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Mohammad Younis

Thesis Info

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Author

Talpur, Mohammad Younis

Program

PhD

Institute

University of Sindh

City

Jamshoro

Province

Sindh

Country

Pakistan

Thesis Completing Year

2013

Thesis Completion Status

Completed

Subject

Chemistry

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/1714

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676726669325

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Consequences of discontinuous chicken frying on some important parameters of soybean (SBO), sunflower (SFO) and canola oil (CLO) at constant temperature of 190 o C for 12 h were examined. The quality parameters such as fatty acid composition (FAC) with special emphasis on trans fatty acids (TFAs), free fatty acids (FFAs), iodine value (IV) and peroxide value (PV) of SBO, SFO and CLO were evaluated by taking out the oil samples from the fryer at an interval of 2 h. The total TFAs increased during frying of chicken in the range of 0.77- 1.67, 1.02- 2.62 and 1.29-3.14% in SFO, SBO and CLO. Other chemical parameters such as FFAs was 0.03-0.78, 0.05-0.49 and 0.19- 1.47%, PV was 1.51-3.04, 2.11-6.07 and 2.90- 8.02 meqO 2 /kg of oil increased whereas IV at 154.21- 140.69, 134.50 and 116.10-99.70 g/100g was decreased with respect to time of frying in SFO, SBO and CLO, respectively. The effect of commercial fish frying on the stability of FOs was examined at different intervals of time. The FO samples were collected into two phases; one before frying (unused) and other after frying (used; null replenishment, discarded). The main indicators of FOs determined during frying procedure were FAC, TFAs, FFA and PV. The FAC and TFAs in the FO samples were analyzed using the GC-MS. The TFAs were present in the range of 2.5-3.8, 5.6-14.8 and 7.3-20.8% in the fresh, null replenishment and discarded FO samples, respectively during the different frying periods. FFAs in fresh, NR, and discarded oils were 0.12%–0.24%, 0.22%–1.74%, and 0.80%–3.39%, respectively. PV in fresh, NR, and discarded oils were determined to be 1.15–3.93, 2.71– 7.51, and 2.84–14.68 meqO 2 /kg of oil. It was observed that commercial fryers were notusing the proper oil for frying. Furthermore, the last frying cycle just before discarding the oil may be dangerous for the health of consumers due to their significant level of TFAs, FFAs and PV. An easy UV spectrometric methodology was developed to assay PV of the FO samples. The assay of PV was based on the stoichiometric reaction of triphenylphosphine (TPP) with hydroperoxides available in FO samples to yield oxide of TPP, which indicates a reasonable absorption at 240 nm in UV region. The level of PV was found in the range 0.15-11.66 meqO 2 /Kg of oil in heated CLO samples for 1-12 h at frying temperature (180 0 C). Present methodology was compared with official procedure. The correlation of coefficient (R 2 ) was observed as 0.99525 which found in good agreement with official procedure. The present methodology may be used as a disjunctive to the official procedure, for the analysis of PV in FO samples. In another study the changes in main fat groups like saturated, monoene, trans and polyunsaturated FAs and their key fatty acid ratios (SFA/UFA, cis PUFA/SFA, C18:2/C16:0 and C18:3/C16:0) were investigated during potato chips frying in CLO. Single bounce attenuated total reflectance Fourier transform infrared (SB-ATR-FT-IR) spectroscopy was used for rapid analysis. The data obtained from gas chromatography- flame ionization detector (GC-FID) used as reference. The calibration of main fat groups and their key fatty acid ratios were developed by partial least square (PLS) regression coefficients using 4000 to 650 cm -1 spectral range. FT-IR PLS regression for the predicted SFAs, MUFAs, TFAs and PUFAs were found 0.999, 0.998, 0.998 and 0.999, respectively. Whereas for SFA/UFA, cis PUFA/SFA, C18:2/C16:0 and C18:3/C16:0 the regression coefficients were 0.991, 0.997, 0.996 and 0.994, respectively. We concludedthat FT-IR-PLS could be used for rapid and accurate assessment of changes in the main fat groups and their key fatty acid ratios ratio during frying process. The quantity of total polar compounds (TPC), carbonyl value (CV), conjugated diene (CD) and conjugated triene (CT) were monitored during potato chips frying in canola oil. Transmission Fourier transform infrared (FT-IR) spectroscopy was applied to attain improved sensitivity using 100 μm KCl cell. Partial least square (PLS) regression was applied to assess spectral regions correlating with known value of TPC, CV, CD and CT. Excellent coefficient of determinations were obtained as 0.997, 0.997, 0.999 and 0.999 for TPC, CV, CD and CT, respectively. The calibration models obtained were applied to analyze samples of canola oil drawn during potato chips frying from 1 to 7 h with wide ranges of 1.33 to 19.55% for TPC, 7.12 to 31.06 μmol/g for CV, 3.17 to 26.96 mmol/l for CD and 0.01 to 6.67 mmol/l for CT. A linear relationship was obtained between CD and TPC with a good correlation of coefficient (R 2 = 0.936). Results were compared with values obtained by their standard methods and found to be comparable. Outcomes of the present study revealed that transmission FTIR-PLS method could be used for quick and precise evaluation of oxidative changes occurred during frying process without using any organic solvent.
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شاعرانہ رنگ

شاعرانہ رنگ

                وہ بذات خود کیونکہ شاعر بھی ہیں اس لیے انہوں نے اپنے ناول میں نثر کے ساتھ ساتھ اپنی شاعرانہ طبیعت کو بھی زندہ رکھا ہے۔ نثر میں ان کا اندازبہت سادہ اور صاف ہے۔ نفیس طریقے سے لکھے گئے جملے سیدھے دل میں اترتے ہوئے محسوس ہوتے ہیں۔ بالکل ویسے ہی جیسے ان کے دل و دماغ سے نکلے ہوئے ہوں۔

                اپنی شاعرانہ طبیعت کے پیش نظر انہوں نے اپنی تخلیقی قوتوں سے ناول میں اپنی شاعری کے جوہر دکھائے ہیں اور ناول کے حسن کو چار چاند لگا دیئے ہیں اور ناول میں جہاں جزئیات نگاری سے کام لیا گیا ہے۔ طوالت کو مد نظر رکھا گیا ہے وہاں شاعری سے ٹھندی ہوا جیسی طراوت محسوس ہوتی ہے۔ نو لکھی کوٹھی میں شامل ایک نظم، جس نے سارا ماحول بدل کر رکھ دیا، اس کا کچھ حصہ ملاحظہ ہو:

"نومبر ہمیشہ اداس ہوتا ہے

رکا ہوا، مطمئن اور بے نیاز

اس کی وادی میں صبح ہوتی ہے، دوپہر سہ پہر

پھر شام آ جاتی ہے

مگر دھوپ کا مزاج نہیں بدلتا

آسمان کی طرح پر وقار بزرگی والا

زندگی نومبر کی طرح نہیں

زندگی بدلتی ہے، متواتر بدلتی ہے

وہ تجھے نومبر میں نہیں رہنے دے گی

دھوپ غبار آلود ہو جائے گی

 صاف نظر آنے والی چیزیں دھندلا جائیں گی

پھر سیاہ ہو جائیں گی

پھر اندھیرا کھا جائے گا

اس وقت جب میں نہیں ہوں گا

دوست کوشش کرنا نومبر نہ گزرے

An Agglomeration Benefits of Oil and Gas Firms: An Exploratory Study Through Industrial Cluster

The research investigates the agglomeration pattern of seven national, international oil and gas extraction and production companies through an exploration of oil and gas cluster components and subcomponents. For this exploratory study, data is collected through primary sources via in-depth interviews from managers of national and international oil and gas MNCs working in Sindh, Pakistan and through secondary sources of business reports. The content analysis is adopted to analyze the data. Results of this study reveal that there is strong existence of exploration and production companies which results in agglomeration, however, other components of oil and gas cluster like refineries, marketing companies, supporting institutes, media and government poorly exist in Sindh province of Pakistan. Findings also highlight that the Sindh as a resource-rich region is still underdeveloped due to poor management of resources or because of the absence of ideal oil and gas cluster components and coordination among them in the region.

Atmospheric Dispersion and Consequence Modeling of Radiological Emergencies

The Medium Term Development Frame Work (MTDF) 2005-10 by Planning Commission Government of Pakistan states the policy for power sector in which it puts a greater emphasis on nuclear power resources by increasing its share from currently 425 MW to 8800MW by 2030. With the increase of nuclear share in the overall national energy mix, a corresponding environmental impact and nuclear safety analysis are equally important. These are usually taken care of by Primary Safety Analysis Report (PSAR) of a proposed nuclear power plant. The PSAR of any proposed nuclear power plant involves the assessment of a hypothetical accidental release of radionuclides in the atmosphere as set forth by US-NRC and PNRA such as those given as criteria for preparation and evaluation of radiological emergency plans and preparedness (10CFR100, PAK/910). Modeling atmospheric dispersion (both transport and diffusion) is the first step of such assessments. The objective of this work is to determine a more precise modeling methodology that can better predict the radiological consequences in terms of radionuclide concentration and doses compared to Gaussian dispersion approach that is based on assumptions such as uniform turbulence, flat topography and non-variant wind speed with time and space. The research goal was achieved by developing two broad strategies on the basis of Lagrangian approach. The first strategy is an effort to provide a simple answer to the complex problem. This methodology makes use of empirical parameterization of meteorology which serves as input for dispersion calculations by Lagrangian Stochastic Particle Model (LSPM). But the beauty of approach is its capability to capture complex atmospheric phenomenon like wind directional shear. This approach was used to study hypothetical accidental release of radionuclides in nocturnal atmosphere which generates maximum wind directional shear. The results of dispersion in terms of dispersion coefficients were in good comparison with that of experimental findings in the available literature. The resulting ground level concentrations of radio-nuclides and radiological dose contours were also compared with those based on approach analogous to Gaussian Plume Model (GPM). The exercise proved that how misleading results would be if we ignore wind directional shear in stable atmosphere. The second approach is based on a state of the art solution. It involves the coupling of an Eulerian meteorological model (RAMS) with LSPM. The meteorological model is responsible to provide meteorological input to LSPM at each grid point and at each time step. This computational technique was used to simulate a hypothetical accident at a proposed site for Nuclear Power Plant. The meteorological output of the modeling system was compared with observed values. The comparison proved the efficacy and reliance of the approach. This computationally intensive but effective strategy is quite capable of supporting a real time decision making system for tackling nuclear emergency.