Lignin peroxidase: Optimization of media for higher productivity by single factor optimization method

2021 ◽  
Vol 16 (7) ◽  
pp. 130-135
Author(s):  
Shruti Shukla ◽  
Anjali Padhiar
Keyword(s):  
Lignin Peroxidase ◽  
Cost Effective ◽  
Optimization Method ◽  
Ligninolytic Enzyme ◽  
Mineral Elements ◽  
Inoculum Size ◽  
Chemical Parameters ◽  
Optimization Study ◽  
The Media ◽  
Physical And Chemical

Lignin peroxidase belongs to ligninolytic enzyme group and is one of the industrial important enzymes as it has wide applications in different sectors. Lignin peroxidase is produced by submerged fermentation process which requires optimization of physical and chemical parameters to achieve higher activity and make the process cost effective. The present study aimed at the optimization of physical as well chemical parameters of production medium. The optimization includes physical parameter such as incubation time, inoculum size, temperature, pH, RPM (Rotation per minute) while chemical parameters include carbon source, nitrogen source and different mineral elements. Form the optimization study, it was observed that highest lignin peroxidase production was achieved after 72 hours of incubation at temperature 300C, pH 6 and RPM 120. Optimization of chemical parameters reveals that incorporation of sodium nitrite (9g/L) in the media gave significant increase in enzyme activity. It was found that the maximum productivity achieved after optimization was 2214 U/ml which was four times higher than process without optimized parameters.

USE OF BRAZIL NUT KERNELS IN THE STUFFED MEAT PRODUCTS TECHNOLOGY

2021 ◽  
pp. 42-53
Author(s):  
A.A. Lukin ◽  
◽  
Ju.A. Betz ◽  
N.L. Naumova ◽  
◽  
...  
Keyword(s):  
Plant Material ◽  
Broiler Chicken ◽  
Raw Materials ◽  
Meat Product ◽  
Meat Products ◽  
Mineral Elements ◽  
Brazil Nut ◽  
Chemical Parameters ◽  
Brazil Nuts ◽  
Physical And Chemical

The results of Brazil nut kernels use in the technology of stuffed meat products are presented. The composi-tion and physical and chemical parameters of plant and meat raw materials have been studied. It has been determined that the content of lipids and mineral elements in the nut kernels exceeds their amounts established in chilled broiler chicken shins. The addition of plant material at a dosage of 10% improves the taste and aroma properties and increases the content of Ca2+ (2.2 times), Se2+ (2 times), Fe2+ (1.7 times), Mg2+ (1.6 times), P5+ and Zn2+ (by 26%) in the finished product and at the same time it decreases the amount of butter by 8% in the recipe. The Brazil nuts use also adds microelements (Cu2+, Mn2+, Mо4+, Ag+, Au3+, Co3+) and dietary fiber to the composition of meat product.

scholarly journals Cost Effective Purification of Tannery Waste Water Using Biosynthesized Silver Nanoparticles

2021 ◽  
Vol 37 (3) ◽  
pp. 667-672
Author(s):  
A. Arputharaj ◽  
P. Anbarasu
Keyword(s):  
Silver Nanoparticles ◽  
Cost Effective ◽  
Root Extract ◽  
Health Issues ◽  
Chemical Parameters ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Tannery Waste Water ◽  
Physical And Chemical

The nanotechnology has reached a greater extent of the research and now it is considered as the best source of alternative in the present world. Nowadays, the contaminants present in the water should be very difficult to remove and it leads to several health issues. It is the primary requisite to know about the different physico-chemical parameters to check the quality of water. Currently, the nanotechnology has been the emerging technology and the green synthesis is acclimating to eco-friendly, non-toxic and this method reduces the pollution. This biological approach is undertaken to diminish toxicity and to reduce pollution. In these current studies, the silver nanoparticles can be synthesized from chrysopogan zizanioides root extract. The synthesised silver nanoparticles were characterized by UV-Vis, TEM, physical and chemical parameters of water quality. The synthesised silver nanoparticles were used to reduce the chemical effluents. The outcome of the synthesis silver nanoparticles is using the vital route of wastewater treatment and also effectively reduces the water contaminations.

Influence of mineral elements on the yield and quality of grain of the prospective line in winter tritikale

2020 ◽  
Author(s):  
I.N. Voronchikhina ◽  
◽  
A.G. Marenkova ◽  
V. S. Rubets ◽  
V. V. Pylnev
Keyword(s):  
Cost Effective ◽  
Mineral Elements ◽  
Early Spring ◽  
High Potential ◽  
Winter Triticale ◽  
Yield And Quality ◽  
Fertilizer System

The results of elements development of varietal agrotechnics of a new high-potential line 238h of winter triticale presented. It was identified that under the conditions of 2020 the most cost effective fertilizer system is an early spring application of NPK (S) (15-15-15 (10)) at a dose of 200kg/ha. The profitability level of this fertilizer was 88,9%.

The influence of gelatin and starter culture on the physical and chemical parameters of cheeses with different fat content

2018 ◽  
Vol 6 (10) ◽  
pp. 123-130
Author(s):  
Yaroslava Zhukova ◽  
◽  
Pylyp Petrov ◽  
Olena Boloba ◽  
Tetiana Ohrimenko ◽  
...  
Keyword(s):  
Starter Culture ◽  
Fat Content ◽  
Chemical Parameters ◽  
Physical And Chemical Parameters ◽  
Physical And Chemical

Life in Glacial and Alpine Rivers in Central Iceland in Relation to Physical and Chemical Parameters

2000 ◽  
Vol 31 (4-5) ◽  
pp. 411-422 ◽  
Author(s):  
Gísli Már Gíslason ◽  
Jón S. Ólafsson ◽  
Hákon Adalsteinsson
Keyword(s):  
Chemical Properties ◽  
Chemical Parameters ◽  
Invertebrate Fauna ◽  
Glacial Meltwater ◽  
Biological Communities ◽  
Relative Contribution ◽  
Glacial River ◽  
Alpine Rivers ◽  
Physical And Chemical ◽  
And Chemical Properties

The characteristics of stream and river ecosystems in arctic and alpine areas are determined mainly by the relative contribution of glacial meltwater, snowmelt, rainfall and groundwater. Each source generates a particular seasonal hydrological signature, affecting physical and chemical properties, and hence biological communities. The relative contribution of each source is sensitive to climate change. The study was concentrated on the glacial River W-Jökulsá and some non-glacial rivers in the central highlands of Iceland. The water in the glacial river was entirely glacial meltwater at the glacier margin, but the glacial contribution was about 20% 40 km downstream. However, its tributaries and non-glacial reference rivers were mainly springfed. The invertebrate fauna was confined to Chironomidae of the genus Diamesa close to the glacier, but other taxa (species and groups of species) occupied the river further downstream, where their diversity was close to that found in the reference rivers.

scholarly journals Ultrafiltration Process in Disinfection and Advanced Treatment of Tertiary Treated Wastewater

Membranes ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 221
Author(s):  
Rafał Tytus Bray ◽  
Katarzyna Jankowska ◽  
Eliza Kulbat ◽  
Aneta Łuczkiewicz ◽  
Aleksandra Sokołowska
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Microscopic Analysis ◽  
Fecal Coliforms ◽  
Treated Wastewater ◽  
Chemical Parameters ◽  
Virus Particles ◽  
E Coli ◽  
The One ◽  
Physical And Chemical

The paper presents the results of research on the use of ultrafiltration, using membranes of 200 and 400 kDa separation, for disinfection of municipal treated wastewater. The research was conducted on a fractional technical scale using real municipal treated wastewater from two large wastewater treatment plants treating most of the wastewater over the one-million polycentric Gdańsk agglomeration (1.2 million inhabitants). UF 200 kDa and UF 400 kDa processes enabled further improvement of the physical and chemical parameters of treated wastewater. Total phosphorus (to below 0.2 mg/L–UF 200 kDa, 0.13 mg/L–UF 400 kDa) and turbid substances (to below 0.2 mg/L, both membranes) were removed in the highest degree. COD was reduced efficiently (to below 25.6 mgO2/L–UF 200 kDa, 26.8 mgO2/L–UF 400 kDa), while total nitrogen was removed to a small extent (to 7.12 mg/L–UF 200 kDa and 5.7 mg/L–UF 400 kDa. Based on the reduction of indicator bacteria; fecal coliforms including E. coli (FC) and fecal enterococci (FE) it was found that the ultrafiltration is an effective method of disinfection. Not much indicator bacterial were observed in the permeate after processes (UF 200 kDa; FC—5 CFU/L; FE—1 CFU/L and UF 400 kDa; FC—70 CFU/L; FE—10 CFU/L. However, microscopic analysis of prokaryotic cells and virus particles showed their presence after the application of both membrane types; TCN 3.0 × 102 cells/mL–UF 200 kDa, 5.0 × 103 cells/mL–UF 400 kDa, VP 1.0 × 105/mL. The presence of potentially pathogenic, highly infectious virus particles means that ultrafiltration cannot be considered a sufficient disinfection method for treated wastewater diverted for reuse or discharged from high load wastewater treatment plants to recreational areas. For full microbiological safety it would be advisable to apply an additional disinfection method (e.g., ozonation).

scholarly journals Biocatalytic Transformation of 5-Hydroxymethylfurfural into 2,5-di(hydroxymethyl)furan by a Newly Isolated Fusarium striatum Strain

Catalysts ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 216
Author(s):  
Alberto Millán ◽  
Núria Sala ◽  
Mercè Torres ◽  
Ramon Canela-Garayoa
Keyword(s):  
Fusarium Species ◽  
Inoculum Size ◽  
High Recovery ◽  
23 Factorial Design ◽  
Organic Solvent Extraction ◽  
Working Volume ◽  
The Media ◽  
Substrate Feeding ◽  
High Concentrations ◽  
Reaction Media

The compound 2,5-di(hydroxymethyl)furan (DHMF) is a high-value chemical block that can be synthesized from 5-hydroxymethylfurfural (HMF), a platform chemical that results from the dehydration of biomass-derived carbohydrates. In this work, the HMF biotransformation capability of different Fusarium species was evaluated, and F. striatum was selected to produce DHMF. The effects of the inoculum size, glucose concentration and pH of the media over DHMF production were evaluated by a 23 factorial design. A substrate feeding approach was found suitable to overcome the toxicity effect of HMF towards the cells when added at high concentrations (>75 mM). The process was successfully scaled-up at bioreactor scale (1.3 L working volume) with excellent DHMF production yields (95%) and selectivity (98%). DHMF was purified from the reaction media with high recovery and purity by organic solvent extraction with ethyl acetate.

scholarly journals Efficient Design of Energy Disaggregation Model with BERT-NILM Trained by AdaX Optimization Method for Smart Grid

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4649
Author(s):  
İsmail Hakkı ÇAVDAR ◽  
Vahit FERYAD
Keyword(s):  
Smart Grids ◽  
Energy Demand ◽  
Optimization Technique ◽  
Cost Effective ◽  
Optimization Method ◽  
Long Term Memory ◽  
Successful Implementation ◽  
Efficient Design ◽  
Energy Disaggregation ◽  
Load Monitoring

One of the basic conditions for the successful implementation of energy demand-side management (EDM) in smart grids is the monitoring of different loads with an electrical load monitoring system. Energy and sustainability concerns present a multitude of issues that can be addressed using approaches of data mining and machine learning. However, resolving such problems due to the lack of publicly available datasets is cumbersome. In this study, we first designed an efficient energy disaggregation (ED) model and evaluated it on the basis of publicly available benchmark data from the Residential Energy Disaggregation Dataset (REDD), and then we aimed to advance ED research in smart grids using the Turkey Electrical Appliances Dataset (TEAD) containing household electricity usage data. In addition, the TEAD was evaluated using the proposed ED model tested with benchmark REDD data. The Internet of things (IoT) architecture with sensors and Node-Red software installations were established to collect data in the research. In the context of smart metering, a nonintrusive load monitoring (NILM) model was designed to classify household appliances according to TEAD data. A highly accurate supervised ED is introduced, which was designed to raise awareness to customers and generate feedback by demand without the need for smart sensors. It is also cost-effective, maintainable, and easy to install, it does not require much space, and it can be trained to monitor multiple devices. We propose an efficient BERT-NILM tuned by new adaptive gradient descent with exponential long-term memory (Adax), using a deep learning (DL) architecture based on bidirectional encoder representations from transformers (BERT). In this paper, an improved training function was designed specifically for tuning of NILM neural networks. We adapted the Adax optimization technique to the ED field and learned the sequence-to-sequence patterns. With the updated training function, BERT-NILM outperformed state-of-the-art adaptive moment estimation (Adam) optimization across various metrics on REDD datasets; lastly, we evaluated the TEAD dataset using BERT-NILM training.

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