Green Extraction of Valuable Compounds from Rubber Seed Trees: A Path to Sustainability Article Swipe
Nicky Rahmana Putra
,
Ahmad Hazim Abdul Aziz
,
Dwila Nur Rizkiyah
,
Mohd Azizi Che Yunus
,
Ratna Surya Alwi
,
Lailatul Qomariyah
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app132413102
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app132413102
Valorizing natural resources through sustainable and eco-friendly processes is a cornerstone in pursuing a greener and more sustainable future. This study focuses on the green extraction of valuable compounds from rubber seed trees (Hevea brasiliensis). This underutilized resource has the potential to yield bioactive compounds of economic and ecological significance. We explore the application of environmentally friendly extraction techniques, including supercritical fluid extraction (SFE), microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE), to harness the bioactive potential of rubber seeds. Our research encompasses a comprehensive analysis of the extracted compounds, including their characterization and quantification using state-of-the-art analytical techniques. Environmental and economic sustainability aspects are evaluated, shedding light on the green extraction processes’ ecological footprint and economic feasibility. The paper also delves into these extracted compounds’ diverse applications and utilization prospects, ranging from pharmaceuticals and nutraceuticals to cosmetic and industrial products. We discuss the commercial potential, market opportunities, and emerging trends these sustainable endeavours may shape. In conclusion, this study paves the way for a more sustainable path in harnessing valuable compounds from rubber seed trees, exemplifying the potential for green extraction techniques to play a pivotal role in the journey toward environmental stewardship and economic prosperity.
Related Topics
Concepts
Sustainability
Environmentally friendly
Hevea brasiliensis
Extraction (chemistry)
Business
Biochemical engineering
Prosperity
Pulp and paper industry
Natural rubber
Environmental science
Biotechnology
Engineering
Materials science
Chemistry
Ecology
Biology
Economics
Composite material
Economic growth
Chromatography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app132413102
- https://www.mdpi.com/2076-3417/13/24/13102/pdf?version=1702028904
- OA Status
- gold
- Cited By
- 8
- References
- 114
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389480108
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389480108Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app132413102Digital Object Identifier
- Title
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Green Extraction of Valuable Compounds from Rubber Seed Trees: A Path to SustainabilityWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-08Full publication date if available
- Authors
-
Nicky Rahmana Putra, Ahmad Hazim Abdul Aziz, Dwila Nur Rizkiyah, Mohd Azizi Che Yunus, Ratna Surya Alwi, Lailatul QomariyahList of authors in order
- Landing page
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https://doi.org/10.3390/app132413102Publisher landing page
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https://www.mdpi.com/2076-3417/13/24/13102/pdf?version=1702028904Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-3417/13/24/13102/pdf?version=1702028904Direct OA link when available
- Concepts
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Sustainability, Environmentally friendly, Hevea brasiliensis, Extraction (chemistry), Business, Biochemical engineering, Prosperity, Pulp and paper industry, Natural rubber, Environmental science, Biotechnology, Engineering, Materials science, Chemistry, Ecology, Biology, Economics, Composite material, Economic growth, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
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2025: 4, 2024: 4Per-year citation counts (last 5 years)
- References (count)
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114Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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