Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents

Milanez, Douglas Henrique; Amaral, Roniberto Morato do; Faria, Leandro Innocentini Lopes de; Gregolin, Jose Angelo Rodrigues

doi:10.1590/1516-1439.266314

Cited by 15 publications

(7 citation statements)

References 24 publications

(85 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The three types of nanocelluloses have also been identified in previous bibliometric studies of nanocelluloses (Milanez et al, 2014(Milanez et al, , 2016. The results of the study of Milanez et al (2016) is interesting in comparison with our results.…”

Section: The Case Of Nanocellulosessupporting

confidence: 83%

Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics

Sjögårde

Ahlgren

2018

Journal of Informetrics

View full text Add to dashboard Cite

The purpose of this study is to find a theoretically grounded, practically applicable and useful granularity level of an algorithmically constructed publication-level classification of research publications (ACPLC). The level addressed is the level of research topics. The methodology we propose uses synthesis papers and their reference articles to construct a baseline classification. A dataset of about 31 million publications, and their mutual citations relations, is used to obtain several ACPLCs of different granularity. Each ACPLC is compared to the baseline classification and the best performing ACPLC is identified. The results of two case studies show that the topics of the cases are closely associated with different classes of the identified ACPLC, and that these classes tend to treat only one topic. Further, the class size variation is moderate, and only a small proportion of the publications belong to very small classes. For these reasons, we conclude that the proposed methodology is suitable to determine the topic granularity level of an ACPLC and that the ACPLC identified by this methodology is useful for bibliometric analyses.

show abstract

Section: The Case Of Nanocellulosessupporting

confidence: 83%

Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics

Sjögårde

Ahlgren

2018

Journal of Informetrics

View full text Add to dashboard Cite

show abstract

“…We followed the bibliometric procedure suggested to analyze the publication and patent data about nanocellulose, with some modifications [13][14][15][16]. Here, only the scientific publications were searched.…”

Section: Methodsmentioning

confidence: 99%

“…This search expression comprehended different nomenclatures used to materials classified as nanocellulose [14].…”

Section: Methodsmentioning

confidence: 99%

Mapping of the Brazilian Groups Studying Nanocellulose

Arm¹,

Jacinto²,

Spinac³

2019

Journal of Renewable Materials

View full text Add to dashboard Cite

The nanocellulose is a material that has gained much attention in the recent years. So, the relevance of Brazil in this field was evaluated concerning the scientific publications in Web of Science. Next, the Brazilian groups were mapped using a bibliometric procedure on these data. Then, more factors were analyzed from them too. They were the sources to extract the nanocellulose in Brazil, the methods to do it, the characterizations to determine its dimensions and the funding agencies of these researches. The results identified 69 Brazilian groups. Besides, the bacterial cellulose was the most common source. While the acid hydrolysis was the most used method. By its turn, the size characterization was mostly by scanning electron microscopy. At last, the most important agencies were the CNPq, the CAPES and the FAPESP. Giving these points, it was possible to suggest the opportunities to develop the nanocellulose research in Brazil.

show abstract

“…Nanocellulose refers to small fibers with nanodimensions, which is obtained from cellulose through multiple pathways, the most common being alkali or acid hydrolysis. Nanocellulose has emerged as a valuable green material for myriad of applications, varying from reinforcement materials to sensing platforms that are extremely valuable for food, pharmaceutical and environmental protection industries [4][5][6]. In addition, renewable nanocellulose obtained from biomass showed good mechanical properties, low density, anisotropic structure, optical properties, good mechanical properties, chemical resistance, tailorable surface chemistry and high biocompatibility [7].…”

Section: Introductionmentioning

confidence: 99%

Cellulose based smart sensors

Jagtiani

2022

Adv Biochips

View full text Add to dashboard Cite

Cellulose fibres, cellulose nanofibers, cellulose nanocrystals and cellulose derivatives are all examples of cellulose-based materialsthat display superior characteristics with a number of desirable properties, including biodegradability, sustainability, biocompatibility, thermal properties , optical transparency, flexibility, high mechanical strength, high porosity,hydrophilicity, a large surface area and broad chemical modification capabilities. "Smart" materials based on cellulose created by the chemical changes and physical incorporation/blending techniques offer numerous advantages, most notably their intelligent responses to environmental stimuli. Conductive networks are formed in cellulose-based composite materials by combining or coating conductive materials with the cellulose components or by directly carbonising the cellulose materials. Numerous nanopaper-based optical sensing platforms are explained and how they can be tailored to exhibit plasmonic or photoluminescent features suitable for sensing applications using nanomaterials or as biomaterials. The responsiveness of these "smart" materials to pH, temperature, light, electricity, magnetic fields and mechanical forces, among other parameters, is also reviewed, as were their applications as drug delivery systems, hydrogels, electronic active papers, sensors, shape memory materials, smart membranes, etc.

show abstract

Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents

Cited by 15 publications

References 24 publications

Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics

Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics

Mapping of the Brazilian Groups Studying Nanocellulose

Cellulose based smart sensors

Contact Info

Product

Resources

About