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All Journal Indonesian Mining Journal Metalurgi Indonesian Mining Journal
Nopriantoko, Rahadian
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Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Green Approaches to Extractive Metallurgy: A Novel Synthesis of Sustainable Practices Nopriantoko, Rahadian
Metalurgi Vol 39, No 1 (2024): Metalurgi Vol. 39 No. 1 2024
Publisher : National Research and Innovation Agency (BRIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/metalurgi.2024.748

Abstract

The realm of extractive metallurgy, a cornerstone for diverse industrial applications, has traditionally grappled with environmental challenges stemming from conventional extraction methods. This thorough literature review delves into the realm of innovative green approaches within extractive metallurgy, with the overarching goal of synthesizing sustainable practices. The introduction casts a spotlight on the environmental quandaries associated with traditional metallurgical practices, underscoring the imperative for ecologically friendly alternatives. The research methodology meticulously entails a comprehensive review of peer-reviewed literature, applying stringent criteria to handpick studies that delve into sustainable metallurgical practices. The results and discussion section intricately categorizes and dissects an array of green approaches in metal extraction, including bioleaching, ionic liquids, supercritical fluid extraction, green hydrometallurgy, electrochemical methods, and hybrid processes, providing nuanced insights into their efficacy and sustainability. Through the lens of case studies, the study sheds light on recent strides made by industries that have wholeheartedly embraced these sustainable practices, with a keen focus on unraveling their consequential environmental and economic impacts. Moreover, the study conscientiously addresses the challenges encountered in the adoption of green metallurgy and adeptly identifies latent opportunities for further development in this transformative field. The findings resonate with a resounding call for the widespread adoption of sustainable practices within extractive metallurgy, emphasizing their profound implications for both industrial application and the trajectory of future research endeavors. This expanded exploration underscores the pivotal role of environmentally conscious approaches in reshaping the landscape of extractive metallurgy, paving the way for a more sustainable and responsible future.
HARNESSING ADVANCED MATERIALS AND EXTRACTIVE METALLURGY FOR OPTIMIZING MINERAL AND ENERGY RESOURCE VALUE CHAINS Nopriantoko, Rahadian
Indonesian Mining Journal Vol 28 No 2 (2025): Indonesian Mining Journal, October 2025
Publisher : Balai Besar Pengujian Mineral dan Batubara tekMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30556/imj.Vol28.No2.2025.1641

Abstract

This research examines recent advancements in advanced materials and extractive metallurgy for optimizing mineral and energy resource value chains. The study's purpose is to synthesize current research, emerging technologies, and future prospects in resource value chain optimization. The novelty lies in the comprehensive analysis of synergies between advanced materials, innovative extractive techniques, and cutting-edge technologies like AI and biotechnology. A systematic literature review methodology was employed, focusing on peer-reviewed papers from 2018 onwards, with data extracted and analyzed using standardized forms and qualitative software. Key findings include significant improvements in extraction efficiency and selectivity through nanostructured materials and high-performance membranes, with lab-scale efficiency increases of 50-70% translating to 20-30% in industrial settings. Bio-inspired techniques in extractive metallurgy have shown promise, reducing energy consumption by up to 40% in some processes. The integration of AI and machine learning has demonstrated potential for optimizing complex ore beneficiation, improving overall recovery rates. The study discusses challenges in scaling up laboratory innovations to industrial applications and the need to address hidden environmental costs of new technologies. Limitations include the exclusion of non-English studies and potential delays in reflecting very recent advancements. This review contributes to the field by offering insights for researchers, industry professionals, and policymakers to foster sustainable and efficient resource utilization practices, highlighting the transformative potential of integrating advanced materials, extractive metallurgy innovations, and emerging technologies in reshaping resource value chains.
HARNESSING ADVANCED MATERIALS AND EXTRACTIVE METALLURGY FOR OPTIMIZING MINERAL AND ENERGY RESOURCE VALUE CHAINS Nopriantoko, Rahadian
Indonesian Mining Journal Vol 28 No 2 (2025): Indonesian Mining Journal, October 2025
Publisher : Balai Besar Pengujian Mineral dan Batubara tekMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30556/imj.Vol28.No2.2025.1641

Abstract

This research examines recent advancements in advanced materials and extractive metallurgy for optimizing mineral and energy resource value chains. The study's purpose is to synthesize current research, emerging technologies, and future prospects in resource value chain optimization. The novelty lies in the comprehensive analysis of synergies between advanced materials, innovative extractive techniques, and cutting-edge technologies like AI and biotechnology. A systematic literature review methodology was employed, focusing on peer-reviewed papers from 2018 onwards, with data extracted and analyzed using standardized forms and qualitative software. Key findings include significant improvements in extraction efficiency and selectivity through nanostructured materials and high-performance membranes, with lab-scale efficiency increases of 50-70% translating to 20-30% in industrial settings. Bio-inspired techniques in extractive metallurgy have shown promise, reducing energy consumption by up to 40% in some processes. The integration of AI and machine learning has demonstrated potential for optimizing complex ore beneficiation, improving overall recovery rates. The study discusses challenges in scaling up laboratory innovations to industrial applications and the need to address hidden environmental costs of new technologies. Limitations include the exclusion of non-English studies and potential delays in reflecting very recent advancements. This review contributes to the field by offering insights for researchers, industry professionals, and policymakers to foster sustainable and efficient resource utilization practices, highlighting the transformative potential of integrating advanced materials, extractive metallurgy innovations, and emerging technologies in reshaping resource value chains.
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