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- 저자 : ( Kashif Bilal ) (검색결과 3 건)
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Kashif Nauman,Muhammad Hayat Jaspal,Bilal Asghar,Adeel Manzoor,Kumayl Hassan Akhtar,Usman Ali,Sher Ali,Jamal Nasir,Muhammad Sohaib,Iftikhar Hussain Badar 한국축산식품학회 2022 한국축산식품학회지 Vol.42 No.1
This trial was conducted to evaluate the effect of overwrap, vacuum, and modified atmosphere packaging (MAP) on poultry breast fillets' microbiological, biochemical shelf life and sensory attributes. The fillets were divided into 4 groups, and each of the treatments was replicated 3 times with 60 breast fillets. The first group was a control group with overwrap packaging; the second group was vacuum packed (VP); the third and fourth groups were MAP-1: 0% O2, 40% CO2, 60% N2, and MAP-2: 20% O2, 40% CO2, 40% N2. The microbiological and biochemical analyses were performed for the total viable count, coliform count, Pseudomonas count, Salmonella count, total volatile basic nitrogen (TVB-N), pH, cooking loss, color, lipid oxidation, tenderness, and sensory analysis. The data were analysed through two-way ANOVA by Minitab (Minitab 17.3.1). Meat treated with understudy MAP compositions and vacuum packaging reduced total viable count, Pseudomonas count, and total coliform count than control (p<0.05). TVB-N remained below the recommended limit throughout storage except aerobic packaging (p<0.05). Cooking loss (%) was lowered and showed non-significant results (p>0.05) between vacuum packaging and both MAP concentrations. The meat stored in MAP-2 was characterised by higher (p<0.05) visual scores. Whilst MAP-1 showed higher (p<0.05) L* values and overall acceptability. Sample packaged under aerobic packaging showed significant (p<0.05) results for b* and thiobarbituric acid reactive substances (TBARS). Meat stored in aerobic packaging showed higher (p<0.05) shear force values. The outcome of this trial may help to promote the application of understudy MAP compositions and rapid detection of microbes by biochemical analysis under local conditions.
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Shah Syed Bilal,Sartaj Lubna,Hussain Shahid,Ullah Nabi,Idrees Muhammad,Shaheen Asma,Javed Muhammad Sufyan,Aslam Muhammad Kashif 경희대학교 융합한의과학연구소 2020 Oriental Pharmacy and Experimental Medicine Vol.20 No.2
Cannabis sativa (C. sativa) is a widespread medicinal plant used for humans and cattles infectious diseases. The current study is carried out to assess phytochemical, antimicrobial, antioxidant, α-amylase inhibition and cytotoxic activity of the Cannabis sativa plant. An appropriate amount of phytochemicals like tannins, flavonoids, lycopene, and β-carotenes is found in C. sativa plant during the phytochemical screening. Among these phytochemicals of C. sativa plant, tannin shows outstanding activity. The plant extracts are assessed for antimicrobial activity against different seven bacterial strains. Notably, the stem part of C. sativa is found to exhibit higher antimicrobial potential than root and leaf. Among the extracts, the antioxidant assays (evaluated through % inhibition of linoleic acid peroxidation assessment) of n-hexane extract of leaf part was highest (80.70%) compared to the others. The plant also contains a potent α-amylase inhibitory potential, the root extract shows maximum inhibition of α-amylase. The cytotoxic effect [evaluated through hemolytic activity as (%) lysis of RBCs against human erythrocytes] of the plant extracts is found insignificant ranging from 1.97 to 5.88. The plant C. sativa keeps a significant amount of bioactive phenolic combinations accompanied by high antimicrobial and antioxidant activities.
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Diet-Right: A Smart Food Recommendation System
( Faisal Rehman ),( Osman Khalid ),( Nuhman Ul Haq ),( Atta Ur Rehman Khan ),( Kashif Bilal ),( Sajjad A. Madani ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.6
Inadequate and inappropriate intake of food is known to cause various health issues and diseases. Due to lack of concise information about healthy diet, people have to rely on medicines instead of taking preventive measures in food intake. Due to diversity in food components and large number of dietary sources, it is challenging to perform real-time selection of diet patterns that must fulfill one`s nutrition needs. Particularly, selection of proper diet is critical for patients suffering from various diseases. In this article, we highlight the issue of selection of proper diet that must fulfill patients` nutrition requirements. To address this issue, we present a cloud based food recommendation system, called Diet-Right, for dietary recommendations based on users` pathological reports. The model uses ant colony algorithm to generate optimal food list and recommends suitable foods according to the values of pathological reports. Diet-Right can play a vital role in controlling various diseases. The experimental results show that compared to single node execution, the convergence time of parallel execution on cloud is approximately 12 times lower. Moreover, adequate accuracy is attainable by increasing the number of ants.
ScienceON
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