TIET Digital Repository

Thapar Institute of Engineering & Technology (TuDR)

Welcome to Thapar Institute of Engineering & Technology Digital Repository (TuDR).

TuDR is the digital asset management system which integrates the intellectual output in the form of research articles, PhD theses, and M.Tech / M.E. theses. TuDR facilitates the sharing and exchange of intellectual output of the university.

TuDR supports the management of scholarly resources of enduring value to Thapar University. Faculty members, students, and research scholars use TuDR services to share their intellectual work with the global academic community.

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Recent Submissions

Synthesis and Evaluation of Analyte Recognition Properties of Fluorenone Appended Schiff Bases
(2026-09-16) Kesar, Radhika; Luxami, Vijay; Vashisht , Priya
Two novel Schiff base chemosensors 1 and 2 based on the 9-fluorenone hydrazone scaffold were designed, synthesised, and evaluated for the selective colorimetric detection of analytes that are both biologically and environmentally hazardous. The chemosensors 1 and 2 were prepared by the condensation of 9-fluorenone hydrazone with 3-methoxysalicylaldehyde and 1H-indole-3-carbaldehyde, respectively, and were characterised using ¹H NMR, ¹³C NMR, and HRMS. The evalution of photophysical properties of chemosensors 1 and 2 was done via colorimetric and UV–visible spectroscopic techniques. Upon the addition of cyanide (CN⁻) ions, the absorption band of chemosensor 1 at 345 nm underwent a bathochromic shift to 475 nm, in CH₃CN/H₂O (1:1, v/v), accompanied by a distinct colour change from colourless to yellow. The chemosensor exhibited excellent selectivity towards CN⁻ over competing anions and metal ions, with a limit of detection of 144 μM and a binding constant of 3.5 × 10³ M⁻¹. Additionally, chemosensor 2 was evaluated in CH₃CN/H₂O (9:1, v/v) and displayed selective recognition of diethyl chlorophosphate (DCP). The interaction with DCP produced a pronounced bathochromic shift in the absorption spectrum from 375 nm to 472 nm, along with a visible colour change from colourless to yellow, while no appreciable spectral changes were observed with other competing analytes. The binding constant of 2 was evaluated to be 6.2 × 104 M-1, with an LOD value of 18.75 μM.
In silico analysis, preparation and evaluation of exosomes for scaffold-based tissue repair
(2026-09-16) Sakshi; Goyal , Dinesh; Verma, Yogesh Kumar
Exosomes derived from mesenchymal stem cells (MSCs) are highly researched therapeutic cell-free vesicles because of their ability to induce tissue repair by delivering bioactive molecules such as proteins, lipids, messenger RNAs and microRNAs. Their minimal immune rejection, increased stability, and lower risk of tumorigenesis provide an edge over the conventional stem cell therapy for the treatment of musculoskeletal injuries. In the present work we blended computational thinking with experimental work, to explore molecular targets linked to exosome biogenesis and tissue regeneration. We also aimed to prepare and characterize MSC-derived exosomes, and to design a bioactive corneal scaffold. More specifically, bioinformatics analyses were done, including differential gene expression, functional enrichment, protein–protein interaction network analysis, and molecular docking, in order to spot key molecular targets that relate to osteogenesis, myogenesis, and exosome biogenesis. In this work, bone marrow derived mesenchymal stem cells (BM-MSCs) were isolated from BALB/c mice and grown in standard laboratory conditions. Further, exosomes were isolated from the conditioned medium and characterized with respect to particle size, concentration, and expression of exosomal markers. For scaffold fabrication, polyvinyl alcohol–polyvinyl pyrrolidone (PVA–PVP) and polyvinyl alcohol–polycaprolactone (PVA–PCL), were incorporated with retinoic acid, raloxifene, dimethyl sulfoxide (DMSO), and graphite, to help enhance both their physico-chemical features, and biological responses. The scaffolds were evaluated for transparency, mechanical strength, swelling, degradation, contact angle, suturability, antibacterial activity, and biocompatibility using human corneal epithelial (HCE) cells. The current research uses bioinformatics tools along with experimental studies to advance the knowledge about tissue regeneration, regenerative medicine applications and enhances our knowledge of exosome-mediated tissue healing.
Identification of Novel DNA Gyrase B Inhibitors Using Integrated QSAR Modelling, Pharmacophore-Based Virtual Screening and Molecular Docking
(2026-09-15) Raina, Saaid; Mandal, Debasish
Antimicrobial resistance (AMR) has become a major concern for global healthcare, reducing the effectiveness of existing antibiotics and emphasizing the need for new antibacterial agents. DNA Gyrase B, which is an essential bacterial enzyme involved in the ATP-dependent DNA supercoiling, is considered a promising therapeutic target because of its role in survival of bacteria and the absence of a human counterpart. The present study employs, an integrated computational approach to facilitate the discovery of potential DNA Gyrase B inhibitors. Machine learning-based Quantitative Structure–Activity Relationship (QSAR) modelling was used to predict the biological activity of reported inhibitors, while a structure-based pharmacophore model was developed for virtual screening of chemical libraries. The identified compounds were subsequently evaluated through drug-likeness assessment, applicability domain analysis, and molecular docking to prioritize promising candidates. This workflow provides a systematic strategy for accelerating antibacterial lead discovery and may support the development of novel therapeutic agents against drug-resistant bacterial infections. Keywords: Antimicrobial Resistance, DNA Gyrase B, QSAR, Machine Learning, Pharmacophore Modelling, Molecular Docking
Influence of Stationary Phase Capacity on Anionic Separation: A Comparative Study of Dionex IONPAC AS 23 and AS11 Columns
(2026-09-15) Bounthiyal, Kashak; Reddy, M Sudhakara; Sharma, Anupma
Ion chromatography is a known laboratory technique used for separation and quantification of inorganic anions in food, environmental, pharmaceutical and industrial products. Ion- exchange chromatography works on the basis of ion-exchange principle of stationary phase which is a key factor in retention time, selectivity and resolution of an analyte. The main objective of the current research is to evaluate the effect of stationary phase capacity on ionic separation through comparative analysis of the Dionex Ion Pac AS11 and Dionex Ion Pac AS23 columns with use of suppressed conductivity detection. Major inorganic anions such as fluorides, chlorides, nitrites, nitrates, phosphates and sulfates were detected in standard solutions and in cases of real environmental waters and milk at optimized chromatographic conditions. The performance evaluation of the two types of columns was based on the results of investigations for retention period, peak resolution, selectivity, linearity, precision, accuracy as well as limits of detection (LOD) and quantification (LOQ). The findings showed that the Ion Pac AS11 column has a better ability to differentiate and slightly retain highly retained and multivalent anions during gradient elution. Therefore, the use of the Ion Pac AS11 column is align with analyzing complicated environmental samples. On the other hand, the Ion Pac AS23 column is characterized by shorter analysis time, stable baseline performance, and excellent resolution of easily soluble inorganic anions during isocratic elution, which suits it for everyday water quality testing. Validation of the method showed that it works well, with good linearity, precision, accuracy, recovery, sensitivity, and reproducibility. These results emphasize the importance of choosing the right stationary phase depending on the complexity of the sample and objectives of analysis. This study brings practical advice on improving ion chromatographic processes in laboratories aimed to analyze different inorganic anions.
A Sustainable Deep Eutectic Solvent-Assisted Approach for the Synthesis of Ascorbic Acid-Derived Carbon Dots toward Dual Fluorescence Sensing of Manganese(VII) and Glutathione
(2026-09-14) Puri, Manu; Maity, Banibrata
In this thesis, blue-emissive carbon dots (AA-CDs) was synthesized via a sustainable hydrothermal approach using L-ascorbic acid as the carbon precursor and a choline chloride/urea (1:2) deep eutectic solvent (DES) as a green reaction medium. The synthetic strategy emphasizes environmentally benign chemistry by employing renewable, low-cost, and readily available precursors while avoiding hazardous reagents. The as-prepared AA-CDs exhibited excitation-dependent photoluminescence with a maximum emission centered at 416 nm under 330 nm excitation. Comprehensive investigations of pH, ionic strength, temperature, and continuous UV irradiation demonstrated their excellent photostability and environmental robustness, highlighting their suitability for fluorescence sensing under diverse operating conditions. The AA-CDs displayed high selectivity toward multiple metal ions, with exceptional sensitivity for permanganate (Mn(VII) ions), achieving a detection limit of 307.25 nM. Furthermore, fluorescence quenching induced by Mn(VII) was selectively restored in the presence of glutathione (GSH), enabling its determination with a detection limit of 35.27 μM. The fluorescence recovery originates from the redox reaction between GSH and Mn(VII), which effectively eliminates the quenching species and restores the emissive state of the AACDs. This sequential fluorescence "turn-off/turn-on" sensing platform provides a simple, rapid, and highly selective strategy for the dual detection of Mn(VII) and GSH. The combination of green synthesis, excellent photostability, and sensitive dual-analyte detection underscores the potential of DES-derived carbon dots as versatile fluorescent nanoprobes for environmental monitoring and bioanalytical applications.