Standardization and quality profile of sattu mix

AbstractBig Data is an essential research area for governments, institutions, and private agencies to support their analytics decisions. Big Data refers to all about data, how it is collected, processed, and analyzed to generate value-added data-driven insights and decisions. Degradation in Data Quality may result in unpredictable consequences. In this case, confidence and worthiness in the data and its source are lost. In the Big Data context, data characteristics, such as volume, multi-heterogeneous data sources, and fast data generation, increase the risk of quality degradation and require efficient mechanisms to check data worthiness. However, ensuring Big Data Quality (BDQ) is a very costly and time-consuming process, since excessive computing resources are required. Maintaining Quality through the Big Data lifecycle requires quality profiling and verification before its processing decision. A BDQ Management Framework for enhancing the pre-processing activities while strengthening data control is proposed. The proposed framework uses a new concept called Big Data Quality Profile. This concept captures quality outline, requirements, attributes, dimensions, scores, and rules. Using Big Data profiling and sampling components of the framework, a faster and efficient data quality estimation is initiated before and after an intermediate pre-processing phase. The exploratory profiling component of the framework plays an initial role in quality profiling; it uses a set of predefined quality metrics to evaluate important data quality dimensions. It generates quality rules by applying various pre-processing activities and their related functions. These rules mainly aim at the Data Quality Profile and result in quality scores for the selected quality attributes. The framework implementation and dataflow management across various quality management processes have been discussed, further some ongoing work on framework evaluation and deployment to support quality evaluation decisions conclude the paper.

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Textural quality profile of goat milk fortified Paneer

THE ASIAN JOURNAL OF ANIMAL SCIENCE ◽

10.15740/has/tajas/9.2/189-192 ◽

2014 ◽

Vol 9 (2) ◽

pp. 189-192 ◽

Cited By ~ 1

Author(s):

A.L. SUPEKAR ◽

S.G. NARWADE ◽

R.P. KADAM ◽

SYED IMRAN HASHMI

Keyword(s):

Goat Milk ◽

Textural Quality ◽

Quality Profile

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Physical and Chemical Quality Profile of Lamb Meat Which Was Swamp Buffalo’s Rumen Liquid Based Fodder-Fed

Journal of Agricultural Science ◽

10.5539/jas.v11n5p547 ◽

2019 ◽

Vol 11 (5) ◽

pp. 547

Author(s):

Tintin Rostini ◽

Danang Biyatmoko ◽

Irwan Zakir ◽

Arief Hidayatullah

Keyword(s):

Chemical Quality ◽

Lamb Meat ◽

Test Study ◽

Randomized Design ◽

Quality Profile ◽

Study Results ◽

Swamp Buffalo ◽

Physical And Chemical Quality ◽

Physical And Chemical

This study aims to know the effect of swamp buffalo’s rumen liquid based fodder toward physical and chemical quality of lamb meat. This study used 12 male Kacang goats at age of 10-12 months with weight around 12±1.2 kg. Method used in this study was Completely Randomized Design with 4 treatments repeated for 3 times until it reached 12 units of trials. The treatments consist of: (PS), regular fodder given by breeder (PFCK1) 25% rumen liquid based fodder + 75% PS. (PFCK2), 50% rumen liquid based fodder + 50% PS. (PFCK3) 75% rumen liquid based fodder + 25% PS. Data was statistically analyzed by using variance analysis. Difference between treatments was tested by using Duncan’s New Multiple Range Test. Study results showed that the usage of rumen liquid based fodder of 75% increased protein and lamb fat content (P < 0.05), the lamb meat was physically more tender (P < 0.05). The conclusion is swamp buffalo’s rumen liquid could be used to enhance lamb meat quality.

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Study of the Quality Parameters and the Antioxidant Capacity for the FTIR-Chemometric Differentiation of Pistacia Vera Oils

Molecules ◽

10.3390/molecules25071614 ◽

2020 ◽

Vol 25 (7) ◽

pp. 1614

Author(s):

Lydia Valasi ◽

Dimitra Arvanitaki ◽

Angeliki Mitropoulou ◽

Maria Georgiadou ◽

Christos S. Pappas

Keyword(s):

Multivariate Analysis ◽

Antioxidant Capacity ◽

Tocopherol Content ◽

Quality Parameters ◽

Free Acidity ◽

Environment Friendly ◽

Scavenging Capacity ◽

Quality Profile ◽

Total Antioxidant ◽

Pistachio Oil

The aim of this work was to characterize the pistachio oil of the Greek variety, “Aegina”, evaluate its various quality indices, and investigate the potential use of FTIR as a tool to discriminate different oil qualities. For this purpose, the antioxidant capacity, the tocopherol content and the oxidation and degradation of fatty acids, as described by k, Δk, R-values, and free acidity were evaluated using 45 samples from eight different areas of production and two subsequent years of harvesting. The antioxidant capacity was estimated using 2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonic acid diammonium salt (ABTS) and 2,2-diphenyl-1-(2,4,6-trinitrophenyl)hydrazine (DPPH) assays, and the tocopherol content was quantified through HPLC analysis. FTIR spectra were recorded for all samples and multivariate analysis was applied. The results showed significant differences between the oil samples of different harvesting years, which were successfully discriminated by a representative FTIR spectral region based on R-value, total antioxidant capacity, and scavenging capacity, through ABTS. A similar approach could not be confirmed for the other quality parameters, such as the free acidity and the tocopherol content. This research highlighted the possibility of developing a simple, rapid, economic, and environment friendly method for the discrimination of pistachio oils according to their quality profile, through FTIR spectroscopy and multivariate analysis.

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Quality Profile-Based Cloud Service Selection for Fulfilling Big Data Processing Requirements

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2) ◽

10.1109/sc2.2017.30 ◽

2017 ◽

Author(s):

Mohamed Adel Serhani ◽

Hadeel T. El Kassabi ◽

Ikbal Taleb

Keyword(s):

Big Data ◽

Data Processing ◽

Service Selection ◽

Cloud Service ◽

Big Data Processing ◽

Quality Profile ◽

Selection For

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Paramylon Treatment Improves Quality Profile and Drought Resistance in Solanum lycopersicum L. cv. Micro-Tom

Agronomy ◽

10.3390/agronomy9070394 ◽

2019 ◽

Vol 9 (7) ◽

pp. 394 ◽

Cited By ~ 5

Author(s):

Laura Barsanti ◽

Primo Coltelli ◽

Paolo Gualtieri

Keyword(s):

Drought Stress ◽

Solanum Lycopersicum ◽

Drought Resistance ◽

Water Scarcity ◽

Fold Increase ◽

Quality Parameters ◽

Soluble Carbohydrates ◽

Antioxidant Compounds ◽

Solanum Lycopersicum L ◽

Quality Profile

Tomatoes, the most cultivated vegetables worldwide, require large amounts of water and are adversely affected by water stress. Solanum lycopersicum L., cv. Micro-Tom was used to assess the effects of β-(1,3)-glucan (paramylon) purified from the microalga Euglena gracilis on drought resistance and fruit quality profile. Plants were grown in an aeroponic system under three cultivation conditions: optimal water regimen, water scarcity regimen, and water scarcity regimen coupled with a root treatment with paramylon. Eco–physiological, physicochemical and quality parameters were monitored and compared throughout the lifecycle of the plants. Drought stress caused only a transient effect on the eco–physiological parameters of paramylon-treated plants, whereas physicochemical and biochemical parameters underwent significant variations. In particular, the fruits of paramylon-treated plants reached the first ripening stage two weeks before untreated plants grown under the optimal water regime, while the fruits of stressed untreated plants did not ripe beyond category II. Moreover, antioxidant compounds (carotenoids, phenolic acid, and vitamins) of fruits from treated plants underwent a two-fold increase with respect to untreated plants, as well as soluble carbohydrates (glucose, fructose, and sucrose). These results show that paramylon increases plant resistance to drought and highly improves the quality profile of the fruits with respect to untreated plants grown under drought stress.

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