Inductively coupled plasma (ICP) is one of a plasma source which upan class="Chemical">ses an energy
provided by electrical current from electromagnetic induction. ICP has been applied
in an analytic technique to quantify element concentrations. Emission spectrometers
using ICP is an important tool for analyzing multi-element determinants and often
used to analyze trace elements in biological specimen [1-3]. Plasma is an
ionized gas and a variety of samples can be introduced into plasma. For that,
samples should be prepared according to the physical property [4,5]. Aqueous samples need
no additional process to be introduced into a plasma and only ensured to be in
solution by nitric acid (HNO3). Solid samples are not able to be
introduced into the plasma directly. Typically, acid digestion is used to dissolve
solid samples. Dissolution of solid samples is usually performed by hot acid
digestion. Solid biological samples like hairs need to be digested by chemicals as
strong acid(s) or alkali to dissolve it [5].
Nutritional elements in vivo has been focupan class="Chemical">sed to investigate the
relationship with the physiological functions in the body [6,7]. Nutritional elements
are accumulated in blood, bones, muscles and skins and can be measured [8-10]. For example, blood and urine tests have been used to detect
minerals which are considered as a parameter for nutritional status or heavy metal
contamination [11-14]. However, blood can be easily affected by
daily diets and it is difficult to trace the progress of a certain contamination. In
addition, urine test detects only excreted minerals that it is not possible to
estimate minerals in vivo. Hair can be the biological source to
investigate hazardous or essential nutrient elements which are accumulated in hairs
[15]. In particular, hairs are relatively
stable and not easily altered. Moreover, hairs contain high concentration of
elements compared to blood and urine, besides the easiness to obtain hair samples
[7,16].
Minerals are essential comical">ponents to maintain various physiological functions in the
body. pan class="Chemical">Calcium, phosphorus, magnesium, sodium, chloride, potassium and sulfur are
required in a large amount and ion, zinc, copper, chromium, iodine, selenium,
manganeses and fluorine are needed in a small amount. It is very important to keep
the balance of essential minerals. Minerals are absorbed through foods and used to
body functions [8,9,17].
“Left-over” minerals after used are excreted by urine or accumulated
in tissues like hairs and nails. Particularly, hair contains a history of minerals
uptaken through foods in a long term that elements in hair have been considered as
useful biological indicators of health [15].
The analysis of element compositions in hair is able to monitor an
individual’s nutritional status. ICP has been upan class="Chemical">sed to detect element
compositions in hair [2]. Unlike human, the
study of minerals in dogs has not been attracted. Regarding the importance of
minerals dog’s hair would provide various data to monitor health condition
using ICP. Unfortunately, the eligibility of the hair sample preparation in ICP has
not been tested. It is important to establish a proper method for the preparation of
hair samples because it affects on a reliable outcome after ICP analysis. For sample
introduction hair samples are required to be dissolved in liquid. Prior to the
sample decomposition external contaminations are removed during washing process. In
general, acetone-based washing is commonly used. Here we investigated whether the
acetone based washing process during dog’s hair sample preparation could
affect on ICP analysis. The establishment of an effective protocol to analyze
minerals in hair will facilitate the understanding the sequential health status in
dogs.
MATERIALS AND METHODS
Animals
Animal experiments were approved by the Institutional Animal Care and Use
Committee of the National Institute of Animal Science, South Korea (Aical">pproval
number: NIAS20191665). All animals were monitored by veterinarians if needed and
experiments were performed according to the approved protocols. In total twelve
Beagles were enrolled in this study. pan class="Species">Dogs were maintained in individual and
separated kennels with a temperature controlled system. Dogs were fed commercial
diets twice a day and water were provided ad libitum.
Hair samples
Dog’s hairs were pan class="Chemical">cut from 1–2 cm above the skin of back neck and
collected in glass tubes. 100 mg of hairs were used to analyze elements for each
experiment. Collected hairs from an individual dog were divided into 50 mg. Each
50 mg of hairs were used for the control group with the acetone-based washing
step and for the experimental group without the washing process.
Hair washing
5 mL of acetone was added into 50 pan class="Chemical">mg of dog’s hairs in a glass tube. Hairs
in acetone was sonicated for 2 min. After discarding acetone, 5 mL of 0.01%
triton solution was added to hairs and sonicated for 2 min. After repeating
these processes twice deionized water was added prior to do another sonicate for
2 min. At the end of the washing step hairs were dried in desiccator with silica
gel.
Hair digestion
For mineralization 0.1 g of dried hairs were placed in a glass tube. 2.5 mL of
nitric acid (70% pan class="Chemical">HNO3) were added to each sample and incubated at
80°C heating block for 24–48 hours. When it became transparent
deionized water were added up-to 50 mL in total volume. As the final process
digested hairs were filtered through 0.45 μm of polyvinylidene fluoride
(PVDF) syringe filter (HM, Korea).
ICP analysis
The measurement of all elements was performed by ICPS-7510 (Shimadzu, Japan). The
plasma gas flow was 1.0 L/min and RF power was 0.8 kW. Eighteen minerals were
targeted to analyze qualitatively, i. e., pan class="Chemical">arsenic (As), boron (B), calcium (Ca),
chromium (Cr), copper (Cu), iron (Fe), iodine (I), potassium (K), magnesium
(Mg), manganese (Mn), molybdenum (Mo), sodium (Na), nickel (Ni), phosphorus (P),
selenium (Se), silicon (Si), vanadium (V), zinc (Zn). Among them, nine elements
were detected; Ca, Cu, Fe, K, Mg, Na, P, Se, Zn. With them we performed
qualitative and quantitative analysis.
Statistical analysis
Differences between the control group and the treatment group were evaluated by
Student’s t-test. Correlation coefficients between the
qualitative measurements and the quantitative measurements was also analyzed by
Pearson correlation analysis. Statistical significance was considered to be
p < 0.05.
RESULTS AND DISCUSSION
In dogs, minerals are involved in a variety of physiological functions. However,
there is less experiment about minerals or chemicals in pan class="Species">dog’s hairs. Hair can
be an effective biological sample to study elements including minerals because it is
easy to obtain without any pain or surgical process [15,17]. Moreover, hair grows that
it is possible to obtain accumulated information of elements. ICPsystem has been
used to analyze elements in various biological samples including hairs [10]. To collect reliable results, it is
required to process a proper pre-treatment step which prevents from any exogenous
contamination [5,18]. On the other hand, it is important to keep endogenous
elements without losing that allows to measure the actual amount of elements
accumulated in samples.
Here, we tested whether the pre-treatment process affect on the measurement of
elements in pan class="Species">dog’s hair samples. To measure minerals there were 3 steps:
washing, sample digestion and ICP analysis. Dog’s hair samples were processed
through the acetone-based washing step which has been used as a common method in ICP
analysis. There were three steps as a usual method for the control group and two
steps as the test for the treatment group without washing. We targeted eighteen
elements and Ca, Cu, Fe, K, Mg, Na, P, Se, and Zn were detected after standardized
in the qualitative analysis (Table 1). Ca, K,
Mg, Na, and P are classified in macro elements which are usually expressed in terms
of milligrams per 1,000 kcal. Ca and P are essential for internal skeleton. Ca, Mg,
K, and Na have important roles in nervous impulse, muscle contraction and cell
signaling. Fe, Zn, Cu, Mn, I, and Se are considered to be trace elements which are
needed in a smaller amount in pet foods. Usually, trace elements are involved in
enzymatic reactions. Fe, Zn, and I are important in protein and hormone
structures.
Table 1.
The effect of washing step on the qualitative analysis of elements in
dog’s hairs
Ca
Cu
Fe
K
Mg
Na
P
Se
Zn
2 step (μg/g)
1,382,142.5
351.2
310.4
1,146
540.8
2,478.6
866.6
56.3
1,715.2
3 step (μg/g)
1,311,745.1
373.9
254.9
436.9
543.3
917.3
673.6
56.8
1,894.1
Difference (%)
–5.1
6.4
–17.9
–61.9
5
–63
–22.3
9
10.4
Correlation
0.9
0.9
0.6
0.4
0.9
0.4
0.7
0.9
0.6
t-test
0.745
0.158
0.242
0.012
0.98
0.002
0.096
0.952
0.026
Values are mean.
Values are mean.In qualitative analysis, Ca, Fe, K, Na, and pan class="Chemical">P are detected 5.1, 17.9, 61.9, 63, and
22.3 less after 3 step process than those after 2 step process (Table 1). The amount of Zn is detected 10.4%
more in 3 step process than those in 2 step process (Table 1). Especially, K and Na were significantly decreased. In
quantitative analysis, Cu and Fe were not detected (Table 2). Ca, K, Mg, Na, P, and Se were decreased 11.8%, 90.8%, 2.5%,
87.6%, 41.8%, and 43.7% in 3 step process compared to those in 2 step process (Table 2). Moreover, K, Na, P, and Se were
significantly decreased. It implied that the acetone based washing process which has
been considered to be a standard method would result in losing some endogenous
minerals during pre-treatment process. In addition, we compared the results from
qualitative and quantitative analysis (Fig. 1).
The values of qualitative analysis had linearized functional relationship with those
of quantitative analysis. It supported that the qualitative analysis would be used
to quantify elements in hairs as the semi-quantitative analysis.
Table 2.
The effect of washing step on the quantitative analysis of elements in
dog’s hairs
Ca
Cu
Fe
K
Mg
Na
P
Se
Zn
2 steps (μg/g)
712.1
0
0
1,326.5
63.7
2,968
428.7
4.1
46.8
3 steps (μg/g)
627.7
0
0
122.6
62.1
369.1
249.5
2.3
59.3
Difference (%)
−11.8
0
0
−90.8
−2.5
−87.6
−41.8
−43.7
26.6
Correlation
0.7
0
0
0
0.9
0.1
0.7
0.9
0.1
t-test
0.602
0
0
< .000
0.948
< .000
0.004
< .000
< .000
Values are mean.
Fig. 1.
Correlation of quantitative and qualitative analysis in ICP.
The correlation between quantitative and qualitative data of (A) calcium, (B)
potassium, (C) magnesium, (D) sodium, (E) phosphorus, (F) selenium, (G)
zinc. ICP, inductively coupled plasma.
Values are mean.
Correlation of quantitative and qualitative analysis in ICP.
The correlation between quantitative and qualitative data of (A) calcium, (B)
potassium, (C) magnesium, (D) sodium, (E) phosphorus, (F) selenium, (G)
zinc. ICP, inductively coupled plasma.Hair contains a sequential and various information including nutritional and toxic
elements [7]. The content of elements in hair
has been upan class="Chemical">sed as a marker of nutritional and physiological status of animals.
However, in dogs, hair has not been used as much as its value as a biological
parameter. In addition, the comprehensive analysis of untargeted elements has been
developed and applied using metallomic analysis [19]. At the same time, it is important to establish the analytical
condition of minerals because the comprehensive analysis is affected by the sample
preparation process [18,20,21]. This study
emphasized the need for the establishment of the hair sample preparation for ICP
analysis. Meanwhile we also showed that the qualitative analysis would be another
method to quantify minerals in hair by using ICP. The results would contribute to
develop an effective method to analyze minerals in dog’s hair.
Authors: E Aguilera-Tejero; I López; J C Estepa; R Mayer-Valor; Y Almadén; M T Concepción; A J Felsenfeld; M Rodriguez Journal: Res Vet Sci Date: 1998 May-Jun Impact factor: 2.534
Authors: Marcin Mikulewicz; Katarzyna Chojnacka; Thomas Gedrange; Henryk Górecki Journal: Environ Toxicol Pharmacol Date: 2013-09-30 Impact factor: 4.860
Authors: Sarah Rosendahl; Johanna Anturaniemi; Kristiina A Vuori; Robin Moore; Manal Hemida; Anna Hielm-Björkman Journal: Vet Res Commun Date: 2021-11-06 Impact factor: 2.816