Search or add a thesis

Advanced Search (Beta)
Home > Evaluation of Biological Potential, Elemental Profiling and Gcms Based Metabolomics of Some Selected Grasses of Bahawalpur, Punjab Province, Pakistan

Evaluation of Biological Potential, Elemental Profiling and Gcms Based Metabolomics of Some Selected Grasses of Bahawalpur, Punjab Province, Pakistan

Thesis Info

Access Option

External Link

Author

Fatima, Iram

Program

PhD

Institute

Quaid-I-Azam University

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Chemistry

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/11390/1/Iram%20Fatima%20Plant%20Sciences%202019.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676726114671

Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Similar


Pakistan is enriched with natural flora comprising of unique wild and cultivated species utilized predominately by humans and animals. Bahawalpur region is in one of the nine divisions of the Punjab province in Pakistan established near the Sutlej River and comprises of many valuable species including grasses. Grasses possess remarkable economic and medicinal importance. All the cereal crops (maize, wheat, rice, barley) are also cultivated grasses. Many grasses are also used as a source of medicines as these are cheap, non-toxic and easily accessible. Hence, it is of keen interest to explore the native grasses of Bahawalpur region so that they can be used as a source of medicine and dietary fibre.In the present study, seventeen grasses were selected and their extracts were prepared in four solvents depending upon the polarity. Biological potential, elements and volatile compounds present in these extracts were evaluated. Initially, phytochemical tests were done to confirm the presence of different secondary metabolites. Total phenolic and flavonoid contents were determined spectrophotometrically which were detected in all extracts in varying concentrations. Highest phenolic contents were displayed in the methanol extracts of Ochthocloa compressa and Saccharum spontaneum (263.345 ± 16.35 mg GAE/g and 242.071 ± 20.63 mg GAE/g) while highest flavonoids contents were found in the ethanol extract of D. annulatum (47.023 mg QE/g) and the methanol extract of C. citratus (38.887 ± 2.19 mg QE/g). Antioxidant potential was determined via six different methods and the activity index was calculated. Results revealed that species which showed highest phenolic and flavonoid contents also exhibit highest antioxidant potential.Similarly, antimicrobial potential of all selected extracts was checked using disc diffusion assay which revealed somewhat weak to moderate antimicrobial potential against selected pathogens. So, cytotoxic potential was carried out to observe the toxicity potential of selected species. Among all species, O. compressa n-hexane extract showed highest cytotoxic potential with LC50 value of 2.80 µg/mL. All other species also displayed remarkable cytotoxic potential against brine shrimps. DNA damage protection assay was performed which revealed that ethanol and methanol extracts were more ix effective against DNA damage protection while acetone and n-hexane extracts did not show good activity. All inclusive, methanol extracts displayed significant biological potential as compared to the other extracts so they were further selected to examine antihemolytic potential of the plants. Methanol extracts of C. citratus (96.163 % inhibition), S. spontaneum (94.667 % inhibition), O. compressa (65.821 % inhibition) and D. annulatum (60.423 % inhibition) showed remarkable anti-hemolytic potential. Antihemolyticpotential of these species was found to be linked with the antioxidant potential and phenolic and flavonoid compounds. Strong anti-hemolytic and antioxidant activity of these plants suggests promising role in treating different diseases.Moreover, elemental profiling was done using ICP-MS and metabolomic studies were carried out using GC-MS. Results revealed the presence of seven essential and eighteen non-essential elements. Essential elements were found in decreasing order of potassium > magnesium > sodium > calcium > iron > manganese > zinc. Most of the non-essential elements were present within the permissible limit set by WHO which showed that the species are safe to use. GC-MS studies revealed the presence of more than 100 compounds in different concentrations. Decane (4.136 minutes) and m-cresol (5.46 minutes) were noted at minimum retention time in most of the species while Z-9hexadecenal (29.44 minutes) and 8, 11, 14-docosatrienoic acid, methyl ester (29.421 minutes) were identified at maximum retention time in most of the species. Total seventeen fatty acids and almost eighty-one different hydrocarbons were identified. Besides these, some monoterpenoids and diterpenoids were also detected in some species. Some of these compounds are known to possess cytotoxic potential while some of these compounds exhibit antimicrobial and antioxidant potential. Hence, these compounds are considerably involved in biological activities.In the end, individual organs of three species (S. halepense, D. annulatum and I. cylindrica) were investigated for further cell wall analysis. Acid-digestion of cell wall fractions revealed that xylose, arabinose, glucose and some traces of galactans are present more strongly in the aerial parts of selected species than the underground parts. Lichenase digestion confirmed that cellotrisoses exceeds cellotetroses and cellobioses in the cell wall of grasses. Dot-blot assay was done using eight commercial antibodies and comparison was made among dialysed and non-dialysed samples. Results revealed that x MLG, xylans, xyloglucans, arabinoxylan and glucoronoxylan were abundantly present in the sodium hydroxide extracts of non-dialysed samples while pachyman and mannan were not detected in significant concentrations. Some galactans were noted in the imidazole extracts of all fractions which showed the presence of pectins. Dialysed samples were not found effective to isolate hemi-celluloses from the fractions. Altogether, aerial parts possess more hemi-celluloses than the underground parts of plants.It is concluded that among all selected grass species, C. citratus, S. spontaneum, O. compressa and D. annulatum possess significant antioxidant, anti-hemolytic and cytotoxic potential. Overall, all species exhibited a variety of elements and compounds which are responsible for their biological activities. Moreover, these species can also be used as a biological marker. Cell wall analysis confirmed the presence of glycans in the aerial parts of plants which can be used as a dietary fibre and in different fibre industries. In future, in vivo studies should be carried out to confirm the medicinal value of these plants and compound isolation and microarray based profiling should be done to confirm the presence of non-volatile compounds and cell wall glycans.
Loading...
Loading...

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

اک کلاس فیلو کی فرمایش پر

اک کلاس فیلو کی فرمایش پر

میں کتنا پاگل لڑکا ہوں
پیار جو تم سے کر بیٹھا ہوں

پیار تو نیند چُرا لیتا ہے
پیار تو چین چُرا لیتا ہے
پیار میں درد ہی بس ملتا ہے
پیار میں اور نہیں کچھ رکھا

میں کتنا پاگل لڑکا ہوں
پیار جو تم سے کر بیٹھا ہوں

کون جو پیار میں جیت سکا ہو
پیار تو دھوکا ہی دھوکا ہے
پیار بھی وہ جو یک طرفہ ہو

میں کتنا پاگل لڑکا ہوں
پیار جو تم سے کر بیٹھا ہوں

طبی میدان عمل میں ضرورت کی بنیاد پر رخصت کا اطلاق

This research article discusses optimal concessions (Al-Rukhsa) in light of the views of Jursists  in medical context. The study adopted an analytical method to analyze Quranic Verses, Ahadith and the principles of Fiqh and reliable classical juristic writings  related to this particular topic. The study came up with several results and one of the important results is the emphasis on the permissiblity of the idea of looking for the optimal concessions to be acceptable if certain conditions and criteria are duly fulfilled. It also conclude that the reforms of islamic laws as well as juristic thoughts in the modern era can not oppose the Islamic fundamentals related to the idea of religious information as long as that refarmation does not atter the fundamentals of Islam.

Machine Vision Approach in the Classification of Breast Cancer Using Texture Analysis

The main objective of this research is to develop a diagnostic system, based on standard or objective parameters rather than non-standard or subjective parameters, which are already being employed by radiologists, for the classification of abnormalities present in mammograms, as benign or malignant. Radiologists differentiate biological behavior of these abnormalities on the basis of visual parameters such as size, shape and boundaries of the tumors. A benign tumor has small size, well-defined margins and homogenous texture, whereas, a malignant tumor typically has larger size, poorly margined and heterogeneous texture. Due to the limitations of human perception all these parameters become subjective, which cause a high risk of misinterpretation, inter and intra- observer variation, for correct decision. Considering all these factors, development of a compact system is required; (i) to accurately classify malignant and benign abnormalities within a reasonable time and cost, (ii) to increase diagnostic consistency by providing an objective (rather than subjective) evaluation. To meet the objectives a CAD system has been developed and employed on two types of data; (a) test data and (b) experimental data. In test data, five wheat varieties are differentiated by this system. For this purpose five types of 77 statistical textural features, which may be grouped as; first order (histogram) features, second order (GLCM) features, higher order (GLRM) features, autoregressive features, and gradient matrix based features are calculated from ROIs (8x8) (16x16) (32x32), and (64x64) under, μ±3σ and 1-99% normalization conditions by using MaZda software. The most relevant features for each size of ROI are selected by three approaches; Fisher’s Co-efficient, Probability of Error plus Average Correlation Co-efficient, and Mutual Information Co-efficient. In this way the most relevant 10 features are selected by each method. We received very poor results when data analysis capability is verified on the basis of 10 features selected by each method for each size of ROI except (64x64), by three multivariate techniques; PCA, LDA, and NDA under both normalization conditions, by a software „B11‟, integrated with MaZda.To improve the results, a set of 19 features is obtained by merging the features selected by each approach. An excellent clustering result with an accuracy of 99.67% is received, when data of these 19 features extracted from ROI (64x64) under 1-99% normalization, is deployed to NDA projection space. By using supervised classification approach, artificial neural network (ANN) the system is trained and tested on the basis of 70% and 30% of input data respectively. We received an accuracy of 99.90% and 93.11% in training and testing phase respectively. On the basis of results for test data analysis, it is concluded that the proposed CAD system produces the best result for large ROI window size when a combined set of features is deployed in NDA projection space. The experimental data (mammograms) is analyzed under these settings. The mammographic data is consisted of two types of images, Craniocaudel (CC) and Medioletral Oblique (MLO) view images. Unlike to other researchers in this work both types of images are considered in separate sections. As the experimental data (mammograms) has fine and micro-texture, so, initially abnormal regions in CC view images, marked by radiologists, are tried to be analyzed on the basis of combined set of features (discussed above for the case of test data), extracted from ROI (8x8) under above mentioned both normalization conditions. As NDA approach based on ANN classifier and a number of options are available on „B11‟ software to configure this classifier. Data analysis capability of selected features under different architectural settings of ANN on the basis number of neurons in input hidden layer and learning rate „η‟ in NDA projection space is tried. Then the classifier is trained and tested on the basis of architectural settings for which the best clustering is received, by splitting data in 70/30 ratio respectively. For ROI (8x8) we received testing accuracy of 91.18% when the classifier is configured with 2 neurons in hidden layer and learning rate is set at 0.15 when the features are extracted under μ±3σ normalization condition. For same of size of ROI when features are extracted under 1-99% conditions, the best testing accuracy of 88.44% is obtained for same architectural settings (2 neurons and η=0.15). As the performance of the system for ROI (8x8) is not satisfactory, so, we tried to classify same data by extracting features from ROIs (16x16) under the both normalization approaches. Following the same procedural steps we received an accuracy of 92.56% for testing phase, when the classifier is configured with 2 neurons in hidden layer at learning rate 0.20 and the features are extracted under 1-99% normalization. We received excellent classifier testing result with an accuracy of 97.55% when the classifier is configured with 3 neurons in hidden layer at learning rate 0.15 and the features are extracted by applying μ±3σ approach. For MLO view images we obtained a testing accuracy of 84.41%, when the classifier is configured with 5 neurons in hidden layer with learning rate is set at 0.22 and the data is normalized by μ±3σ approach.