| Literature DB >> 27873797 |
Dana Vlascici1, Eugenia Fagadar-Cosma2, Elena Maria Pica3, Viorica Cosma4, Otilia Bizerea5, Gheorghe Mihailescu6, Liliana Olenic7.
Abstract
Two functionalized porphyrins: 5,10,15,20-tetrakis(3,4-dimethoxyphenyl) porphyrin (A) and 5,10,15,20-tetrakis(3-hydroxyphenyl)porphyrin (B) obtained and characterized by us were used as ionophores (I) for preparing PVC-based membrane sensors selective to Ag⁺, Pb2+ and Cu2+. The membranes were prepared using three different plasticizers: (bis(2-ethylhexyl)sebacate (DOS), dioctylphtalate (DOP), o-nitrophenyl octyl ether (NPOE) and potassium tetrakis(4-chlorophenyl)borate (KTClPB) as additive. The functional parameters (linear concentration range, slope and selectivity) of the sensors with membrane composition: (I:PVC:KTClPB:Plasticizer) in different ratios were investigated. The best results were obtained for the membranes in the ratio I:PVC:KTClPB:Plasticizer 10:165:5:330. The influence of pH on the sensors response was studied. The sensors were used for a period of four months and their utility has been tested on synthetic and real samples.Entities:
Keywords: PVC-matrix.; Porphyrins; heavy metals; ionophores; sensors
Year: 2008 PMID: 27873797 PMCID: PMC3705483 DOI: 10.3390/s8084995
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1.The structures of free base porphyrins 5,10,15,20-tetrakis(3,4-dimetoxyphenyl) porphyrin (A) and 5,10,15,20-tetrakis (3-hydroxyphenyl) porphyrin (B) used as ionophores.
Composition of PVC membranes of (A) and (B) and response characteristics of Ag+ selective electrodes based on them.
| 5 | 165 | 2 | - | 330 | - | 5×10-5 − 1×10-1 | 31.5 | ||
| 5 | 165 | 2 | 330 | - | - | 1×10-5 − 1×10-1 | 26.9 | ||
| 5 | 165 | 2 | - | - | 330 | 1×10-5 − 5×10-2 | 32.2 | ||
| 10 | 165 | 5 | 330 | - | - | 1×10-5 − 1×10-1 | 49.7 | ||
| 10 | 165 | 5 | - | - | 330 | 1×10-5 − 1×10-1 | 57.9 | ||
| 5 | 150 | 2 | 200 | - | - | 5×10-4 − 1×10-1 | 35.4 | ||
| 10 | 165 | 5 | - | 330 | - | 3×10-5 − 1×10-1 | 61.9 | ||
| 10 | 165 | 5 | 330 | - | - | 8×10-6 −1×10-1 | 64.5 | ||
| 10 | 165 | 5 | - | - | 330 | 1×10-5 − 1×10-1 | 55.8 | ||
Figure 2.Potentiometric response of the sensors 1-6 based on ionophore A and 7-9 based on ionophore B toward Ag+.
Figure 3.Selectivity coefficients of the sensors 1-6 based on ionophore A and 7-9 based on ionophore B calculated by separate solution method (SSM).
Figure 4.Potentiometric response of the sensor no. 4 based on ionophore A toward Cu2+.
Figure 5.Potentiometric response of the sensor no. 9 based on ionophore B toward Pb2+.
Figure 6.Effect of the pH of the test solution on the potential response of the sensors with best potentiometric answers.
Chloride (g/kg) in different meat products determined by potentiometric titration (using sensor no. 8) and Volhard titration.
|
| ||
|---|---|---|
| Pate | 12,3 ± 0,1 | 12,4 ± 0,1 |
| Parizer | 13,2 ± 0,2 | 13,1 ± 0,3 |
| Salami | 13,5 ± 0,1 | 13,6 ± 0,2 |
| Sausage | 15,9 ± 0,1 | 16,0 ± 0,2 |
Determination of lead in synthetic and real samples by potentiometry (using sensor no. 9) and by AAS.
| 1 | 11.1 ± 0.3 | 10.3 ± 0.2 | 99.1 |
| 2 | 31.6 ± 0.4 | 30.9 ± 0.3 | 101.6 |
| 3 | 41.7 ± 0.3 | 41.0 ± 0.2 | 100.6 |
| wastewater | 30.1 ± 0.4 | 29.8 ± 0.2 |
synthetic samples
Determination of copper in synthetic samples.
| Direct potentiometry | 3.24 ± 0.3 | 96.1 |
| Standard addition potentiometry | 3.23 ± 0.4 | 95.8 |
| AAS | 3.33 ± 0.2 | 98.8 |
Sample content: 3.37 mg/ml Cu2+
Average of four measurements