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    Title: Utility of (MgO)12 nanocage as a chemical sensor for recognition of amphetamine drug: A computational inspection
    Authors: Hsu, Chou-Yi
    Jabbar, Abdullah Hasan
    Shather, A. H.
    Alkhayyat, Ameer S.
    Alsalamy, Ali
    Hamad, Atheer Khdyair
    Ahmed, Nahed Mahmood
    Mahmoud, Zaid H.
    Abed, Zainab Talib
    Contributors: Chia Nan Univ Pharm & Sci, Dept Pharm
    Al Ayen Univ, Sci Res Ctr
    Al Kitab Univ, Dept Comp Engn Technol
    Islamic Univ, Coll Med Technol, Med Lab Technol Dept
    Imam Jaafar Al Sadiq Univ, Coll Tech Engn
    AL Nisour Univ Coll, Dept Med Labs Technol
    Natl Univ Sci & Technol, Coll Pharm
    Univ Diyala, Coll Sci, Chem Dept
    Univ Mashreq, Coll Pharm
    Keywords: Amphetamine
    Sensors
    Recovery time
    Adsorption energy
    Electrical conductance
    Date: 2023
    Issue Date: 2024-12-25 11:04:12 (UTC+8)
    Publisher: ELSEVIER
    Abstract: DFT calculations on sensor-drug interactions are necessary for understanding binding mechanisms, predicting sensor performance, evaluating stability and reactivity, and rational design of sensor materials. We scrutinized the adsorption of amphetamine (AFE) on the pure magnesium oxide nano-cage (MgONC) by applying density functional theory. All geometries and single point energy computations were optimized at M06-2X/6-311 G (d, p). Furthermore, we performed an analysis of the natural bond orbital (NBO) and evaluated the values of partial natural charges. Additionally, we investigated donor-acceptor (D-A) interactions and examined the Wiberg bond index (WBI) in greater depth. The MgONC was capable of adsorbing AFE with greater strength with the energy of adsorption (Eads) of-48.19 kcal/mol (for stable configurations). Moreover, the NBO method demonstrated more effective D-A interactions between AFE and the MgONC. Based on the computations, for the most stable configuration, there was a substantial alteration in the HOMO-LUMO gap of the MgONC following the drug adsorption, thus increasing the electrical conductance (EC) of the MgONC. The sensing mechanism is related to the gap difference, which depends on the change in the EC. We adopted the conventional transition state theory for the prediction of recovery time. The computations indicated that the MgONC+ AFE configuration had a short recovery time for the desorption of AFE. Finally, based on our findings, we could conclude that the MgONC is an appropriate choice for the improvement of effective AFE sensors. DFT study of drug sensors will focus on enhancing sensitivity, selectivity, and stability while exploring novel materials and optimizing performance through theoretical simulations and analysis.
    Relation: Chemical Physics Impact, v.7, Article 100382
    Appears in Collections:[Dept. of Pharmacy] Periodical Articles

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