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      • Nutritional and biochemical evaluation of sorghum supplemented sourdough flat bread

        Tariq Ismail,Saeed Akhtar,Muhammad Riaz,Orner Mukhtar Tarar,Amir Ismail 단국대학교 국제농업협력연구소 2012 단국대학교 국제농업협력연구소 학술대회 Vol.2012 No.1

        Wheat flour supplemented with 5, 10, 15, 20 and 25% sorghum flour and sourdough bread made thereof were evaluated for mineral contents, phytic acid, tannin, total phenols and in vitro protein digestibility. Effect of supplementation was assessed on nutritional quality of the sourdough flatbread. Analyses of the sorghum supplemented flours revealed a significant (p<0.05) increase in crude fat(%), crude fiber(%) and NFE (%)with a decreasing pattern in crude protein and ash contents. Sourdough fermentation appeared to improve mineral contents in bread since the concentration of iron, zinc and manganese were increased from 3.07-4.41, 0.87-0.95 and 2.48-2.56 mg/100 g, respectively. Phytic acid (%) and tannin (%) were reduced from 1.14 to 0.57, and 0.40 to 0.22, respectively in flatbread. Total phenols of composite flour decreased from 342 to 104 mg/100 g in sourdough flatbread. Similarly, in vitro protein digestibility was shown to increase from 74.81 to 81.14% apparently due to reduction in concentration of chelating agents by fermentation process. Conclusively, composite flour technology in combination with lactic acid fermentation was found quite successfully exploited to reduce anti-nutritional compounds, enhance availability of minerals and improve the digestibility of non-conventional cereal grains.

      • KCI등재

        Modeling and Forecasting Saudi Stock Market Volatility Using Wavelet Methods

        Tariq S. ALSHAMMARI,Mohd T. ISMAIL,Sadam AL-WADI,Mohammad H. SALEH,Jamil J. JABER 한국유통과학회 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.11

        This empirical research aims to modeling and improving the forecasting accuracy of the volatility pattern by employing the Saudi Arabia stock market (Tadawul)by studying daily closed price index data from October 2011 to December 2019 with a number of observations being 2048. In order to achieve significant results, this study employs many mathematical functions which are non-linear spectral model Maximum overlapping Discrete Wavelet Transform (MODWT) based on the best localized function (Bl14), autoregressive integrated moving average (ARIMA) model and generalized autoregressive conditional heteroskedasticity (GARCH) models. Therefore, the major findings of this study show that all the previous events during the mentioned period of time will be explained and a new forecasting model will be suggested by combining the best MODWT function (Bl14 function) and the fitted GARCH model. Therefore, the results show that the ability of MODWT in decomposition the stock market data, highlighting the significant events which have the most highly volatile data and improving the forecasting accuracy will be showed based on some mathematical criteria such as Mean Absolute Percentage Error (MAPE), Mean Absolute Scaled Error (MASE), Root Means Squared Error (RMSE), Akaike information criterion. These results will be implemented using MATLAB software and R- software.

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        Determination of Aflatoxin M1 and Heavy Metals in Infant Formula Milk Brands Available in Pakistani Markets

        Saeed Akhtar,Muhammad Arif Shahzad,Sang-ho Yoo,Amir Ismail,Aneela Hameed,Tariq Ismail,Muhammad Riaz 한국축산식품학회 2017 한국축산식품학회지 Vol.37 No.1

        Aflatoxin M1 (AFM1) after its bioconversion from aflatoxin B1 in animal liver becomes the part of milk while heavy metals get entry into milk and milk products during handling in the supply chain. Aflatoxin M1 and heavy metals being toxic compounds are needed to be monitored continuously to avoid any ailments among consumers of foods contaminated with such toxicants. Thirteen commercially available infant formula milk (IFM) brands available in Pakistani markets were analyzed for the quantitative determination of AFM1 and heavy metals through ELISA and atomic absorption spectrophotometer, respectively. AFM1 was found positive in 53.84% samples while 30.76% samples were found exceeding the maximum EU limit i.e. 0.025 μg/kg for AFM1 in IFM. Heavy metals lead (Pb) and cadmium (Cd) were found below the detection limits in any of the sample, whereas the concentrations of iron (Fe), zinc (Zn) and nickel (Ni) ranged between 45.40-97.10, 29.72-113.50 and 1, Zn and Ni in some of the tested IFM brands indicated that a diet completely based on these IFM brands might pose sever health implications in the most vulnerable community i.e., infants.

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