Effect of Different Packaging Atmosphere on Microbiological Shelf Life, Physicochemical Attributes, and Sensory Characteristics of Chilled Poultry Fillets

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.

Effects of divalent alkaline earth ions on the magnetic and transport features of La0.65A0.35Mn0.95Fe0.05O3 (A = Ca, Sr, Pb, Ba) compounds

Wiqar Hussain Shah,Kashif Safeen,Gul Rehman 한국물리학회 2012 Current Applied Physics Vol.12 No.3

We have studied the magnetic and transport properties of Fe doped La0.65A0.35Mn0.95Fe0.05O3 (A ¼ Ca, Sr,Pb, Ba) manganites. All the compositions show ferromagnetic/metal to paramagnetic/insulator transition (TC) except the Pb doped sample which is insulating and ferromagnetic (FM) in the entire temperature range. The magnetization and TC are decreased by decreasing the cation size on La site. The transition temperature and magnetic moment at 77 K is a maximum for Sr doped sample and is decreasing if we increase or decrease the cation size from Sr size. The maximum value of TC and magnetic moment for Sr based sample is most likely due to the closer ionic sizes of La and Sr as compared to the other dopants (Ca, Pb, and Ba). We observed a spin freezing type effect in the Pb doped sample below 120 K in resistivity, ac susceptibility and in magnetization. This suggests that the AFM interactions introduced by the Fe are most effective in the Pb doped composition leading to increased competition between the FM and AFM interactions. This FM and AFM interaction generates some degree of frustration leading to the appearance of spin glass like phase whose typical magnetic behavior is studied for small ion when the metallic like behavior is lost.

Design of 1 kW high temperature PEM fuel cell system and performance analysis under different operating conditions

Nazar Kashif,Jaffery Mujtaba Hussain,Shakir Imran,Nazar Atif,Raza Rizwan 한국물리학회 2022 Current Applied Physics Vol.40 No.-

This paper demonstrates the mathematical and MATLAB simulation model of 1 KW (28.8Vdc) PEM fuel cell system with boost convertor and RL load to analyze the yield behavior in accordance to control the hydrogen fuel utilization. Two cases have been designed to evaluate the performance of this model. In the first case, fuel cell parameters are examined with and without a fuel regulator that controls the hydrogen fuel rate while in the second case, the operating temperature of a fuel cell stack is varied to observe the impact on the system. PEM fuel cell based power systems can become an alternate choice in the transportation sector to overcome contamination concerns, especially in South Asia where the environmental issues are at peak. The purpose of this work is to introduce such environmentally friendly system of transportation in South Asia, especially in Pakistan and this stack model can be used as a prototype for developing FC based motorbike as currently no practical models have been tested in this region. Therefore, this model has unique advantages over the existing in the literature.

Accelerated Mine Blast Algorithm for ANFIS Training for Solving Classification Problems

Mohd Najib Mohd Salleh,Kashif Hussain 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.6

Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. It has outperformed Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and their variants when solving various engineering optimization problems. MBA has been improved by IMBA, which is modified in this paper to accelerate its convergence speed furthermore. The proposed variant, so called Accelerated MBA (AMBA), replaces the previous best solution with the available candidate solution in IMBA. ANFIS accuracy depends on the parameters it is trained with. Keeping in view the drawbacks of gradients based learning of ANFIS using gradient descent and least square methods in two-pass learning algorithm, many have trained ANFIS using metaheuristic algorithms. In this paper, for getting high performance, the parameters of ANFIS are trained by the proposed AMBA. The experimental results of real-world benchmark problems reveal that AMBA can be used as an efficient optimization technique. Moreover, the results also indicate that AMBA converges earlier than its other counterparts MBA and IMBA.

Ultra-trace level voltammetric sensor for MB in human plasma based on a carboxylic derivative of Calix[4]resorcinarene capped silver nanoparticles

Abdul Rehman Umar,Kashif Hussain,Zara Aslam,Muhammad Anwar Ul Haq,Haji Muhammadb,Sirajuddin,Muhammad Raza Shah 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.107 No.-

This work was initiated by synthesizing a carboxylic derivative of Calix[4]resorcinarene through a threestep protocol confirmed by proton nuclear magnetic resonance (1H NMR) spectroscopy and Electrosprayionization mass spectroscopy (ESI-MS). As synthesized derivative, was used as reducing and cappingmaterial for the fabrication of small and stable silver nanoparticles (AgNPs) in aqueous medium underthe combined influence of dilute alkali and heat at 90 C. These nanoparticles were referred as KM20-AgNPs. Techniques used for characterization of AgNPs include UV–Visible (UV–Vis) spectroscopy,Fourier transform infra-red (FTIR) spectroscopy, atomic force microscopy (AFM), dynamic light scattering(DLS) and zeta potential analyzer (ZPA). The finally produced KM20-AgNPs were recognized as highlysensitive and extremely selective voltammetric sensor for low level detection of methylene blue drugin the linear working range of 1–30 nM with limit of detection (LOD) and limit of quantification (LOQ)as 0.16 nM and 0.53 nM respectively. The developed sensor was successfully used for sensing of MB inhuman blood plasma.

A Review of Training Methods of ANFIS for Applications in Business and Economics

Mohd Najib Mohd Salleh,Kashif Hussain 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.7

Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics. Despite of attracting researchers in recent years and outperforming other fuzzy systems, Adaptive Neuro-Fuzzy Inference System (ANFIS) still needs effective parameter training and rule-base optimization methods to perform efficiently when the number of inputs increase. Moreover, the standard gradient based learning via two pass learning algorithm is prone slow and prone to get stuck in local minima. Therefore many researchers have trained ANFIS parameters using metaheuristic algorithms however very few have considered optimizing the ANFIS rule-base. Mostly Particle Swarm Optimization (PSO) and its variants have been applied for training approaches used. Other than that, Genetic Algorithm (GA), Firefly Algorithm (FA), Ant Bee Colony (ABC) optimization methods have been employed for effective training of ANFIS networks when solving various problems in the field of business and finance.

In-vitro evaluation of antimicrobial, antioxidant, alpha-amylase inhibition and cytotoxicity properties of Cannabis sativa

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.

The Role of Training and Absorptive Capacity in Mediating Human Capital Dimensions and Organizational Performance: Evidence from Pakistan

Sana Arz BHUTTO,Yasir JAMAL,Asim RAFIQ,Kashif MEHMOOD,Munir HUSSAIN,Amjad ALI 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.12

This study aims to examine the role of training and absorptive capacity as a mediator to examine the impact of human capital dimensions on the performance of an organization. This study employs the quantitative approach for analysis. A sample of 208 respondents was collected from the textile factories based in Karachi and Faisalabad. Data was analyzed using the PLS-SEM technique. PLS-SEM algorithm was used to check the validity and reliability of the data. PLS-SEM bootstrapping was used for studying the impact. The results show that the skills have an insignificant impact on organizational performance. Education and skills have an insignificant indirect impact on the performance of an organization. The research findings show that the human capital dimensions are full and partially mediated via absorptive capacity and training. The findings revealed that if we implement one by one dimension of human capital then it will not cause any increase in the organization’s performance but if we implement all dimensions then it results in optimal performance. Thus, this study suggests adopting effective training techniques and creating absorptive capacity in an organization to increase the performance of an organization. The findings of this study significantly contribute to the existing body of knowledge.

Ultra-trace level colorimetric composite sensor based on novel DH-1,6-NAPY-8-CN-AgNPs for the detection of Clonazepam in aqueous and human plasma samples

Shujaat Ali,Abdul Rehman Umar,Kashif Hussain,Haji Muhammad,Muddasir Hanif,Mouna Hind Laiche,Sufian Rasheed,Kousar Yasmeen,Abdul Hameed,Muhammad Raza Shah 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.125 No.-

It’s crucial to develop cost-effective, rapid & reliable detection methods of specific analytes through sensorsuseful in the analytical and medicinal chemistry. We report a highly sensitive and selective colorimetricmethod for the detection of clonazepam by the new composite sensor DH-1,6-NAPY-8-CNAgNPscontaining 5-amino-7-(4-benzylpiperazin-1-yl)-2,4-bis(4-bromophenyl)-2-methyl-1,3-dihydro-1,6-naphthyridine-8-carbonitrile capped silver nanoparticles (AgNPs). The detection mechanism is basedon the H-bonding interactions between clonazepam and the sensor, that caused the aggregation of NPsthat initiated a sharp color change from yellow to red. The linear relationship between the adjacentabsorbance values (DA) vs. clonazepam concentration (range = 0.05–75 lM) showed a correlation coefficientof 0.9927. The limit of detection (LOD) was 3 nM, that is very significant achievement over theexisting reports. The proposed sensor is highly selective, with no interference from many other possibleinterfering substances. The sensor was successfully applied to the aqueous and human plasma samples,therefore DH-1,6-NAPY-8-CN-AgNPs demonstrated great potential for the on-site and real-time screeningof Clonazepam.

Facile and low-temperature synthesis approach to fabricate Sm0.5Sr0.5CoO3−δ cathode material for solid oxide fuel cell

AHMED SHERAZ,카즈미 와자하트 와히드,Hussain Amjad,Khan Muhammad Zubair,Bibi Saira,Saleem Mohsin,송락현,Sajid Zaman,Ullah Abid,Muhammad Kashif Khan 한국세라믹학회 2023 한국세라믹학회지 Vol.60 No.2

Herein, we report a facilely synthesized Sm0.5Sr0.5CoO3 (SSC) nano-catalyst as a cathode material for the solid oxide fuel cell (SOFC). The SSC nano-catalyst was synthesized by a sol–gel process using citric acid and metal nitrates and calcination was performed at a relatively low temperature of 1250 ℃. The crystallinity and morphology of the catalyst were observed by the X-ray diffraction and scanning electron microscope. The average particle size of the SSC powder was 100 nm after calcination at 1250 °C. The resulting SSC material was employed as a cathode for the SOFC. The SOFC cell with highly active SSC showed a peak power density of 900 mWcm−2 at 700 °C. The single cell with an SSC cathode showed excellent stability under the accelerated operating conditions of 0.5A/cm2 and 650 °C for 1250 min. The cell performance was enhanced during the initial hours of the long-term operation which is attributed to the cathode activation process and improved cathode/buffer layer interface contact. This work features a cost-effective, scalable, and reproducible method for the production of highly robust SSC cathode material for the SOFC under relatively low calcination temperatures.