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Graphene-Based Electrochemical Sensors for Heavy Metal Ions Detection: A Comprehensive Review Dilshad, Muhammad; Hussain, Tariq; Ali, Shahbaz; Shahzad, Muhammad Shakeel; Javed, Muhammad; Ahmad, Farhan Nazir; Zaki, Asaad Ahmad
ASEAN Journal for Science and Engineering in Materials Vol 4, No 1 (2025): AJSEM: Volume 4, Issue 1, March 2025
Publisher : Bumi Publikasi Nusantara

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Abstract

The accumulation of heavy metallic ions in the human body causes serious damage. The tracking and removal of these ions is very necessary and that is done via electrochemical sensors because of quick response, high sensitivity, and low but large detection range. In this regard, the surface of the electrode plays a critical role in electrochemical performance. Here, we present a detailed review of work that has been done in the past to modify the surface of electrodes by testing the carbon nanoparticles i.e. graphene or graphene derivatives, and their combination with other nanoparticles. Mixing graphene or graphene oxide with other organic or inorganic materials forms nanocomposites which help to detect various kinds of heavy metal ions such as cadmium, mercury, copper, lead, zinc, etc. in tap water or food items. This review article includes the synthesis methodologies, working mechanisms, advantages, disadvantages, and future prospectus of this field.
A Conceptual Model of the Impact of Management Information System Implementation on Organizational Behavior: The Mediating Roles of Communication, Job Satisfaction, and Leadership Humaeriyah, Hani; Javed, Muhammad; Aghnia, Nadya Larasati
Journal of Organizational and Human Resource Development Strategies Vol. 2 No. 01 (2025): Journal of Organizational and Human Resource Development Strategies
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/ohds.v2i01.962

Abstract

This paper presents a conceptual model that investigates the influence of Management Information System (MIS) implementation on organizational behavior, with a focus on the mediating roles of communication, job satisfaction, and leadership. As organizations increasingly rely on digital systems to streamline operations, understanding the human behavioral impacts of such systems becomes essential. This study posits that MIS alone does not guarantee improved organizational performance unless it is accompanied by effective internal communication, motivated and satisfied employees, and visionary leadership. By reviewing and synthesizing findings from existing literature, the model illustrates how these three mediating factors enable the successful translation of MIS capabilities into positive employee attitudes, productive interpersonal interactions, and enhanced organizational cohesion. The paper adopts a literature-based conceptual approach, offering a comprehensive theoretical framework that bridges technology and behavior. It aims to guide future empirical research by highlighting key behavioral variables that influence the success of MIS integration. The findings underscore the importance of aligning technological change with organizational culture and human capital strategies. This model serves not only as a foundation for scholarly inquiry but also as a practical reference for managers and policymakers aiming to maximize the behavioral and operational benefits of MIS implementation.