A research team comprising Jhuma Dutta, Nisha Yadav, Ayan Pal, Subhas Barman, Matangini Chattopadhyay, and Samiran Chattopadhyay has designed, implemented, and formally verified a comprehensive blockchain framework capable of converting image, video, and PDF files into non-fungible tokens. Published in Discover Networks, the study presents an end-to-end decentralized architecture that pairs Ethereum smart contracts with distributed data storage to overcome persistent operational hurdles in digital asset management. By employing the ERC-721 token standard alongside Proof-of-Stake consensus mechanics, the researchers demonstrated a structured methodology for generating unique digital tokens, recording verifiable ownership on-chain, and conducting secure secondary market transactions without relying on centralized validation authorities.

As non-fungible tokens have expanded from digital artwork and collectibles into virtual real estate, gaming items, and academic documentation, earlier deployments have continued to grapple with significant technical constraints. The researchers emphasize that existing token environments frequently suffer from poor cross-platform interoperability, high energy expenditure, piracy vulnerabilities, inadequate ownership control mechanisms, and pervasive smart contract execution vulnerabilities. Conventional distributed networks trace back to cryptographic ledgers introduced for Bitcoin payments, but non-fungible items require unique, non-interchangeable identifiers that authenticate absolute scarcity and provenance, in contrast to fungible currencies like Bitcoin, Ether, or traditional fiat denominations.

In surveying the academic and commercial landscape, the study notes that while platforms such as OpenSea, Axie Infinity, CryptoPunks, Foundation, Rarible, AtomicMarket, and SuperRare have established substantial trading volumes, scholarly literature has often lacked concrete implementation frameworks or standardization mechanisms for pricing and cross-chain scalability. Earlier investigations examined economic valuations, museum fundraising models, and healthcare data applications, but frequently omitted practical token standard blueprints, formal contract verification, or empirical latency measurements across varied multimedia formats. The authors designed their system to directly address these implementation gaps through a standardized, verified architecture.

The system architecture integrates a user interface developed using the React JavaScript library with smart contracts written in Solidity and managed through the Hardhat Ethereum development environment. To facilitate seamless user interaction, the client layer incorporates MetaMask as a payment gateway and wallet provider. Through this interface, creators and collectors connect their cryptocurrency holdings directly to the decentralized platform, enabling the execution of on-chain operations with transparent cryptographic security while keeping user-facing navigation streamlined across a dedicated digital marketplace gallery.

Handling larger media assets on a distributed ledger introduces prohibitive computational and financial burdens if raw data is placed directly on-chain. To circumvent excessive storage overhead, the proposed framework integrates the InterPlanetary File System, a decentralized storage network that accepts media uploads and computes a unique cryptographic hash known as a Content Identifier. Instead of storing entire binary image, video, or PDF files on the blockchain ledger, the system records only this unique Uniform Resource Locator and cryptographic hash, drastically reducing execution costs and storage footprints while preserving verifiable data integrity.

The token creation workflow begins when a user uploads content and defines associated metadata, including the item title, description, file size, and designated royalty percentages for future downstream sales. The underlying smart contract, inheriting directly from the ERC-721 standard, executes a dedicated minting function that generates a distinct token identifier linked to the cryptographic storage address while incrementing an internal token counter. Following successful wallet approval and gas fee deduction, the newly minted asset is registered on the ledger and cataloged within the user’s personal digital repository, designated as an NFT Treasury.

Marketplace liquidity and exchange mechanics are governed by two distinct contract procedures termed makeItem and purchaseItem. When a creator or collector offers an asset for sale, the makeItem procedure verifies that the designated price is greater than zero, increments the marketplace item count, transfers the token to the marketplace contract escrow, maps listing attributes, and emits an Offered event across the network. When a buyer completes an acquisition, purchaseItem calculates total costs comprising the asset price and platform transaction fees, verifies payment accuracy, transfers Ether to the seller, remits fees to an immutable fee account, dispatches the token to the buyer, and emits a Bought event.

Empirical performance evaluations were conducted on a physical test bench consisting of an Intel Core i5-1035G1 central processing unit operating at 1.00 GHz. The backend architecture targeted the Ethereum Sepolia testnet to emulate Ethereum 2.0 network conditions, and the user interface was deployed on Vercel. Security and standards compliance were reinforced by integrating community-reviewed open-source smart contract libraries, specifically OpenZeppelin contracts version 4.9.5, which provided standardized token foundations and structural defenses against reentrancy vulnerabilities via the ReentrancyGuard module.

Experimental trials examined files across multiple formats, including PNG, GIF, and PDF files, spanning sizes from 1.92 to 427 kilobytes. Execution cost analysis revealed that the average gas consumption for minting an NFT stood at 282,108 gwei against an average gas limit of 302,008 gwei, exhibiting a variance of 166,986,947.2. The gas required for initial minting remained consistent across image and video files within similar size distributions, whereas subsequent buying and selling transactions incurred comparatively lower gas costs than the original asset creation stage.

Network timing benchmarks demonstrated an average transaction latency of 11.011 seconds for listing an NFT derived from an image file, accompanied by a variance of 0.487 and a confidence interval of 1.144968. For video files, the average listing latency reached 11.575 seconds. These observed delays aligned with typical confirmation intervals on the Sepolia testnet. Concurrently, transaction throughput reached approximately 0.091 transactions per second for image files and 0.086 transactions per second for video files, with a measured throughput variance of 0.0000187 and a confidence interval of 0.00202424.

To evaluate system resilience under high operational demand, the authors developed a custom Node.js load testing script to simulate concurrent minting transactions. By issuing simultaneous requests to the application programming interface using pre-signed messages and unique nonces, the test evaluated race conditions and throughput stability. The platform successfully processed 30 concurrent minting requests with a 100 percent completion rate, verifying that sequential transaction submission on the testnet could reliably handle burst traffic through disciplined nonce management.

Formal contract security was evaluated using Slither version 0.11.5, a static analysis framework employed to mathematically prove execution correctness and uncover subtle logical vulnerabilities before deployment. The smart contracts were further benchmarked against the Smart Contract Weakness Classification standard to verify resistance to common attack profiles. Looking ahead, the researchers highlighted several technical avenues for expansion, including implementing fractional token ownership, enabling multi-creator collaborative royalty splits, integrating Layer-2 scaling networks to curb mainnet gas costs, expanding cross-chain interoperability, and establishing eco-friendly marketplace architectures.

Subject of Research: Blockchain framework and smart contract architecture for non-fungible tokens

Article Title: A framework for non fungible tokens using blockchain technology

Article References: Dutta, J., Yadav, N., Pal, A., Barman, S., Chattopadhyay, M., & Chattopadhyay, S. (2026). A framework for non fungible tokens using blockchain technology. Discover Networks, 2(1), Article 18. https://doi.org/10.1007/s44354-026-00031-4

Image Credits: AI Generated

DOI: 10.1007/s44354-026-00031-4

Keywords: Non-Fungible Tokens, Blockchain Technology, Smart Contracts, ERC-721, Ethereum, InterPlanetary File System, Solidity, Software Security, framework, fungible, tokens, blockchain

News Source: Denise Maddox. (November 8, 2026). Blockchain Framework Enables Secure Minting and Trading of Multifile Digital Tokens. Scienmag.