scholarly journals An overview of applications in pineapple agroindustrial residues

2018 ◽  
Vol 111 (2) ◽  
pp. 445 ◽  
Author(s):  
Franklyn Da Cruz LIMA ◽  
Andressa Juliana Almeida SIMÕES ◽  
Isabela Maria Monteiro VIEIRA ◽  
Daniel Pereira SILVA ◽  
Denise Santos RUZENE

Industrial food production causes a high amount of waste. This waste must be taken to a suitable location where it can be further processing. During industrial processing of the pineapple, about 50 % of the mass of the fruit ends up being discarded becoming a residue. Researchers have studied these residues in order to add value to these by-products, to reduce disposal costs and guarantee environmental sustainability. This work investigates the development characteristics of research on agroindustrial residues of pineapple based on bibliometric methods to explore the structure of knowledge in this field over the years, according to the year of publication, periodicals, country, authors, area of knowledge, institutions, keywords, subject type, and citation analysis. In total 927 articles were found and after a careful analysis and selection of papers, 364 articles remained of which 82 % were published only in the last decade. Most studies focused on agricultural and biological sciences. About 1183 authors from 50 different countries contributed to this subject, in which India has the largest number of publications. The results obtained with this study, highlighting the different uses for pineapple residues, can provide valuable information for researchers interested in the field of agroindustrial wastes.

Planta Medica ◽  
2014 ◽  
Vol 80 (16) ◽  
Author(s):  
M Figueiredo ◽  
SM Cardoso ◽  
DF Wessel

2020 ◽  
Vol 15 ◽  
Author(s):  
Deeksha Saxena ◽  
Mohammed Haris Siddiqui ◽  
Rajnish Kumar

Background: Deep learning (DL) is an Artificial neural network-driven framework with multiple levels of representation for which non-linear modules combined in such a way that the levels of representation can be enhanced from lower to a much abstract level. Though DL is used widely in almost every field, it has largely brought a breakthrough in biological sciences as it is used in disease diagnosis and clinical trials. DL can be clubbed with machine learning, but at times both are used individually as well. DL seems to be a better platform than machine learning as the former does not require an intermediate feature extraction and works well with larger datasets. DL is one of the most discussed fields among the scientists and researchers these days for diagnosing and solving various biological problems. However, deep learning models need some improvisation and experimental validations to be more productive. Objective: To review the available DL models and datasets that are used in disease diagnosis. Methods: Available DL models and their applications in disease diagnosis were reviewed discussed and tabulated. Types of datasets and some of the popular disease related data sources for DL were highlighted. Results: We have analyzed the frequently used DL methods, data types and discussed some of the recent deep learning models used for solving different biological problems. Conclusion: The review presents useful insights about DL methods, data types, selection of DL models for the disease diagnosis.


Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 9
Author(s):  
Franklin Chamorro ◽  
María Carpena ◽  
Bernabé Nuñez-Estevez ◽  
Miguel A. Prieto ◽  
Jesus Simal-Gandara

Currently, agricultural production generates large amounts of organic waste, both from the maintenance of farms and crops, and from the industrialization of the product. Generally, these wastes are accumulated in landfills or burned, sometimes causing environmental problems. However, many scientific studies suggest that these residues are rich in bioactive compounds, so these matrices could be revalued for their use in food, cosmetic, or pharmaceutical industries. In this way, the circular and sustainable economy is favored, while obtaining products with high added value. In this case, this approach is applied to the residues generated from kiwi production, since numerous studies have shown the high content of kiwi in bioactive compounds of interest, such as phenolic compounds, vitamins, and carotenoids. These compounds have been reported for their antioxidant, anti-inflammatory, and antimicrobial activities, among other beneficial properties for health such as its use as prebiotic. Therefore, this article reviews the potential of residues derived from industrial processing and agricultural maintenance of kiwi as promising matrices for the development of new nutraceutical, cosmetic, or pharmacological products, obtaining, at the same time, economic returns and a reduction of the environmental impact of this industry, attaching it to the perspective of the circular economy.


2021 ◽  
Vol 13 (6) ◽  
pp. 3502
Author(s):  
Somnath Bandyopadhyay ◽  
Aviram Sharma ◽  
Satiprasad Sahoo ◽  
Kishore Dhavala ◽  
Prabhakar Sharma

Among the several options of managed aquifer recharge (MAR) techniques, the aquifer storage and recovery (ASR) is a well-known sub-surface technique to replenish depleted aquifers, which is contingent upon the selection of appropriate sites. This paper explores the potential of ASR for groundwater recharge in the hydrological, hydrogeological, social, and economic context of South Bihar in India. Based on the water samples from more than 137 wells and socio-economic surveys, ASR installations were piloted through seven selected entrepreneurial farmers in two villages of South Bihar. The feasibility of ASR in both hard rock and deep alluvial aquifers was demonstrated for the prominent aquifer types in the marginal alluvial plains of South Bihar and elsewhere. It was postulated through this pilot study that a successful spread of ASR in South Bihar can augment usable water resources for agriculture during the winter cropping season. More importantly, ASR can adapt to local circumstances and challenges under changing climatic conditions. The flexible and participatory approach in this pilot study also allowed the farmers to creatively engage with the design and governance aspects of the recharge pit. The entrepreneurial farmers-led model builds local accountability, creates avenues for private investments, and opens up the space for continued innovation in technology and management, while also committing to resource distributive justice and environmental sustainability.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255849
Author(s):  
Can Dai ◽  
Quan Chen ◽  
Tao Wan ◽  
Fan Liu ◽  
Yanbing Gong ◽  
...  

References are employed in most academic research papers to give credits and to reflect scholarliness. With the upsurge in academic publications in recent decades, we are curious to know how the number of references cited per research article has changed across different disciplines over that time. The results of our study showed significant linear growth in reference density in eight disciplinary categories between 1980 and 2019 indexed in Web of Science. It appears that reference saturation is not yet in sight. Overall, the general increase in the number of publications and the advanced accessibility of the Internet and digitized documents may have promoted the growth in references in certain fields. However, the seemingly runaway tendency should be well appreciated and objectively assessed. We suggest that authors focus on their research itself rather than on political considerations during the process of writing, especially the selection of important references to cite.


2020 ◽  
Vol 133 (21) ◽  
pp. jcs256016

ABSTRACTFirst Person is a series of interviews with the first authors of a selection of papers published Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Wei Sheng Yap is first author on ‘The yeast FIT2 homologs are necessary to maintain cellular proteostasis and membrane lipid homeostasis’, published in JCS. Wei Sheng works in the lab of Guillaume Thibault in the School of Biological Sciences, Nanyang Technological University, Singapore, studying the interplay between the proteostasis network and lipid homeostasis.


2015 ◽  
Vol 10 (1) ◽  
pp. 81-102
Author(s):  
Youngho Chang ◽  
Jiesheng Tan ◽  
Letian Chen

Studies on sustainable development rely on diverse and seemingly conflicting concepts that yield contrasting results. The root of these conflicting concepts is the lack of agreement on the path toward achieving sustainable development (SD), namely, weak (or economic) versus strong (or ecological) sustainability. This article revisits the Solow-Hartwick model (Solow 1974, 1986; Hartwick 1977, 1978a, 1978b), which suggests that an economy can achieve intergenerational equity by mandating the Hartwick rule of investing the amount of rents from natural capital into renewable capital. It constructs a modified Solow-Hartwick model in which the assumptions of constant population and no technological progress are relaxed and from which it derives a more general form of the Hartwick rule. The modified Solow-Hartwick investment rule presents how weak sustainability can be attained and explains how the residual Hotelling rents (or proceeds from natural resources) could be utilized in order to achieve strong sustainability. In this article, we apply the modified Solow-Hartwick investment rule to a selection of developing and developed Asian economies to assess their sustainability. We then compare our results with two existing measures of sustainability, the genuine savings (GS) model and the Environmental Sustainability Index (ESI), both of which frequently present contradicting evaluations on the status of sustainability.


Fishes ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 56 ◽  
Author(s):  
Francisca P. Martínez ◽  
Laura Bermúdez ◽  
María J. Aznar ◽  
Francisco J. Moyano

The Mugilidae are a group of fish with a great interest for aquaculture due to their omnivorous profile, rapid growth, and resistance to environmental variations. The selection of feed ingredients for these species is currently focused on an extensive use of plant by-products, with this being limited by their content in anti-nutritive factors (mainly phytate and non-starch polysaccharides; NSPs). Nevertheless, specific enzymes can be used to counteract some of those negative effects. In the present study, the effect of pretreating two high-plant feeds with a mixture of enzymes (glucanases + phytase) on the digestive use of protein and phosphorus by juvenile mullets (Mugil cephalus) was assessed using both in vitro and in vivo assays. The enzymatic treatment significantly modified the potential bioavailability of some nutrients, such as a reduction of sugars, pentoses, and phytic phosphorus. Also, it increased the digestibility of protein in one of the feeds but reduced that of phosphorus in both of them. The potential usefulness of enzyme treatment and the information provided by the two types of assays are discussed.


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