Performance of a reciprocal shaker in mechanical dispersion of soil samples for particle-size analysis

Avaliação do desempenho de mesa agitadora reciprocante na dispersão de amostras de solo para fins de análise granulométrica

DIVISÃO 2 - PROCESSOS E PROPRIEDADES DO SOLO

COMISSÃO 2.2 - FÍSICA DO SOLO

Performance of a reciprocal shaker in mechanical dispersion of soil samples for particle-size analysis¹

Avaliação do desempenho de mesa agitadora reciprocante na dispersão de amostras de solo para fins de análise granulométrica

Thayse Aparecida Dourado^I; Laura Fernanda Simões da Silva^II; Mara de Andrade Marinho^III

^IUndergraduate student at State University of Campinas, College of Agricultural Engineering - UNICAMP/FEAGRI. Financial support: Scientific Initiation Fellowship from SAE/UNICAMP. Av. Cândido Rondon, 501, Bairro Barão Geraldo. CEP 13083-875 Campinas (SP). E-mail: [e-mail]

^IISubstitute Professor at Universidade Estadual Paulista - UNESP - Campus Rio Claro, Dept. of Petrology and Metallogeny, Institute of Geosciences and Exact Sciences. Avenida 24-A, 1515. CEP 13506-900. E-mail: [e-mail]

^IIIAssociate Professor at State University of Campinas, College of Agricultural Engineering - UNICAMP/ FEAGRI. E-mail: [e-mail]

SUMMARY

The dispersion of the samples in soil particle-size analysis is a fundamental step, which is commonly achieved with a combination of chemical agents and mechanical agitation. The purpose of this study was to evaluate the efficiency of a low-speed reciprocal shaker for the mechanical dispersion of soil samples of different textural classes. The particle size of 61 soil samples was analyzed in four replications, using the pipette method to determine the clay fraction and sieving to determine coarse, fine and total sand fractions. The silt content was obtained by difference. To evaluate the performance, the results of the reciprocal shaker (RSh) were compared with data of the same soil samples available in reports of the Proficiency testing for Soil Analysis Laboratories of the Agronomic Institute of Campinas (Prolab/IAC). The accuracy was analyzed based on the maximum and minimum values defining the confidence intervals for the particle-size fractions of each soil sample. Graphical indicators were also used for data comparison, based on dispersion and linear adjustment. The descriptive statistics indicated predominantly low variability in more than 90 % of the results for sand, medium-textured and clay samples, and for 68 % of the results for heavy clay samples, indicating satisfactory repeatability of measurements with the RSh. Medium variability was frequently associated with silt, followed by the fine sand fraction. The sensitivity analyses indicated an accuracy of 100 % for the three main separates (total sand, silt and clay), in all 52 samples of the textural classes heavy clay, clay and medium. For the nine sand soil samples, the average accuracy was 85.2 %; highest deviations were observed for the silt fraction. In relation to the linear adjustments, the correlation coefficients of 0.93 (silt) or > 0.93 (total sand and clay), as well as the differences between the angular coefficients and the unit < 0.16, indicated a high correlation between the reference data (Prolab/IAC) and results obtained with the RSh. In conclusion, the mechanical dispersion by the reciprocal shaker of soil samples of different textural classes was satisfactory. The results allowed recommending the use of the equipment at low agitation for particle size- analysis. The advantages of this Brazilian apparatus are its low cost, the possibility to simultaneously analyze a great number of samples using ordinary, easily replaceable glass or plastic bottles.

Index terms: soil texture, pipette method, mechanical dispersion, accuracy analysis.

RESUMO

A dispersão da amostra de solo é uma etapa fundamental da análise granulométrica, sendo realizada mediante o uso de dispersantes químicos e agitação mecânica. O objetivo deste trabalho foi avaliar a eficiência de mesa agitadora reciprocante de baixa rotação na dispersão mecânica de amostras de solos de diferentes classes texturais. Foram realizadas análises granulométricas em 61 amostras com quatro repetições, empregando o método da pipeta para determinação da fração argila e tamisagem para determinação das frações areia grossa, areia fina e areia total, sendo o silte determinado por diferença. Na avaliação de desempenho, os resultados obtidos com uso da mesa agitadora reciprocante (MAR) foram comparados com dados disponíveis para as mesmas amostras oriundos de relatórios do Ensaio de Proficiência IAC para Laboratórios de Análises de Solos - Prolab/IAC. Análises de acurácia foram realizadas com base nos valores dos intervalos de confiança definidos para cada fração granulométrica componente de cada amostra ensaiada. Indicadores gráficos também foram utilizados na comparação de dados, por meio de dispersão e ajuste linear. A estatística descritiva indicou preponderância de baixa variabilidade em mais de 90 % dos resultados obtidos para as amostras de texturas arenosa, média e argilosa e em 68 % dos obtidos para as amostras de textura muito argilosa, indicando boa repetibilidade dos resultados obtidos com a MAR. Média variabilidade foi mais frequentemente associada à fração silte, seguida da fração areia fina. Os resultados das análises de sensibilidade indicam acurácia de 100 % nas três frações granulométricas - areia total, silte e argila - para todas as amostras analisadas pertencentes às classes texturais muito argilosa, argilosa e média. Para as nove amostras de textura arenosa, a acurácia média foi de 85,2 %, e os maiores desvios ocorreram em relação à fração silte. Nas aproximações lineares, coeficientes de correlação igual (silte) ou superiores (areia total e argila) a 0,93, bem como diferenças menores do que 0,16 entre os coeficientes angulares das retas e o valor unitário, indicam alta correlação entre os resultados de referência (Prolab/IAC) e os obtidos nos ensaios com a MAR. Conclui-se pelo desempenho satisfatório da mesa agitadora reciprocante de baixa rotação para dispersão mecânica de amostras de solo de diferentes classes texturais para fins de análise granulométrica, permitindo recomendar o uso alternativo do equipamento quando se emprega agitação lenta. As vantagens do uso do equipamento nacional incluem o baixo custo, a possibilidade de análise simultânea de grande número de amostras e o uso de frascos comuns, de vidro ou de plástico, baratos e de fácil reposição.

Termos de indexação: granulometria, método da pipeta, dispersão mecânica, análise de acurácia.

INTRODUCTION

Soil texture is based on different combinations of sand, silt, and clay separates that define the particle-size distribution of a soil sample (Gee & Or, 2002). Particle-size distribution is a natural and permanent soil property and one of the most frequently used for soil characterization (Hillel, 1982). Because of the correlation between specific surface and particle size, the percentage distribution of the various sizes of individual particles within a soil is an important soil characteristic (Baver et al., 1972). The particle-size distribution of a soil is determined by particle-size analysis. Particle-size analysis is defined as a measurement of the size distribution of the individual (primary) particles in a soil sample, according to texture fractions in a given classification scheme (Baver et al., 1972; Gee & Or, 2002). The analysis of particle sizes is a common and essential physical analysis of the soil, for which conventionally "fine earth" is used, or the soil fraction that can be sieved through 2 mm mesh. The size limits of the three main fractions of soil particles sand, silt and clay are given by diameter ranges, according to different scales. The sand fraction contains the largest particles, with diameters between 2.0 and 0.02 mm (ISSS) or 2.0 and 0.05 mm (USDA). Silt consists of medium-sized particles, with diameters from 0.02 to 0.002 mm (ISSS) or from 0.05 to 0.002 mm (USDA), and the clay fraction contains the smallest soil particles, with diameters below 0,002 mm or 0,2∝ on both scales (Gee & Or, 2002).

Soil texture is widely recognized as being fundamental for soil identification and classification. More recently, particle-size distribution has been widely used as an independent variable in pedotransfer functions for the estimation of more complex soil physical properties (Tomasella et al., 2000, Silva et al., 2008). In the soil, organic matter, iron oxides and carbonates act as cementing agents, keeping the particles together and forming aggregates. The success of particle-size analysis depends firstly on the sample preparation to ensure a complete dispersion of all aggregates into their individual primary particles without breaking up the particles themselves and secondly, on the accurate fractionation of a sample into its different separates (Baver et al., 1972). Thus, the dispersion phase consists of the individualization of the soil primary particles in aqueous suspension, by using chemical agents and physical methods (Gee & Or, 2002). The chemical agents are used to eliminate the flocculating ions, such as Al and Ca, to increase the repulsion between the primary particles, and to stabilize the individual particles in the suspension throughout the analysis (Gee & Or, 2002; Ruiz, 2005). In Brazil, the Brazilian Agricultural Research Corporation - Embrapa (1997) recommends the chemical agents Na-hydroxide (NaOH) or Na-hexametaphosphate buffered with Na-carbonate for normal soils, the use of hydrogen chloride (HCl) at 10 % for calcareous soils, and Na-hexametaphosphate for saline soils. In São Paulo State, the Agronomic Institute of Campinas (IAC) recommends the use of a mixture of Na-hydroxide and Na-hexametaphosphate (Camargo et al., 1986). Sodium can adsorb high quantities of water and when the Na ion is adsorbed on the surface of soil particles it induces repulsion between them, which in turn facilitates the stabilization of the individual particles in suspension. In recent research, Neto et al. (2009) evaluated the effectiveness of different chemical agents for the dispersion of a Rhodic Hapludox irrigated with calcium-rich water. They concluded that the combination of hydrogen chloride (HCl) with Na-hydroxide (NaOH) was the most efficient way of recovering the clay fraction. Classical physical methods of soil dispersion include fast or slow shaking or rolling of the soil suspension. In the past 20 years, electronic dispersion, primarily by the use of sonication, has become increasingly popular (Gee & Or, 2002). In Brazil, Embrapa (1997) recommends the use of electric stirrers at high speed (10,000 to 12,000 rpm) for a short stirring time, varying from 5 min (for sandy soils) to 15 min (for clayey soils). In São Paulo, Grohmann & Raij (1977) demonstrated the superiority of slow shaking for a more efficient soil dispersion and clay determination for soil particle-size analysis performed in the IAC laboratories. Later, Camargo et al. (1986) recommended the use of low-speed stirrers (30 rpm), for example the Wiegner shaker, with longer stirring time, of about 16 h. According to Gee & Or (2002), not only a standardization of the treatments but also the testing of specific methodologies are needed, since the mechanical techniques can result in the fragmentation of the primary particles. The reciprocal shaker evaluated here belongs to the category of slow-speed shakers, for which there are no comparative performance studies based on the results obtained with methodologies and agitators commonly used in the laboratories. The advantages of this reciprocal shaker include its relatively low cost, the capacity to shake a large number (40) of samples simultaneously, and the possibility of using cheap and easy replaceable glass or plastic pots. Given the above, our objective was to evaluate the efficiency of a slow reciprocal shaker for the dispersion of soil samples of different textural classes for particle-size analysis.

MATERIAL AND METHODS

Experimental location and characterization of the soil samples

The experiment was conducted at the Soil Laboratory (Labsol) of the College of Agricultural Engineering, State University of Campinas, Campinas, SP.

The tests were conducted with 61 soil samples of different textural classes. According to the textural groups defined by Embrapa (2006), the texture of nine of the soil samples was sandy (containing <150 g kg^-1 clay and > 700 g kg^-1 sand), of 22 medium (with clay contents < 350 g kg^-1 and > 150 g kg^-1), of 20 samples clayey (with clay contents > 350 g kg^-1 and < 600 g kg^-1), and of the last 10 samples the texture was Heavy Clay (with clay contents > 600 g kg^-1).

The samples were selected from a soil bank of the Labsol, due to its participation in the IAC Proficiency Testing for Soil Analyses Laboratories - Prolab/IAC. The choice of this soil sample bank was due to the availability of results of particle-size analyses performed by more than 80 laboratories participating in the program. The data were used as references in the performance evaluation of the reciprocating shaker. The statistical procedures used in the Prolab/IAC define the average value and the acceptable range of results obtained for each particle-size fraction (coarse sand, fine sand, total sand, silt and clay) for each soil sample (Quaggio et al., 1994). The acceptable range depends on the coefficient of variation (CV) of the results for each particle-size fraction for each soil sample, according to the following criteria: a) for CV > 40 %, the acceptable range is the average ± 1.0 standard deviation (s) calculated from the results obtained by all laboratories; b) for CV between 20 and 40 %, the acceptable range is the average ± 1.5 s, and c) for CV < 20 %, the acceptable range of results is the average ± 2.0 s. These data sets of particle-size analyses determined independently and as a part of a soil analysis quality program, were considered appropriate to draw conclusions not only about the accuracy but also on the precision of the results obtained by mechanical dispersion with a reciprocal shaker (RSh).

Analysis methods

The particle-size analyses were carried out by the Pipette Method described by Day (1965) for clay determination, by sieving for separation of the sands and by the difference between the former to obtain silt, according to the procedures described by Embrapa (1997) and Camargo et al. (1986).

a) Principles

The pipette method is a direct sampling procedure based on the particle settling speed in an aqueous suspension according to Stokes' law (Equation 1). The basic assumptions to apply Stokes' law to soil suspensions are: a) the terminal velocity is reached as soon as settling begins; b) resistance to settling is entirely due to the viscosity of the fluid; c) particles are smooth and spherical; d) there is no interaction between individual particles in the suspension (Gee & Or, 2002). Since the soil particles are not smooth and spherical, d must be regarded as equivalent rather than actual diameters. The methods of particle-size analysis based on the settling velocity determine the soil particles more precisely according to the settling time, as defined by equation 2. For clay fraction determination, after the dispersion of the soil sample, the time and the distance of vertical displacement of the particles through the aqueous suspension are fixed, so that only the clay particles remain in suspension at that depth. At the time t, a small subsample is taken from the suspension at depth h, according to equation 2. After oven-drying and subtracting the dispersant weight (blank test), the clay mass of the soil sample is determined. To determine the sand fraction, the soil suspension is passed either through a set of two sieves, to separate the coarse from the fine sand fractions (ISSS), or through a set of five sieves, to separate the sand in very coarse, coarse, medium, fine and very fine (USDA). Then, the sand fractions are oven-dried and weighed for content determinations. After determining the sand and the clay fractions, the silt fraction is calculated by the difference (Camargo et al., 1986; Embrapa, 1997). The pipette method is often used as a standard method and the results of the particle-size analysis are expressed in g kg^-1 by the International System.

b) Analytical procedure

For soils with less than 5 % of organic matter (OM) (< 50 g kg^-1), 10 g of the < 2mm fraction of air-dried soil was weighed and transferred to a 500 mL glass pot with 50 mL of dispersant solution* (a mixture of 20 g of Na-hydroxide PA and 50 g of Na-hexametaphosphate in 5 L of distilled water, stirred with magnetic stirrer until the reagents were dissolved). After closing, the glass pot was placed on the low-speed reciprocal shaker (RSh) for mechanical stirring at 130 rpm for 14-16 h (Figure 1).

The stirring velocity was determined based on preliminary tests at different speeds, which demonstrated that 130 rpm was the ideal rotation speed to promote an effective movement of the suspension within the glass pot. For soils containing more than 5 % of organic matter (> 50 g kg^-1), a pre-treatment was required to eliminate OM as follows: fill 10 g of the < 2mm fraction of air-dried fine earth into a 800 mL beaker, add 200 mL of Na-pyrophosphate 0.1 mol L^-1 and 50 mL of hydrogen peroxide (H₂O₂ ~30 %), and let it stand overnight. The next day, maintain at 40 ºC in water bath for 8 h, and stir with a glass rod every 2 h. To remove the excess of H₂O₂, raise the temperature to 80 ^°C, until almost dry. Wash the sample, centrifuge it twice with distilled water, and remove the supernatant. Air-dry the sample, grind and weigh the quantity required for the particle-size analysis.

After the stirring period, the suspension was sieved through a 0.053 mm (270 mesh) into a 0.5 L sedimentation cylinder for sand separation. The material retained on the sieve (sand) was transferred to a 0.4 L beaker, and oven-dried at 105 ^°C. Then the dried sands were transferred to a set of two sieves: 0.21 mm (coarse sand) and 0.05 mm (fine sand), and shaken for 30 min on a sieve vibrator. The masses of the coarse sand and of the fine sand were weighed (precision 0.01 g).

The volume of the suspended material was completed to 0.5 L and the test tube placed in a water bath. The suspension was stirred for 30 s with a glass rod with a plunger slightly smaller than the cylinder diameter attached to its lower end. The settling time was defined according to the suspension temperature.

After the sedimentation period required for clay recovery only, 10 mL of the suspension were pipetted from a depth of 5 cm, transferred to a tared beaker (precision 0.0001 g), and dried at 105 ⁰C for 24 h. After drying, the beaker was placed in a desiccator until reaching room temperature, then weighed (precision 0.0001 g) and the weight of the clay + dispersing agents determined.

A blank test was performed to determine the weight of the dispersing agents by preparing a solution with the same concentration used in the analysis (50 mL of dispersing solution* in a sedimentation cylinder + water to complete 0.5 L). A 10 mL aliquot of the solution was transferred to a beaker and oven-dried at 105 ⁰C for 24 h. After drying, the beaker was placed in a desiccator until reaching room temperature; then it was weighed (precision 0.0001 g) to determine the mass of the dispersing agents contained in the 10 mL aliquot. This value was subtracted from the weight of clay + dispersing agents to determine the clay content only.

The silt fraction was calculated by the difference between the sum of the sand and the clay fractions in relation to 1000g, since the results should be expressed in g kg^-1 (Camargo et al., 1986; Embrapa, 1997). For each soil sample, particle-size analysis was performed in four replications.

c) Statistical analysis of the particle-size analysis results and performance evaluation of the reciprocal low speed shaker (RSh)

The results were subjected to descriptive analysis to determine the following values: mean, standard deviation, and the maximum, minimum and coefficient of variation, using the SAS statistical program. The data variability, expressed by the coefficient of variation (CV %), was evaluated according to the Warrick & Nielsen (1980) criteria, by which coefficients below 12 % indicate low variability; the coefficients varying between 12 and 60 % medium variability; and the coefficients > 60 % high variability.

For a performance analysis and to validate the results obtained with the RSh, the data accuracy was analyzed (Fletcher et al., 1986), based on confidence intervals (IC) as the criteria of acceptance, as defined by the particle-size data of the analysis performed with the same samples by the laboratories of the Prolab/IAC program (Tables 1 and 2). Graphic indicators were also used to compare the results, using the ORIGINPRO^R 7.5 software, which visualized data dispersion and the linear fit between the average content of a given particle-size fraction (sand, silt or clay) for each soil sample (reference data obtained from the Prolab/IAC program) and the value obtained using the RSh.

RESULTS AND DISCUSSION

The results of the descriptive analysis for coarse sand, fine sand, total sand, clay and silt fractions for nine sandy soil samples (containing < 150 g kg^-1 clay and > 700 g kg^-1 sand) are shown in Table 3. For all sandy samples (9), the coefficients of variation (CV) of the results for fine sand, total sand and clay were lower than 12 %, indicating low variability. The variability in the results for coarse sand was also low, except for sample 2, for which the CV of 13.95 % indicated medium variability, according to the criteria of Warrick & Nielsen (1980). For silt, medium variability was observed for three samples (2, 4 and 6); however, for the remaining six samples, variability was also low. In general, low variability was characterized for 91 % of the results obtained for the sandy soil samples.

The results shown in table 4 were obtained from 21 medium-textured soil samples. For almost 92 % of the data, including coarse sand, total sand and clay fractions of all tested samples, variability was low (CV < 12 %); medium variability (12 % < CV < 60 %) was only observed for fine sand (samples 22, 23 and 27) and silt (samples 12, 16, 17, 27 and 30).

For the set of 20 clayey soil samples, variability was low in 93 % of the results; for 15 samples, variability was low for all fractions: coarse sand, fine sand, total sand, silt, and clay (Table 5). Medium variability was only inferred for fine sand (samples 37, 39 and 45), coarse sand (sample 43) and silt (samples 37, 41 and 45).

Finally, low variability was observed in 68 % of the results obtained for 10 Heavy Clay soil samples, including the clay fraction (all samples), coarse sand (samples 54, 55, 56, 57), fine sand (samples 52, 54, 55, 56, 57, 58, 59, 61), total sand (samples 52, 54, 55, 56, 57, 58) and silt (samples 53, 54, 56, 57, 58). Medium variability was inferred for coarse sand (samples 52, 53, 58, 59, 60, 61), fine sand (sample 53), total sand (samples 53, 59, 60, 61), and silt (samples 52, 55, 59, 60, 61).

The prevalence of low variability for various data sets indicates a good repeatability of the results of the analysis using the low speed reciprocal shaker (RSh). Medium variability was characterized primarily for silt fraction, followed by fine sand, and also for the results for the Heavy Clay soil samples.

^{Click to enlarge}

The accuracy analysis for nine sandy soil samples showed that the estimations of sand and clay fractions using the RSh were 100 % accurate, once all obtained results were within the confidence intervals defined in table 1 and figure 2. For the silt fraction, the accuracy of the estimations dropped to 55.6 %, because the estimated values of four out of nine samples were not within the predefined confidence interval. However, the overall sensitivity or accuracy of the particle-size analysis using the RSh in the dispersion of the sandy soil samples was high, reaching 85.2 %. For the medium-textured soil samples, all values obtained using the RSh were within the confidence intervals defined in table 2, with 100 % accuracy for the three particle size fractions sand, clay and silt (Figure 3). The estimations of the three main textural fractions, sand, clay, and silt were also found to be 100 % accurate for the clayey soil samples (Figure 4) and for the Heavy Clay soil samples (Figure 5). In summary, considering all 61 soil samples of the different textural classes, the mean accuracy of the estimations using the RSh was approximately 96 %, a high value.

The dispersion charts for mean values of sand, clay and silt extracted from the reports of Prolab/IAC (X axis) and those determined using the RSh (Y axis) are illustrated (Figure 6: Sandy and Medium textured soil samples; Figure 7: Clayey and Heavy Clay soil samples). The linear approximations indicate similarities between the two data sources, as evidenced by the proximity of the angular coefficient values (0.84 < m < 1.5) to the unit, which characterizes the straight line of perfect correlation. The values of the correlation coefficients were always greater than 0.93, thus confirming the high correlation between the Prolab/IAC values (reference) and the results obtained with RSh. Of the textural classes, total sand and clay provided the best results, with correlation coefficients greater than 0.98 and differences between the angular coefficients of the straight line and the unit value less than 0.16. Considering all textural classes tested, the largest discrepancies, not only in relation to the correlation coefficient values (> 0.93), but also to the deviations of the angular coefficients from unit (<0.5), were observed for the silt fraction estimations. This can be explained by the fact that the silt fraction was determined by difference, leading to cumulative errors in the estimations of this fraction. Ruiz (2005) demonstrated that the value of the silt fraction calculated by subtracting the other fractions is overestimated. To minimize this problem and possibly increase the accuracy of the determination, the author suggested that an additional volume of the silt and clay suspension should be sampled to estimate silt. However, the effect of this procedure on the accuracy of determinations was not discussed here.

In conclusion, the performance of the reciprocal shaker (RSh) was satisfactory enough to allow its recommendation as a suitable alternative to the conventional devices used for mechanical soil sample dispersion in particle-size analysis. Additional advantages of the equipment are its low cost, the possibility of simultaneous dispersion of up to 40 soil samples, and the option of using ordinary, cheap and easily replaceable glass pots.

CONCLUSIONS

1. The mechanical dispersion of soil samples from different textural classes, even of the Heavy Clay class by the reciprocal shaker was satisfactory.

2. The tested equipment is a viable alternative for the mechanical dispersion of soil samples for particle-size analysis.

LITERATURE CITED

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¹

Paper presented at the XXXII Brazilian Congress of Soil Science (Fortaleza, CE, 2-7/08/2009), during both oral and poster sections. Received in August 15, 2012 and approved in May 18, 2012.

Publication Dates

• Publication in this collection
  23 Oct 2012
• Date of issue
  Aug 2012

History

• Received
  15 Aug 2012
• Accepted
  18 May 2012