Elucidating the mechanistic sensing capability of novel tetragonal graphene quantum dot towards tobacco alkaloids: a DFT study

IF 2.1 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Structural Chemistry Pub Date : 2024-04-13 DOI:10.1007/s11224-024-02325-1
Maria Liaqat, Junaid Yaqoob, Muhammad Usman Khan, Riaz Hussain, Mazhar Amjad Gilani, Munazza Idrees, Minahil Ishtiaq, Abrar Ul Hassan, Saad M. Alshehri
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Abstract

Smoking is the g`reatest preventable cause of mortality all over the world as it causes lung cancer, vascular disease, peptic ulcers, coronary heart disease, stroke and harm to the developing fetal brain, and numerous respiratory issues, such as chronic bronchitis, emphysema, pulmonary hypertension, obstruction of tiny airways, and chronic obstructive pulmonary diseases. These diseases are mainly caused by smoking of tobacco products, including pipe tobacco, snuff, cigars, and cigarettes. To overcome the dangerous and adverse effects of tobacco alkaloids, the utilization of novel class of quantum dots, the graphene quantum dot (GQD) has not yet been thoroughly investigated. To fill this gap, the mechanistic sensing capability of the tetragonal graphene quantum dot towards tobacco alkaloids including anabasine (Anab), anatabine (Anat), myosmine (Myos), nitrosoanabasine (NAB), nitrosoanatabine (NAT), and nornicotine (NOR) has been investigated by employing first-principles DFT and TD-DFT computations. The computational tools have been utilized to investigate the interaction energies, the energy gap (FMO analysis), non-covalent interactions (NCI analysis), transfer of charges (QNBO), and the nature and strength of intermolecular interactions (QTAIM analysis). The NOR@T-GQD complex has the greatest interaction energy (− 20.1051 kcal/mol) among all the studied complexes. Also, the complex NOR@T-GQD has the lowest energy gap (1.072 eV) and chemical hardness (0.536 eV) which indicates the highest conductivity (2.486 × 109), shortest recovery time (3.005 × 10−16), and highest sensing response (2.326). UV–Vis analysis explored the maximum absorbance wavelength, excitation energy, and oscillator strength for the studied system and the thermodynamic analysis explored the spontaneity of the interaction process of the studied complexes. So, all the investigation parameters have proved that the tetragonal graphene quantum dot-based sensor is an influential sensing material towards all studied tobacco alkaloids especially for the tobacco alkaloid nornicotine.

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阐明新型四方石墨烯量子点对烟草生物碱的机理传感能力:一项 DFT 研究
吸烟是全世界最大的可预防死因,因为它会导致肺癌、血管疾病、消化性溃疡、冠心病、中风和对发育中的胎儿大脑的伤害,以及许多呼吸系统疾病,如慢性支气管炎、肺气肿、肺动脉高压、微小气道阻塞和慢性阻塞性肺病。这些疾病主要是由吸食烟草制品引起的,包括烟斗烟草、鼻烟、雪茄和香烟。为了克服烟草生物碱的危险和不良影响,人们尚未深入研究如何利用新型量子点--石墨烯量子点(GQD)。为了填补这一空白,我们采用第一原理 DFT 和 TD-DFT 计算方法,研究了四方石墨烯量子点对烟草生物碱(包括安那巴碱 (Anab)、安那他滨 (Anat)、肌宁 (Myos)、亚硝基安那巴碱 (NAB)、亚硝基安那他滨 (NAT) 和去甲烟碱 (NOR))的机理传感能力。利用这些计算工具研究了相互作用能量、能隙(FMO 分析)、非共价相互作用(NCI 分析)、电荷转移(QNBO)以及分子间相互作用的性质和强度(QTAIM 分析)。在所有研究的复合物中,NOR@T-GQD 复合物的相互作用能最大(- 20.1051 kcal/mol)。此外,NOR@T-GQD 复合物具有最低的能隙(1.072 eV)和化学硬度(0.536 eV),这表明它具有最高的电导率(2.486 × 109)、最短的恢复时间(3.005 × 10-16)和最高的传感响应(2.326)。紫外可见光分析探究了所研究体系的最大吸光波长、激发能量和振荡器强度,热力学分析探究了所研究复合物相互作用过程的自发性。因此,所有的研究参数都证明,基于四方石墨烯量子点的传感器是一种对所有研究的烟草生物碱,尤其是烟草生物碱烟碱具有影响力的传感材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Structural Chemistry
Structural Chemistry 化学-化学综合
CiteScore
3.80
自引率
11.80%
发文量
227
审稿时长
3.7 months
期刊介绍: Structural Chemistry is an international forum for the publication of peer-reviewed original research papers that cover the condensed and gaseous states of matter and involve numerous techniques for the determination of structure and energetics, their results, and the conclusions derived from these studies. The journal overcomes the unnatural separation in the current literature among the areas of structure determination, energetics, and applications, as well as builds a bridge to other chemical disciplines. Ist comprehensive coverage encompasses broad discussion of results, observation of relationships among various properties, and the description and application of structure and energy information in all domains of chemistry. We welcome the broadest range of accounts of research in structural chemistry involving the discussion of methodologies and structures,experimental, theoretical, and computational, and their combinations. We encourage discussions of structural information collected for their chemicaland biological significance.
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