| AVS 65th International Symposium & Exhibition | |
| Biomaterial Interfaces Division | Tuesday Sessions |
| Session BI-TuP |
| Session: | Biomaterial Interfaces Division Poster Session |
| Presenter: | Xinruo Yi, University of Pittsburgh |
| Authors: | X.R. Yi, University of Pittsburgh A. Khalaf, University of Pittsburgh R. Gunasekeran, University of Pittsburgh M.H. Yun, University of Pittsburgh M. Akcakaya, University of Pittsburgh Y.Z. Zhang, UPMC S. Marc, UPMC N. Petroni, UPMC |
| Correspondent: | Click to Email |
The demand on using biosensor during clinical diagnosis to detect the heart failure (HF) becomes increasing at market. B-type natriuretic peptide (BNP), as we know, is a hormone in response to stretching resulting from increased ventricular blood volume. The detection of BNP plays an important role in HF and various diagnosing cardiovascular diseases. Hence, it is important to alarm abnormal BNP levels and to monitor BNP changes appropriate to the diagnostic ranges for an HF event. In particular, BNP levels in human blood range from < 100 ng/l for normal humans to 101 ~ 1000 ng/l for HF patients. Finding BNP level will help the physician make decisions on whether the patient should be admitted to hospital or discharged.
We present a simple, high yield, low-cost and label-free method based on a two-dimensional (2-D) flexible polyaniline (PANI) biosensor along with ultra-sensitivity and specificity for biomarker detection. The 2-D PANI film which was chemically synthesized in a facile and controllable way had high surface-to-volume (S/V) ratios and showed good semiconducting properties. In order to prepare our biosensor, first, we performed surface modification using 1-ethyl-3-(3-dimethyaminopropyl) carbodiimide (EDC), and N-hydroxysuccinimde (NHS) to fix the monoclonal antibodies onto the 2-D PANI film. Second, the 2-D PANI film was treated by using non-target protein like bovine serum albumin (BSA) to block the free sites on the surface and further avoid getting noise signals. After that, our label-free biosensor for the detection of BNP is ready for the test. The detection of BNP in real human blood becomes complicated by the precipitation of red blood cells which will bind with the BNP antibody and block them to get the position of BNP antibody near biosensor surface. Instead, serum samples from patients with heart failure, obtained directly from the University of Pittsburgh Medical Center (UPMC) after separating the red blood cells from the whole blood by centrifugation, were tested.
In this work, we did the mixed blind test with two healthy samples (healthy sample) and two patient samples (with high BNP concentration). In addition, we used various approaches including electrical analysis, standard deviation method, principle component analysis (PCA), quadratic discriminant analysis (QDA) and linear discriminant analysis (LDA) to successfully identify these blind samples, which could be used to determine whether the patient has HF or not.