Recent advances in packaging technology have given rise to the concept of intelligent packaging, which incorporates various sensing and communication capabilities to enhance product safety, quality, and consumer engagement. This paper reviews the latest trends in intelligent packaging, focusing on innovations that improve shelf-life monitoring, provide real-time information to consumers, and contribute to sustainability.

This review examines low-power techniques critical for the implementation of Micro Electromechanical Systems (MEMS)-based shock and vibration sensing systems in remote, long-term monitoring applications. The primary aim is to identify, assess, and compare strategies for reducing power consumption in sensor interfaces, signal conditioning, microcontroller units, wireless communication, and energy harvesting systems. The scope includes ultra-low-power …

Low-Power Methodologies for MEMS-Based Shock and Vibration Sensors in Remote Monitoring – A ReviewRead More

Nanomaterials are commonly known as materials engineered with at least one dimension less than 100 nm in size. Due to these nanoscale dimensions, nanomaterials exhibit significantly different physicochemical properties compared to their bulk counterparts. […] This mini review critically examines “green synthesis” as a sustainable and eco-friendly approach for nanomaterial fabrication. This mini review clarifies …

Green Synthesis of Nanomaterials: A Sustainable Approach in Material Science: ReviewRead More

This review paper provides a general overview of Organic Solar Cells (OSCs), more precisely their instability and commercialization challenges. […] Despite significant advances made, with power conversion efficiencies (PCEs) over 20% under laboratory conditions, the biggest challenge for wide-scale commercialization remains poor device stability and scalability. […] Notably, the synergistic effect of optimizing the active …

Toward Commercial Viability: A Comprehensive Review of Organic Solar Cell Stability and ScalabilityRead More

This paper presents the development and validation of a real time predictive control system for a multiple effect industrial juice evaporator using an Adaptive Neuro Fuzzy Inference System (ANFIS). Traditional control schemes like PID controllers and AI models often struggle to handle the nonlinearities, long delays, and coupling effects in evaporation processes, leading to suboptimal …

Development Of a Predictive Model for Evaporation Unit Based on Critical FactorsRead More