scholarly journals Formulation and optimization of synthetic polymer based herbal emulgel for anti-microbial activity

2021 ◽  
pp. 37-42
Author(s):  
Namrata Patel ◽  
Nitish Kumar ◽  
Arpita Singh ◽  
Amresh Gupta
Keyword(s):  
Carica Papaya ◽  
Soxhlet Extraction ◽  
Extraction Process ◽  
Topical Formulation ◽  
Qualitative And Quantitative ◽  
Active Moiety ◽  
Different Types ◽  
Evaluation Parameters ◽  
Organoleptic Parameters ◽  
Basic Evaluation

The aim of the present research was to develop and evaluate the anti-microbial emulgel by using three different types of synthetic polymers. The active moiety selected for the formulation was the seeds of Carica papaya fruit. The formulation was developed by performing the extraction process; Soxhlet extraction with ethanol and water. The seeds of Carica papaya are reported to have anti-microbial properties. The skin-friendly i.e., the topical formulation was selected for development. Emulgel was prepared by incorporating different polymers and then evaluating each of them for best results. Basic evaluation parameters such as organoleptic parameters, viscosity, consistency, pH, homogeneity have been done, which demonstrate the results as per the reference and standard articles. Along with that, qualitative and quantitative tests of Carica seeds have also been performed, which indicates that the selected plant material is safe for usage. Finally, the most imp test, the anti-microbial test has been performed for determining the efficacy of prepared emulgel. Hence, it can be concluded that the prepared emulgel is safe and best for topical use as an anti-microbial. 

Evaluation of Resistant Starch Quality from Different Types of Banana in Batter Coating Formulation to Reduce Oil Absorption in Fried Food

2019 ◽  
Vol 2 (2) ◽  
pp. 115-120
Author(s):  
Karissha Fritzi Della ◽  
Mutiara Pratiwi ◽  
Purwa Tri Cahyana ◽  
Maria DPT Gunawan-Puteri
Keyword(s):  
Resistant Starch ◽  
Extraction Process ◽  
Fat Content ◽  
Water Retention Capacity ◽  
Oil Absorption ◽  
Retention Capacity ◽  
Fried Food ◽  
Musa Paradisiaca ◽  
Different Types ◽  
Coating Formulation

Fried food is convenient for many people due to its pleasant texture and taste. On the other hand, it comes with the risk of high oil absorption which might lead to certain health problems. Resistant starch (RS) has been known to have a functionality of reducing oil absorption. Three different types of banana: Kepok (Musa paradisiaca formatypica), Raja Bulu (Musa paradisiaca L.) and Ambon (Musa paradisiaca L. var sapientum) were evaluated on its performance when utilized as source of resistant starch especially on their application in reducing oil absorption in fried food. Tempeh was used as the food model. Banana starch (RS2) was isolated through water alkaline extraction process, continued with modification process through three repeated cycles of autoclaving-cooling process to obtain the RS3. RS3 was added into the batter coating formulation at three substitution ratios (10%, 30% and 50%) and then used to coat tempeh before frying. Evaluation of resistant starch in batter and battered productwas conducted on the following parameters: fat content, water retention capacity (WRC), coating pick up and sensory analysis. The result of this study revealed that Raja Bulu showed the most effective result on reducing oil absorption in the food tested. In the three bananas used, the ratio of 50% performed best in coating pick up (highest), WRC (highest) and fat content(lowest) parameters, but not significantly different with the 30% ratio. In terms of sensory acceptance, using Raja Bulu as the selected banana type, 30% of substitution ratio was significantly more preferable by the panelists in crispness, oiliness, and overall acceptance attributes compared to control and other substitution ratios.

DIRECTIONS OF IMPROVEMENT OF RISK MANAGEMENT SYSTEM IN THE FIELD OF LOGISTICS ACTIVITIES

2017 ◽  
Author(s):  
Elena Lytvynenko ◽  
◽  
Taisiya Kozlova ◽  
Keyword(s):  
Risk Management ◽  
Practical Experience ◽  
Logistics System ◽  
Systematic Analysis ◽  
Qualitative And Quantitative ◽  
Different Types ◽  
Rational Management ◽  
Enterprise Logistics ◽  
Risk Acceptability ◽  
Logistics Activity

The changeable and unpredictable development of the enterprises’ external environment is one of the appearance causes of various types of business activities' risks, including logistics. The purpose of this article is to develop recommendations on improving the risk management of enterprises’ logistics activities in the context of instability. Achieving this goal requires consideration of the main stages of this process regarding the logistics activities' risks, providing advices on improving the process of risk management of logistics orientation. The article explores the process of analyzing the logistics activities' risks of the enterprise. Proceeding from the theoretical provisions of management and summarizing the practical experience of research in the field of systematic analysis of the enterprises' logistics activities risks, there are traced the organization's peculiarities of such analysis, and the main directions of its further improvement are proposed. All actions in the article, which are related to the analysis of the risk of enterprise logistics activity, are proposed to carry out in a certain sequence in the article. This sequence is given in the form of a structural scheme of systematic analysis of the risks of the enterprise logistics activities. Based on the objectivity of the existence of logistics activities' risks and the need to ensure the rational management of them, the algorithm of the risk management in the enterprise logistics system covers the stages of risks' identification, their qualitative and quantitative assessment, diagnostics, assessment of risk acceptability and application of neutralization measures to unacceptable logistical risks. It is concluded that the logistics activities risks combine different types of risks of all components and elements both in the process of changing material, financial and information flows, as well as in the process of managing the risks arising in the logistics system

Invitro Membrane Stabilizing Potentials Of Fractionates Of Ethanolic Extract of Carica Papaya Leaf

2021 ◽  
Vol 12 (4) ◽  
pp. 2335-2341
Author(s):  
Ojongbede Onose ◽  
Naiho Alexender Obidike ◽  
Nwogueze Bartholomew Chukwuebuka ◽  
Ofulue Ofioritse Ogheneyoma ◽  
Daubry Tarela Melish Elias ◽  
...  
Keyword(s):  
Extraction Method ◽  
Carica Papaya ◽  
Ethanolic Extract ◽  
Osmotic Fragility ◽  
Soxhlet Extraction ◽  
Reversal Rate ◽  
Negative Effect ◽  
Negative Controls ◽  
Dose Dependent ◽  
Baptist Hospital

Invitro membrane-stabilizing potentials of fractionates of ethanolic extract of Carica Papaya leaf was investigated in this study. The soxhlet extraction method was used to extract the plant, fractionated with 6 different solvents to give 6 different fractions (hexane, ethyl acetate, chloroform, butanol, methanol benzene). Hbss red blood cells samples were obtained from non-crises state sickle cell patients from Eku Baptist hospital Abraka Delta State, Nigeria. These tests involved the use of positive (p-hydroxy benzoic acid 5ug/ml) and negative controls (normal saline) for membrane stability experiments. Hbss blood was treated with 2mg/ml to 10mg/ml in seven groups with leaf fractionates. Data was analyzed using ANOVA test. The results shows that osmotic fragility was reduced by the introduction of the leaf fractionate, with the highest rate of reduction noticed in the hexane 1 fractionate. PHBA reversal rate and osmotic fragility effect was normal at low doses, but as concentration increases, reversal rate and percentage reduction of sickling decreases. It was concluded that Carica papaya leaf extract fractions, just as its crude extracts, have as much osmotic fragility activities, and this is dose-dependent and has no negative effect on tested blood samples as compared with the treatments with PHBA.

scholarly journals CHARACTERISTICS OF FISH CRACKERS BASED ON TYPES OF FISH AND DIFFERENT TYPES OF STARCH

2018 ◽  
Vol 5 (2) ◽  
pp. 102
Author(s):  
Dede Zaenal Arif
Keyword(s):  
Economic Value ◽  
Free Variable ◽  
Physical Analysis ◽  
Second Stage ◽  
Sample Composition ◽  
Different Types ◽  
Development Levels ◽  
Tapioca Flour ◽  
Two Stages ◽  
Organoleptic Parameters

The purpose of this research is to produce fish crackers from different types of fish, namely catfish and patin fish as well as different types of starch and know the characteristics of a good fish crackers. The benefit that can be expected from this research was to utilize catfish and patin fish abundant potency and add economic value. The method of this research was divided into two stages, namely the first stage is the stage which determines the range of the comparison with the fish flour, determine the type of fish and determine the type of flour used by using the hedonik method of organoleptic parameters. On the second stage has a purpose and that is to analyze chemical and physical fish crackers by comparison. The data were analyzed using the method of experiment results simple linear variable (x) increase in comparison of fish and flour (part). The free variable (y) consists of the response of the color, flavor, aroma, texture, volume and the development levels of crispness. The type of fish and the type of starch correlated against all response organoleptic, except the catfish and tapioca flour was not correlated against sense, catfish and cornmeal were not correlated against the texture of the fish, and catfish and sago flour not correlated against scent. The highest correlation is indicated by the sample composition of the cornmeal and catfish fish total value index by 17 of the total value of the correlation coefficient in classification. The sample was selected based on organoleptic level consumer favorite is with the composition of samples catfish and tapioca flour with a 1:1 comparison (111). Based on the results of the chemical analysis of protein obtained 24,38%, fat content of 1.6%, levels of starch of 44.69% and water content of 5.5%. Physical analysis of the parameter and the mobilising of the volume development of IE of 146.43% and the level of crispness that is of 0.56 mm/s/50gram.  

scholarly journals Effective Utilization of Pineapple Waste, Evaluation of Ferulic Acid, Micro Nutrients and Antioxidant Property

2020 ◽  
Vol 2 (1) ◽  
pp. 30
Keyword(s):  
Antioxidant Activity ◽  
Ferulic Acid ◽  
High Performance ◽  
Soxhlet Extraction ◽  
Antioxidant Property ◽  
Extraction Process ◽  
Fruit Peel ◽  
Manganese Zinc ◽  
Pineapple Peel ◽  
Phosphorus Iron

India is the second-largest producer of fruit and vegetable producers. Usually, after fruit intake, fruit peel is left as waste. The main bioactive components of pineapple are phenolic compounds, β-carotene, ascorbic acid, and flavonoids. Ferulic acid is a phenolic acid widely used in the nutritional and cosmetic fields. In this study, pineapple peel was dried, powdered, and vitamin content (A, B, B1, B2, B6, B12 & C), calcium, potassium, phosphorus, iron, manganese, zinc and food fiber were analyzed. Moreover, in the present study, traditional and non-conventional processes such as Soxhlet extraction, supreme fluid extraction, and normal solvent extraction was used for the extraction of ferulic acid, which is a precursor for vanillin synthesis. The quantification of ferulic acid was done by High performance fluid chromatographic (HPL C) method. After the above-mentioned extraction process overall phenolic and antioxidant activity were also evaluated and compared. The highest concentrations of ferulic acid (0.7696g/100 g), phenolic compound (2.365mg / GAE), antioxidant activity (45 percent), and yield (90.5 %) were obtained for Soxhlet extraction using methanol.

scholarly journals Characterization by TGA, SEM, and EDX of Polymeric Matrices Used as Cocaine Camouflages

2018 ◽  
Vol 12 (12) ◽  
pp. 119
Author(s):  
Carlos A. Díaz V ◽  
William F. Garzón M ◽  
Juan C. Higuita V ◽  
Elisabeth. Restrepo-Parra
Keyword(s):  
Surface Morphology ◽  
Thermo Gravimetric Analysis ◽  
Soxhlet Extraction ◽  
Structural Type ◽  
Extraction Process ◽  
Gravimetric Analysis ◽  
Before And After ◽  
The Matrix ◽  
Morphological Differences ◽  
Almost All

In this work, a study of samples that contained cocaine camouflaged inside unidentified polymers was performed. Samples were seized at the Dorado International airport in Colombia. Cocaine was adsorbed or occluded within the matrix. The objective of this research was to extract cocaine from the matrices using soxhlet extraction method. Thereafter matrices were analyzed to determine the surface morphology before and after the extraction. Several morphological differences were exhibited between samples including both adsorbed and occluded cocaine. Moreover, changes in the surface morphology were also observed before and after cocaine extraction. The chemical elemental composition of matrices was also studied using energy dispersive spectroscopy, observing that the alkaloid was totally removed in almost all samples after the extraction process. On the other hand, Thermo gravimetric analysis also allows comparing the results obtained for the samples with patterns of pure cocaine and other polymers as CMC, PVA and HEC, finding several similarities of structural type.

scholarly journals Influence of pressure and time on extraction process using supercritical CO2

2008 ◽  
Vol 44 (1) ◽  
pp. 125-131 ◽  
Author(s):  
V. Micic ◽  
Z. Lepojevic ◽  
B. Mandic ◽  
M. Jotanovic ◽  
G. Tadic ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Supercritical Co2 ◽  
Particle Diameter ◽  
Extraction Process ◽  
Salvia Officinalis ◽  
Quantitative Composition ◽  
Qualitative And Quantitative ◽  
Salvia Officinalis L ◽  
Carbon Dioxide Co2

The supercritical fluid extraction (SFE) by carbon dioxide (CO2) of Salvia officinalis L. was investigated. SFE by CO2 was performed at different pressure (80, 100, 150, 200 and 300 bar) and constant temperature of 40?C (all other extraction conditions, such are flow rate, particle diameter of Salvia officinalis, extraction time were kept constant. The GC-MS method was used for determination of qualitative and quantitative composition of obtained extracts and essential oils.

Managing Late Measurements in Data Warehouses

2008 ◽  
pp. 738-754
Author(s):  
Matteo Golfarelli ◽  
Stefano Rizzi
Keyword(s):  
Data Warehousing ◽  
Historical Analysis ◽  
Quantitative Comparison ◽  
Design Decisions ◽  
Alternative Design ◽  
Qualitative And Quantitative ◽  
Traditional Design ◽  
Different Types ◽  
Design Solutions ◽  
Valid Time

Though in most data warehousing applications no relevance is given to the time when events are recorded, some domains call for a different behavior. In particular, whenever late measurements of events take place, and particularly when the events registered are subject to further updates, the traditional design solutions fail in preserving accountability and query consistency. In this article, we discuss the alternative design solutions that can be adopted, in presence of late measurements, to support different types of queries that enable meaningful historical analysis. These solutions are based on the enforcement of the distinction between transaction time and valid time within the schema that represents the fact of interest. Besides, we provide a qualitative and quantitative comparison of the solutions proposed, aimed at enabling wellinformed design decisions.

SOMES: A REVIEW ON COMPOSITION, FORMULATION METHODS AND EVALUATIONS OF DIFFERENT TYPES OF “SOMES” DRUG DELIVERY SYSTEM

2020 ◽  
pp. 7-18
Author(s):  
KUSUMA PRIYA M. D. ◽  
VINOD KUMAR ◽  
DAMINI V. K. ◽  
ESWAR K. ◽  
KADIRI RAJESH REDDY ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Sustained Release ◽  
Surface Chemistry ◽  
Drug Delivery System ◽  
Delivery System ◽  
Different Types ◽  
Potent Drug ◽  
Evaluation Parameters ◽  
Selection Of

Many drugs are available in the market for several diseases, disorder or even for a condition, but it is difficult to select a suitable carrier to attain maximum bioavailability and potential for a potent drug. Attaining a controlled and sustained release of a drug is purely focused on the selection of a carrier (natural, synthetic and hybrid) like nanosomes. Nanosomes have become a prominent tool in the field of pharmacy. Nanosomes are small uniform structures which deliver the drug to the specific targeted site, which mainly depends upon the presence of ligands, shape, size and surface chemistry. Nanosomes are available in various types which include Niosomes, Liposomes, Electrosomes, Aquasomes, Transfersomes, Phytosomes, Enzymosomes, Ethosomes, Invasome and Sphingosomes. In general, all these nanosomes are quite similar in nature with minute differences in their vesicular characteristics and composition. This review traces various ‘somes’ composition and their role in the formulation, applications, advantages, disadvantages, common formulation procedures and evaluation parameters.

scholarly journals Bearing Fault Diagnosis Based on Improved Convolutional Deep Belief Network

2020 ◽  
Vol 10 (18) ◽  
pp. 6359 ◽  
Author(s):  
Shuangjie Liu ◽  
Jiaqi Xie ◽  
Changqing Shen ◽  
Xiaofeng Shang ◽  
Dong Wang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Diagnostic Accuracy ◽  
Vibration Signal ◽  
Deep Belief Network ◽  
Mechanical Equipment ◽  
Belief Network ◽  
Bearing Faults ◽  
Qualitative And Quantitative ◽  
Proposed Model ◽  
Different Types

Mechanical equipment fault detection is critical in industrial applications. Based on vibration signal processing and analysis, the traditional fault diagnosis method relies on rich professional knowledge and artificial experience. Achieving accurate feature extraction and fault diagnosis is difficult using such an approach. To learn the characteristics of features from data automatically, a deep learning method is used. A qualitative and quantitative method for rolling bearing faults diagnosis based on an improved convolutional deep belief network (CDBN) is proposed in this study. First, the original vibration signal is converted to the frequency signal with the fast Fourier transform to improve shallow inputs. Second, the Adam optimizer is introduced to accelerate model training and convergence speed. Finally, the model structure is optimized. A multi-layer feature fusion learning structure is put forward wherein the characterization capabilities of each layer can be fully used to improve the generalization ability of the model. In the experimental verification, a laboratory self-made bearing vibration signal dataset was used. The dataset included healthy bearings, nine single faults of different types and sizes, and three different types of composite fault signals. The results of load 0 kN and 1 kN both indicate that the proposed model has better diagnostic accuracy, with an average of 98.15% and 96.15%, compared with the traditional stacked autoencoder, artificial neural network, deep belief network, and standard CDBN. With improved diagnostic accuracy, the proposed model realizes reliable and effective qualitative and quantitative diagnosis of bearing faults.

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