Identifying bioethanol technology generations from the patent data

Karvonen, Matti; Klemola, Kimmo

doi:10.1016/j.wpi.2019.03.004

Cited by 19 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Patbase, Qpat and Lexis Nexis, and the tools meant to visualize and progressively evaluate patents. The latter type handles unstructured data type while the former also evaluates unstructured data [7]. The former one has been focused in this contribution.…”

Section: Study Analysismentioning

confidence: 99%

Analysis on Data Mining Tools Used in Business Intelligence and Inventions

2021

JCNS

View full text Add to dashboard Cite

This paper will evaluate data mining tools for competitive intelligence and technology. Data analyzers i.e. Thomson and OmniViz are the tools for completing diversified and sophisticated mathematical analyses of data. AnaVist and Aureka are considerable for modest visualization of statistics and itoplistsi is used for creating maps that are stylish. Novel features of OmniViz during the comparison of other tested tools are used for visualizing clustered data from difference viewpoints, which makes it possible to assess the attributes using patent map animation. The Thomson data analyzer provides effective tools that compare various subsets for data, such as the identification of unique attribute values. In citation assessments, Aureka is used as well as in illustrative patent maps. AnaVist is the best in retrieving basis statistics smoothly and quickly. The findings from four tools were similar, despite the fact that various databases for data retrieving were utilized. Superior investors and assignees list were the same, since they were an annual trend for geographical and technological business segments. Nonetheless, the conclusions from the findings were that business decisions are made using their tools to enhance competitive intelligence.

show abstract

Section: Study Analysismentioning

confidence: 99%

Analysis on Data Mining Tools Used in Business Intelligence and Inventions

2021

JCNS

View full text Add to dashboard Cite

show abstract

“…In the last two decades, global biofuel production increased by over 94%, because many countries are replacing a portion of their fossil fuels with bioethanol. As major producer of bioethanol, the USA and Brazil produce about 57.7 billion L and 27.6 billion L of bioethanol annually, respectively [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…However, second- and third-generation bioethanol have obvious drawbacks. In particular, the lignocellulosic biomass with complex and rigid structure is difficult to degrade, and ethanol productivity is relatively low [ 2 , 4 ]. Additionally, algae have the higher cultivation cost, plus many harvesting and extraction steps [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Genetic Engineering of Starch Biosynthesis in Maize Seeds for Efficient Enzymatic Digestion of Starch during Bioethanol Production

Niu

Liu

Zhang

et al. 2023

IJMS

View full text Add to dashboard Cite

Maize accumulates large amounts of starch in seeds which have been used as food for human and animals. Maize starch is an importantly industrial raw material for bioethanol production. One critical step in bioethanol production is degrading starch to oligosaccharides and glucose by α-amylase and glucoamylase. This step usually requires high temperature and additional equipment, leading to an increased production cost. Currently, there remains a lack of specially designed maize cultivars with optimized starch (amylose and amylopectin) compositions for bioethanol production. We discussed the features of starch granules suitable for efficient enzymatic digestion. Thus far, great advances have been made in molecular characterization of the key proteins involved in starch metabolism in maize seeds. The review explores how these proteins affect starch metabolism pathway, especially in controlling the composition, size and features of starch. We highlight the roles of key enzymes in controlling amylose/amylopectin ratio and granules architecture. Based on current technological process of bioethanol production using maize starch, we propose that several key enzymes can be modified in abundance or activities via genetic engineering to synthesize easily degraded starch granules in maize seeds. The review provides a clue for developing special maize cultivars as raw material in the bioethanol industry.

show abstract

“…Patent analysis is one of the approaches to access innovative technologies and commercial aspects of a specific field [34]. The interest in searching for patents on cellulosic ethanol [35][36][37][38] or synthetic biology [39][40][41] is expanded here towards the technological development to future energy needs guided by the sustainable bioeconomy agenda. A total of 298 patent families were retrieved using Questel-Orbit Intelligence software.…”

Section: Introductionmentioning

confidence: 99%

Technological Advances in Synthetic Biology for Cellulosic Ethanol Production

Fantinel¹,

Margis²,

Talamini³

et al. 2022

Biorefineries - Selected Processes

View full text Add to dashboard Cite

The resurgence of biofuels in the recent past has brought new perspectives for renewable energy sources. Gradually the optimistic scenarios were being challenged by the competition for raw materials dedicated to direct or indirect human food. Second-generation biorefineries have emerged as technological alternatives to produce biofuels from lignocellulosic biomass. The third generation of biorefineries uses alternative raw materials like algae and microalgae. Despite the technical feasibility, these biorefineries were indebted for their economic performance. Synthetic biology has provided new microbial platforms that are increasingly better adapted to industrial characteristics to produce biofuels and fine chemicals. Synthetic biology bioengineers microorganisms to take advantage of the low-cost and less-noble raw materials like lignocellulosic biomass, carbon dioxide, and waste as a sustainable alternative for bioenergy generation using bio-substrates. In this chapter, we analyze the innovations in synthetic biology as applied to cellulosic ethanol production based on registered patents issued over the last twenty years (1999–2019). Using Questel-Orbit Intelligence, we recovered a total of 298 patent families, from which we extracted the key concepts and technology clusters, the primary technological domains and applications, the geographical distribution of patents, and the leading patents assignees. Besides, we discuss the perspectives for future research and innovations and the market and policy opportunities for innovation in this technological field. We conclude that the patented technologies serve as a proxy for the development of synthetic biotechnology applied in cellulosic ethanol production by the fourth generation of biorefineries.

show abstract

Identifying bioethanol technology generations from the patent data

Cited by 19 publications

References 19 publications

Analysis on Data Mining Tools Used in Business Intelligence and Inventions

Analysis on Data Mining Tools Used in Business Intelligence and Inventions

Genetic Engineering of Starch Biosynthesis in Maize Seeds for Efficient Enzymatic Digestion of Starch during Bioethanol Production

Technological Advances in Synthetic Biology for Cellulosic Ethanol Production

Contact Info

Product

Resources

About