A review of recent trends, advancements, and future directions in near-infrared spectroscopy applications in biofuel production and analysis

被引:0
|
作者
Odoi-Yorke, Flavio [1 ]
Kaburi, Sandra Ama [2 ]
Sanful, Rita Elsie [3 ]
Otoo, Gifty Serwaa [2 ]
Lamptey, Francis Padi [2 ]
Abbey, Agnes Abeley [1 ]
Agyekum, Ephraim Bonah [4 ,5 ,6 ,7 ]
Darko, Ransford Opoku [8 ]
机构
[1] Cape Coast Tech Univ, Sch Engn, Dept Renewable Energy Technol, Cape Coast, Ghana
[2] Cape Coast Tech Univ, Sch Appl Sci & Technol, Dept Food Sci & Postharvest Technol, Cape Coast, Ghana
[3] Cape Coast Tech Univ, Sch Appl Sci & Technol, Dept Hospitality Management, Cape Coast, Ghana
[4] Ural Fed Univ, Dept Nucl & Renewable Energy, 19 Mira St, Ekaterinburg 620002, Russia
[5] Appl Sci Private Univ, Appl Sci Res Ctr, Amman, Jordan
[6] Tashkent State Univ Econ, Islam Karimov St 49, Tashkent city 100066, Uzbekistan
[7] Jadara Univ, Jadara Univ Res Ctr, Irbid, Jordan
[8] Univ Cape Coast, Sch Agr, Dept Agr Engn, Cape Coast, Ghana
关键词
Biofuels; Bibliometric analysis; Near-infrared spectroscopy; Oxidative stability; BIODIESEL FUEL QUALITY; VOLATILE FATTY-ACIDS; NIR SPECTROSCOPY; DIESEL FUEL; COMPOSITIONAL ANALYSIS; TRANSESTERIFICATION REACTION; DIESEL/BIODIESEL BLENDS; DETECT ADULTERATION; RAPID-DETERMINATION; CALORIFIC VALUES;
D O I
10.1016/j.infrared.2024.105692
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The growing demand for sustainable energy solutions has intensified research into biofuel production and analysis techniques. Near-infrared spectroscopy (NIRS) has emerged as a promising tool in this field, yet a comprehensive understanding of its applications and impact remains lacking. This study aims to systematically review and analyse the applications of NIRS in biofuel production and analysis, providing insights into research trends, key contributors, and future directions. A bibliometric analysis was conducted using the Scopus database, covering publications from 1996 to 2023. The methodology included quantitative analysis, thematic mapping, factorial analysis, and citation analysis using the Bibliometrix package in R. The findings reveal a significant growth in NIRS biofuel applications, with an 11.85% annual increase in publications. The USA, China, and Brazil emerged as leading contributors, with strong international collaborations. Key applications include real-time monitoring of biodiesel production, biomass characterisation, and biogas production analysis. The integration of machine learning with NIRS data analysis represents a notable trend, enhancing prediction accuracy and model robustness. Thematic analysis identifies emerging research clusters in process monitoring, quality control, and feedstock analysis. These findings have important implications for both research and industry. The versatility of NIRS across various biofuel types and production stages suggests its potential for improving process efficiency and product quality. The identified research trends provide direction for future studies, particularly in standardising methodologies and developing more sophisticated data analysis techniques. This review highlights NIRS as a key technology that is enabling the advancement of sustainable biofuel production.
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页数:20
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