Statistical evaluation of main extraction parameters in twenty plant extracts for obtaining their optimum total phenolic content and its relation to antioxidant and antibacterial activities

Kadir, Dler Hussein

doi:10.1002/fsn3.2288

Cited by 21 publications

(8 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, it should be remembered that the simplicity of this method may generate some errors resulting from the determination of non-polyphenol compounds. The results obtained as a result of this analysis show a high correlation between the antioxidant and biological activity, allowing for the possibility of characterizing the obtained extracts [39,40]. The content of active compounds and TPC are shown in Table 1.…”

Section: Analysis Of the Content Of Active Compoundsmentioning

confidence: 75%

Assisted Extraction with Cyclodextrins as a Way of Improving the Antidiabetic Activity of Actinidia Leaves

et al. 2022

View full text Add to dashboard Cite

Five varieties of Actinidia leaves (Geneva, Jumbo, Ken’s Red, Kijivska Hibridna, and Sentyabraskaya) were analyzed. The profiles of active compounds were determined, namely quercetin, rutin, epicatechin, chlorogenic acid, and kaempferol, in the raw material. Suspecting that the raw material might prove important in the treatment of diabetes, the authors assessed the antioxidant activity and the ability to inhibit enzymes responsible for the development of diabetes (α-glucosidase and α-amylase). As a result of the conducted analysis, the Ken’s Red variety was indicated as having the highest biological activity (DPPH IC50 = 0.332 ± 0.048; FRAP IC0.5 = 0.064 ± 0.005; α-glucosidase inhibition IC50 = 0.098 ± 0.007; α-amylase inhibition IC50 = 0.083 ± 0.004). In order to increase the efficiency of the extraction of active compounds from Ken’s Red variety leaves, cyclodextrins (α-CD, β-CD, and γ-CD) were used as extraction process enhancers. The obtained results showed a significant increase in the contents of extracted active compounds. In addition, the type of CD used enhanced the extraction of selected compounds (quercetin, kaempferol, rutin, chlorogenic acid, and epicatechin. This study shows that the application of cyclodextrin-based extraction significantly improved the leaf activity of the Ken’s Red variety (DPPH IC50 = 0.160 ± 0.019; FRAP IC0.5 = 0.008 ± 0.001; α-glucosidase inhibition IC50 = 0.040 ± 0.002; α-amylase inhibition IC50 = 0.012 ± 0.003).

show abstract

Section: Analysis Of the Content Of Active Compoundsmentioning

confidence: 75%

Assisted Extraction with Cyclodextrins as a Way of Improving the Antidiabetic Activity of Actinidia Leaves

et al. 2022

View full text Add to dashboard Cite

show abstract

“…But for data that requires more complex processing or unstructured data management, other methods may be more appropriate. 2) Routing: The process of sending data from a source node to a destination node involves sending the data from the node to the cluster head [42,43]. If the cluster head is not connected to the source, it forwards the data to another cluster head.…”

Section: B Suggested Methodsmentioning

confidence: 99%

Presenting a New Approach for Clustering Optimization in Wireless Sensor Networks using Fuzzy Cuckoo Search Algorithm

ZHOU,

2024

ijacsa

View full text Add to dashboard Cite

Because of the developments in this technology, wireless sensor networks are now among the most commonly used in the domains of agriculture, harsh environments, medical, and the military. Among the many problems with these networks is their limited lifespan. Much work has been done in the fields of sensor communication, routing, and data gathering to reduce energy usage and increase network life. Routing protocols and clustering algorithms are two techniques for reducing energy use. Selecting the cluster head is the most important stage in any clustering technique. The objectives of this article are to decrease total energy consumption, increase packet delivery rates, and lengthen the network's lifetime. In order to do this, the LEACH protocol uses cuckoo search instead of probability distribution during the cluster head selection step and fuzzy logic during the routing phase. A MATLAB environment was utilized to evaluate the proposed method with the LEACH algorithm under identical conditions. The results of the comparison show that the recommended approach does a better job of prolonging the network's lifetime than the LEACH protocol.

show abstract

“…The type of problem, how it was initially set up, and the strategy employed to find a solution all have a big impact on how long it takes to resolve. In terms of execution time and cost, coupled algorithms-which are produced by combining numerous meta-heuristic heuristic algorithms-are more efficient than other algorithms [12]. Through the use of reinforcement learning techniques, the fog system can automatically and dynamically adapt to changes in compute load and service requirements [13].…”

Section: Introductionmentioning

confidence: 99%

Improving Load Balance in Fog Nodes by Reinforcement Learning Algorithm

DING,

ZHANG

2024

IJACSA

View full text Add to dashboard Cite

Fog computing is a distributed computing concept that brings cloud services out to the network's edge. Real-time user queries and data streams are processed by cloud nodes. Tasks should be evenly divided among fog nodes in order to maximize speed and efficiency, optimize resource efficiency, and reaction time. Real-time user requests and data flow processing are done by cloud nodes. Nodes in a network must share responsibilities in a balanced manner in order to maximize speed and efficiency, resource efficiency, and reaction time, hence in this article, a novel approach is presented. When it comes to fog computing, load balancing essential suggested to be improved. According to the suggested algorithm, a task submitted to the fog node via a mobile device would be processed by the fog node using reinforcement learning before being passed on to another fog node. Neighbor or let the cloud handle it. According to the simulation findings, the suggested algorithm has achieved a reduced execution time than other compared approaches by properly allocating the work among the nodes. Consequently, the suggested technique has reduced the chance of incorrect job assignment by 24.02% and the response time to the user by 31.60% when compared to similar methods.

show abstract

Statistical evaluation of main extraction parameters in twenty plant extracts for obtaining their optimum total phenolic content and its relation to antioxidant and antibacterial activities

Cited by 21 publications

References 16 publications

Assisted Extraction with Cyclodextrins as a Way of Improving the Antidiabetic Activity of Actinidia Leaves

Assisted Extraction with Cyclodextrins as a Way of Improving the Antidiabetic Activity of Actinidia Leaves

Presenting a New Approach for Clustering Optimization in Wireless Sensor Networks using Fuzzy Cuckoo Search Algorithm

Improving Load Balance in Fog Nodes by Reinforcement Learning Algorithm

Contact Info

Product

Resources

About