Search or add a thesis

Advanced Search (Beta)
Home > Assessment of Concentration Levels of Toxic Heavy Metals in Water and Food Commodities in Urban Peshawar Nwfp

Assessment of Concentration Levels of Toxic Heavy Metals in Water and Food Commodities in Urban Peshawar Nwfp

Thesis Info

Access Option

External Link

Author

Khattak, Hidayat Ullah Khan

Program

PhD

Institute

University of Peshawar

City

Peshawar

Province

KPK

Country

Pakistan

Thesis Completing Year

2010

Thesis Completion Status

Completed

Subject

Chemistry

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/12715/1/Hidayat_ullah_Khan_Khattak_Chemistry_HSR_2010_UoP_Peshawar_12.09.2018.doc

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676725538204

Similar


Food safety is a major public concern worldwide. During the past few decades, the increasing environmental pollution has stimulated research regarding the risk associated with contamination of food commodities by pesticides, heavy metals and toxins. Heavy metals enter into the food supply chain by direct contact or by irrigation of soil with contaminated water. The presence of heavy metals such as Pb, Cr, Cd, Cu, Zn and Ni in dietary components is a matter of concern that indicated the need for continuous monitoring. In the present study the levels of concentration of toxic heavy metals in water (drinking and sewage contaminated water), soil and milk, meat, and vegetables collected from market as well as those grown in farmers’ fields that are irrigated with sewage contaminated water in the urban and rural Peshawar, NWFP, Pakistan were studied. The mean concentration of lead (Pb), chromium (Cr), cadmium (Cd), copper (Cu), zinc (Zn) and nickel (Ni) in sewage contaminated water in sector A were 18.1, 104.8, 1.3, 4.9, 1.5 and 5.9 times higher and in sector B were 12.9, 133.9, 1.8, 7.2, 2.7 and 5.6 folds higher than handpump water respectively. The concentration of these toxic heavy metals in sewage contaminated water of sector A were 31.6, 261.9, 2.5, 11.6, 3.6 and 29.9 times higher than tube well water and in sector B were 16.9, 288.4, 2.7, 12.3, 6.1 and 30.7 folds higher respectively. The concentrations of heavy metals in handpump water of the two sectors were significantly higher than in deep tube water. Pb concentration in handpump water of the two sectors was significantly different at p < 0.01.The levels of concentration of Pb, Cr, Cd, Cu, Zn and Ni in tube well water of sector A were 0.028, 0.040, 0.006, 0.035, 0.045 and 0.015 mg kg -1 and in sector B were 0.062,0.052, 0.009, 0.055, 0.054 and 0.020 mg kg –1 respectively. The concentration of Pb and Cu in the tube well water of the two sectors were significantly different at p < 0.05. The mean concentration of ammonium bi-carbonate diethylenetramine penta acetic acid(AB- DTPA) extractable Pb, Cr, Cd, Cu, Zn and Ni in soil of sector A were 3.4, 8.7, 2.3, 7.8, 4.8 and 9.7 times higher than in soil irrigated with tube well water in sector C and in sector B were 4.5, 15.0, 3.5, 14.2, 7.3 and 15.9 fold higher than in sector C. Total concentration of these heavy metals in the soil ofsector A were 2.0, 3.2, 2.6, 3.7, 5.9 and 3.0 times higher and in sector B were 2.1, 4.2, 3.3, 4.4, 4.6 and 3.5 fold higher than in soil of sector C. The extractable concentrations of Pb, Cr, Cu, Zn and Ni were significantly different at p < 0.05 and Cd was non significantly different in soil of the two sectors A and B. Total concentration of Cr, Cd and Ni were significantly different and Pb, Cu and Zn were non significantly different in the two sectors. The concentrations of Pb, Cr, Cd, Cu, Zn and Ni in the edible parts of spinach, cabbages and tomatoes were regressed against the total concentrations of toxic heavy metals. Statistically significant correlations of total concentration of heavy metals in soils and those of AB- DTPA extractable concentration were found. The average levels of concentration of Pb, Cr, Cd, Cu, Zn and Ni in the vegetables (spinach, cabbages and tomatoes) grown in the soil irrigated with sewage contaminated water of sector A were 1.9, 2.6, 2.4, 1.3, 2.1 and 1.4 times higher and in sector B were 2.8, 4.8, 2.7, 1.2, 2.5 and 1.6 folds higher than their concentration in sector C. The mean concentrations of Pb in spinach and cabbages of sectors A versus B differ significantly at P < 0.05, Cr, Cd, Cu, Zn and Ni were non significantly different. The concentrations of Cr, Cu in tomatoes of sector A differ significantly from sector B and Pb, Cd, Zn and Ni differ non significantly. The results of linear regression analysis indicated that concentration of Pb and Cr in spinach of the three sectors A, B, C were significantly negatively correlatedwith total concentration of Pb and Cr in soil and Cd, Cu, Zn and Ni were significantly positively correlated (R2 = 0.620 - 0.994) with total concentration in the soil. The transfer factor (TF) of Pb, Cr, Cd, Cu, Zn and Ni was high in spinach of sector C compared to the other two sectors although the AB-DTPA extractable concentration was lower in soil. In cabbages, TF of Cd was high in sectors A and B and in tomatoes, TF of these heavy metals in sector A and B were higher than in sector C. To measure the levels of toxic heavy metals contamination of vegetables, meat and milk in Peshawar markets, twelve types of vegetables frequently consumed in the region were analyzed for Pb, Cr, Cd, Cu, Zn and Ni. The data reflect the potential of some vegetables to accumulate heavy metals which is apparent in vegetables with large surfaces area e.g spinach which contain higher amount of lead. The concentration of Pb, Cr, Cd, Cu, Zn and Ni were 0.19- 2.01, 0.19- 0.86, 0.01- 0.94, 1.43- 24.60, 5.9- 40.6 and 2.14- 4.51 mg kg-1 respectively. In meat, the concentration of these toxic heavy metals ranged from 0.038- 0.097, 0.011- 0.049, 0.012- 0.053, 1.63- 3.55 and 22.96- 67.81 mg Kg-1 for Pb, Cr, Cd, Cu and Zn. The mean concentration of these heavy metals in milk was 0.55, 0.04, 0.2, 1.01 and 6.59 units for Pb, Cr, Cd, Cu and Zn respectively. Pb concentration was above the permissible level in milk.
Loading...

Similar Thesis

Showing 1 to 20 of 100 entries
TitleAuthorSupervisorDegreeInstitute
PhD
University of Peshawar, Peshawar, Pakistan
PhD
University of Peshawar, Peshawar, Pakistan
PhD
University of Peshawar, Peshawar, Pakistan
Mphil
Mehran University of Engineering and Technology, Jamshoro, Pakistan
University of Engineering and Technology, Lahore, Pakistan
BS
International Islamic University, Islamabad, Pakistan
Mphil
Quaid-i-Azam University, Islamabad, Pakistan
BBS
COMSATS University Islamabad, Islamabad, Pakistan
PhD
University of Karachi, Karachi, Pakistan
University of Engineering and Technology, Lahore, Pakistan
Mphil
Quaid-i-Azam University, Islamabad, Pakistan
MSc
International Islamic University, Islamabad, Pakistan
Mphil
Quaid-i-Azam University, Islamabad, Pakistan
Mphil
Quaid-i-Azam University, Islamabad, Pakistan
BS
International Islamic University, Islamabad, Pakistan
Mphil
Quaid-i-Azam University, Islamabad, Pakistan
PhD
University of the Punjab, Lahore, Pakistan
Mphil
Mehran University of Engineering and Technology, Jamshoro, Pakistan
PhD
Quaid-i-Azam University, Islamabad, Pakistan
Riphah International University, Islamabad, Pakistan
TitleAuthorSupervisorDegreeInstitute
Showing 1 to 20 of 100 entries

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

یونس رضوی

یونس رضوی(۱۹۲۷ء) سیالکوٹ میں پیدا ہوئے۔ آپ نے ۱۹۴۹ء میں محکمہ انکم ٹیکس میں ملازمت حاصل کی۔ ۱۹۵۴ء میں فلم انڈسٹری لاہور سے رابطہ قائم کیا۔ آپ نے غزل ،نظم اور دیگر اصناف میں طبع آزمائی کی لیکن فلم انڈسٹری سے منسلک ہونے کی وجہ سے آپ کی زیادہ توجہ گیت نگاری کی طرف تھی۔(۷۵۵) ان کا شعری کلام ملک کے مختلف رسائل و جرائد میں چھپتا رہا۔ ایک شعری مجموعہ ’’میرے آنسو میرے گیت‘‘ ،زمزمہ پرنٹنگ پریس سیالکوٹ سے ۱۹۷۶ء میں شائع ہوا۔

یونس نے اردو شاعری میں کوئی نئی اور انوکھی راہیں دریافت نہیں کیں ۔بلکہ وہ اپنی شاعری میں روایت پسندنظر آتے ہیں۔ ان کی شاعری غم و اندوہ کی شاعری ہے۔ مگر ان کے ہر شعر کے پردے میں ایک ایسی چھپی ہوئی مضبوط انا کا وجود ملتا ہے۔ جو حوادث کی ستمرانیوں سے کبھی زخمی نہیں ہوتی۔ اور زندگی کا ہر آنے والا زخم انھیں پہلے سے کہیں زیادہ حوصلہ مند اوربا وقار بنا دیتا ہے۔

یونس رضوی کا نمونہ کلام ملاحظہ ہو:

شبِ سیاہ مکمل شبِ سیاہ نہ تھی

 

تمہاری زلف کا سایہ بھی اس میں ڈالا گیا

 

بساطِ عشق کی بازی تمام ہار گئے

 

مذاقِ عشق ہمارا بلند و بالا گیا

(۷۵۶)

 

غم زمانے کا متاع جسم و جاں تک آگیا

 

آگ کا شعلہ لپک کر آشیاں تک آگیا

 

کٹ تو جائیں گے شب و روز فراق ان کے بغیر

 

دکھ یہی ہے کہ رونق شام و سحر جاتی رہی

(۷۵۷)

 

گردش دوراں کے ہاتھوں اس قدر مجبور ہوں

 

زندگی کی ہر مسرت سے میں کوسوں دور ہوں

(۷۵۸)

۷۵۶۔یونس رضوی ،’’ میرے گیت میر ے آنسو‘‘،ص: ۵۱

۷۵۷۔ایضاً،ص:۴۱،۴۲

۷۵۸۔ایضاً،ص:۴۸

اسلامی ریاست میں داخلی استحکام کے لیے مرکز اور صوبوں کے تعلقات

There is a dire need of an experienced and authoritative mechanism in the polity of Islām in order to run the affairs of the state in a benefiting manner. This mechanism divides the state into different regions and provinces so as to carry out the affairs of the state in an organized way. These provinces must be founded on some administrative basis, not on racial, lingual or regional grounds. It is necessary that these units are autonomous as far as authority and power is concerned. It will help eradicate parochial differences and strengthen integrity of a country. It is essential to keep up and safeguard the freedom and the rights of these units. We can get our desired objectives, if legal and constitutional safeguards are meted out to these administrative units of the state. According to ‘Allāmah Ibn Khaldūn’s point of view, it is imperative to strengthen a state instead of expanding it. There must be small but integrated autonomous units of the state. Such division helps these units to progress and prosper. The golden principle of power distribution is in vogue in all eras, although its structure has been different and varied. In this article, we are going to view the structure of distribution in the perspective in an Islamic state

Variance of Maximum Likelihood Estimates for the Hidden Markov Model With Multipartite Graph Structure Transition

This study was conducted with the aim to derive an expression for variance of the maximum likelihood estimators of the hidden Markov model having multipartite graph structure transition. To obtain the estimates of variance, observed information matrix was derived using the Louise (1982) method. This study derived information matrix for the m1 and m2 partition of states which were observed at time 2t ? 1 and 2t respectively. Also, in this study, lower bound for variance of maximum likelihood estimates was derived. The study also defines a parametric bootstrap procedure for computation of variance. To check the validity of derived matrix for maximum likelihood estimates, a numerical example was used to estimate the variance using derived information matrix and compared with the results of parametric bootstrap. For this purpose, a real world data, named, as ”faithful” considered, which is freely available in statistical software R. The data-set have 272 observations on each of two variables i.e. eruption time te and waiting time tw, both measured in minutes. In this study, variable te was considered in one partition of states, which observed at time 2t?1 and variable tw was considered in second partition of states, which observed at time 2t. The study compared estimated variances by observed matrix and parametric bootstrap procedure for different combination of states and sample sizes. The comparison showed a smaller variation in values of maximum likelihood estimates obtained from observed matrix than by bootstrap procedure. In combination of states, both approaches showed almost similar variances. The overall comparison indicates that estimated variance of maximum likelihood estimators by observed matrix seems meaningful i.e. explaining less variation than that obtained from the bootstrap procedure. To study the empirical performance of the derived observed matrix for variance of maximum likelihood estimators, an extensive simulation study of various sample size was conducted. Simulated data were generated for different sizes and variance was calculated by observed matrix.