Boron and nitrogen-doped coronene as high-performance sensors for gamma-hydroxybutyrate drug sensing: A DFT/TD-DFT study

IF 3.1 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Mubarak A. Alamri , Mohamed Enneiymy , Yassine Riadi , Ali Altharawi , Taibah Aldakhil , Bharath Kumar Chagaleti , Ali Oubella , Reda A. Haggam
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引用次数: 0

Abstract

Gamma-hydroxybutyrate (GHB) is a psychoactive compound of high clinical and forensic concern due to its involvement in drug-facilitated intoxications and its rapid metabolic clearance, which complicates reliable detection. The reliance of conventional analytical techniques on centralized laboratories and costly instrumentation highlights the urgent need for fast, sensitive, and on-site sensing platforms. While carbon nanomaterial-based sensors have been widely investigated for narcotics detection, the sensing potential of coronene remains largely unknown. In this work, we present the first systematic DFT and TD-DFT investigation of pristine coronene (Cor) and its boron- and nitrogen-doped derivatives (B-Cor and N-Cor) for GHB detection, revealing a clear dopant-dependent sensing functionality. B-Cor emerges as the most effective GHB adsorbent, exhibiting a strong adsorption energy of −13.52 kcal mol−1, a large increase in dipole moment from 0.24 to 2.07 Debye, and enhanced polarizability (290.04–332.70 a.u.). These effects lead to an exceptional bathochromic shift in the UV–Vis spectrum (λmax from 373 to 594 nm, Δλ = 221 nm) and a decrease in exciton energy from 3.3 to 2.1 eV, establishing B-Cor as a highly promising single-use adsorptive and colorimetric sensor for naked-eye GHB detection. In contrast, N-Cor is identified as an optimal electrochemical sensor, characterized by a dramatically reduced HOMO-LUMO gap (0.57 eV), high chemical softness (1.75 eV-1), elevated electrical conductivity (2.75 × 109 A.m−2), and an ultra-fast recovery time of 5.63 × 10−6 s, enabling rapid and reusable sensing. Moderate increases in dipole moment (0.21–0.72 Debye) and polarizability (283.06–325.85 a.u.) further support its strong electronic responsiveness upon GHB binding. By distinctly identifying B-Cor as a superior adsorbent and colorimetric sensor and N-Cor as an efficient electrochemical sensor, this study introduces coronene as a versatile and tunable sensing scaffold and provides a robust theoretical foundation for the rational design of next-generation GHB sensing platforms for forensic and clinical applications.

Abstract Image

硼和氮掺杂冠烯作为γ -羟基丁酸盐药物传感的高性能传感器:DFT/TD-DFT研究
γ -羟基丁酸酯(GHB)是一种精神活性化合物,由于其参与药物介导的中毒和其快速代谢清除,这使得可靠的检测变得复杂,因此在临床和法医方面受到高度关注。传统分析技术对集中实验室和昂贵仪器的依赖突出了对快速、敏感和现场传感平台的迫切需求。虽然基于碳纳米材料的传感器已被广泛研究用于毒品检测,但冠烯的传感潜力在很大程度上仍然未知。在这项工作中,我们首次对原始冕烯(Cor)及其硼和氮掺杂衍生物(B-Cor和N-Cor)进行了系统的DFT和TD-DFT研究,用于GHB检测,揭示了明确的掺杂依赖传感功能。B-Cor是最有效的GHB吸附剂,吸附能为- 13.52 kcal mol - 1,偶极矩从0.24增加到2.07 Debye,极化率提高(290.04-332.70 a.u)。这些效应导致UV-Vis光谱的显色偏移(λmax从373 nm到594 nm, Δλ = 221 nm)和激子能量从3.3 eV降低到2.1 eV,使B-Cor成为一种非常有前途的一次性吸附和比色传感器,用于裸眼GHB检测。相比之下,N-Cor被认为是一种最佳的电化学传感器,其特点是大大减小了HOMO-LUMO间隙(0.57 eV),高化学柔软度(1.75 eV-1),提高了电导率(2.75 × 109 am - 2),超快的恢复时间为5.63 × 10−6 s,能够实现快速和可重复使用的传感。偶极矩(0.21-0.72 Debye)和极化率(283.06-325.85 a.u)的适度增加进一步支持了其对GHB结合的强电子响应性。通过明确确定B-Cor是一种优越的吸附剂和比色传感器,N-Cor是一种高效的电化学传感器,本研究介绍了冠烯作为一种多功能和可调的传感支架,为合理设计用于法医和临床应用的下一代GHB传感平台提供了坚实的理论基础。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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