Skip to main content
  • Research article
  • Open access
  • Published:

Potentiometric sensor for iron (III) quantitative determination: experimental and computational approaches


The current work deals with fabrication and validation of a new highly Fe3+ selective sensor based on benzo-18-crown-6 (b-18C6) using the potentiometric method. The proposed sensor revealed satisfactory performance for quantitative evaluation of Fe3+ trace amount in environmental samples. The ratio of membrane ingredients optimized and the membrane with the composition of 4:30:65.5:0.5 mg of b-18C6:PVC:o-NPOE:KTpClPB exhibited the desirable Nernstian slope of 19.51 ± 0.10 (mV per decade of activity) over the pH range from 2.5 to 5.7 with an acceptable dynamic concentration range of 1.0 × 10−6 M to 1.0 × 10−1 M and lower detection limit of 8.0 × 10−7 M. The proposed sensor demonstrated an appropriate reproducibility with a rapid response time of 12 s and the suitable lifetime of 10 weeks. To validate the accurate response of the proposed sensor, AAS technique applied for the determination of Fe3+ in real aqueous mediums such as drinking tap water and hospital wastewater sample after treatment by electrocoagulation process. Theoretical studies carried out using DFT/B3LYP computational level with 6-311G basis set to optimize the adsorption sites of Fe+3 cationic species by b-18C6. The obtained adsorption energy with large negative value confirmed the formation of a stable complex.


Iron as a heavy metal and its compounds extensively distributed in nature at various concentrations and play an important role in biological systems, especially electron transfer cycle [1,2,3]. Iron could pass into aqueous mediums via various procedures such as discharging of wastes, chemical corrosion of pipe which applied in the water distribution system as well as produced coagulants through electrocoagulation process using iron electrodes for the treatment of water. Iron deficiency caused anemia, while its high levels create hemochromatosis disease [2]. Iron speed up the growing of iron bacteria which get their energy from the oxidation of ferrous iron to ferric form that caused the deposition of a coating of viscous on the surface of the pipe [4]. Therefore, evaluation of iron content in the aqueous medium and developing the diagnostic tools for quantitative determination of its trace amount received extraordinary attention.

Various methods for determination of iron developed including catalytic spectrophotometric flow injection analysis [5], colorimetry [6], spectrophotometry [7], liquid–liquid microextraction [8], and ion selective electrodes [1,2,3,4, 9]. Using ion-selective electrodes (ISEs) provides a valuable tool for the determination of the specific ionic target concentration with the simultaneous existence of interfering ionic species in the aqueous medium [10]. It is noteworthy to mention that compared to instrumental techniques the new developed ISEs offer much cheaper analysis with satisfactory dynamic concentration range and detection limit [11, 12]. Due to the considerable advantages of ISEs including simple preparation and application, superior reproducibility with high selectivity and high-speed response, they received high attention for environmental, agricultural and industrial analysis [13,14,15].

Crown ethers; received extraordinary attention by many research groups as an important category of macrocyclic host molecules for the last two decades. Benzo-18-crown-6 is a versatile receptor with a three-dimensional structure which makes it capable to form a stable complex with high selectivity and efficient binding properties towards Fe3+ as the target ion [16, 17]. Host–guest chemistry of benzo-18-crown-6 which makes it a suitable ionophore for constructing the current potentiometric sensor includes the weak and reversible nature of non-covalent intermolecular interactions with Fe3+ ions through coordination bonds between the donor atoms of oxygen with the Fe3+ ions, as well as π-coordination of the Fe3+ ions with the benzene ring [18] (see Fig. 1).

Fig. 1
figure 1

Chemical structure of benzo-18-crown-6

It is noteworthy to mention that, the polymeric membrane is the most considerable issue in fabrication of ion selective electrode. It consists of polymeric matrix, ionophore, plasticizer and lipophilic additive. The polymeric membrane physically separates the internal filling solution from the sample solution and it is the source of the signal generated by the ISE. The nature and amount of each component have a significant effect on the characteristics performance of the ISE.

Many polymers have been utilized as a matrix in fabrication of ion selective membranes which provide considerably good mechanical strength properties and structural integrity for the membrane [19]. High molecular weight polyvinyl chloride (PVC) with high glass transition temperature (Tg = 80 °C) is a brittle polymer at ambient conditions, hence using of plasticizer is unavoidable to reduce the value of the Tg. The ionophore is a macrocyclic compound which can selectively bind to the target ion and act as ion carrier for transferring ions from aqueous phase into the polymeric membrane phase. The complex formation constant between ionophore and target ion must be high enough to provide a complex with considerable selectivity in membrane phase. However, the value of the mentioned constant should not be so large in order to avoid the formation of kinetically irreversible complex [20].

Plasticizer plays an important role on optimizing the physical properties of the membrane by reducing the high glass transition temperature of PVC, as well as increasing the mobility of the active species and enhancing the flexibility of the polymer chain [21]. Also, it provides a good ionic conductivity under the ambient conditions which allow the diffusion of the membrane components into a homogenous lipophilic environment. Moreover, the nature of plasticizer significantly affected the selectivity and measuring range of ISEs [22]. It is known that the addition of proper lipophilic additive to membrane demonstrates a significant improve in the characteristic performance of ion selective electrode such as selectivity, stability and response time. Besides, it reduce the membrane impedance [20]. Even though the presence of ion exchangers in the membrane provides beneficial effects, but the excess amount of it declines the electrode performance [23].

The literature review revealed that the recently developed iron (III) selective electrodes suffered from undesirable characteristics such as low selectivity with narrow solution pH range as well as limited concentration range and lengthy runtime [1,2,3,4, 9]. Therefore, herein, a new iron (III) selective electrode with satisfactory characteristic performance developed and successfully applied for evaluation of iron (III) content in various aqueous mediums.



All chemicals are analytical grade and used without any additional refinement. Polyvinyl chloride (PVC) with high molecular weight, benzo-18-crown-6 (b-18C6) and all investigated salts (nitrate and chloride) purchased from Merck company. Sodium tetraphenylborate (NaTPB), 2-nitrophenyl octyl ether (o-NPOE), tetradodecylammonium tetrakis(4-chlorophenyl)-borate (TDATpClPB), nitrobenzene (NB), Dioctyl phthalate (DOP), potassium tetrakis(4-chlorophenyl)borate (KTpClPB), dibutyl phthalate (DBP), tetrahydrofuran (THF), and sodium tetrakis [3,5-bis (trifluoromethyl) phenyl] borate (NaTFPB) obtained from Sigma-Aldrich, and Scharlau company. For pH adjustments, hydrochloric acid (HCl) and sodium hydroxide (NaOH) used. Hydrogen peroxide (H2O2) which used as an oxidant to oxidize Fe(II) to Fe(III) in real samples purchased from Merck. De-ionized water used to prepare all daily solutions.

Apparatus and potential measurement

Metrohm 827 pH/mv meter applied for the potential measurements using Metrohm Ag, AgCl/3 M KCl reference electrodes and Mettler Toledo pH electrode at 25 °C. A Varian Atomic Absorption Spectrometry (Model AA240) and Optizen UV–Visible spectrophotometer (model 3220UV) employed for validation of sensor response and evaluation of complex reaction between the ionophore and iron (III), respectively. SEM (Philips model XL30E SEM) and FT-IR (Bruker model Alpha) were used to validate, identify and characterization of the synthesized membrane. A de-ionized water system (Smart2Pure model TKA) to supply water requirements was used throughout the study. The following electrochemical call employed for EMF measurements:

Ag/AgCl ref. electrode, KCl (3 M)║sample solution│selective polymeric membrane│ 1.0 × 10−3 M Fe(NO3)3 standard solution║ Ag/AgCl ref. electrode, KCl (3M).

Electrode and real sample preparation

The amount of 4.0 mg b-18C6, 30.0 mg PVC, 65.5 mg o-NPOE, and 0.5 mg KTpClPB dissolved in 3 ml THF to prepare the polymeric membrane. The prepared solution concentrated until a viscose mixture achieved and afterward employed for preparing a polymeric membrane with the thickness of 0.3 mm at the end of the Pyrex tube with 3 mm i.d that finally filled with the 1.0 × 10−3 M Fe(NO3)3 standard solution.

To analyze the drinking tap water and hospital wastewater which treated through the electrocoagulation process, the standard addition method applied. For oxidizing iron (II) into iron (III) a mix of 5 mL H2O2 and 5 mL of HNO3 both 1 N added to the real samples.

Computational methods

Theoretical studies carried out using DFT/B3LYP computational level with 6-311G basis set to optimize the adsorption sites of Fe+3 cationic species by b-18C6 using the Gaussian 09 program package. Natural bond orbital (NBO) analysis carried out to investigate the strength and nature of the intermolecular interactions of the formed complex. The charge distribution on the structure of the formed complex investigated.

Results and discussion

Potentiometric Response and membrane optimization process

The responses of the proposed sensor towards various ions investigated over the wide concentration variety and showed in Fig. 2. The obtained results indicated a preferred complex formation between b-18C6 and Fe(III) in comparison to the other investigated ions with the satisfactory Nernstian slope of 19.51 mV per decade of activity. The observed behaviour may be attributed to the rapid exchange kinetics of the generated complex [24, 25].

Fig. 2
figure 2

The potential responses of PVC membrane sensor based on b-18C6 towards monovalent cations (a), bivalent cations (b), and trivalent cations (c) at 25 °C

It can be concluded from the characteristic performance of the proposed electrode, membrane ingredients significantly affected the Nernstian response. As seen from the Table 1, besides the importance of ionophore nature in constructing a selective membrane sensor, the sensitivity and selectivity of the ISEs are significantly affected by the composition of membrane [26]. Therefore, effects of various parameters such as different amount of membrane ingredients as well as different type and amount of plasticizers and lipophilic additives on the potential responses of fabricated selective electrodes were investigated.

Table 1 Optimization of the membrane composition to fabricate high iron (III) selective electrode

The literature surveys were in accordance with the acquired results, which indicated that the characteristic performance of the developed sensor in the term of sensitivity and selectivity affected meaningfully by changing the amount of employed ionophore [27]. In addition, it found that the membrane containing o-NPOE as a plasticizer with higher dielectric constant exhibited the best Nernstian response which is perhaps due to the facilitating the Fe+3 extraction from aqueous solution to the membrane phase [28, 29]. Among various anion excluder used in the current work, KTpClPB demonstrated better linear range with an acceptable Nernstian slope. Lipophilic additives diminished the anionic interference effects and by decreasing the ohmic resistance of the membrane enhanced the cation extraction process [29, 30].

In order to improve the performance of the proposed sensor, standard internal solutions with different concentration introduced to the working electrode. The standard internal solution of 1.0 × 10−3 M Fe(NO3)3 demonstrated the best electrochemical performance which used for further studies. The mentioned concentration used for equilibrating the electrodes over the night (Table 2).

Sensor characterization

To generate the calibration curve, the proposed electrode was conditioned in 1.0 × 10−2 M solution of the Fe3+ ions for 24 h. The potential responses of fabricated sensor over a very wide concentration range of 1.0 × 10−8 M to 1.0 × 10−1 M were obtained and showed in Fig. 3A. The proposed electrode demonstrated an acceptable performance over the examined centration range. The value of 19.51 ± 0.10 mV per decade of activity and 8.0 × 10−7 M found as its repeatable slope and detection limit, respectively.

Fig. 3
figure 3

The Fe3+ selective electrode characterization; A Calibration graph, B The dynamic response time of the for step changes in the concentration of iron solution: (a) 1.0 × 10−6 M, (b) 1.0 × 10−5 M, (c) 1.0 × 10−4 M, (d) 1.0 × 10−3 M, (e) 1.0 × 10−2 M and (f) 1.0 × 10−1 M. C The pH effect of the sample solutions on the potential response. D Potentiometric titration curve of iron ion (1.0 × 10−3 M, 50 mL) with standard EDTA solution (1.0 × 10−2 M) using fabricated electrode based on b-18C6 as an indicator electrode at 25 °C

Repeatability of the developed sensor investigated and the obtained slope was found to be 19.51 ± 0.10 mV per decade of activity. Moreover, the reproducibility parameter for the proposed sensor revealed a satisfactory Nernstian slope of 19. 44 ± 0.28 mV per decade of activity. In accordance with the SEM studies, the variation in the morphology and thickness of the fabricated polymeric membranes may result in small changes in the extraction equilibrium of target ion at the interface of sample solution aqueous layer and fabricated membrane [31].

Table 2 Characterization of proposed iron (III) sensor in the term of repeatability and reproducibility

The dynamic response time as a significant operating parameter for the performance evaluation of the developed sensor investigated and it found to be about 12 s. The observed behaviour attributed to the fast exchange kinetics of complexation-decomplexation process between investigated cation at the boundary of the polymeric selective membrane with the examined solution (see Fig. 3B).

To investigate the stability of the membrane and lifetime of the proposed sensor, they were used daily for at least 2 h and the obtained slopes summarized in Additional file 1. The obtained slopes indicated that the proposed sensor could be used practically for almost 10 weeks. It found that the observed slope changed from the initial value of 19.51 ± 0.10 to the final value of 18.57 ± 0.44 mV per decade of activity after 10 weeks which probably attributed to the leaching of membrane ingredients [32].

The potential response of the proposed sensor was found to be pH independent over the satisfactory range of 2.5 to 5.7 (see Fig. 3C). The drift at pH lower than 2.5 probably attributed to the high concentration of H3O+ ions which cooperate in process of charge transport of the fabricated membrane. Whereas at pH value higher than 5.7, because of hydroxyl complexes formation the observed potential response of the developed sensor changed [33, 34].

On the other hand, the proposed sensor employed for potentiometric titration of Fe(NO3)3 solution by EDTA standard solution. The obtained titration curve revealed a successful titration process with a standard sigmoidal shape indicates the stoichiometry of 1:1 for the formed EDTA- Fe3+ complex (see Fig. 3D).

Separate solution method (SSM) applied to evaluate the selectivity coefficient of the proposed sensor. The applied concentration for both of analyte and interfering ions adjusted at 1.0 × 10−2 M. As seen from Table 3, the selectivity coefficient for examined interfering ions was found to be in the order of 10−3 to 10−5. The obtained values showed that in comparison to the earlier described iron (III) sensor a considerable improvement observed [2, 3].

Table 3 Proposed iron (III) sensor selectivity coefficient on separate solution method

Membrane characterization

In the current work the FT-IR investigation employed as qualitative technique to evaluate the prepared membrane in the term of lifetime (see Fig. 4I). Evidently, the existence of b-18C6 in membrane composition confirmed by the strong absorption band appeared in 1280 cm−1 frequency due to C–O sp3 stretching. The presence of o-NPOE deduced by its two strong absorption bands associated with the nitro functional group (NO2) including an asymmetric and a symmetric stretching vibration appear at 1526 cm−1 and 1353 cm−1, respectively. Moreover, the observed absorption bands at 745 cm−1 and 1081 cm−1 which related to C–Cl and B–C stretching, respectively, confirmed the presence of lipophilic additive KTpClPB. Lastly, the presence of PVC as an inert matrix of the membrane confirmed by gauche absorption bands observed in 669 cm−1 region. On the other hand, two absorption bands in 1608 cm−1 and 1467 cm−1 frequencies attributed to aromatic stretching of C=O, one absorption band around 2859 cm−1 related to C–H sp3 stretching, and stretching of =C–H sp2 appears at 2927 cm−1 are some general absorption bands for all membrane ingredients. The wide absorption band related to O–H stretching observed in 3434 cm−1 owing to the membrane saturation in the aqueous medium. As it is illustrated in Fig. 4II, the evaluation of the spectra related to the employed membranes demonstrated that no significant change observed in the membrane composition which proved its long lifetime and stability.

Fig. 4
figure 4

FT-IR spectra of the fabricated Fe3+ selective membrane (I) and comparison of FT-IR spectra for membrane ingredients under different conditions (II): a newly dry fabricated membrane, b membrane saturated in iron solution for 24 h, c used membrane after 5 weeks and d used membrane after 15 weeks

To examine the preferred coordination of Fe3+ ions by b-18C6, UV–Vis spectroscopy analysis carried out. Literature surveys revealed that the ionic species with higher affinity to form complex, resulted in more significant variation in appearance and position of the obtained spectrum [35]. The UV spectroscopy analysis practiced for the b-18C6, Fe3+ cation and their 1:1 mixture and demonstrated in Fig. 5. As seen, the ionophore and Fe3+ displayed two separate maximum absorptions at 273 nm and 215 nm, respectively. Whereas for their mixture, the intensity of the observed absorption band increased slightly and shifted to 282 nm. The observed behaviour attributed to the preferred complexation between b-18C6 and Fe3+ cation.

Fig. 5
figure 5

UV–Vis absorption spectra: (A) 1.0 × 10−3 M Fe3+, (B) 1.0 × 10−3 M b-18C6 and (C) mixture of ionophore and cation

To image the surface characteristics of the proposed selective membrane such as fouling and swelling, SEM investigations were carried out at 10 µm magnifications [36].

As seen from Fig. 6, lack of ionophore in the prepared membrane resulted in a physically tight structure, however in the case of its adding to the membrane a physically permeable and loose structure observed. Furthermore, due to the daily usage of the proposed electrode, the membrane shows a swollen structure over 10 weeks. On the other hand, the surface of the membrane completely covered by contaminated sediments after daily usage over 20 weeks and it lost its ability.

Fig. 6
figure 6

Scanning electron microphotographs (SEM) of iron (III) selective PVC membrane at 10 µm magnifications: a membrane without ionophore that conditioned for 1 day, b membrane with ionophore that conditioned for 1 day, c membrane that conditioned for 10 weeks, and d membrane that conditioned for 20 weeks and used daily over the mentioned period

Sensor validation

Drinking tap water and hospital wastewater sample after treatment through the electrocoagulation process used as environmental samples to evaluate the analytical applicability and accuracy of the proposed sensor. As seen from Table 4, acceptable compliance observed between the results achieved by the proposed sensor and the data acquired from atomic absorption spectrometry (AAS).

Table 4 Determination of iron (III) amount of real samples using standard addition technique

Computational analysis

The adsorption process of Fe+3 cationic species by b-18C6 theoretically investigated employing the DFT/B3LYP computational level with the 6-311G basis set using the Gaussian 09 program package. The following equation expressed the calculation procedure of Eads (adsorption energy) between Fe+3 and b-18C6:

$${\text{E}}_{\text{ads}} = {\text{ E}}_{{({\text{complex}})}} - {\text{ E}}_{{({\text{b}} - 1 8 {\text{C6}})}} - {\text{ E}}_{{\left( {{\text{Fe}}^{ + 3} } \right)}}$$

where E (complex), E (b-18C6) and E +3(Fe) denote the total energy of the formed complex, the total energy of b-18C6, and the total energy of Fe+ cationic species, respectively.

According to the calculated adsorption energy of − 19.04 eV which is a large negative value can be concluded that the optimized structure of the formed complex is stable. By evaluating the gap of energy between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) the molecular electrical conductance properties can be described. The HOMO–LUMO diagrams and the energies of the formed complex and b-18C6 demonstrated in Fig. 7. The HOMO–LUMO energy gap of 0.107 eV found for the formed complex which indicated adequate electron conductivity due to the low difference between molecular orbitals. Moreover, the obtained result provided a measure of structural stability properties [37].

Fig. 7
figure 7

HOMO and LUMO compositions of the frontier orbital for a formed complex and b on benzo-18-crown-6 ionophore

Natural bond orbital (NBO) analysis carried out to study the strength and nature of the intermolecular interactions of the formed complex at the same level of theory. The obtained results including some important orbital interactions of oxygen atoms which contributed in donor–acceptor interactions with LP* (Fe) as well as their second-order perturbation stabilization energies E(2) summarized in Table 5. The achieved results highlighted that iron prefers to participate in the complex formation process as the acceptor while the aromatic ring and oxygen prefer to participate as donors through coordinate bands.

Table 5 NBO analysis for some significant orbital interactions of the formed complex

The charge distribution on the structure of the formed complex demonstrated in Fig. 8. According to the calculated value in Table 5, for second-order perturbation stabilization energies, oxygen atom number 41 has the largest E(2) energy and highest interaction level with iron (III) cation. The charges of selected oxygen atoms and iron atom summarized in Additional file 2.

Fig. 8
figure 8

Charge distribution of the optimized structure of formed complex

Comparison of reported works with proposed sensor

The characteristics performance of the proposed sensor in comparison to the early described Fe3+ ion-selective sensors summarized in Table 6. The developed sensor in the current work revealed better characteristics in the terms of dynamic range, the lower limit of detection and response time. Since the potential response of the fabricated sensor in the current work was independent of the solution pH over a reasonable range, it could be employed as promising tool for analysis of iron (III) concentration in environmental fields.

Table 6 Comparison of the characteristics performance of fabricated iron (III) selective electrode in this study with reported iron (III) electrodes


The developed highly Fe3+ selective electrode in the current work revealed an acceptable performance as a diagnostic tool for the evaluation of trace amount of iron (III) in drinking tap water and treated hospital wastewater samples. The characteristic performance of the proposed sensor is favorable compared to previously developed iron (III) potentiometric sensors. The theoretical studies through density functional theory confirmed the preferred coordination between Fe3+ cation and b-18C6. The obtained computational results established their stable and selective interaction.

Availability of data and materials

All data and materials could be available upon the request.


  1. Gupta VK, Jain A, Agarwal S, Maheshwari G (2007) An iron (III) ion-selective sensor based on a μ-bis (tridentate) ligand. Talanta 71:1964–1968

    Article  CAS  Google Scholar 

  2. Zamani HA, Ganjali MR, Salavati-Niasari M (2008) Fabrication of an iron (III)-selective PVC membrane sensor based on a bis-bidentate Schiff base ionophore. Trans Met Chem 33:995–1001

    Article  CAS  Google Scholar 

  3. Zamani HA, Hamed-Mosavian MT, Hamidfar E, Ganjali MR, Norouzi P (2008) A novel iron (III)-PVC membrane potentiomeric sensor based on N-(2-hydroxyethyl) ethylenediamine-N, N’, N”-triacetic acid. Mater Sci Eng, C 28:1551–1555

    Article  CAS  Google Scholar 

  4. Mashhadizadeh MH, Shoaei IS, Monadi N (2004) A novel ion selective membrane potentiometric sensor for direct determination of Fe(III) in the presence of Fe(II). Talanta 64:1048–1052

    Article  CAS  Google Scholar 

  5. Lunvongsa S, Oshima M, Motomizu S (2006) Determination of total and dissolved amount of iron in water samples using catalytic spectrophotometric flow injection analysis. Talanta 68:969–973

    Article  CAS  Google Scholar 

  6. Masawat P, Harfield A, Srihirun N, Namwong A (2017) Green determination of total iron in water by digital image colorimetry. Anal Lett 50:173–185

    Article  CAS  Google Scholar 

  7. Samadi A, Amjadi M (2016) Halloysite nanotubes as a new adsorbent for solid phase extraction and spectrophotometric determination of iron in water and food samples. J Appl Spectrosc 83:422–428

    Article  CAS  Google Scholar 

  8. Peng B, Chen G, Li K, Zhou M, Zhang J, Zhao S (2017) Dispersive liquid-liquid microextraction coupled with digital image colorimetric analysis for detection of total iron in water and food samples. Food Chem 230:667–672

    Article  CAS  Google Scholar 

  9. Pooyamanesh MJ, Zamani HA, Rajabzadeh G, Ganjali MR, Norouzi P (2007) Fe (III) Ion-selective membrane electrode based on 4-amino-6-methyl-3-methylmercapto-1, 2, 4-triazin-5-one. Anal Lett 40:1596–1609

    Article  CAS  Google Scholar 

  10. Shen J, Gagliardi S, McCoustra MRS, Arrighi V (2016) Effect of humic substances aggregation on the determination of fluoride in water using an ion selective electrode. Chemosphere 159:66–71

    Article  CAS  Google Scholar 

  11. Gupta VK, Jain AK, Khayat MA, Bhargava SK, Raisoni JR (2008) Electroanalytical studies on cobalt (II) selective potentiometric sensor based on bridge modified calixarene in poly (vinyl chloride). Electrochim Acta 53:5409–5414

    Article  CAS  Google Scholar 

  12. Gupta VK, Jain AK, Kumar P, Agarwal S, Maheshwari G (2006) Chromium(III)-selective sensor based on tri-o-thymotide in PVC matrix. Sens Actuat B 113:182–186

    Article  CAS  Google Scholar 

  13. Ceresa A, Bakker E, Hattendorf B, Günther D, Pretsch E (2001) Potentiometric polymeric membrane electrodes for measurement of environmental samples at trace levels: new requirements for selectivities and measuring protocols, and comparison with ICPMS. Anal Chem 73:343–351

    Article  CAS  Google Scholar 

  14. Ion AC, Bakker E, Pretsch E (2001) Potentiometric Cd2 + -selective electrode with a detection limit in the low ppt range. Anal Chim Acta 440:71–79

    Article  CAS  Google Scholar 

  15. Balderas-Hernández P, Roa-Morales G, Ramírez-Silva MT, Romero-Romo M, Rodríguez-Sevilla E, Esparza-Schulz JM, Juárez-Gómez J (2017) Effective mercury(II) bioremoval from aqueous solution, and its electrochemical determination. Chemosphere 167:314–321

    Article  Google Scholar 

  16. Ramanjaneyulu PS, Singh P, Sayi YS, Chawla HM, Ramakumar KL (2010) Ion selective electrode for cesium based on 5-(4′-nitrophenylazo) 25, 27-bis (2-propyloxy) 26, 28-dihydroxycalix [4] arene. J Hazard Mater 175:1031–1036

    Article  CAS  Google Scholar 

  17. Chen L, Ju H, Zeng X, He X, Zhang Z (2001) Cesium selective electrodes based on novel double flexible spacers bridged biscalix [4] arenes. Anal Chim Acta 447:41–46

    Article  CAS  Google Scholar 

  18. Ahmadzadeh S, Rezayi M, Karimi-Maleh H, Alias Y (2015) Conductometric measurements of complexation study between 4-Isopropylcalix [4] arene and Cr 3 + cation in THF-DMSO binary solvents. Measurement 70:214–224

    Article  Google Scholar 

  19. Faridbod F, Ganjali MR, Dinarvand R, Norouzi P (2008) Developments in the field of conducting and non-conducting polymer based potentiometric membrane sensors for ions over the past decade. Sensors 8:2331–2412

    Article  Google Scholar 

  20. Comeau B: plasticizer alternatives for use in polymer membrane ion selective electrodes. Tufts University; 2008

  21. Radu A: Experimental and theoretical insights in the improvement of the detection limit of ion selective electrodes. Auburn Alabama, 2005

  22. Bakker E, Xu A, Pretsch E (1994) Optimum composition of neutral carrier based pH electrodes. Anal Chim Acta 295:253–262

    Article  CAS  Google Scholar 

  23. Oehme M, Simon W (1976) Microelectrode for potassium ions based on a neutral carrier and comparison of its characteristics with a cation exchanger sensor. Anal Chim Acta 86:21–25

    Article  CAS  Google Scholar 

  24. Gupta VK, Mergu N, Kumawat LK, Singh AK (2015) Selective naked-eye detection of magnesium (II) ions using a coumarin-derived fluorescent probe. Sens Actuators B 207:216–223

    Article  CAS  Google Scholar 

  25. Gupta N, Singh AK, Bhardwaj S, Singhal D (2015) Electroanalytical studies of chromone based ionophores for the selective determination of arsenite ion. Electroanalysis 27:1166–1175

    Article  CAS  Google Scholar 

  26. Mittal SK, Kumar SK, Sharma HK (2004) PVC-based dicyclohexano-18-crown-6 sensor for La (III) ions. Talanta 62:801–805

    Article  CAS  Google Scholar 

  27. Bakker E, Buhlmann P, Pretsch E (1997) Carrier-based ion-selective electrodes and bulk optodes. 1. General characteristics. Chem Rev 97:3083–3132

    Article  CAS  Google Scholar 

  28. Ammann D, Morf WE, Anker P, Meier PC (1983) Neutral carrier based ion-selective electrodes. Ion-Selective Electrode Rev 5:1

    Article  Google Scholar 

  29. Choi Y, Kim H, Lee JK, Lee SH, Lim HB, Kim JS (2004) Cesium ion-selective electrodes based on 1, 3-alternate thiacalix [4] biscrown-6, 6. Talanta 64:975–980

    Article  CAS  Google Scholar 

  30. Zamani HA, Rajabzadeh G, Ganjali MR (2006) Highly selective and sensitive chromium(III) membrane sensors based on 4-amino-3-hydrazino-6-methyl-1,2,4-triazin-5-one as a new neutral ionophore. Sens Actuators B 119:41–46

    Article  CAS  Google Scholar 

  31. Kamal A, Kumar N, Bhalla V, Kumar M, Mahajan RK (2014) Rhodamine-dimethyliminocinnamyl based electrochemical sensors for selective detection of iron (II). Sens Actuators B 190:127–133

    Article  CAS  Google Scholar 

  32. Kamal A, Kumar K, Kumar V, Mahajan RK (2014) Electrochemical and chromogenic sensors based on ferrocene appended chalcone for selective quantification of copper (II). Electrochim Acta 145:307–313

    Article  CAS  Google Scholar 

  33. Ahmadzadeh S, Asadipour A, Yoosefian M, Dolatabadi M (2017) Improved electrocoagulation process using chitosan for efficient removal of cefazolin antibiotic from hospital wastewater through sweep flocculation and adsorption: kinetic and isotherm study. Desal Water Treat 92:160–171

    Article  CAS  Google Scholar 

  34. Ahmadzadeh S, Dolatabadi M (2018) Modeling and kinetics study of electrochemical peroxidation process for mineralization of bisphenol A; a new paradigm for groundwater treatment. J Mol Liq 254:76–82

    Article  CAS  Google Scholar 

  35. Singh AK, Gupta VK, Gupta B (2007) Chromium (III) selective membrane sensors based on Schiff bases as chelating ionophores. Anal Chim Acta 585:171–178

    Article  CAS  Google Scholar 

  36. Bakker E, Diamond D, Lewenstam A, Pretsch E (1999) Ion sensors: current limits and new trends. Anal Chim Acta 393:11–18

    Article  CAS  Google Scholar 

  37. Ahmadzadeh S, Rezayi M, Kassim A, Aghasi M (2015) Cesium selective polymeric membrane sensor based on p-isopropylcalix [6] arene and its application in environmental samples. RSC Adv 5:39209–39217

    Article  CAS  Google Scholar 

Download references


The authors express their appreciation to Pharmaceutics research centre and Student research committee both affiliated to Kerman University of Medical Sciences, Kerman, Iran, and Shahid Beheshti University of Medical Sciences, Tehran, Iran for supporting the current work.


Not applicable.

Author information

Authors and Affiliations



SB performed the experiments. AM performed the simulations and computational studies. AM and MJ provided the chemicals and conceived the idea. SA supervised the study and write the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Saeid Ahmadzadeh or Anoushiravan Mohseni-Bandpei.

Ethics declarations

Competing interests

All authors declare that they have no competing or conflict of interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

The life time of the proposed iron (III) sensor.

Additional file 2.

Charges of oxygen and iron atoms in the formed complex.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Badakhshan, S., Ahmadzadeh, S., Mohseni-Bandpei, A. et al. Potentiometric sensor for iron (III) quantitative determination: experimental and computational approaches. BMC Chemistry 13, 131 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: