Biodegradation

Poznyak, Tatyana; Oria, Isaac Chairez; Poznyak, Alexander S.

doi:10.1016/b978-0-12-812847-3.00023-8

Cited by 20 publications

(12 citation statements)

References 39 publications

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“…These results show Bacillus licheniformis able to reduce COD value and confirm the research conducted by Sonune et al (2015) [14]. Microorganism can degrade the complexity of chemical compounds with organic substances into smaller compounds such as CO2 and water, as follows [15,16]:…”

Section: The Efficiency Of Chemical Oxygen Demand (Cod) Removalsupporting

confidence: 76%

COD Removal of Batik Wastewater using Microbial Immobilization System for Agricultural Purposes

Yuniati¹,

Rachmawati²,

Nurjayati³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Batik is made through a series of processes that requires large amount of water. One of these processes is dying the fabric using chemical dyes. Many batik producers in Yogyakarta dispose the wastewater straight into the river or on the ground. Since batik is recognized as UNESCO’s Intangible Cultural Heritage of Indonesia, batik industries have been grown rapidly. As a result, batik wastewater became a huge contributor to environmental pollution, especially land and water resources. In the present study, application of microorganisms (bioremediation) to remove or degrade pollutant of batik wastewater was investigated. Microorganisms of Bacillus licheniformis were immobilized in bentonite mineral. This microbial immobilized system then applied in aerobic reactor of continuous process. The concentration of Chemical Oxygen Demand (COD) was calculated as daily parameter. Although the final COD concentration still doesn’t meet the government standard, this microbial immobilization system shows promising COD removal results. The highest COD removal is 75%. This experiment is still in the early stages and further phases of the experiment are required to reach safe chemical parameters of batik wastewater for agricultural purposes as regulated by the Indonesian government.

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Section: The Efficiency Of Chemical Oxygen Demand (Cod) Removalsupporting

confidence: 76%

COD Removal of Batik Wastewater using Microbial Immobilization System for Agricultural Purposes

Yuniati¹,

Rachmawati²,

Nurjayati³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…However, it seems that the best structure to realize the predictions are LSTM network [37] , Gated Recurrent Unit RNN (GRURNN) [46] , and Clockwork RNN (CW-RNN) [47] . The RNN, as alternatively called Auto Associative or Feedback Network, falls in the category of ANNs in which a directed cycle is made through connections between units [48] . Being a widely appreciated DL family, RNNs have succeeded to present promising results in a lot of machine learning and computer vision tasks [49] .…”

Section: The Possible Platform To Accelerate Conventional Methodsmentioning

confidence: 99%

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

et al. 2020

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COVID-19 outbreak has put the whole world in an unprecedented difficult situation bringing life around the world to a frightening halt and claiming thousands of lives. Due to COVID-19's spread in 212 countries and territories and increasing numbers of infected cases and death tolls mounting to 5,212,172 and 334,915 (as of May 22 2020), it remains a real threat to the public health system. This paper renders a response to combat the virus through Artificial Intelligence (AI). Some Deep Learning (DL) methods have been illustrated to reach this goal, including Generative Adversarial Networks (GANs), Extreme Learning Machine (ELM), and Long /Short Term Memory (LSTM). It delineates an integrated bioinformatics approach in which different aspects of information from a continuum of structured and unstructured data sources are put together to form the user-friendly platforms for physicians and researchers. The main advantage of these AI-based platforms is to accelerate the process of diagnosis and treatment of the COVID-19 disease. The most recent related publications and medical reports were investigated with the purpose of choosing inputs and targets of the network that could facilitate reaching a reliable Artificial Neural Network-based tool for challenges associated with COVID-19. Furthermore, there are some specific inputs for each platform, including various forms of the data, such as clinical data and medical imaging which can improve the performance of the introduced approaches toward the best responses in practical applications.

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“…For example, fungal enzymes will oxidatively degrade the wood-based polymers in nature as the growth environment is favorable for fungus. Fungus may not naturally grow on piles of synthetic polymers …”

Section: Mechanisms Of Degradatioonmentioning

confidence: 99%

“…), , fungi (Candida, Penicillium , Chaetomium , Sporotrichum , Talaromyces , Phanerochaete , Ganoderma , etc. ), ,, and algae …”

Section: Concepts Of Biodegradabilitymentioning

confidence: 99%

A Critical Review of the Performance and Soil Biodegradability Profiles of Biobased Natural and Chemically Synthesized Polymers in Industrial Applications

Tyagi

Agate

Velev

et al. 2022

Environ. Sci. Technol.

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This review explores biobased polymers for industrial applications, their end fate, and most importantly, origin and key aspects enabling soil biodegradation. The physicochemical properties of biobased synthetic and natural polymers and the primary factors governing degradation are explored. Current and future biobased systems and factors allowing for equivalent comparisons of degradation and possible sources for engineering improved biodegradation are reviewed. Factors impacting ultraviolet (UV) stability of biopolymers have been described including methods to enhance photoresistance and impact on biodegradation. It discusses end-fate of biopolymers in soil and impact of residues on soil health. A limited number of studies examine side effects (e.g., microbial toxicity) from soil biodegradation of composites and biopolymers. Currently available standards for biodegradation and composting have been described with limitations and scope for improvements. Finally, design considerations and implications for sustainable polymers used, under consideration, and to be considered within the context of a rational biodegradable strategy are elaborated.

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Biodegradation

Cited by 20 publications

References 39 publications

COD Removal of Batik Wastewater using Microbial Immobilization System for Agricultural Purposes

COD Removal of Batik Wastewater using Microbial Immobilization System for Agricultural Purposes

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

A Critical Review of the Performance and Soil Biodegradability Profiles of Biobased Natural and Chemically Synthesized Polymers in Industrial Applications

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