Application of Factorial Design and Desirability Function to Develop a Single Analytical Procedure for the Determination of Metals in Different Tissues of Blue Crab (Callinectes danae)

Abstract

In this scientific work, it was developed a single analytical procedure for the sample preparation of different tissues of blue crabs using microwave-assisted digestion for the determination of Cu, Mn, Fe and Zn by fast sequential flame atomic absorption spectrometry (FS FAAS). The limits of quatification were 10.5, 1.6, 8.9 and 19.3 µg g^-1 for Cu, Mn, Fe and Zn, respectively. The precision was estimated in terms of repeatability using the relative standard deviation (RSD, n = 7) 3.4% for Cu; 4.8% (Mn); 4.7% (Fe) and 4.7% (Zn) and accuracy of the procedure was confirmed by analysis of certified reference material (CRM) of oyster tissue (NIST 1566B) with concentration values of 71.3 for Cu, 18.3 for Mn, 202.5 for Fe and 1415 µg g^-1 for Zn. The procedure has been applied for the determination of Cu, Mn, Fe and Zn in several blue crab samples from Cachoeira River estuary, Ilhéus, Bahia, Brazil.

Keywords:
factorial design; desirability function; effect of matrix; singles analytical procedure

Introduction

Quantification of metals in different tissues of crustaceans has been receiving great importance, due to the information about the following items: relation to food quality control, indication of the environment where they live and extinction of some crustaceans species.^1-4 However, there are three distinct groups of metals with relation to toxicity for living organisms: the first group is considered of low toxicity, which is considered as micronutrients, but in high concentrations, they are toxic. The elements that belong to this group are: iron, aluminum, cobalt, copper, manganese, molybdenum, selenium, vanadium, zinc and tin. The second group consists of metals with probability of cancer risk: beryllium, chromium and nickel. The third group has a significant toxic character and its members are not included in the previous groups: lead, cadmium, mercury and arsenic. These elements do not have any known physiological function for living organism so far.^5-8

However, the determination of the elements of the above-mentioned groups is not always a simple task, and in this context the analytical method flame atomic absorption spectrometry (FAAS) shows itself as an excellent tool of determination mainly for its robustness.^9,10 In addition, this method is consolidated and is widely used worldwide because of its simplicity, adequate sensitivity to determine several micro and macronutrients and have relatively low cost compared to other methods⁹ such as inductively coupled plasma optical emission spectrometry (ICP OES) and inductively coupled plasma mass spectrometry (ICP-MS).

On the other hand, the development of a single analytical procedure for the determination of chemistry species in different tissues of animal must consider the following factors: the difference of the concentration of analytes and equivalence in preparing sample of different tissues, because the residual solutions might have difference between physical and chemical properties and it could bring difference in the aspiration rates of sample introduction system of the instrument and cause systematic errors in the determination.^11-16

The sequence of a development of an analytical procedure is first based on the choice of analytical method for the determination of chemical species, because it will determine the sample treatment. For example, there are several analytical instruments with different manners of sample introduction. In a device with introduction system by nebulization, the solid samples need a digestion step to become an aqueous solution and different matrices may require different treatments because they are different with relation to the amount of protein and lipids. Therefore, the residual solution will have physical and chemical properties, and differentiated aspiration rate by analytical instruments could feature a systematic error.¹⁷

The chemometrics is a statistical tool widely used to provide information regarding the concentration of the analytes in different samples, screening factors and mathematical modeling of analytical procedures with decrease of dimensionality to obtain information about interactions, cluster and others, but there are no scientific studies that blend into these chemometrics tools to prepare distinct diagnosis of samples with different matrices seeking a single condition for this purpose.^18-22

In this context, this research had as goal the development of a single analytical procedure for the determination of Cu, Mn, Fe and Zn in different tissues of blue crab by fast sequential flame atomic absorption spectrometry (FS FAAS) applying factorial design and desirability function.

Experimental

Instrumentation

A flame atomic absorption spectrometer (Varian model SpectrAA 240FS, Mulgrave, Victoria, Australia) with fast sequential (FS) software equipped with an air-acetylene burner was used for absorbance measurements. Hollow cathode lamps (Varian Instruments, Palo Alto, California, USA) were used as light sources in the respective wavelengths: 324.8 (Cu), 279.5 (Mn), 248.3 (Fe) and 213.9 nm (Zn). Deuterium lamp background correction was also used. The flame composition was the mixture between acetylene (flow rate: 2.0 L min^-1) and air (flow rate: 13.5 L min^-1). Sample aspiration rate was of 5.0 mL min^-1.

A freeze-drying instrument, model L101 LIOTOP (São Carlos, São Paulo, Brazil), was used to lyophilize the samples. A ball mill model 8000 FL SHIMIDT (Spex Sample Prep, Metuchen, USA) was used for reducing the particles size. An analytical balance model BL D105 (Sartorius, Gottiengen, Germany) was used to establish the sample mass. The total digestion of the blue crab samples was carried out with a microwave oven closed-vessel model MDS 40, Master Sineo equipped with 40 digestion tubes (Shanghai, China).

Reagents and solutions

All reagents were analytical reagent grade and the solutions were prepared using high-purity water that had a resistivity of 18.2 MΩ cm obtained from a Milli-Q Plus water purification system from Millipore (Bedford, MA, USA). Nitric acid (HNO₃) (65%, m m^-1) and hydrogen peroxide (H₂O₂) (30%, m m^-1) (Merck, Darmstadt, Germany) were used in total digestion. The analyte solutions used for external calibration were prepared from 1,000 mg L^-1 standard solutions (Merck, Darmstadt, Germany). All laboratory glassware used were previously immersed in HNO₃ solution (10%, m m^-1) for 12 h for decontamination prior to use and then rinsed several times with deionized water.

Sampling and preliminary treatment of the samples

For the purpose of catching blue crabs in estuarine environment (in situ), it was used a trap with metal rim and a fishing net. A boat was used to move in the area to proceed sampling. The trap was put in seven points of the Cachoeira River estuary where 36 blue crabs were captured, used for optimization of the method, with biometrics range of 88.0 to 117.0 mm. The animals were found between the following coordinates: from (–14.807786, –39.040824) to (–14.808461, –39.026431). In the laboratory, the muscles of the legs and claws were manually removed from the exoskeleton. Exoskeleton was broken with the support of a pistil and the soft tissues removed with the aid of an acrylic spatula. For the removal of the hepatopancreas, the ventral part of the exoskeleton was opened and with the aid of an acrylic spatula the tissue was removed.

Afterwards, in this process the total masses of each tissue were kept in Petri dishes separately, to be lyophilized. Following lyophilization, the samples were ground in a ball mill to reduce particle size and homogenize the tissues. Then the samples of the three tissues were kept in polypropylene bottles, previously decontaminated, and stored in a desiccator. The procedure developed was applied for the determination of Cu, Mn, Fe and Zn in the tissues of 47 blue crabs captured in three points along the Cachoeira River estuary, Ilhéus City. Figure 1 shows the total area where the sampling was done.

Figure 1
Location of the estuary and the sampling points of the application of the procedure.

Strategy for the procedure optimization

For optimization, tissues of 36 animals were used and divided into three samples: claws muscles, legs muscles and hepatopancreas. A full four-level factorial design (2⁴) was used in order to verify the influence and interactions of the following variables and levels: digestion time (15, 18 and 21 min), digestion temperature (120, 140 and 160 ºC), volume of HNO₃ (1.0, 2.0 and 3.0 mL) and volume of H₂O₂ (1.0, 2.0 and 3.0 mL). The factorial design totalized 19 experiments, including three replicates at the central point.

Responses for experimental designs were obtained by evaluating the concentrations of the analytes studies after microwave-assisted digestion. The data analysis was performed using the software Statistica 8.0.²³ To allow simultaneous optimization of the responses obtained, a mathematical approach developed by Derringer and Suich²⁴ was used. It is based on desirability functions applied in optimizing multi-response experiments. The approach first converts each response (y_i) into an individual desirability function (d_i), which varies within the range 0 ≤ d_i ≤ 1. If the response is desired, d_i = 1 and, if the response is outside the acceptable region, d_i = 0. The individual desirability (d_i) is calculated according to equation 1:

(1) $d=\left\{\begin{array}{c}0,\mathrm{if}y<L\\ {\left(\frac{y-L}{T-L}\right)}^s,\mathrm{if}L\le y\le T\\ 1,\mathrm{if}y>T\end{array}\right.$

where L is the lowest acceptable value for the response, T is the target value and s is the weight (when equal to 1 = linear desirability function). In this work, L values were the lowest concentration in a set of experiments for each element and T values were the highest concentration for each element.

The overall desirability (OD) is calculated according to equation 2:

(2) $\mathrm{OD}=\sqrt[m]{d_1{d}_2\mathrm{...}{d}_m}$

where m is the number of response variables.

Sample preparation

Microwave-assisted digestion

Digestion was performed in triplicate according to the following procedure: 200 mg of each sample was accurately weighed in digestion tubes and 1.0 mL of HNO₃ (65%, m m^-1) and 1.0 mL of H₂O₂ (30%, m m^-1) were added. The samples went through the total digestion process in a microwave oven with a cavity, under the heating program optimized as described: step 1: time of 10 min, power 500 watts and temperature of 160 ºC; step 2: time of 21 min, power 500 watts and temperature of 160 ºC. After this procedure, the digested were transferred to volumetric flask and the volumes were made up to 15.0 mL with ultrapure water.

Validation and analytical features of the analytical procedure

The limit of detection (LOD) and the limit of quantification (LOQ) were determined according to International Union of Pure and Applied Chemistry (IUPAC) recommendations.²⁵ Precision was estimated as the relative standard deviation (RSD, percentage). The accuracy of the procedure was confirmed by analysis of the certified reference material (CRM, Gaithersburg, MD, USA), oyster tissue NIST 1566b.

Results and Discussion

Optimization of the procedure

Optimized conditions for acidic digestion, according to the 2⁴ factorial design, were performed to get a single analytical condition to prepare the samples of the different tissues of blue crabs by microwave-assisted digestion. In order to obtain a single condition to the factors of the digestion of all tissues, OD was used to join the different analytical responses of the different tissues, using a mathematical-statistical tool that is based on the use of a desirability function (D). This function was obtained using the concentrations of the analytes studies. Initially, it was realized a factorial design for each tissue and obtained an overall desirability in function of the concentrations of Cu, Mn, Fe and Zn. Afterwards the obtainment of OD for each tissue, the same were utilizing to generate a single OD that allowed the utilization of a single step of digestion for all tissues.

After data processing, the evaluation of best conditions for digestion was performed by analysis of Pareto graphic, evaluating the significance of all factors and their interactions at a confidence level of 95%. The magnitude of effects is represented by columns, and the vertical line indicates statistical significance at p = 0.05, so the factors with values that exceed the vertical line are statistically significant at a confidence level of 95%.²⁶ Figure 2 shows the Pareto graphics for the tissues of claws muscles, legs muscles and hepatopancreas.

Figure 2
Pareto graphic of (a) claws muscles; (b) legs muscles and (c) hepatopancreas.

Pareto graphic obtained for the claws muscles (Figure 2a) shows that factors and their interactions are not significant inside this experimental domain. They did not influence the analytical response obtained in function of OD. However, the Pareto graphic obtained for legs muscles (Figure 2b) shows that the significant factor are digestion time and temperature, as well as the interaction between them. On the other hand, the Pareto graphic obtained for the hepatopancreas (Figure 2c) shows that all factors were significant, as well as the interactions between: temperature with time, HNO₃ with H₂O₂, temperature with HNO₃ and time with HNO₃.

According to the different profiles of the graphics of Pareto, it was observed that the hepatopancreas is the most complex of the tissues from blue crabs submitted to the procedure of digestion. The hepatopancreas tissue had the highest magnitude of the significant factors and their interaction for the analytical response among tissues, these factors are related to efficiency for the analytical procedure digestion. This can be explained by the fact that hepatopancreas has a high percentage of lipids, fatty acids, proteins and carbohydrates when compared to other tissues, thus making its decomposition more difficult.^27,28 Therefore, the optimization considered only the desirability values (Table 1) of the tissues of the hepatopancreas and of the legs muscles.

Table 1
Experimental matrix with values of OD for the tissues of the legs muscles and hepatopancreas

Experiment	Temperature / °C	time / min	HNO3 / mL	H2O2 / mL	OD legs	OD hepato
1	120 (–1)	15 (–1)	1 (–1)	1 (–1)	0.00	0.63
2	160 (+1)	15 (–1)	1 (–1)	1 (–1)	0.75	0.00
3	120 (–1)	21 (+1)	1 (–1)	1 (–1)	0.69	0.00
4	160 (+1)	21 (+1)	1 (–1)	1 (–1)	0.69	0.73
5	120 (–1)	15 (–1)	3 (+1)	1 (–1)	0.00	0.58
6	160 (+1)	15 (–1)	3 (+1)	1 (–1)	0.74	0.56
7	120 (–1)	21 (+1)	3 (+1)	1 (–1)	0.73	0.60
8	160 (+1)	21 (+1)	3 (+1)	1 (–1)	0.73	0.74
9	120 (–1)	15 (–1)	1 (–1)	3 (+1)	0.00	0.57
10	160 (+1)	15 (–1)	1 (–1)	3 (+1)	0.72	0.69
11	120 (–1)	21 (+1)	1 (–1)	3 (+1)	0.75	0.78
12	160 (+1)	21 (+1)	1 (–1)	3 (+1)	0.75	0.73
13	120 (–1)	15 (–1)	3 (+1)	3 (+1)	0.00	0.61
14	160 (+1)	15 (–1)	3 (+1)	3 (+1)	0.70	0.78
15	120 (–1)	21 (+1)	3 (+1)	3 (+1)	0.79	0.71
16	160 (+1)	21 (+1)	3 (+1)	3 (+1)	0.77	0.72
17	140 (0)	18 (0)	2 (0)	2 (0)	0.74	0.67
18	140 (0)	18 (0)	2 (0)	2 (0)	0.71	0.66
19	140 (0)	18 (0)	2 (0)	2 (0)	0.71	0.67

• OD: overall desirability; legs: legs muscles; hepato: hepatopancreas.

The claws muscles tissue was disregarded for the new array of data because all factors and your interactions were not significant for the analytical response. The aim of the new array was to get a trend of a single condition of sample preparation for the different tissues. From the desirability, it was obtained the OD for each tissue, promoting an ideal and single condition for the three tissues. Figure 3 shows the graph of the desirability function obtained for the tissues of the legs muscles and hepatopancreas with optimized values. The optimized conditions for the microwave-assisted digestion were: temperature of 160 ºC; time of 21 min, 1.0 mL of HNO₃ and 1.0 mL of H₂O₂. As the volumes of HNO₃ and H₂O₂ in the graphic of predicted values and desirability remained constant in the range of 1.0 to 3.0 mL, it was opted the use of the minimum value of the experimental domain.

Figure 3
Graphic of profiles of predicted values and desirability for application of microwave digestion in the legs muscles and hepatopancreas.

Matrix effect

Physical interference disturbs the phases of introduction of the sample, formation and transport of aerosol, size of drops, desolvation and volatilization, affecting the efficiency of nebulization and significantly the analytical response. This type of interference comes from the physico-chemical characteristics of the matrix of the solution of samples as viscosity, the superficial tension and the tension of steam of the samples and the presence of organic compounds, which are directly related with the matrix of the residual digested.²⁹

In order to check whether the matrix of the samples interferes in determination of analyte, the aqueous calibration techniques, standard addition technique and calibration residual acidity were evaluated by statistics using analysis of variance (ANOVA) with significant difference at a 95% confidence level. Equations of the curve of calibration for the different conditions for each analyte and tissues are shown in Table 2.

Table 2
Equations of the calibration curves obtained in aqueous, residual acidity and standard addition technique for the determination of Cu, Mn, Fe and Zn in tissues samples

Analyte	Mean	Calibration technique	Equation	r2
Cu	aqueous	conventional	y = (0.1020 ± 0.0018)CCu + (0.0028 ± 0.0037)	0.9998
	acidic	residual acidity	y = (0.1007 ± 0.0014)CCu + (0.0037 ± 0.0028)	0.9999
	hepatoa	st. add. techn.	y = (0.1002 ± 0.0015)CCu + (0.0647 ± 0.0032)	0.9998
	clawsb	st. add. techn.	y = (0.1026 ± 0.0024)CCu + (0.0223 ± 0.0050)	0.9996
	legsc	st. add. techn.	y = (0.1000 ± 0.0015)CCu + (0.0303 ± 0.0030)	0.9998
Mn	aqueous	conventional	y = (0.1517 ± 0.0035)CMn + (0.0026 ± 0.0041)	0.9996
	acidic	residual acidity	y = (0.1528 ± 0.0034)CMn + (0.0020 ± 0.0039)	0.9996
	hepato	st. add. techn.	y = (0.1526 ± 0.0029)CMn + (0.0343 ± 0.0034)	0.9997
	claws	st. add. techn.	y = (0.1516 ± 0.0026)CMn + (0.0033 ± 0.0030)	0.9998
	legs	st. add. techn.	y = (0.1536 ± 0.0032)CMn + (0.0028 ± 0.0037)	0.9997
Fe	aqueous	conventional	y = (0.0513 ± 0.0007)CFe + (0.0095 ± 0.0015)	0.9999
	acidic	residual acidity	y = (0.0507 ± 0.0017)CFe + (0.0055 ± 0.0035)	0.9992
	hepato	st. add. techn.	y = (0.0517 ± 0.0019)CFe + (0.0139 ± 0.0039)	0.9990
	claws	st. add. techn.	y = (0.0515 ± 0.0019)CFe + (0.0089 ± 0.0039)	0.9990
	legs	st. add. techn.	y = (0.0513 ± 0.0013)CFe + (0.0062 ± 0.0026)	0.9995
Zn	aqueous	conventional	y = (0.2126 ± 0.0056)CZn + (0.0042 ± 0.0034)	0.9995
	acidic	residual acidity	y = (0.2086 ± 0.0056)CZn + (0.0076 ± 0.0035)	0.9994
	hepato	st. add. techn.	y = (0.2124 ± 0.0074)CZn + (0.0370 ± 0.0046)	0.9991
	claws	st. add. techn.	y = (0.2041 ± 0.0067)CZn + (0.0383 ± 0.0041)	0.9992
	legs	st. add. techn.	y = (0.2044 ± 0.0055)CZn + (0.0401 ± 0.0034)	0.9994

• ^a
  Hepato: hepatopancreas;
• ^b
  claws muscles;
• ^c
  legs: legs muscles; r²: coefficient of determination; st. add. techn.: standard addition technique.

Afterwards, the slopes of the curves were plotted applying, when appropriate, the hypothesis test (α = 0.05).³⁰ To evaluate the significant difference between the values of the angular coefficients of standard addition technique, significance tests (α = 0.05) were applied. From those results, the matrix effect was analyzed for all calibration techniques. Considering the statistic test, it can report that there is no significant difference (α = 0.05) between the analytical curves in the media studied, thus demonstrating that the matrix does not affect the determination of the elements and the calibration can be performed by any calibration techniques. Because of the simplicity, aqueous calibration method was used for the determination of analytes. For determination of the Zn, the digests of all tissues needed to be diluted in the factor of 50 times to stay in the calibration linear range of analytical method, FS FAAS.

Validation of the analytical procedure and analytical features

The LOD and LOQ were calculated as the concentration of the analyte corresponding to three and ten times, respectively, the standard deviation of ten independent measurements of the analytical blank divided by the slope of the calibration curve. For the proposed procedure, LODs were: 3.2 for Cu; 0.5 for Mn; 2.7 for Fe and 5.8 µg g^-1 for Zn, and LOQs were: 10.5 for Cu; 1.6 for Mn; 8.9 for Fe and 19.3 µg g^-1 for Zn, and the precision, expressed in terms of repeatability using the relative standard deviation (RSD in percentage) for 7 digestions of the same sample with concentration of Cu (51.2 µg g^-1), Mn (108.2 µg g^-1), Fe (245.2 µg g^-1) and Zn (92.1 µg g^-1), was 3.4, 4.8, 4.7 and 4.7%, respectively.

The accuracy values, which were evaluated by the analysis of the CRM of oyster tissue (NIST 1566b) and the results obtained considering the use of the proposed procedure, are presented in Table 3. The statistical evaluation using the expanded uncertainty proved that there is no significant difference in the level of 95% of confidence between the values obtained with the proposed procedure and the reference values.

Table 3
Comparison of the value obtained through the proposed procedure with the certified value for CRM oyster tissue NIST 1566B (average ± confidence interval, n = 3)

Analyte	Concentration / (µg g-1)		Test CRM (expanded uncertainty)
	Certified value	Proposed procedure
Cu	71.6 ± 1.6	71.3 ± 2.3	0.3 ≤ 2.89
Mn	18.5 ± 0.2	18.3 ± 0.9	0.2 ≤ 1.13
Fe	205.8 ± 6.8	202.5 ± 2.5	1.4 ≤ 5.19
Zn	1424 ± 46	1415 ± 36	9.0 ≤ 51.04

• CRM: certified reference material.

Application

The proposed procedure was applied in determination of Cu, Mn, Fe and Zn in the tissues samples of 47 blue crabs captured in three points around the Cachoeira River estuary (Figure 1), in Ilhéus City, Bahia, Brazil. The coordinates of the location of sampling points were obtained from the Global Positioning System (GPS). At point 1 (–14.811308, –39.028705) 12 animals with biometrics between 7.8-11.0 cm were captured, at point 2 (–14.807113, –39.036143) 25 animals with biometrics between 8.1-13.1 cm were captured and at point 3 (–14.807010, –39.041157) 10 animals with biometrics between 7.6-10.8 cm were captured. The tissues of the animals were divided into claws muscles, legs muscles and hepatopancreas. After this process, these tissues were lyophilized and homogenized with balls mill, obtaining three batches of mass of each one of the tissues. This process was repeated for each one of the 3 sampling points. Then, seven replicates with mass of 0.2000 g were withdrawn from each batch to perform the total digestion in microwave oven. The Cu, Mn, Fe and Zn concentrations were determined by FS FAAS and the values are shown in Table 4.

Table 4
Concentration range for Cu, Fe, Mn and Zn, in the three studied blue crab tissues, in the respective sampling points

Sample	Point 1 (n = 12 animals)				Point 2 (n = 25 animals)				Point 3 (n = 10 animals)
	Concentration / (µg g-1)				Concentration / (µg g-1)				Concentration / (µg g-1)
	Cu	Mn	Fe	Zn	Cu	Mn	Fe	Zn	Cu	Mn	Fe	Zn
Claws muscles (7 replicates)	47.8	2.49	18.1	940	56.7	4.53	10.7	956	39.0	2.04	14.0	913
	50.9	2.71	16.2	925	57.5	4.58	10.1	963	38.9	1.97	14.4	903
	50.5	2.41	16.7	926	58.7	4.44	10.7	975	37.3	2.04	13.8	896
	49.4	2.21	17.9	946	59.3	4.10	10.8	979	36.6	2.02	12.9	923
	48.4	2.59	16.2	941	54.5	4.03	11.9	993	37.5	1.95	12.9	917
	50.6	2.10	16.2	949	55.1	4.12	10.4	995	37.0	2.05	14.3	940
	50.5	2.54	16.2	954	55.0	4.49	10.0	957	41.6	2.22	13.9	933
Legs muscles (7 replicates)	61.2	3.27	56.3	830	69.8	5.47	30.9	853	42.3	5.10	74.7	852
	61.8	3.17	54.1	830	69.7	5.37	31.0	863	42.4	4.75	75.0	855
	61.2	3.45	52.2	807	69.7	5.29	30.7	865	42.9	4.99	71.5	857
	60.7	3.65	52.2	838	69.6	4.96	29.7	865	43.4	4.99	72.4	885
	66.3	3.65	51.9	841	69.7	5.42	29.9	868	43.5	4.75	70.8	889
	65.0	3.26	52.4	841	69.1	5.00	29.5	865	42.0	5.13	72.8	849
	64.9	3.89	50.9	839	69.7	4.90	29.3	859	45.4	5.42	73.2	849
Hepatopancreas (7 replicates)	157	13.9	117	750	234	11.0	94.9	653	88.4	16.5	128	554
	163	12.2	124	775	234	10.9	93.8	657	89.1	16.2	126	559
	165	11.9	123	771	239	11.0	94.4	664	93.0	16.4	129	566
	165	12.6	132	777	235	10.6	91.8	649	91.2	15.5	124	551
	163	11.6	130	778	232	11.6	90.8	658	90.5	15.4	124	550
	163	12.2	125	776	239	10.8	93.5	656	96.1	16.8	120	555
	153	12.5	124	775	247	10.6	89.4	652	84.5	14.7	119	531

Other works found in literature already reported the determination of Cu, Mn, Fe and Zn in muscles and hepatopancreas of blue crabs. Türkmen et al., ³¹ at the Northern Skenderun Bay, East Mediterranean, determined the concentrations of Cu, Mn, Fe and Zn in the muscles of C.sapidus. The concentrations of Cu and Mn were similar to present study, but the concentration of Fe was higher than the Zn. Similar result was reported in the work of Mutluet al.³² for the concentrations of Cu, Mn, Fe and Zn in muscles of C.sapidus at Mediterranean Lagoons, Turkey, finding the concentration of Fe higher than the concentration of Zn. These results differ from the present study, which found the concentration of Zn higher than the concentrations of Cu, Mn and Fe in the claws muscles, legs muscles and in the hepatopancreas, which is in agreement with several authors.

In the work of Bordon et al., ³³ it was determined the concentrations of Cu, Mn, Fe and Zn in muscles of C.danae in Santos Estuarine System, São Paulo State, Brazil. In this study, the concetrations of Zn were higher than the concentrations of Cu, Mn and Fe. In another study of Bordon et al., ³⁴ the concentrations of Fe and Zn in muscles and hepatopancreas were determined and also it was obtained higher concentrations of Zn compared to the concentrations of Fe. Andrade et al.³⁵ also determined Cu, Fe and Zn in C.ornatus in Lagoa de Iquiparí, RJ, Brazil, being the values of concentrations of Zn higher than the concentrations of Cu and Fe.

Recent works also show uniformity with the present study. Lavradas et al.³ determined the concentrations of Cu and Zn in muscles and hepatopancreas of C.sapidus in Ilha Grande Bay, Rio de Janeiro, Brazil and obtained concentrations of Zn higher than the concentrations of Fe, as well as the work of Genç and Yilmaz³⁶ that determined Cu, Mn, Fe and Zn in the muscles and hepatopancreas of C.sapidus in the estuary of Koycegiz Lake, South-West, Turkey, obtaining concentrations of Zn higher than the concentrations of Cu, Mn and Fe, corroborating with the results found in the present study.

Conclusions

Multivariate optimization using the full-four level factorial design (2⁴) and desirability function, made it possible to obtain a single condition (instrumental and chemical) that enabled the simultaneous microwave-assisted decomposition for the three crab tissues and hepatopancreas samples as the most complex matrix among the evaluated tissues. The optimized conditions for the microwave-assisted digestion were: temperature of 160 ºC, time of 21 min, 1.0 mL of HNO₃ and 1.0 mL of H₂O₂.

Main advantage of this analytical procedure was getting a single procedure to decompose three tissues (claws muscle, legs muscle and hepatopancreas) of blue crabs being a complex study to determine chemistry species in different samples with difference among physical and chemistry features. These results confirm the great feasibility of applying this procedure for the determination of Cu, Mn, Fe and Zn in blue crabs captured around the Cachoeira River estuary, which may cover other studies in different science areas.

Acknowledgments

Authors acknowledge the financial support of Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB, PET0025/2012), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Financiadora de Estudos e Projetos (FINEP) and Santa Cruz State University (UESC, 0220.1100.899).

References

• ¹
  Zhou, Q.; Zhang, J.; Fu, J.; Shi, J.; Jiang, G.; Anal. Chim. Acta 2008, 606, 135.
• ²
  Cherkashin, S. A.; Blinova, N. K.; Hydrobiol. J. 2008, 44, 89.
• ³
  Lavradas, R. T.; Hauser-Davis, R. A.; Lavandier, R. C.; Rocha, R. C. C.; Saint’Pierre, T. D.; Seixas, S.; Kehrig, H. A.; Moreira, I.; Ecotoxicol. Environ. Saf. 2014, 107, 55.
• ⁴
  Adams, D. H.; Engel, M. E.; Ecotoxicol. Environ. Saf. 2014, 102, 196.
• ⁵
  Yedjou, G. C.; Tchounwou, P. B.; Int. J. Environ. Res. 2008, 4, 132.
• ⁶
  Tchounwou, P. B.; Ishaque, A.; Schneider, J.; Mol. Cell. Biochem. 2001, 222, 21.
• ⁷
  Sutton, D.; Tchounwou, P. B.; Ninashvili, N.; Shen, E.; Int. J. Environ. Res. 2002, 3, 965.
• ⁸
  Tchounwou, P. B.; Centeno, J. A.; Patlolla, A. K.; Mol. Cell. Biochem. 2004, 255, 47.
• ⁹
  Amorim, F. A. C.; Lobo, I. P.; Santos, V. L. C. S.; Ferreira, S. L. C.; Quim. Nova 2008, 31, 1784.
• ¹⁰
  Amorim, F. A. C.; Costa, V. C.; Guedes, W. N.; Sá, I. P.; Santos, M. C.; Silva, E. G. P.; Castro, D. C.; Food Anal. Methods 2016, 9, 1719.
• ¹¹
  Santos, W. P. C.; Hatje, V.; Santil, D. S.; Fernandes, A. P.; Korn, M. G. A.; Souza, M. M.; Microchem. J. 2010, 95, 169.
• ¹²
  Raposo, J. C.; Villanueva, U.; Bartolomé, L.; Olivares, M.; Carrero, J. A.; Sarmiento, A.; Etxebarria, N.; Madariaga, J. M.; Microchem. J. 2011, 99, 252.
• ¹³
  Weber, P.; Behr, E. R.; Knorr, C. L.; Vendruscolo, D. S.; Flores, E. M. M.; Dressler, V. L.; Baldisserotto, B.; Microchem. J. 2013, 106, 61.
• ¹⁴
  Schenone, N. F.; Avigliano, E.; Goessler, W.; Cirelli, A. F.; Microchem. J. 2014, 112, 127.
• ¹⁵
  Macedo, G. R.; Tarantino, T. B.; Barbosa, I. S.; Pires, T. T.; Rostan, G.; Goldberg, D. W.; Pinto, L. F. B.; Korn, M. G. A.; Franke, C. R.; Mar. Pollut. Bull. 2015, 94, 284.
• ¹⁶
  Ferreira, K. S.; Ferreira, W. A.; Gomes, J. M. M.; Correa-Júnior, J. D.; Donnici, C. L.; Silva, J. B. B.; Microchem. J. 2016, 124, 350.
• ¹⁷
  Korn, M. G. A.; Morte, E. S. B.; Santos, D. C. M. B.; Castro, J. T.; Barbosa, J. T. P.; Teixeira, A. P.; Fernandes, A. P.; Welz, B.; Santos, W. P. C.; Santos, E. B. G. N.; Korn, M.; Appl. Spectrosc. Rev. 2008, 43, 67.
• ¹⁸
  Ferreira, S. L. C.; Korn, M. G. A.; Ferreira, H. S.; Silva, E. G. P.; Araujo, R. G. O.; Souza, A. S.; Macedo, S. M.; Lima, D. C.; Jesus, R. M.; Amorim, F. A. C.; Sendra, J. M. B.; Appl. Spectrosc. Rev. 2007, 42, 475.
• ¹⁹
  Santos, W. P. C.; Castro, J. T.; Bezerra, M. A.; Fernandes, A. P.; Ferreira, S. L. C.; Korn, M. G. A.; Microchem. J. 2009, 91, 153.
• ²⁰
  Leardi, R.; Anal. Chim. Acta 2009, 652, 161.
• ²¹
  Amorim, F. A. C.; Costa, V. C.; Silva, E. G. P.; Castro, D. L.; Jesus, R. M.; Bezerra, M. A.; Food Chem. 2017, 227, 41.
• ²²
  Bezerra, M. A.; Santos, Q. O.; Santos, A. G.; Novaes, C. G.; Ferreira, S. L. C.; Souza, V. S.; Microchem. J. 2016, 124, 45.
• ²³
  Statistica 8.0, Statsoft, Tulsa, USA, 2007.
• ²⁴
  Derringer, G.; Suich, R.; J. Qual. Technol. 1980, 12, 214.
• ²⁵
  Thompson, M.; Ellison, S. L. R.; Wood, R.; Pure Appl. Chem. 2002, 74, 835.
• ²⁶
  Costa, S. S. L.; Pereira, A. C. L.; Passos, E. A.; Alves, J. P. H.; Garcia, C. A. B.; Araujo, R. G. O.; Talanta 2013, 108, 157.
• ²⁷
  Freire, C. A.; Togni, V. G.; Hermes-Lima, M.; Comp. Biochem. Physiol., Part A: Mol. Integr. Physiol. 2011, 160, 291.
• ²⁸
  Latyshev, N. A.; Kasyanov, S. P.; Kharlamenko, V. I.; Svetashev, V. I.; Food Chem. 2009, 116, 657.
• ²⁹
  Welz, B.; Sperling, M.; Atomic Absorption Spectrometry, 3^rded.; Wiley-VCH: Weinheim, Germany, 1999.
• ³⁰
  Miller, J. N.; Miller, J. C.; Statistics and Chemometrics for Analytical Chemistry, 6^th ed.; Pearson: Harlow, UK, 2010, p. 297.
• ³¹
  Türkmen, A.; Türkmen, M.; Tepe, Y.; Mazlum, Y.; Oymael, S.; Bull. Environ. Contam. Toxicol. 2006, 77, 186.
• ³²
  Mutlu, C.; Türkmen, M.; Türkmen, A.; Tepe, Y.; Bull. Environ. Contam. Toxicol. 2011, 87, 282.
• ³³
  Bordon, I. C. A. C.; Sarkis, J. E. S.; Tomás, A. R. G.; Scalco, A.; Lima, M.; Hortellani, M. A.; Andrade, N. P.; Bull. Environ. Contam. Toxicol. 2012, 89, 484.
• ³⁴
  Bordon, I. C. A. C.; Sarkis, J. E. S.; Tomás, A. R. G.; Souza, M. R.; Scalco, A.; Lima, M.; Hortellani, M. A.; Bull. Environ. Contam. Toxicol. 2012, 88, 577.
• ³⁵
  Andrade, S. F.; Matos, T. B.; de Carvalho, C. E. V.; Rev. Virtual Quim. 2011, 3, 129.
• ³⁶
  Genç, T. O.; Yilmaz, F.; Indian J. Anim. Sci. 2015, 85, 94.

Publication Dates

• Publication in this collection
  Sept 2018

History

• Received
  30 Aug 2017
• Accepted
  27 Mar 2018