| Literature DB >> 33324607 |
Mohannad Garoub1, A H Hefny2, W E Omer3, Mostafa M Elsaady1, Mohamed M Abo-Aly1, Ali A Sayqal4, Ahmed Alharbi4, Ahmed Hameed4, Hussain Alessa4, A O Youssef1, Ekram H Mohamed5, Ayman A Gouda2,6, R El Sheikh6, M N Abou-Omar7, Maged A El-Kemary3, M S Attia1.
Abstract
A low-cost, simple, and highly selective method was used for the assessment of total prostate specific antigen (tPSA) in the serum of prostate cancer patients. This method is based on quenching the intensity of luminescence displayed by the optical sensor Eu (TTA)3 phen/poly methylmethacrylate (PMMA) thin membrane or film upon adding different concentrations of tPSA. The luminescent optical sensor was synthesized and characterized through absorption, emission, scanning electron microscopy (SEM), and x-ray diffraction (XRD), and is tailored to present red luminescence at 614 nm upon excitation at 395 nm in water. The fabricated sensor fluorescence intensity is quenched in the presence of tPSA in aqueous media. The fluorescence resonance energy transfer (FRET) is the main mechanism by which the sensor performs. The sensor was successfully utilized to estimate tPSA in the serum of patients suffering prostate cancer in a time and cost effective way. The statistical results of the method were satisfactory with 0.0469 ng mL-1 as a detection limit and 0.99 as a correlation coefficient.Entities:
Keywords: luminescence; optical sensor; prostate cancer; quenching; specific antigen
Year: 2020 PMID: 33324607 PMCID: PMC7724366 DOI: 10.3389/fchem.2020.561052
Source DB: PubMed Journal: Front Chem ISSN: 2296-2646 Impact factor: 5.221
Figure 1Structure of Eu (TTA)3 phen.
Figure 2(A) Luminescence spectra of Eu (TTA)3 phen/PMMA thin film using different dilutions of PSA, at λex = 395 nm, in water. (B) PSA quenching mechanism.
Regression parameters of the proposed luminescent method.
| λem nm | 614 |
| Linearity (ng mL−1) | 0.001–31.5 |
| LOD (ng mL−1) | 0.0469 |
| LOQ (ng mL−1) | 0.142 |
| Intercept (a) | 0.02882 |
| Slope (b) | 0.05968 |
| Standard deviation | 0.00084 |
| Regression coefficient (r) | 0.996 |
Accuracy and precision (intra and inter-day) evaluation.
| Patient (1) | 8.3 | 8.3 | ± | 0.001 | −0.2 | 0.01 | 8.2 | ± | 0.001 | 1.3 | 0.01 |
| Patient (2) | 3.5 | 3.5 | ± | 0.002 | −0.5 | 0.02 | 3.5 | ± | 0.002 | −0.2 | 0.02 |
| Patient (3) | 9.1 | 9.2 | ± | 0.001 | −0.6 | 0.01 | 9.2 | ± | 0.001 | −1.1 | 0.01 |
| Patient (4) | 1.2 | 1.2 | ± | 0.003 | 0.0 | 0.07 | 1.3 | ± | 0.003 | −8.3 | 0.06 |
| Patient (5) | 13.7 | 13.7 | ± | 0.001 | 0.4 | 0.01 | 13.5 | ± | 0.001 | 1.4 | 0.01 |
| Patient (6) | 2.4 | 2.4 | ± | 0.002 | 0.8 | 0.03 | 2.4 | ± | 0.002 | 0.0 | 0.03 |
| Patient (7) | 6.4 | 6.4 | ± | 0.001 | 0.2 | 0.01 | 6.3 | ± | 0.001 | 0.7 | 0.01 |
| Patient (8) | 9.8 | 9.8 | ± | 0.001 | 0.10 | 0.01 | 9.8 | ± | 0.001 | 0.0 | 0.01 |
| Patient (9) | 1.3 | 1.3 | ± | 0.003 | −0.8 | 0.06 | 1.3 | ± | 0.003 | 1.5 | 0.07 |
| Patient (10) | 0.9 | 0.9 | ± | 0.004 | 3.3 | 0.10 | 1.0 | ± | 0.004 | −5.6 | 0.09 |
| Patient (11) | 2.7 | 2.7 | ± | 0.002 | −0.7 | 0.03 | 2.6 | ± | 0.002 | 3.3 | 0.03 |
CL, Confidence limits; S, standard deviation; n, number of assay.
The tabulated value of t is 4.303 at CL 95%.
: average value = (X1+X2+X3)/3.
Figure 3Stern–Völmer plot.