DOI:
10.1039/D5AY00883B
(Paper)
Anal. Methods, 2025, Advance Article
Spinel CuMn2O4 nanoflakes as an effective adsorbent for dispersive solid phase microextraction of silver and lead in spices and water†
Received
25th May 2025
, Accepted 10th July 2025
First published on 25th July 2025
Abstract
In the current work, we synthesized spinel CuMn2O4 nanoflakes using coprecipitation and pyrolysis methods. The resultant adsorbent was used as a fast and selective adsorbent for D-SPμE of silver and lead ions in river water, tap water, well water, wastewater, red pepper, black pepper, cinnamon, and cumin. This is the first study on D-SPμE of silver and lead ions with nanoflake morphology among spinel oxides. Experimental factors affecting the extraction of the silver and lead ions by CuMn2O4 nanoflakes were examined. The optimal pH was found to be 2.0. Adsorption/elution contact times and eluent were no vortexing adsorption/30 s elution, and 2 mL of 2 mol L−1 HCl, respectively. The adsorption capacity of the CuMn2O4 nanoflakes was 42.4 mg g−1 for silver and 42.7 mg g−1 for lead. The RSD% of the analytes was ≤3.1%. The selectivity of Pb(II) was very high. The results were verified by BCR-482 Lichen, SPS-WW1 Batch 121 Wastewater, and NW-TMDA-54.6 Lake water analyses. The recovery tests in the spice and water samples were done. The recovery ranges were found to be 90–102% and 93–102% for silver and 88–98% and 89–97% for lead in water and food, respectively. This indicates an accurate, reliable, fast, and selective approach for FAAS determination of silver and lead in the samples.
1 Introduction
Food safety and environmental pollution are the most important issues of today. Among all pollutants, heavy metals pose the greatest risk to food safety and environmental pollution. Their main sources include industry, the application of fertilizers and pesticides, the atmospheric deposition related to coal combustion and vehicle emissions, mining and sewage irrigation.1 Among them, lead is the most serious one. It is an enzyme inhibitor and metabolic poison. Lead exposure results in neurological system changes, leading to neurological function loss. It may cause brain damage, high blood pressure, kidney, liver, and heart injuries, seizures, and anemia in adults and a slight deficit in children's learning abilities.2–4 Silver is a precious metal. It has been widely used in pharmaceuticals, jewelry, photography, and electroplating. This led to the discharge of a large amount of wastewater containing silver.5 Silver has caused risks to human and aquatic lives because of its toxicity.6 Soluble silver ions in water systems are classified as hazardous substances by the WHO and the EPA and the silver concentration in drinking water is limited to 100 μg L−1.7 Therefore, selective and sensitive analytical methods for Ag(I) and Pb(II) ions are needed for the preconcentration and separation of these ions in various samples.
Sample preparation eliminates most matrix interferences and decreases the sample complexity while providing preconcentration.8 Traditional solid phase extraction (SPE) is one of the most common extraction methods. However, it has certain shortcomings such as producing large secondary wastes, solvent loss, a need for complex equipment, and being a long procedure.9,10 In this sense, analytical chemistry studies have endeavored to improve greenness, miniaturization, simplification, and time reduction methods. Dispersive solid phase microextraction (D-SPμE) is classified as a miniaturized SPE. D-SPμE reveals a lot of advantages over traditional SPE, like recovery efficiency, reduced solvent consumption, and short time requirement. Moreover, it is economic, easy, and simple.11 Besides the rapid extraction, D-SPμE does not require column sorbent packing and large sample volume passing. D-μ-SPE is carried out by dispersing the sorbent in the solution, followed by sonication, vortexing, or shaking. This dispersion provides fast and uniform interaction which leads to the extraction and enrichment of analytes.12 The analyte–sorbent contact surface and thus the analyte–sorbent interaction increase upon sorbent dispersion in the solution. It reduces the extraction time and increases extraction efficiency.13 Low organic solvent consumption, high analyte recoveries, speed, and high operation simplicity are advantages of D-SPμE.12
The sorbents having a micro or nano-size in D-SPμE have a high surface area that decreases the extraction time. Moreover, in D-SPμE, the consumption of eluent is reduced.14 Compared with microscale materials, nanostructured sorbents provide higher adsorption capacity.15 Generally, adsorbents with high capacity and good dispersion ability are required to obtain fast sorption, dispersion, and analyte elution. Therefore, sorbent preparation is a main factor in achieving high sorption capacity and selectivity. The sorbent selectivity in the adsorption depends on the strength and type of the analyte–sorbent interactions, or the shape and size of the sorbent and analyte pore in the absorption.13 Therefore, a continuous effort for many researchers is the exploration and design of novel adsorbents.
Nano-metal oxide materials contain metal oxides. Their sizes change from 1 to 100 nm. They are relatively cheap and indicate enhanced adsorption and redox capabilities.16 Recently, new spinel oxides have drawn a lot of attention as researchers explore their structural stability as well as their optical, electrical, and magnetic characteristics.17 In comparison with single metal oxides, the spinel AB2O4 oxides (A = Mg, Ba, Sr, Ca, Fe, Mn, Cu, Co, Zn, Ga, Ni, and Cd; B = Fe, Al, Mn, Cr, Co, etc.) include two different valence transition metals. The synergism can support the internal electron transfer rate and decrease the charge transfer activation energy (Gao et al., 2021).18 They have high adsorption capacity and photocatalytic activity. Among AB2O4 spinel oxides, CuB2O4 (B = Fe, Cr, Mn, and Al) is expected to have high adsorption capacity and photocatalytic activity.19
In this work, a spinel CuMn2O4 nanoflake adsorbent was used for the extraction of silver and lead in spice and water samples. It was synthesized and characterized by different methods. Up to now, there is no report in the literature on D-SPμE of silver and lead using a CuMn2O4 nanoflake sorbent. Especially, the number of works reported for D-SPμE of silver with nanomaterial adsorbents from various samples is very small. The spinel CuMn2O4 nanoflakes have a multistage porous structure. In its structure, tetrahedral and octahedral positions are occupied by a certain amount of Cu2+ and Mn3+ ions, respectively. Therefore, the synergism of Cu and Mn ions with different valences in the CuMn2O4 results in a greater number of active centers. Its abundant oxygen vacancies, and redox-active Cu2/Mn3+ centers provide specific binding sites and enhanced affinity18 for Ag(I) and Pb(II). The pH, eluent type/volume/concentration, volume of sample, adsorption/elution time, adsorption capacity of the CuMn2O4 and competing ion effects were examined. The linear range, detection limit (LOD), and precision as inter-day/intra-day of the method were tested. After the optimized D-SPμE method, it was applied in water (tap water, river water, wastewater, and well water), spices purchased from both a herbalist and supermarket (red pepper, black pepper, cinnamon, and cumin), and CRMs (BCR-482 Lichen, NW-TMDA-54.6 Lake water and SPS-WW1 Batch 121 Wastewater).
2 Experimental
2.1 Instrumentation
Silver and lead determination was performed by a- FAAS (AAnalyst 800 model, PerkinElmer, Waltham, MA, USA) with a 100 mm burner head. The instrumental conditions for Ag and Pb were as follows: resonance lines, 328.1 nm and 283.3 nm; currents, 10 mA and 10 mA; slit widths, 0.7 nm and 0.7 nm, respectively. The flame was produced with an air (17 L min−1) and acetylene (2.0 L min−1) mixture. To control the purity of the CuMn2O4, a- X-ray powder diffraction pattern (XRD) was measured at 2θ angles from 5° to 90° on a- X-ray diffractometer (PANalytical Empyrean with Cu-Kα tube, Malvern, UK). The surface characteristics and particle sizes of the CuMn2O4 were investigated using a field emission scanning electron microscope (FESEM, Zeiss, Gemini-500 Oberkochen, Germany) with an energy dispersive X-ray spectrometer (EDS). The Fourier transform infrared spectrum (FT-IR) of the CuMn2O4 was measured on a Perkin Elmer-400 FTIR spectrometer (ATR, Waltham, MA, USA) in the wavelength range of 450–4000 cm−1 to explore the functional groups of CuMn2O4. Zeta potential of the CuMn2O4 was measured using a Malvern Zetasizer Nano system (England). N2 adsorption/desorption isotherms were recorded using a Micromeritics Gemini VII instrument (Norcross, USA) to determine the pore size distribution and specific surface area of the CuMn2O4 powder. Before the measurement, the CuMn2O4 powder was degassed for 8 h at 300 °C. A vortex (Wiggen Hauser, Malaysia) and a Nüve NF 400 model centrifuge (Ankara, Türkiye) were used. A WTW pH 3110 meter (Weilheim, Germany) was used for pH adjustments. An analytical balance (Precisa 125 A SCS) was used for all weighings, and a hot plate (Elektromag M 4060) was used for acid digestions.
2.2 Reagents and solutions
All chemicals were obtained from Merck, Darmstadt, Germany. For synthesis of CuMn2O4, analytical grade Mn(CH3COO)2·4H2O, Cu(CH3COO)2·H2O, KOH, and ethylene glycol (EG) were used. Ultra-high purity water (U-HPW, 18.2 MΩ cm) was used in all experiments. U-HPW was prepared using a Millipore water purification system (Millipore Corp., USA). The Pb(II) stock solution (1000 mg L−1) was prepared from Pb(NO3)2 (Merck) in 1% nitric acid. An Ag(I) stock solution of 1000 mg L−1 was obtained from Merck, Darmstadt, Germany. Working and calibration solutions of Ag(I) and Pb(II) were prepared by diluting the stock solutions before use. As buffer solutions, H3PO4/NaH2PO4 buffer for pH 2.0 and 3.0, CH3COOH/CH3COONa buffer for pH 4.0, 5.0, and 6.0 and NH3/CH3COONH4 for pH 7.0 were used. For pH 1.0, only diluted HCl was used.
2.3 Synthesis of CuMn2O4
The porous CuMn2O4 spinel nanoflakes were synthesized according to the literature.18 In a nutshell, 0.10 mol L−1 Cu(CH3COO)2·H2O and 0.16 mol L−1 Mn(CH3COO)2·4H2O were dissolved in mixed ethylene glycol-U-HPW (VEG
:
VH2O = 1
:
9). Afterwards, 1 mol L−1 KOH solution was added dropwise to the mixture until the pH value was 10. After mixing with a magnetic stirrer for 12 hours at room temperature, the precipitate was separated by centrifugation. It was washed with U-HPW and ethanol a few times, and dried at 60 °C in an oven. Then, the powder was calcined at 650 °C for 4 h to obtain the CuMn2O4 nanoflake material.
2.4 Dispersive solid phase microextraction procedure
The D-SPμE procedure is shown in Fig. 1. It is described as follows: 100 mg of CuMn2O4 nanoflakes was added to 20 mL of an aqueous solution including 2 μg Ag(I) and 8 μg Pb(II). Then, the mixture's pH was adjusted to 2.0 by adding one milliliter of buffer solution (pH 2.0). Adsorption of analytes was carried out without vortexing. After extraction, the sorbent was separated from the adsorbent by centrifugation for 3 min. at 4100 rpm and the upper liquid was removed. Then 2 mL HCl (2 mol L−1) was added to the CuMn2O4 nanoflakes, and it was vortexed for 30 s. After centrifugation for 3 min. at 4100 rpm, the eluent was collected, and the concentrations of Ag and Pb were quantified by FAAS.
 |
| Fig. 1 D-SPμE procedure combined with FAAS. | |
2.5 Sample preparation
The CuMn2O4 nanoflakes as a sorbent were used for D-SPμE of analytes in various spices and waters. Tap water, river water, well water, and wastewater were collected from the research laboratory, Pınarbaşı, Bünyan, and Industrial Region in Kayseri, respectively. The samples were immediately filtered by a membrane filter (pore size 0.45 μm). Then the D-SPμE was applied for water samples of 20 mL, 10 mL of NW-TMDA-54.6, and 40 mL of SPS-WW1 Batch 121. The same type of spice was purchased from both a herbalist (n = 4) and supermarkets (n = 4) in Kayseri, Türkiye, and then dried for 2 hours at 40 °C and ground. For dissolving spices, 0.50 g of red pepper, black pepper, cinnamon, and cumin was weighed into glass beakers. After adding 10 mL (65%, w/w) of conc. HNO3 to the beaker, it was evaporated to dryness on a hot plate. After cooling, 3 mL (30%, w/w) of conc. H2O2 was added to the beaker, and the heating process to dryness was again applied.20 Then, 20 mL of U-HPW was added to each beaker, and the D-SPμE method was applied. 0.20 g of BCR-482 Lichen was weighed into a beaker. A concentrated HNO3 and HClO4 mixture (VHNO3
:
VHClO4 = 9
:
1) was added to the beaker.21 Then it was evaporated. After adding U-HPW of 20 mL to the beaker, the solution pH was adjusted to 2, and then the D-SPμE was done.
3 Results and discussion
3.1 Characterization of CuMn2O4
The XRD powder pattern of the porous CuMn2O4 spinel nanoflakes is given in Fig. 2a. As shown in Fig. 2a, the Fd
m space group and face-centered cubic structure of porous CuMn2O4 spinel nanoflakes are identified in the XRD pattern, matching well with standard JCPDS card no. 01-076-2296.18
 |
| Fig. 2 (a) XRD patterns of the CuMn2O4 nanoflakes. (b) FESEM micrographs of the CuMn2O4 nanoflakes (a) 5 kx, (b) 20 kx, (c) 50 kx. (c) EDS spectrum of CuMn2O4 nanoflakes. (d) N2 adsorption–desorption isotherms and pore size distribution curves of the CuMn2O4 nanoflakes. (e) FTIR spectrum of the CuMn2O4 nanoflakes. (f) Zeta potentials of the CuMn2O4 nanoflakes. | |
FESEM images of the CuMn2O4 are given in Fig. 2b. It is evident from the FESEM images that the CuMn2O4 nanoflake material has high porosity. Moreover, it can be described as disordered nanoparticles with a small size and multistage porous structure. The EDS spectrum and the elemental composition of the CuMn2O4 are given in Fig. 2c. As shown in Fig. 2c, the EDS spectrum indicates that the powder sample consists of Cu, Mn, and O elements, and their stoichiometries are close to the targeted values.
The FTIR spectrum of the CuMn2O4 nanoflake material is given in Fig. 2d. The absorption peaks in the range from 800 to 400 cm−1 are assigned to M–O lattice vibration. Especially, the two strong peaks at 582 cm−1 and 477 cm−1 correspond to Cu–O and Mn–O stretching vibration modes, respectively.18
The N2 adsorption/desorption isotherms and pore size distribution of the CuMn2O4 are given in Fig. 2e. N2 adsorption/desorption of the CuMn2O4 indicates type IV isotherms indicating the presence of meso- and macropores. The BET specific surface area and pore size of the material were calculated to be 6 m2 g−1 and 5–67 nm, respectively, representing its porous structure.
The zeta potential versus pH for CuMn2O4 is given in Fig. 2f. As can be seen from Fig. 2f, the adsorbent surface charge is negative for pH > 2.5 whereas it is positive for pH < 2.5.
3.2 Effect of pH
The sample pH affects the form of analytes and the surface charge of the sorbent.9 Therefore, the effect of sample pH on CuMn2O4 nanoflake adsorption of Ag(I) and Pb(II) was tested at different pH ranging from 1.0 to 7.0. The results are illustrated in Fig. 3a. The percentage recoveries (R%) for Pb(II) were quantitative at all the pH (R% = 92–100) whereas the adsorption of Ag(I) ions significantly increased with the increase from pH 1.0 to 3.0 and then was decreased with the increase from pH 4.0 to 7.0. At pH 1, the active groups on the CuMn2O4 nanoflake surface were protonated and therefore, repulsion between the active sites of the sorbent and silver ions occurred. Upon increasing the pH, the CuMn2O4 nanoflake adsorbent is deprotonated and in this case, a coordination interaction between the active sites of the sorbent and Ag(I) and Pb(II) ions may be possible. After pH 4.0, the silver ions' extractability was decreased owing to the competition of hydroxide ions with silver ions and hydrolysis of Ag(I).22 Besides, Ag(I) is more stable at acidic pH.23 According to these results, pH = 2.0 was used as the optimal pH. Another interaction between the analyte ions and adsorbent is electrostatic interaction owing to the negative surface charge of the CuMn2O4 nanoflakes. The zeta potential results (Fig. 2f) show that the surface charge of the CuMn2O4 nanoflakes is negative at pH > 2.5. With increasing solution pH, the negative charges on the CuMn2O4 nanoflakes increase and electrostatic attraction between the adsorbent and analyte increases, except for pH > 4.0 for the silver ions owing to Ag(I) hydrolysis. Despite the positive zeta potential of the adsorbent at pH 2.0, the high recoveries of Ag(I) and Pb(II) at pH 2.0 can be explained by surface complex formation through covalent coordinate binding between the analyte ions and CuMn2O4 nanoflake adsorbent. A similar comment was given by Tokalioglu et al., 2023.21 The lead mainly exists as Pb(II) and PbOH+ cations in the pH range from 2.0 to 6.0. The concentration of cationic species, i.e., Pb(II), starts to decrease at pH > 6.0 owing to its precipitation. The surface functional group available on the CuMn2O4 adsorbent surface resulted in surface complexation between Pb2+ and PbOH+.24
 |
| Fig. 3 Effect of analytical parameters on recoveries of Ag(I) and Pb(II) ions: (a) pH, (b) adsorption contact time, (c) elution contact time, (d) eluent concentration and volume, (e) sample volume. | |
3.3 Effect of adsorption and elution contact times
To ensure sufficient contact between the Ag(I) and Pb(II) ions and CuMn2O4 nanoflake sorbent, selection of appropriate contact times is necessary for adsorption/elution.20 In this work, the adsorption contact times of 0, 30 s, 1 min, 2 min, and 3 min and elution contact times of 0, 15 s, 30 s, 1 min, 2 min, and 3 min on the D-SPμE of Ag(I) and Pb(II) were examined. As shown in Fig. 3b, for all the adsorption contact times, the recoveries changed from 93 to 100% for Ag(I) and from 99 to 102% for Pb(II), which indicates that the adsorption equilibrium of analytes on CuMn2O4 nanoflakes could be reached without vortexing. Hence, in further tests based on the principle of saving energy and time, vortexing for the extraction of analytes was not done. The effect of elution contact time is given in Fig. 3c. The results revealed that the Ag(I) recoveries increased with increasing elution contact times from 0 to 3 min. Ag(I) elution was quantitative for contact times ≥30 s, while the elution of Pb(II) could be realized without vortexing. In the subsequent experiments, an elution contact time of 30 s for Ag(I) and Pb(II) was chosen. The results without vortexing adsorption and elution of 30 s show that a rapid diffusion in the nanosorbent would provide a high adsorption rate.25,26
3.4 Effect of eluent volume/type/concentration
Elution conditions were investigated to elute the adsorbed analytes from the CuMn2O4 nanoflakes completely.27 Different volumes and concentrations of HNO3 and HCl were examined. In this work, 3 mL of 1 mol L−1 HCl, 2 mL, 3 mL and 5 mL of 2 mol L−1 HCl, and 2 mL of 2 mol L−1 HNO3 solutions were investigated as eluents (Fig. 3d). The results revealed that 2–5 mL of 2 mol L−1 HCl solutions was sufficient to elute quantitatively the analyte ions, whereas the recoveries were low for other eluents. The Ag(I) and Pb(II) recoveries were 95 and 97%, respectively, when 2 mL of 2 mol L−1 HCl eluent was used. Consequently, it was chosen to desorb the metal ions on CuMn2O4 nanoflakes.
3.5 Effect of sample volume
The volume of the sample affects the preconcentration factor (PF). For this, 2 μg Ag(I) and 8 μg Pb(II) were added to the volumes of 20, 30, 40, 50, 60, 80, and 100 mL containing 100 mg adsorbent at pH 2.0. The results are given in Fig. 3e. All solutions were extracted using adsorption without vortexing/30 s elution time. The D-SPμE quantitative recoveries could be obtained when the volumes of 20 and 30 mL for Ag(I) and 20–45 mL for Pb(II) ions were used. The analyte recoveries were decreased for changing volumes from 50 to 100 mL. Therefore, PF for analytes was calculated as 15 for Ag(I) and 22.5 for Pb(II), which was the highest sample volume/eluent volume. A 30 mL volume was chosen as the highest volume to determine Ag(I) and Pb(II) simultaneously and to obtain a lower method LOD. Based on the above results, the optimized D-SPμE conditions were pH 2.0; extraction time, no vortexing and elution time, 30 s; eluent volume, 2 mL; eluent concentration, 2 mol L−1 HCl; and sample volume, 30 mL.
3.6 Effect of competing ions
In order to interact with the sorbent, there is a competition between the analyte and the interfering species.13,21 Therefore the effect of interfering ions like K+, Ca2+, Na+, Mg2+, Zn2+, Fe3+, Al3+, and SO42− was examined to evaluate the D-SPμE selectivity. Solutions of 20 mL containing 0.1 mg L−1 Ag(I), 0.4 mg L−1 Pb(II), and interfering ions at increasing concentrations were treated with the optimized D-SPμE (pH 2.0, no vortexing extraction/30 s elution, 2 mL of 2 mol L−1 HCl elution). The results of the interfering ions are listed in Table S1.† The tolerance limits are defined as the highest interfering ion concentration making a variation of ±10% (R% = 90–110) in the recoveries of analytes (Table 1). The tolerable concentrations (in mg L−1) for the D-SPμE of Ag(I) and Pb(II) were 500 and 750 for Na+, 100 and 10
000 for K+, 75 and 25
000 for Ca2+, 75 and 25
000 for Mg2+, 50 and 50 for Fe3+, 50 and 50 for Al3+, 10 and 25 for Zn2+, and 25 and 100 for SO42−, respectively. As can be seen from Table 1, the tolerance limits for Pb(II) are higher than those of the Ag(I). Besides, the tolerance limits for Ag(I) have a negligible effect on its D-SPμE in real samples. Hence, it can be concluded that the CuMn2O4 nanoflakes have a satisfactory selectivity for the Ag(I) and especially Pb(II) ion adsorption, which is used for the D-SPμE of analyte ions in water and spice samples.
Table 1 Tolerance limits (TL) of coexisting ions for the D-SPμE of Ag(I) and Pb(II)
Foreign ion added |
Salt |
Ag(I) |
Pb(II) |
Tolerance limit, mg L−1 |
R (%) ± SD |
Tolerance limit, mg L−1 |
R (%) ± SD |
Na+ |
NaCl |
500 |
90 ± 3 |
750 |
93 ± 2 |
K+ |
KCl |
100 |
91 ± 2 |
10 000 |
95 ± 1 |
Ca2+ |
Ca(NO3)2·4H2O |
75 |
91 ± 2 |
25 000 |
94 ± 3 |
Mg2+ |
Mg(NO3)2·6H2O |
75 |
93 ± 1 |
25 000 |
90 ± 3 |
Fe3+ |
Fe(NO3)3·9H2O |
50 |
90 ± 2 |
50 |
90 ± 0 |
Al3+ |
Al(NO3)3·9H2O |
50 |
90 ± 2 |
50 |
92 ± 3 |
Zn2+ |
Zn(NO3)2·6H2O |
10 |
92 ± 3 |
25 |
92 ± 2 |
SO42− |
Na2SO4 |
25 |
96 ± 2 |
100 |
93 ± 3 |
3.7 Adsorption capacity of CuMn2O4 nanoflakes
CuMn2O4 nanoflakes' adsorption capacity was examined by using the solutions of 20 mL, including the 250 mg L−1 Ag(I) or 250 mg L−1 Pb(II) ions. The optimized D-SPμE, pH 2.0, extraction without vortexing and elution time of 30 s, 2 mL of 2 mol L−1 HCl elution was applied to these solutions. After centrifuging, the upper liquid was diluted 10-fold for Ag(I) and 10-fold for Pb(II). The adsorption capacity (qe) equation is as follows:where qe is the adsorption capacity in mg g−1, Co is the initial concentration of Ag(I) and Pb(II) in mg L−1, Ce is the equilibrium concentration in mg L−1, V is the volume in L, and W the adsorbent weight (g). The adsorption capacities of CuMn2O4 nanoflakes were found to be 42.4 ± 0.3 mg g−1 for Ag(I) and 42.7 ± 0.3 mg g−1 Pb(II).
3.8 Reusability of the adsorbent
The regeneration and stability of CuMn2O4 nanoflakes are the key factors in terms of adsorbent performance.4 In the current work, 100 mg CuMn2O4 nanoflakes used in the D-SPμE procedure were rinsed with 5 mL U-HPW after each use. To evaluate the re-usability of CuMn2O4 nanoflakes, the Ag(I) and Pb(II) recoveries were used. The stability of the adsorbent was investigated by testing the decrease in the Ag(I) and Pb(II) recoveries by performing multiple adsorption–elution cycles at pH 2.0, no vortexing extraction/30 s elution, and 2 mL of 2 mol L−1 HCl elution conditions. The results revealed that the CuMn2O4 nanoflakes can be reused 20 times with 90% ± 3 for Ag(I) and 93% ± 3 for Pb(II) (average recovery ± SD). In subsequent experiments, a decrement in the Ag(I) and Pb(II) recoveries was observed because of the decreased adsorbent amount owing to the dissolution after multiple elutions with 2 mol L−1 HCl.
3.9 Analytical figures of merit
The limit of detection (LOD) for analytes of the D-SPμE method was described as 3SD/b. The D-SPμE was applied for twenty blank solutions of 30 mL for Ag(I) and 45 mL for Pb(II) (optimized conditions: pH 2.0, no vortexing extraction/30 s elution, eluent: 2 mL of 2 mol L−1 HCl). It was 1.7 μg L−1 for Ag(I) and 2.1 μg L−1 for Pb(II) with PFs of 15 and 22.5, respectively. The calibration curves with eight standards for Ag(I) and seven standards for Pb(II) revealed good linearity. The linear ranges for analytes with the D-SPμE were achieved in the concentration range of 6.67–333 μg L−1 for Ag(I) and 22–444 μg L−1 for Pb(II) with determination coefficients (R2) of 0.9989 for Ag(I) and Pb(II). The linear ranges for analytes without the D-SPμE were obtained in the range of 0.10–5.0 mg L−1 with R2 = 0.9995 for Ag(I) and 0.50–10 mg L−1 with R2 = 0.9998 for Pb(II). The intra- and inter-day precisions (as RSD%) were determined by analysis of 20 mL solutions including 0.1 mg L−1 Ag(I) and 0.4 mg L−1 Pb(II) with seven experiments on the same day for intra-day and three different days for inter-day RSD%. The intra- and inter-day RSDs were 2.0% and 2.7% for Ag(I) and 2.2% and 3.1% for Pb(II), respectively.
3.10 CRM, water, and spice analyses
The reliability of D-SPμE results was assessed by analysis of BCR-482, SPS-WW1 Batch 121 and NW-TMDA-54.6 and by recovery studies in water and spices. The Ag and Pb concentrations achieved using the D-SPμE agreed with the CRM results (Table 2). Different sample matrices, tap water, wastewater, well water, and river water, and also red pepper, black pepper, cinnamon, and cumin purchased both from a herbalist and supermarkets, were investigated to evaluate the D-SPμE's accuracy and applicability. The analysis results with recovery values for the spiked water and spices are given in Tables 3 and 4, respectively. The percentage recoveries for the analytes changed between 88 and 102% for water and 89 and 102% for spices. The Student's t-test was applied to compare data for the same type of spice purchased from a supermarket and herbalist. The texperimental for the three replicates of the spices is lower than their tcritical (t0.05,4 = 2.78) values. There is no significant difference between the spice data for p = 0.05, except for silver in red pepper. Silver concentrations in the black pepper were found to be lower than its limit of quantification. The concentrations of spices changed from 0.02 μg g−1 to 0.37 μg g−1 for Ag and from 1.17 μg g−1 to 2.17 μg g−1 for Pb. The red pepper for Ag and cumin for Pb had the highest concentrations. The results reveal that the D-SPμE is selective (especially for lead), accurate, reliable and sensitive to determine silver and lead in water and spice matrices.
Table 2 Analysis results of CRMs
Element |
NW-TMDA-54.6 Lake water |
SPS-WW1 Batch 121 Wastewater |
BCR-482 Lichen |
Certifieda (μg L−1) |
Foundb (μg L−1) |
R% |
Certified (μg L−1) |
Found (μg L−1) |
R% |
Certified (μg g−1) |
Found (μg g−1) |
R% |
At a confidence level of 95%. Average concentration ± SD. No certified. 10.0 μg per g Ag was added. |
Ag |
12.9 ± 1.1 |
12.5 ± 2.5 |
97 |
c |
— |
— |
c,d |
9.21 ± 0.14 |
92 |
Pb |
490 ± 30 |
486 ± 0 |
99 |
100.0 ± 0.5 |
99.0 ± 5.0 |
99 |
40.9 ± 1.4 |
37.5 ± 1.0 |
92 |
Table 3 Analysis results of silver and lead in water (pH 2.0, no vortexing adsorption and 30 s elution time, eluent, 2 mL of 2 mol L−1 HCl)
Sample |
Ag |
Pb |
Added (μg L−1) |
Founda (μg L−1) |
R% |
Added (μg L−1) |
Founda (μg L−1) |
R% |
Average concentration ± SD, n = 3. |
River water |
— |
9 ± 1 |
|
— |
54 ± 11 |
|
50 |
54 ± 1 |
90 |
200 |
234 ± 9 |
90 |
100 |
102 ± 2 |
93 |
400 |
422 ± 9 |
91 |
Wastewater |
— |
3 ± 0 |
|
— |
43 ± 0 |
|
50 |
53 ± 3 |
100 |
200 |
218 ± 0 |
88 |
100 |
104 ± 2 |
101 |
400 |
404 ± 9 |
90 |
Well water |
— |
6 ± 0 |
|
— |
50 ± 11 |
|
50 |
57 ± 3 |
102 |
200 |
226 ± 11 |
88 |
100 |
108 ± 2 |
102 |
400 |
420 ± 9 |
93 |
Tap water |
— |
<LOQ |
|
— |
<LOQ |
|
50 |
45 ± 1 |
90 |
200 |
190 ± 10 |
95 |
100 |
93 ± 1 |
93 |
400 |
391 ± 10 |
98 |
Table 4 Analysis results of silver and lead in spices (pH 2.0, no vortexing adsorption and 30 s elution time, eluent, 2 mL of 2 mol L−1 HCl)
Sample |
Ag |
Pb |
Added (μg g−1) |
Founda (μg g−1) |
R% |
Added (μg g−1) |
Founda (μg g−1) |
R% |
Average concentration ± SD, n = 3. It was obtained from a supermarket. It was obtained from a herbalist. |
Red pepper-Mb |
— |
1.16 ± 0.08 |
|
— |
4.68 ± 0.40 |
|
2 |
3.12 ± 0.16 |
98 |
8 |
11.8 ± 0.4 |
89 |
4 |
4.96 ± 0.20 |
95 |
16 |
19.3 ± 0.4 |
91 |
Red pepper-Hc |
— |
1.48 ± 0.08 |
|
— |
5.84 ± 1.00 |
|
2 |
3.44 ± 0.04 |
98 |
8 |
13.0 ± 0.4 |
90 |
4 |
5.25 ± 0.08 |
94 |
16 |
20.4 ± 0.7 |
91 |
Black pepper-Mb |
— |
<LOQ |
|
— |
6.88 ± 0.48 |
|
2 |
1.96 ± 0.08 |
98 |
8 |
14.2 ± 0.7 |
92 |
4 |
3.72 ± 0.04 |
93 |
16 |
22.1 ± 1.4 |
95 |
Black pepper-Hc |
— |
<LOQ |
|
— |
8.40 ± 1.08 |
|
2 |
2.04 ± 0.04 |
102 |
8 |
15.6 ± 0.7 |
90 |
4 |
3.80 ± 0.04 |
95 |
16 |
23.2 ± 1.4 |
93 |
Cinnamon-Mb |
— |
0.08 ± 0.00 |
|
— |
5.12 ± 0.68 |
|
2 |
2.00 ± 0.04 |
96 |
8 |
12.6 ± 0.8 |
94 |
4 |
4.00 ± 0.04 |
98 |
16 |
19.7 ± 0.7 |
91 |
Cinnamon-Hc |
— |
0.12 ± 0.04 |
|
— |
5.84 ± 0.28 |
|
2 |
2.12 ± 0.04 |
100 |
8 |
13.0 ± 0.4 |
90 |
4 |
4.00 ± 0.16 |
97 |
16 |
20.4 ± 1.2 |
91 |
Cumin-Mb |
— |
0.28 ± 0.08 |
|
— |
7.56 ± 0.48 |
|
2 |
2.24 ± 0.04 |
98 |
8 |
14.9 ± 0.7 |
92 |
4 |
4.28 ± 0.12 |
100 |
16 |
23.0 ± 0.4 |
97 |
Cumin-Hc |
— |
0.40 ± 0.04 |
|
— |
8.68 ± 0.48 |
|
2 |
2.36 ± 0.08 |
98 |
8 |
15.9 ± 0.8 |
90 |
4 |
4.36 ± 0.04 |
99 |
16 |
23.9 ± 1.4 |
95 |
3.11 Comparison with other D-SPμE methods
A comparison table for the D-SPμE of Ag(I) and Pb(II) is given in Table 5. The D-SPμE work done with Ag(I) is very few. The main superiority of the described method is to reach equilibrium very quickly without vortexing adsorption and 30 s elution. Besides the D-SPμE has higher re-usability (20 times), comparable or higher adsorption capacity (except for ref. 6 and 27), better precision (except for ref. 28, 33 and 34) and more acidic working pH. For Pb(II), it has higher tolerable Na+, K+, Ca2+, and Mg2+ concentrations. Hence, the method's applicability for various water and spice matrices is rather high. Moreover, the CuMn2O4 nanoflakes are prepared easily and have low toxicity. It revealed lower LOD and wider or comparable linear ranges to those of works done using FAAS (except for ref. 29 and 30). Because of these reasons, the CuMn2O4 nanoflakes are preferred for the D-SPμE of silver and lead ions.
Table 5 Comparison with other D-SPμE methods reported on nanomaterials of the present D-SPμE for silver and lead determination
Adsorbent/extraction technique/determination technique |
|
pH |
Adsorption capacity (mg g−1) |
PF or EF |
LOD (μg L−1) |
Adsorption/elution contact time (minute) |
Intra-day/inter-day RSD (%) |
LDR (μg L−1) |
Tolerable major matrix ion concentration (mg L−1) |
Re-useability |
Sample |
Ref. |
MOF-808(Zr)-Tz/D-SPμE/FAAS |
Ag |
7 |
64 |
15 |
2.1 |
1/3 |
2.1/2.5 |
8–225 |
Na+ 5000, K+ 5000, Ca2+ 10 000, Mg2+ 10 000 |
9 |
Dam water, river water, well water, seawater, wastewater |
6 |
Silica-coated magnetic graphene oxide/MSPE/ICP-MS |
Ag, Pb |
5 |
141.09, 168.55 |
60 |
0.014, 0.004 |
4/3 |
≤6.55, ≤5.33 |
0.1–60, 0.05–60 |
Na+ 8000, K+ 8000, Ca2+ 3000, Mg2+ 3000 |
5 |
Mineral water, well water, influent, and effluent wastewater |
27 |
GO-TiO2-DES/DμSPE/ICP-OES |
Pb |
5 |
46.6 |
28 |
0.24 |
2/9 |
1.60/2.62 |
|
Na+ 2000, K+ 10 000, Ca2+ 100, Mg2+ 200 |
6 |
P. polyphylla var.yunnanensis |
28 |
Fe3O4-decorated and silica-coated graphene oxide modified with a polypyrrole–polythiophene copolymer/MSPE/FAAS |
Ag |
4.8 |
49 |
125 |
0.1 |
6.3/15.5 |
2.7 |
0.5–500 |
Na+ 2000, K+ 2000, Ca2+ 200, Mg2+ 200 |
|
Wastewater, sea water, and road dust |
29 |
Magnesium(II)-doped nickel ferrite/MDSPE/FAAS |
Pb |
4.5 |
29.7 |
200 |
0.2 |
15/10 |
1.6/3.8 |
0.5–125 |
Na+ 50, K+ 50, Ca2+ 50, Mg2+ 50 |
20 |
Tap water, river water, underground water, and wastewater |
30 |
Humic acid-modified magnetic nanoparticles/MDSPE/FAAS |
Pb |
6 |
25 |
4.9 |
2/2 |
3.1/3.9 |
30–500 |
Na+ 100, K+ 50, Ca2+ 2, Mg2+ 10 |
|
Tap water, drinking water, and river water |
31 |
|
A magnetized graphene oxide modified with 2-mercaptobenzothiazole/MSPE/ICP-OES |
Ag |
4 |
45 |
140 |
0.045 |
15/5 |
3.11 |
1.0–25000 |
Na+ 250, K+ 400, Ca2+ 500, Mg2+ 500 |
5 |
Rock |
32 |
Deep eutectic solvent functionalized cobalt ferrite nanoparticles/DμSPE/ICP-OES |
Pb |
5 |
|
|
0.62 |
3 |
1.9/2.6 |
2.12–200 |
Na+50, K+50, Ca2+40, Mg2+45 |
5 |
Fruit juice, tap water, and wastewater |
33 |
Magnetic multiwalled carbon nanotubes/zeolite nanocomposite/UA-MDSPE/ICPOES |
Pb |
8.3 |
37.8 |
|
0.023 |
20 |
1.6/2.6 |
0.1–500 |
Na+1000, K+1000, Ca2+1000, Mg2+1000 |
11 |
Wastewater |
34 |
CuMn2O4 nanoflakes/D-SPμE/FAAS |
Ag, Pb |
2 |
42.4, 42.7 |
15, 22.5 |
1.7, 2.1 |
No vortexing/30 s |
2.0/2.7, 2.2/3.1 |
6.67–333, 22–444 |
Na+, 250 and 750; K+, 100 and 10 000; Ca2+, 75 and 25 000; Mg2+, 75 and 25 000 for Ag and Pb, respectively |
20 |
River water, well water, tap water, wastewater, - black pepper, red pepper, cinnamon and cumin |
This work |
4 Conclusions
In this work, we reported CuMn2O4 nanoflakes as an adsorbent for the D-SPμE of Ag(I) and Pb(II) ions in various water, black pepper, red pepper, cinnamon and cumin samples purchased from both a herbalist and supermarkets. The Student's t-test shows that there is no significant difference between the results for p = 0.05, except for silver in red pepper. The D-SPμE using 100 mg adsorbent was optimized at pH 2.0, with short contact times (without vortexing adsorption and 30 s for desorption) and 2 mL of HCl (2.0 mol L−1) eluent. Selectivity of the adsorbent (especially for lead), re-usability (20), low cost, low toxicity, and simple synthesis are important advantages of this work. Also, the chelating reagent was not used. The developed D-SPμE method can be used as a cheap, simple, fast, selective, sensitive, and accurate method. Finally, CuMn2O4 nanoflakes can be preferred as a good adsorbent for D-SPμE of silver and lead ions in spices and water.
Data availability
The data supporting this article have been included in the article.
Author contributions
Şerife Tokalıoğlu: writing – review & editing, writing – original draft, visualization, supervision, validation, conceptualization, project administration, investigation, methodology, funding acquisition. Samet Pekşin: validation, investigation, methodology. Yakup Yılmaz: writing – review & editing, investigation, methodology, visualization. Şaban Patat: writing – review & editing.
Conflicts of interest
There are no conflicts to declare.
Acknowledgements
This study was supported by a grant from the Scientific Research Project Unit of Erciyes University, Türkiye (Grant No. FYL-2024-13747). We would like to thank the Proofreading & Editing Office of the Dean for Research at Erciyes University for the copyediting and proofreading service for this manuscript.
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