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Digital Nano-Plastic Science (DNPS) Paradigm: Computational Intelligence and Proteostasis Disruptions.
Summary
This paper proposes a new interdisciplinary framework called Digital Nano-Plastic Science that uses computational intelligence and predictive modeling to study how nanoplastics disrupt biological systems. The framework introduces concepts for simulating nanoplastic interactions with biological communication pathways and proposes risk scoring systems for policy use. The work aims to bridge computational science and environmental policy by aligning research with UN Sustainable Development Goals.
Framework: Digital Nano-Plastic Science (DNPS) Paradigm Author: Dr. Reyed (2026) Abstract & Scope: This document establishes the foundational architecture for Digital Nano-Plastic Science (DNPS), a novel interdisciplinary paradigm designed to address the invisible threats of the Anthropocene. By transitioning from traditional observational methods to Predictive Environmental Intelligence, this work introduces the Sovereign Governance Systemic Risk Score (SRS) and the Digital Deterministic Simulation Framework (DDSF). Key Scientific Contributions: Informational Bio-Interface: Re-conceptualizing nanoplastics as data-encoded entities that disrupt biological communication. T5DM Identification: Providing the first clinical and systemic framework for Type 5 Diabetes Mellitus (T5DM), defined as a metabolic failure induced by chronic 'informational noise' and Transductive Signal Load (TSL). Policy & One Health: Operationalizing the One Health initiative through Digital Twins, allowing for real-time simulation of bioremediation and ecosystem recovery. SDG Alignment: Mapping scientific milestones directly to UN Sustainable Development Goals (SDGs 3, 12, 14, and 15) to facilitate evidence-based environmental jurisprudence. Purpose: This publication serves as a strategic "White Paper" and a core chapter for global environmental policy, bridging the gap between high-dimensional computational intelligence and planetary stewardship. It is intended for policymakers, clinical researchers, and environmental scientists focused on the long-term impact of plastic debris on human proteostasis and global ecology.
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