Microporous and Mesoporous Materials 61 (2003) 127–136 www.elsevier.com/locate/micromeso Sorption characteristics of zinc and iron by natural zeolite and bentonite A.S. Sheta *, A.M. Falatah, M.S. Al-Sewailem, E.M. Khaled, A.S.H. Sallam Soil Science Department, College of Agriculture, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia Received 22 July 2002; received in revised form 15 October 2002; accepted 16 October 2002 Abstract Understanding the sorption process in natural zeolites is necessary for effective utilization of these minerals as nutrient adsorbents and consequently as controlled releases of plant nutrients. This research was undertaken to characterize the ability of five natural zeolites and bentonite minerals to adsorb and release zinc and iron. The potential for sorption of these ions were evaluated by applying the Langmuir and Freundlich equations. Zinc sorption data followed the Langmuir equation. The ability for Zn sorption were in the following order: chabazite > analcime > clinoptilolite1 > bentonite > clinoptilolite2 > phillipsite. Diethylene triamine pentaacetic acid (DTPA) extractable Zn decreased with the increase in successive extractions. All sorbed zinc was extracted by DTPA in most zeolite species after four successive extractions while only 50% was readily extractable from chabazite. Iron sorption data followed the S-type isotherm and the results were described by a Freundlich adsorption model. The iron activity ratio (Feox /Fed ) of sorbed Fe indicated the dominance of amorphous or poorly crystalline phases with zeolites and crystalline iron oxide phases with bentonite. The results suggest that natural zeolites, particularly chabazite and bentonite minerals, have a high potential for Zn and Fe sorption with a high capacity for slow release fertilizers. Ó 2003 Elsevier Inc. All rights reserved. Keywords: Zeolite minerals; Bentonite; Zn and Fe sorption; Amorphous iron 1. Introduction Zeolites and bentonite are naturally occurring structured and phyllosilicate minerals respectively, with high cation exchange and ion adsorption capacity. In particular crystalline zeolites are some of * Corresponding author. Fax: +966-1-476-8440. E-mail address: [email protected] (A.S. Sheta). the most effective cation exchangers known and they have two to three times the cation exchange capacity (CEC) than that of most smectites and vermiculite [1]. Agriculture applications related to ion exchange, adsorption and desorption of ions by zeolites have been reported by many investigators [2–4]. NHþ 4 -exchanged clinoptilolite added to light and medium textured soils produced a positive growth response in radishes when banded on soil [5]. Natural zeolites indicated a potential use as an þ NHþ 4 adsorbent and a controlled release NH4 fertilizer [3]. Coarse texture arid land soils are low 1387-1811/03/$ - see front matter Ó 2003 Elsevier Inc. All rights reserved. doi:10.1016/S1387-1811(03)00360-3 128 A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 to very low in extractable micronutrients and many are regarded as potentially deficient. However, some micronutrient compounds have been added to the soils either directly or as an incidental component of other fertilizers. Considerable research has been conducted concerning the factors which influence the adsorption and desorption of Zn and Fe in soils. Zinc adsorption was found to be pH dependent [6], related to soil CEC [6,7]. Several investigators have reported that the adsorption mechanism is a major contributing factor to low concentrations of Zn in soil solution [8,9]. Zinc sorption on soils is affected by the soil pH, clay minerals, and Fe-, Al-, and Mn-hydrous oxides, organic material, and carbonates [10]. Adsorption mechanisms suggested include the ion exchange [6] or physisorption and chemisorption [11]. Soil pH affects Zn adsorption, either by changing the number of adsorption sites or by changing the concentration of the Zn species which is preferentially adsorbed [12]. Desorption of native and added zinc from a range of New Zealand soils in relation to soil properties has been studied by Singh et al. [13]. They reported that CEC and organic carbon were the dominant soil variables contributing to sorption or desorption of zinc. Seasonal precipitated iron oxides in vertisol of Southeast Texas were studied by Golden et al. [14]. They reported that iron oxides precipitated on exposed surfaces on ped surfaces and within soil pores were relatively poorly crystallized while those precipitated on rice root surfaces were well crystallized. They refer the presence of poorly crystallized oxides to the presence of soluble Si and P during flooding. The presence of Mn lowers the crystalinity of geothite formed from slow oxidation of FeCl2 solution at pH 7 [15]. Sorption and desorption characteristics of micronutrients (Fe, Zn, Mn, Cu and B) by natural zeolite minerals is almost scarce in literature, despite the relative importance of zeolites as natural carrier for nutrients. The objectives of this research included (1) the evaluation of Zn and Fe sorption characteristics by five natural zeolites and bentonite minerals, and (2) the quantification of retained Zn and Fe forms through the extraction using diethylene triamine pentaacetic acid (DTPA) and selective dissolution methods. 2. Experimental Five naturally occurring zeolite minerals and one bentonite were used in this study namely, clinoptilolite1 and clinoptilolite2 supplied by Aberhills Holdings Inc. 1 Abbotsford, BC, Canada and Axis Trade Corp., 1 Arizona, USA, respectively. Minerals Research, 1 Clarkson, NY, USA, supplied phillipsite, chabazite and analcime. Baroid Saudi Arabia Ltd., 1 Dammam, supplied the bentonite mineral. The locations, mineralogical properties, CEC (cmol kg1 ), surface area (m2 g1 ), Si/Al ratio and total Fe2 O3 and ZnO (g kg1 ) are given in Table 1. Representative zeolites and bentonite samples were used without any chemical pretreatment. Impurities such as quartz, mica, feldspars were identified using X-ray diffraction. In preparation for sorption and extraction experiments, the samples were grinded in an agate mortar and passed through a 1.0 mm sieve. The zinc sorption experiment were carried out using the batch equilibrium by weighing triplicate 1.0 g samples in 50 ml centrifuge tubes. The initial Zn concentrations added to the samples are 0.0, 5.0, 25.0, 50.0, 100.0, 250.0 and 500.0 mg l1 prepared from ZnSO4 . Twenty ml of the initial concentrations were added to each sample, then suspensions were shaken for 2 h at constant room temperature (20 °C) followed by centrifugation for 15 min. The zinc concentrations in equilibrium solutions were measured by atomic absorption spectrophotometry (AAS) according to [16]. The amount of Zn sorbed (mmol kg1 ) was calculated by the difference between Zn added and that remained in the equilibrium solutions. The Langmuir equation was used to describe the Zn sorption. The model used is C=x=m ¼ 1=kb þ C=b ð1Þ where C and x=m are the equilibrium Zn concentration (mmol l1 ) and the amount of Zn sorbed (mmol kg1 ), respectively. The empirical constants b and k are related to the adsorption maximum 1 Trade names and company names are included for the benefit of the reader and do not imply endorsement or preferential treatment of the product. A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 129 Table 1 Selected chemical analyses and textural properties of zeolites and bentonite minerals used in the study Location Clinoptilolite1 Clinoptilolite2 Phillipsite Chabazite Analcime Bentonite Southwestern USA Cucurpe, Sonora Mexico Pine Valley, Nevada Christmas, Arizona Barstow, California Dammam, Saudi Arabia Impuritiesa Surface areab (m2 g1 ) Si/Al ratio CECc (cmol kg1 ) Total (g kg1 ) Fe2 O3 ZnO Quartz, feldspar, mica Quartz, mordenite Mica 407.9 5.50 98.4 13.4 0.08 428.3 5.82 75.6 13.3 0.07 961.7 3.87 223.0 19.3 0.09 Mica, quartz 1100.0 4.54 195.0 18.1 0.05 313.0 3.41 39.0 15.7 0.09 1009.0 2.32 88.0 44.9 0.12 Quartz Quartz, mica a X-ray diffraction. Surface area by ethylene glycol monoethyl ether method. c CEC––ammonium acetate method. b (mmol kg1 ) and bonding strength (l mmol1 ), respectively. This equation will be used to compare the adsorption maximum (b) between zeolites and bentonite since these adsorbents and the experimental conditions are identical as proposed by Veith and Sposito [17]. The sorbed Zn was sequentially extracted four times with DTPA, according to the method described by Lindsay and Norvell [18]. Zinc in all extracts was measured by AAS. Sorption of Fe was carried out on the five mentioned zeolite species and bentonite samples by the same method as already described for Zn. The initial concentrations are 0.0, 5.0, 25.0, 50.0, 250.0 and 500.0 mg l1 prepared from FeCl2 Æ 3H2 O salt. Six replicates were prepared in the adsorption experiment in order to characterize the sorbed Fe. The Freundlich model was used to describe Fe sorption by zeolites and bentonite minerals. The linear Freundlich model is log x=m ¼ log k þ 1=n log C ð2Þ where x=m is the amount of Fe sorbed (mmol kg1 ), k and n are constants, and C is the equilibrium Fe concentrations (mmol l1 ). The sorbed Fe was characterized as follows: the available Fe was extracted from the duplicate sample sequentially (four times) using the DTPA extract [18]. Other duplicate samples were extracted using the CBD (sodium citrate–dithionite–bicarbonate) method [19] for the free Fe oxide form (Fed ) determination. Amorphous and poorly crystalline Fe oxides form (Feox ) were extracted from another duplicate sample using NH4 -oxalate in darkness at pH 3 [20,21]. Soluble Fe in all extracts was measured by AAS [22]. 3. Results and discussion Zinc sorption isotherms of Zn sorbed x=m (mmol kg1 ) and the equilibrium Zn concentrations C mmol l1 are presented in Fig. 1. The pattern of the isotherms are quite similar with a slight difference between zeolites and bentonite. At lower initial concentrations, the isotherms have a relatively high slope whereas at higher concentrations the slope was relatively low with a defined plateau for the adsorption maximum in most of the samples studied. Sorption isotherms follow the L-shaped type similar to that described by Sposito [23]. Such adsorption behavior could be explained by the high affinity of zeolites and bentonite for Zn at low concentrations, which decrease as Zn concentration increases. Langmuir constants for Zn sorption were calculated from the best fitting straight line between C=x=m and C (Table 2). Data of maximum adsorption (b mmol kg1 ) have been 130 A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 Fig. 1. Sorption isotherms of Zn for zeolite species and bentonite. l mmol1 ) was in the order: chabazite > analcime > phillipsite > bentonite > clinoptilolite2 > clinoptilolite1. Results also show that chabazite in the following decreasing order: chabazite > analcime > clinoptilolite1 > bentonite > clinoptilolite2 > phillipsite. The binding strength values (k in Table 2 Langmuir equations and constants (b and k) for Zn sorption by zeolites and bentonite Sample Langmuir equations Clinoptilolite1 Clinoptilolite2 Phillipsite Chabazite Analcime Bentonite Y Y Y Y Y Y ¼ 0:0207x þ 0:0109 ¼ 0:0328x þ 0:0136 ¼ 0:0385x þ 0:0129 ¼ 0:0082x þ 0:0006 ¼ 0:0178x þ 0:0031 ¼ 0:0212x þ 0:0087 r2 b (mmol kg1 ) k (l mmol1 ) 0.9572 0.9925 0.9978 0.9949 0.9831 0.9621 48.31 30.49 25.97 122.00 56.18 47.17 1.90 2.41 2.99 13.67 5.74 2.44 A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 mineral has the highest ability for Zn sorption under all the studied concentrations, while bentonite has an intermediate ability. The amount of Zn sorbed by chabazite ranges between 92.8 and 75.8% from the added Zn while it was only 74.4–20.2% for phillipsite. These data reflect large differences between zeolite minerals for Zn sorption, particularly in the case of chabazite mineral. Differences in the mineralogical structure of zeolite species and surface characteristics could play an important role in the sorption behavior of Zn ions besides the presence of impurities in these natural samples. Data of the native Zn extracted by successive DTPA extractions (Table 3) decreased drastically after the first extraction and were almost negligible after the third extraction in all mineral species. The cumulative amounts of native Zn ranges from 0.91 mg kg1 for bentonite to 0.18 mg kg1 for either clinoptilolite1 or clinoptilolite2. Therefore, the na- 131 tive available Zn to plants in zeolite species or bentonite mineral was low and almost negligible. Moreover, mixing such minerals with soils low in available Zn cannot support the plants need for Zn. On the other hand, data in Table 3 indicated that more Zn was extracted after the fourth extraction by DTPA from chabazite treated samples compared with other samples. For example, at higher initial Zn added, chabazite releases 97 mg kg1 in the fourth extraction while clinoptilolite1, clinoptilolite2, phillipsite, analcime and bentonite releases 45, 27.8, 80.5, 67, and 64.4 mg kg1 , respectively. Also, the percentage of cumulative extracted Zn (% from sorbed) varied considerably with the sorbed amounts and with zeolite species or bentonite. Chabazite showed the lowest desorbed percentage particularly at high levels of sorbed Zn. Only 53% is readily extractable by DTPA after four successive extractions leaving 47% Zn retained by the mineral Table 3 Amounts of sorbed Zn and DTPA extractable Zn (four successive extractions) from Zn treated P Zn added Extractable/ Sorbed Zn Sorbed Zn DTPA 1 1 (mg kg ) sorbed (%) (mg kg1 ) (mg kg ) extractable Zna (mg kg1 ) and untreated zeolites and bentonite P Extractable/ DTPA sorbed (%) extractable Zna (mg kg1 ) 0 100 500 1000 2000 5000 10000 Clinoptilolite1 0 88.2 403 600 1020 2610 2860 0.18 43 286 547 994 2272 2743 – 49 71 91 97 87 96 Clinoptilolite2 0 84.2 360.6 550 960 1690 1867 0.18 73 303 445 812 1357 1558 – 87 84 81 85 80 83 0 100 500 1000 2000 5000 10000 Phillipsite 0 74.4 379.8 529.2 1016 1530 1600 0.27 73 325 475 973 1362 1547 – 98 86 90 96 89 97 Chabazite 0 89.6 463.6 819.4 1733.4 4410 7580 0.31 72 302 583 893 2801 3993 – 81 65 71 52 64 53 0 100 500 1000 2000 5000 10000 Analcime 0 89 457.8 800 1520 2650 3660 0.35 65 301 683 1318 1884 2560 – 73 66 85 87 71 70 Bentonite 0 88.8 452.6 604 1072 2610 2860 0.91 46 257 454 899 2024 2368 – 52 57 75 84 78 83 a Summation of DTPA extractable Zn (four successive extractions). 132 A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 even though the mineral showed the highest amount of Zn extracted in the fourth extraction. This finding may reflect clearly the positive role on the possibility of using chabazite as a slow release for Zn. Analcime showed a relatively similar trend since it retained about 30% of the sorbed Zn after four extraction treatments by DTPA. These results agrees well with bonding energy data calculated from the Langmuir model (Table 2). Other minerals show a relatively low ability to retain Zn against the extraction by DTPA, for example, phillipsite releases up to 97% and clinoptilolite1 about 96% at the highest sorbed amounts. Iron sorption isotherms for zeolite species and bentonite are presented in Fig. 2. All the isotherms could be described by the S-type isotherm [23]. The slope of the isotherm initially increased with the increase in Fe concentration, but eventually showed a low slope at relatively high equilibrium Fe concentrations. This type of isotherm indicates that at lower concentrations the surface has a low affinity which increases at higher concentration [23]. Nevertheless, the S-type isotherm has rarely been observed for the adsorption of heavy metals in soil [24]. There were some differences between the studied samples, particularly at high concen- Fig. 2. Iron sorption isotherms for zeolite species and bentonite. A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 trations, that could be explained by the unique framework structure of zeolite species and the phyllosilicate structure of bentonite. For example, at the highest Fe applications clinoptilolite1 seems to retain the highest amount, followed by bentonite, while analcime was the lowest one. Sorption data followed the Freundlich adsorption equation (Table 4) and the fit was better for all the studied mineral species in comparison with the fit for the Langmuir equation. The results show that most of the obtained plots were quite similar in shape and varied by the Freundlich sorption constants, i.e., log k and n (Table 4). The calculated n value was qualitatively related to the distribution of site-bonding energies [25]. The n values for all the studied mineral samples were lower than 1, which may indicate that the distribution of bonding energies will vary with adsorption density [26]. The small differences encountered in Freundlich sorption constants could be related to the heterogeneity of sorption sites in zeolites and bentonite. The close similarity of these constants for bentonite and zeolites may indicate that the unique structure of different zeolites have no clear role in the sorption behavior of Fe added under the experimental conditions in comparison with the bentonite structure. The percentage Fe sorbed/ added data (Table 5) were increased with the increase in initial Fe added up to 250 mg l1 . It then decreased for all samples. It appears that most of the added Fe at initial concentrations <250 mg l1 could be retained on the exchange sites or precipitated as insoluble Fe compounds. The extent of such processes was related to the characteristics of zeolites and bentonite minerals as well as to the chemical composition of the equilibrium system. In that respect Krishnamurtti and Huang [27] reported the formation of lepidocrocite (c-FeOOH) 133 and maghemite (c-Fe2 O3 ) crystalline minerals in FeCl2 –NH4 OH systems at pHs of 6.0 and 8.0, respectively. Therefore, it was likely that the application of Fe to different zeolites or bentonite minerals may lead to oxidation and precipitation of different forms of Fe. However, no attempt was made to protect the systems from possible oxidation by air or even changing the suspension pH during the experiment. The nature of precipitates was attributed to the influence of different surface properties present in the samples including the accessory minerals, oxides, hydroxides and the amorphous aluminosilicates. Data of Fed (Table 6) indicated that the untreated zeolite species and bentonite have considerable amounts of native Fed and the highest amount was extracted from phillipsite (6760 mg kg1 ) and bentonite (3720 mg kg1 ). Other zeolite minerals have relatively low contents of native Fed , which range from 1000 mg kg1 for chabazite to 798 mg kg1 for clinoptilolite1. Data also indicated that the amounts of Fed increased with the increase of sorbed Fe and this was clear from the differences between Fe in treated and untreated samples. Bentonite showed the highest Fed from the sorbed Fe compared with zeolite minerals which may indicate the possible role of bentonite surfaces for precipitation of added Fe to form free iron oxides compared with zeolite surfaces. In that respect Golden et al. [14] found that iron oxides precipitated on exposed surfaces of flooded montmorillonitic soils within soil pores were relatively poorly crystallized while those precipitated on rice-root surfaces were well crystallized. On the other hand, data of amorphous Fe extracted by ammonium oxalate (Feox ) from untreated samples indicated that phillipsite contains relatively high amounts (3249 mg kg1 ) followed by bentonite (1155 mg kg1 ). Also, Table 4 Freundlich sorption equations and constants (log k and n) for Fe sorption on zeolites and bentonite Mineral Equations Clinoptilolite1 Clinoptilolite2 Phillipsite Chabazite Analcime Bentonite Y Y Y Y Y Y ¼ 1:562x þ 0:7961 ¼ 1:1507x þ 1:4333 ¼ 1:5332x þ 0:607 ¼ 1:1909x þ 1:210 ¼ 1:0864x þ 1:2766 ¼ 1:3166x þ 1:2055 r2 log k (mmol kg1 ) n (kg l1 ) 0.8576 0.7581 0.7449 0.8248 0.8991 0.8313 0.796 1.433 0.607 1.210 1.277 1.210 0.64 0.87 0.65 0.84 0.92 0.76 134 A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 Table 5 Amounts of Fe sorbed, and DTPA extractable Fe (four successive extractions) for zeolites and bentonite minerals P P Initial Sorbed/added DTPA Sorbed/added DTPA x=m (mg kg1 ) x=m (mg kg1 ) a concentration (%) extractable Fe (%) extractable Fea (mg l1 ) (mg kg1 ) (mg kg1 ) 0.00 5.0 25.0 50.0 250.0 500.0 Clinoptilolite1 – 23.13 335.2 797.4 4261.2 7600 – 23.1 67.0 79.7 85.2 76.0 35.6 51.2 128.0 406.4 1361.0 1663.6 Clinoptilolite2 – 36 336.4 796 4510 5894 – 36.0 67.3 79.6 90.2 58.9 20.6 36.4 166.4 389.4 1390.0 1542.2 0 5.0 25.0 50.0 250.0 500.0 Phillipsite – 10.8 346.7 600 4391.3 6352 – 10.8 69.3 60.0 87.8 63.5 10.0 17.20 235.2 539.0 1700.7 1610.2 Chabazite – 37.4 295.6 595 4393.8 5520 – 37.4 59.1 59.5 87.9 55.2 19.4 35.8 181.0 532.2 1605.2 2813.6 0 5.0 25.0 50.0 250.0 500.0 Analcime – 48.4 296.6 407.8 3930 5300 – 48.4 59.3 40.8 78.6 53.0 26.8 34.2 141.8 376.8 1018.6 807.0 Bentonite – 29.4 363.8 836 4139.3 – – 29.4 72.8 83.6 82.8 – 13.8 31.4 259.0 405.0 1629.0 2320.0 a Summation of DTPA extractable Fe (four successive extractions). amounts Feox increased with the increase in amounts of sorbed Fe and the increase was more pronounced in all zeolite minerals compared with bentonite, particularly at low concentrations of applied Fe. Data of the iron activity ratio (Feox / Fed ) were <1 in all the untreated samples reflecting the dominance of well crystalline Fe oxides. Treated zeolite samples have iron activity ratios >1 in most cases which may reflect the dominance of amorphous or poorly crystalline Fe oxides phases as a result of the Fe application to zeolite species. Bentonite shows iron activity ratios <1, indicating high amounts of crystalline Fe oxides (Fed ) and less amounts of poorly crystalline and amorphous oxides (Feox ). Therefore, these data clearly suggest the existence of a variable role of zeolite and bentonite mineral surfaces on the formation of different Fe forms as a result of the Fe application. Data of the native Fe extracted by successive DTPA extractions (Table 3) decreased with successive extractions in most of the cases. Analcime showed the highest extractable native Fe in the first extraction followed by clinoptilolite1 and bentonite. In the fourth extraction clinoptilolite1 showed the highest extractable Fe followed by analcime and chabazite. The cumulative concentrations of native Fe extracted from zeolite minerals ranged from 35.6 mg kg1 for clinoptilolite1 to 10.0 mg kg1 for phillipsite and for bentonite (13.8 mg kg1 ). Amounts of extractable Fe from treated samples increased in the first extraction in all samples with the increase in initial Fe application and with the increase in the sorbed Fe. There was a general decrease in the amount of extractable Fe with successive extraction, but all samples indicated relatively high amounts even after the fourth extraction. For example, at the highest application treatment (500 mg l1 ) about 160 mg kg1 was extracted from treated chabazite followed by bentonite (153 mg kg1 ) while other zeolites showed low extractable Fe that range from 54 mg kg1 for clinoptilolite2 to 68 mg kg1 for analcime. The data also indicated that the cumulative amounts of extractable Fe largely increased with A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 135 Table 6 Amounts of CBD and NH4 -oxalate extractable Fe (mg kg1 ) from Fe treated and untreated zeolites and bentonite minerals Treatment Untreated (0) Initial Fe concentration (mg Fe l1 ) 5.00 25.0 50.0 250.0 500.0 Clinoptilolite1 Fed (mg kg1 ) Fed treated–Fed untreated Feox (mg kg1 ) Feox treated–Feox untreated Feox /Fed 798 – 236 – 0.296 820 22 293 57 2.59 1000 202 697 461 2.28 1348 550 1065 829 1.51 3780 2982 4410 4174 1.40 5800 5002 6825 6589 1.32 Clinoptilolite2 Fed (mg kg1 ) Fed treated–Fed untreated Feox (mg kg1 ) Feox treated–Feox untreated Feox /Fed 1180 – 570 – 0.483 1236 56 630 60 1.07 1524 344 975 405 1.18 1760 580 1425 855 1.47 4020 2840 4860 4290 1.51 5160 3980 6450 5880 1.48 Phillipsite Fed (mg kg1 ) Fed treated–Fed untreated Feox (mg kg1 ) Feox treated–Feox untreated Feox /Fed 6760 – 3249 – 0.48 6840 80 3345 96 1.2 7160 400 3750 501 1.25 7500 840 4225 976 1.34 10100 3340 7125 3876 1.16 10760 4000 7590 4341 1.09 Chabazite Fed (mg kg1 ) Fed treated–Fed untreated Feox (mg kg1 ) Feox treated–Feox untreated Feox /Fed 1000 – 143 – 0.14 1076 76 195 52 0.68 1260 260 483 340 1.31 1560 560 882 739 1.32 4100 3100 3923 3780 1.22 7480 6480 4725 4582 0.71 Analcime Fed (mg kg1 ) Fed treated–Fed untreated Feox (mg kg1 ) Feox treated–Feox untreated Feox /Fed 840 – 518 – 0.62 900 60 576 58 0.97 1170 330 1002 484 1.47 1472 632 1500 982 1.55 3390 2550 4215 3697 1.45 4120 3280 5295 4777 1.46 Bentonite Fed (mg kg1 ) Fed treated–Fed untreated Feox (mg kg1 ) Feox treated–Feox untreated Feox /Fed 3720 – 1155 – 0.31 3829 109 1252 97 0.89 4200 480 1402 247 0.52 4800 1080 1920 765 0.71 7520 3800 3765 2610 0.69 11000 7280 8400 7245 0.99 Fed ––Free iron oxides (Fe extracted by the CBD method). Feox ––Amorphous or poorly crystalline iron (Fe extracted by NH4 -oxalate in darkness). the increase of the sorbed Fe in all zeolite minerals, and the extent of extractable Fe depends on the type of zeolite. For bentonite, relatively high cumulative extractable Fe was obtained from the retained Fe, particularly at high levels. These data reflect the importance of the studied minerals as a carrier for Fe, even though it was precipitated or oxidized in the system. Correlation coefficients were calculated between the amounts of Fed or Feox and the cumulative DTPA extractable Fe from the sorbed Fe. The results indicated that cumulative DTPA extractable Fe was highly correlated with Fed (r2 ¼ 0:961) and Feox (r2 ¼ 0:88). Therefore, the results suggest that sorbed or freshly precipitated Fe on zeolites or bentonite could be a source for increasing available iron. 136 A.S. Sheta et al. / Microporous and Mesoporous Materials 61 (2003) 127–136 4. Conclusions The studied zeolite species (clinoptilolite1 and 2, chabazite, phillipisite and analcime) and bentonite showed considerable variations in Zn sorption properties and DTPA extractability. Chabazite has the highest ability for Zn sorption, while bentonite has an intermediate ability compared with other zeolites. Chabazite retains a relatively high percentage of the sorbed Zn against the extraction by DTPA, even it released more Zn after the fourth extraction by DTPA. Iron sorption data were described by a Freundlich adsorption model. Most of the sorbed Fe by zeolites was present in the poorly crystalline or amorphous form while that of bentonite was present in the free iron oxide form. The results suggest that natural zeolite and bentonite minerals have a high potential for Zn and Fe retention. The availability of the retained Zn and Fe was higher for Zn compared with Fe, and chabazite seems to have the highest ability for Zn sorption and extractability by DTPA. Bentonite has intermediate characteristics for Zn and Fe sorption among the studied zeolite mineral species. Acknowledgement This research was supported in part by the Saudi Basic Industries Corporation (SABIC). References [1] D.W. Ming, F.A. Mumpton, Zeolites in soils, in: J.B. Dixon, S.B. Weed (Eds.), Minerals in Soil Environments, second ed., Soil Science Soceity of America, Madison, WI, 1989, p. 873. [2] M.A. Weber, K.A. Barbarick, D.G. Westfall, J. Environ. Qual. 12 (1983) 349. [3] M. Kithome, J.W. Paul, L.M. Lavkulich, A.A. Bomke, Soil Sci. Soc. Am. J. 62 (1998) 622. [4] E.R. Allen, L.R. Hossner, D.W. Ming, D.L. Henninger, Soil Sci. Soc. Am. J. 60 (1996) 1467. [5] M.D. Lewis, F.D. Moore, K.L. Goldsberry, in: W.G. Pond, F.A. Mumpton (Eds.), Zeo-agriculture: Use of Natural Zeolites in Agriculture and Aquaculture, Westview Press, Boulder, CO, 1984, p. 105. [6] L.M. Shuman, Soil Sci. Soc. Am. Proc. 39 (1975) 454. [7] E.J. Udo, H.L. Bohn, T.C. Tucker, Soil Sci. Soc. Am. Proc. 34 (1970) 405. [8] B.G. Ellis, B.D. Knezek, in: J.J. Mortvedt, P.M. Giordano, W.L. Lindsay (Eds.), Micronutrients in Agriculture, Soil Science Society of America, Madison, WI, 1971, p. 59. [9] U.C. Shukla, S.B. Mittal, Soil Sci. Soc. Am. J. 43 (1979) 905. [10] M.A. Elrashidi, G.A. OConnor, Soil Sci. Soc. Am. J. 46 (1982) 1153. [11] M.B. McBride, J. Blasiak, Soil Sci. Soc. Am. J. 43 (1979) 866. [12] N.J. Barrow, J. Soil Sci. 37 (1986) 295. [13] D. Singh, R.G. McLaren, K.C. Cameron, Aust. J. Soil Res. 35 (1997) 1253. [14] D.C. Golden, F.T. Turner, H.S. Bhatkar, J.B. Dixon, Soil Sci. Soc. Am. J. 61 (1997) 958. [15] Z. Karim, Clays Clay Miner. 32 (1984) 334. [16] D.E. Barker, N.H. Suthr, in: A.L. Page (Ed.), Methods of Soil Analysis: Part 2, second ed., American Society of Agronomy, Madison, WI, 1982, p. 13. [17] J.A. Veith, G. Sposito, Soil Sci. Soc. Am. J. 41 (1977) 697. [18] W.L. Lindsay, M.A. Norvell, Soil Sci. Soc. Am. J. 42 (1978) 421. [19] O.P. Mehra, M.L. Jackson, Clays Clay Miner. 7 (1960) 317. [20] U. Schwertmann, Z. Pflanzenernaehr., D€ unger und Boden Kunde 105 (1964)194. [21] M.V. Fey, J. LeRoux, Clays Clay Miner. 25 (1977) 285. [22] R.V. Olson, R. Ellis Jr., Iron, in: A.L. Page (Ed.), Methods of Soil Analysis: Part 2, second ed., American Society of Agronomy, Madison, WI, 1982, p. 301. [23] G. Sposito (Ed.), The Surface Chemistry of Soils, Oxford University Press, New York, 1984. [24] Y. Yin, H.E. Allen, C.P. Huang, P.F. Sanders, Soil Sci. 162 (1997) 35. [25] G. Sposito, Soil Sci. Soc. Am. J. 44 (1980) 652. [26] W.P. Inskeep, J. Baham, Soil Sci. Soc. Am. J. 47 (1983) 660. [27] G.S.R. Krishnamurtti, P.M. Huang, Clays Clay Miner. 37 (1989) 451.
© Copyright 2026 Paperzz