Microbial cellulases have been receiving worldwide attention, as they have enormous potential to process the most abundant cellulosic biomass on this planet and transform it into sustainable biofuels and other value added products. The synergistic action of endoglucanases, exoglucanases, and β-glucosidases is required for the depolymerization of cellulose to fermentable sugars for transformation in to useful products using suitable microorganisms. The lack of a better understanding of the mechanisms of individual cellulases and their synergistic actions is the major hurdles yet to be overcome for large-scale commercial applications of cellulases. We have reviewed various microbial cellulases with a focus on their classification with mechanistic aspects of cellulase hydrolytic action, insights into novel approaches for determining cellulase activity, and potential industrial applications of cellulases.
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http://dx.doi.org/10.1007/s12010-016-2070-3 | DOI Listing |
J Imaging Inform Med
January 2025
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.
The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.
View Article and Find Full Text PDFChempluschem
January 2025
Jiangsu Agri-animal Husbandry Vocational College, Department of Pharmacy, CHINA.
With enrichment of tetracycline (TC) in ecosystems, its accurate detection has become a major concern. Noble-metal nano-particles have attracted great interest as potential materials for sensing applications because of their remarkable electrical properties and adaptability. Herein, a novel electro-chemical detection technique based on carbon nano-tubes (CNTs) as the support material is developed to detect TC with high precision.
View Article and Find Full Text PDFJ Public Health Policy
January 2025
Indian Council of Medical Research, V. Ramalingaswami Bhawan, Ansari Nagar, New Delhi, 110029, India.
Collaborative initiatives of the drone industry and healthcare sector are becoming a pivotal step in restructuring healthcare service delivery in India. This paper documents knowledge and perceptions of healthcare workers from various districts of Manipur and Nagaland towards the use of drones for medical supply in the region. The study utilized 27 in-depth interviews with healthcare workers to collect qualitative data, which was then analyzed using NVivo 14 for thematic and content analysis.
View Article and Find Full Text PDFSci Rep
January 2025
College of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China.
The construction industry is generally characterized by high emissions, making its transition to low-carbon practices essential for achieving a low-carbon economy. However, due to information asymmetry, there remains a gap in research regarding the strategic interactions and reward/punishment mechanisms between governments and firms throughout this transition. This paper addresses this gap by investigating probabilistic and static reward and punishment evolutionary games.
View Article and Find Full Text PDFSci Rep
January 2025
ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
The mutant waxy allele (wx1) is responsible for increased amylopectin in maize starch, with a wide range of food and industrial applications. The amino acid profile of waxy maize resembles normal maize, making it particularly deficient in lysine and tryptophan. Therefore, the present study explored the combined effects of genes governing carbohydrate and protein composition on nutritional profile and kernel physical properties by crossing Quality Protein Maize (QPM) (o2o2/wx1wx1) and waxy (o2o2/wx1wx1) parents.
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