut micro-
biota. Prev Nutr Food Sci 26:121–131 (2021).
8 Beal T, Massiot E, Arsenault JE, Smith MR and Hijmans RJ, Global trends
in dietary micronutrient supplies and estimated prevalence of inad-
equate intakes. PLoS ONE 12:0175554 (2017).
9 Leroy F, Beal T, Gregorini P, McAuliffe GA and Vliet S v, Nutritionism in a
food policy context: the case of ‘animal protein’. Anim Prod Sci 62:
712–720 (2022).
10 Poore J and Nemecek T, Reducing food's environmental impacts
through producers and consumers. Science 360:987–992 (2018).
11 Springmann M, Clark M, Mason-D'Croz D, Wiebe K, Bodirsky BL,
Lassaletta L et al., Options for keeping the food system within envi-
ronmental limits. Nature 562:519–525 (2018).
12 Jeske S, Zannini E and Arendt EK, Evaluation of physicochemical and
Glycaemic properties of commercial plant-based Milk substitutes.
Plant Foods Hum Nutr 72:26–33 (2017).
13 Tangyu M, Muller J, Bolten CJ and Wittmann C, Fermentation of plant-
based milk alternatives for improved flavour and nutritional value.
Appl Microbiol Biotechnol 103:9263–9275 (2019).
14 Silva ARA, Silva MMN and Ribeiro BD, Plant-based milk products, in
Future Foods: Global Trends, Opportunities, and Sustainability
Challenge. In R. Bhat (Ed.). Academic Press, United States, pp. 233–
249 (2022).
15 Aydar EF, Tutuncu S and Ozcelik B, Plant-based milk substitutes: bioac-
tive compounds, conventional and novel processes, bioavailability
studies, and health effects. J Funct Foods 70:103975 (2020).
16 McClements DJ and Gumus CE, Natural emulsifiers — biosurfactants,
phospholipids, biopolymers, and colloidal particles: molecular and
physicochemical basis of functional performance. Adv Colloid Inter-
face Sci 234:3–26 (2016).
17 McClements DJ, Development of next-generation nutritionally forti-
fied plant-based Milk substitutes: structural design principles. Foods
9:421 (2020).
18 WanMLY, Co VA and El-Nezami H, Endocrine disrupting chemicals and
breast cancer: a systematic review of epidemiological studies. Crit
Rev Food Sci Nutr 62:6549–6576 (2022).
19 AstolfiML, Marconi E, Protano C and Canepari S, Comparative elemen-
tal analysis of dairy milk and plant-based milk alternatives. Food
Control 116:107327 (2020).
20 Vanga SK and Raghavan V, How well do plant based alternatives fare
nutritionally compared to cow's milk? J Food Sci Technol 55:10–20
(2018).
21 Biswas S, Sircar D, Mitra A and De B, Phenolic constituents and antiox-
idant properties of some varieties of Indian rice. Nutr Food Sci 41:
123–135 (2011).
22 Friedman M, Nutritional value of proteins from different food sources.
A review. J Agric Food Chem 44:6–29 (1996).
23 McClements DJ, Newman E and McClements IF, Plant-based milks: a
review of the science underpinning their design, fabrication, and
performance. Compr Rev Food Sci Food Saf 18:2047–2067 (2019).
24 Bocker R and Silva EK, Innovative technologies for manufacturing
plant-based non-dairy alternative milk and their impact on
nutritional, sensory and safety aspects. Future Foods 5:100098
(2022).
25 Egorova EY, Khmelev VN, Morozhenko YV and Reznichenko IY, Produc-
tion of vegetable “milk” from oil cakes using ultrasonic cavitation.
Foods Raw Mater 5:24–35 (2017).
26 Maghsoudlou Y, Alami M, Mashkour M and Shahraki MH, Optimization
of ultrasound-assisted stabilization and formulation of almond Milk.
J Food Process Preserv 40:828–839 (2016).
27 Salve AR, Pegu K and Arya SS, Comparative assessment of high-
intensity ultrasound and hydrodynamic cavitation processing on
physico-chemical properties and microbial inactivation of peanut
milk. Ultrason Sonochem 59:104728 (2019).
28 Bi X, Hemar Y, Balaban MO and Liao X, The effect of ultrasound on par-
ticle size, color, viscosity and polyphenol oxidase activity of diluted
avocado puree. Ultrason Sonochem 27:567–575 (2015).
29 Aslan D and Dogan M, The influence of ultrasound on the stability of
dairy-based, emulsifier-free emulsions: rheological and morpholog-
ical aspect. Eur Food Res Technol 244:409–421 (2018).
30 Sarangapany AK, Murugesan A, Annamalai AS, Balasubramanian A and
Shanmugam A, An overview on ultrasonically treated plant-based
milk and its properties – a review. Appl Food Res 2:100130 (2022).
31 Rousseau S, Kyomugasho C, Celus M, Hendrickx MEG and Grauwet T,
Barriers impairing mineral bioaccessibility and bioavailability in
plant-based foods and the perspectives for food processing. Crit
Rev Food Sci Nutr 60:826–843 (2020).
32 Liu Z-S and Chang SKC, Nutritional profile and physicochemical prop-
erties of commercial SOYMILK. J Food Process Preserv 37:651–661
(2013).
33 AOAC, Official Method of Analysis, 18th edn. Association of Officiating
Analytical Chemists, Washington DC (2005).
34 AACC, Approved Methods of the American Association of Cereal Chem-
ists, 10th edn. AACC, St. Paul, MN (2000).
35 ISO 8262-2, Milk products and milk-based foods — determination of fat
content by the Weibull-Berntrop gravimetric method (reference
method)—part 2: edible ices and ice-mixes. The International Organi-
zation for Standardization, Geneva (2005).
36 dos Goes ESR, de Souza MLR, Michka JMG, Kimura KS, de Lara JAF,
Delbem ACB et al., Fresh pasta enrichment with protein concentrate
of tilapia: nutritional and sensory characteristics. Food Sci Technol 36:
76–82 (2016).
37 Rodríguez-Roque MJ, Rojas-Graü MA, Elez-Martínez P and Martín-
Belloso O, Soymilk phenolic compounds, isoflavones and antioxi-
dant activity as affected by in vitro gastrointestinal digestion. Food
Chem 136:206–212 (2013).
Influence of pre-treatment methods on plant milk www.soci.org
J Sci Food Agric 2023 © 2023 Society of Chemical Industry. wileyonlinelibrary.com/jsfa
11
http://wileyonlinelibrary.com/jsfa
38 Silventoinen P and Sozer N, Impact of ultrasound treatment and pH-
shifting on physicochemical properties of protein-enriched barley
fraction and barley protein isolate. Foods 9:1055 (2020).
39 Zhang H, Chen G, Liu M, Mei X, Yu Q and Kan J, Effects of multi-
frequency ultrasound on physicochemical properties, structural
characteristics of gluten protein and the quality of noodle. Ultrason
Sonochem 67:105135 (2020).
40 Thirunavookarasu N, Kumar S, Anandharaj A and Rawson A, Effect of
ultrasonic cavitation on the formation of soy protein isolate – rice
starch complexes, and the characterization and prediction of inter-
action sites using molecular techniques. Heliyon 8:e10942 (2022).
41 Kang S, Zhang J, Guo X, Lei Y and Yang M, Effects of ultrasonic treat-
ment on the structure, Functional properties of chickpea protein iso-
late and its digestibility In vitro. Foods 11:880 (2022).
42 Sengar AS, Thirunavookarasu N, Choudhary P, Naik M, Surekha A,
Sunil CK et al., Application of power ultrasound for plant protein
extraction, modification and allergen reduction – a review. Appl
Food Res 2:100219 (2022).
43 Vela AJ, Villanueva M, Solaesa
,ÁG and Ronda F, Impact of high-
intensity ultrasound waves on structural, functional, thermal and
rheological properties of rice flour and its biopolymers structural
features. Food Hydrocoll 113:106480 (2021).
44 Popova N, Potoroko I, Kretova Y, Ruskina A, Tsirulnichenko L and Kalinina I,
Effect of ultrasonic treatment on the dissolution ofmilk solids during the
reconstitution of skim milk powder. Agron Res 17:1414–1423 (2019).
45 Neri L, FaietaM, di Mattia C, Sacchetti G, Mastrocola D and Pittia P, Anti-
oxidant activity in frozen plant foods: effect of cryoprotectants,
freezing process and frozen storage. Foods 9:1886 (2020).
46 Leong SY and Oey I, Effects of processing on anthocyanins, caroten-
oids and vitamin C in summer fruits and vegetables. Food Chem
133:1577–1587 (2012).
47 MullenW, Stewart AJ, LeanMEJ, Gardner P, DuthieGGandCrozier A, Effect of
freezingandstorageonthephenolics, ellagitannins,flavonoids, andantiox-
idant capacity of red raspberries. J Agric Food Chem 50:5197–5201 (2002).
48 Püssa T, Nutritional and Toxicological Aspects of the Chemical
Changes of Food Components and Nutrients During Freezing, in
Handbook of Food Chemistry. Springer Berlin Heidelberg, Berlin,
Heidelberg, pp. 1–23 (2015).
49 Bonat Celli G, Ghanem A and Su-Ling BM, Influence of freezing process
and frozen storage on the quality of fruits and fruit products. Food
Rev Intl 32:280–304 (2016).
50 Paciulli M, Ganino T, Pellegrini N, Rinaldi M, Zaupa M, Fabbri A et al.,
Impact of the industrial freezing process on selected vegetables—
part I. Structure, texture and antioxidant capacity. Food Res Int 74:
329–337 (2015).
51 Li D, Zhu Z and Sun D-W, Effects of freezing on cell structure of fresh
cellular food materials: a review. Trends Food Sci Technol 75:46–55
(2018).
52 Cardello AV, Consumer concerns and expectations about novel food
processing technologies: effects on product liking☆. Appetite 40:
217–233 (2003).
53 Manzocco L, Nicoli MC, Anese M, Pitotti A and Maltini E, Polypheno-
loxidase and peroxidase activity in partially frozen systems
with different physical properties. Food Res Int 31:363–370
(1998).
54 Ullah J, Takhar PS and Sablani SS, Effect of temperature fluctuations on
ice-crystal growth in frozen potatoes during storage. LWT-Food Sci
Technol 59:1186–1190 (2014).
55 Chemat F, Zill-e-Huma and Khan MK, Applications of ultrasound in
food technology: processing, preservation and extraction. Ultrason
Sonochem 18:813–835 (2011).
56 Lisiewska Z, Słupski J, Kmiecik W and Gębczyński P, Availability of
essential and trace elements in frozen leguminous vegetables pre-
pared for consumption according to the method of pre-freezing
processing. Food Chem 106:576–582 (2008).
57 Kentish S and Ashokkumar M, The Physical and Chemical Effects of
Ultrasound. Springer+Business Media, LCC., New York, pp. 1–12
(2011).
58 Guillermic R-M, Aksoy EC, Aritan S, Erkinbaev C, Paliwal J and Koksel F,
X-ray microtomography imaging of red lentil puffed snacks: proces-
sing conditions, microstructure and texture. Food Res Int 140:109996
(2021).
59 Singh A and Sharma S, Bioactive components and functional proper-
ties of biologically activated cereal grains: a bibliographic review.
Crit Rev Food Sci Nutr 57:3051–3071 (2017).
60 Freeland-Graves JH, Sanjeevi N and Lee JJ, Global perspectives on
trace element requirements. J Trace Elem Med Biol 31:135–141
(2015).
61 Hashemi SMB, Michiels J, Asadi Yousefabad SH and Hosseini M, Kol-
khoung (Pistacia khinjuk) kernel oil quality is affected by different
parameters in pulsed ultrasound-assisted solvent extraction. Ind
Crops Prod 70:28–33 (2015).
www.soci.org FV Lavrentev et al.
wileyonlinelibrary.com/jsfa © 2023 Society of Chemical Industry. J Sci Food Agric 2023
12
http://wileyonlinelibrary.com/jsfa
Influence of pre-treatment methods on quality indicators and mineral composition of plant milk from different sources of ra...
INTRODUCTION
MATERIALS AND METHODS
Materials
Methods
General aspects of plant milk production
Special aspects of plant milk production
Pumpkin seed milk and lentil milk production
Pea milk production
Oat milk and wheat milk production
Rice milk production
Green buckwheat milk production
Physicochemical analyses
Mineral content
Sensory evaluation
Statistical analysis
RESULTS AND DISCUSSION
CONCLUSIONS
ACKNOWLEDGEMENT
CONFLICT OF INTEREST
DATA AVAILABILITY STATEMENT
REFERENCES