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Development of an Electrochemical Sensor Based on the D-Penicillamine Ligand Using Dip Pen Nanolithography for Lead Detection
ChE-C-06
Shir Dukarker; shir3597@gmail.com
Advisors: Prof. Ariela Burg1, Ms. Ron Peretz1 1SCE - Shamoon College of Engineering, Be’er-Sheva
Lead is one of the most toxic metals commonly found in polluted water. Regulatory standards only permit very low concentrations of heavy metals in the ppb range, creating a need for highly sensitive detection methods. This project focused on developing a sensitive electrochemical sensor for detecting lead at low ppb levels. The new sensor is based on the D-penicillamine ligand (D-PA) and was fabricated using dip-pen nanolithography (DPN). The study investigated how the solution’s pH and the ligand mass affect sensor performance. Results showed that optimal ligand mass improves sensitivity, while excessive mass reduces it. The optimal pH found was pH5. One can conclude that the DPN method enables the development of portable and sensitive sensors for environmental lead monitoring.
Keywords: D-penicillamine, DPN, electrochemical sensor, heavy metals, lead detection
Optimization of the Crystallization Process in the Production of Compound X Regarding Operational Challenges in Dry Grinding
ChE-D-01
Bar Negev; barnegev1@gmail.com
Advisors: Prof. Dorith Tavor1, Mr. Peretz Sabag2 1SCE - Shamoon College of Engineering, Be’er-Sheva 2Teva-Tech, TAPI Division, Israel
The pharmaceutical industry relies on strict manufacturing processes to ensure product quality, particularly in the production of ‘active pharmaceutical ingredients’ (APIs). This project examines the optimization of the crystallization stage in the production of Compound X at “Teva Tech,” focusing on controlled crystallization within the metastable zone to regulate nucleation and crystal growth. Difficulties in dry grinding were identified due to high “Hausner Ratio” values, affecting material flowability. This study examines crucial crystallization parameters, including: seed particle size; seeding percentage; seeding temperature; and pre-seeding delay time—to address these issues. Experimental trials compare various conditions to determine the optimal crystallization settings, towards enhancing product consistency and reducing production delays. The findings contribute to improving large-scale pharmaceutical crystallization processes while ensuring compliance with industry quality standards.
Keywords: crystallization, seeding, “Hausner Ratio,” API production, pharmaceutical process optimization
Book of Abstracts | 2025
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