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خواجہ غلام السیدین

خواجہ غلام السیدین
افسوس ہے کہ خواجہ غلام السیدین بھی دنیا سے رخصت ہوگئے، ان کی موت علمی دنیا کا اندوہناک حادثہ ہے، وہ علی گڑھ کی بہترین پیداوار اور اس کا مثالی نمونہ تھے، اﷲ تعالیٰ نے ان میں علم و فضل، فکر و نظر، تقریر و تحریر، تالیف و تصنیف بہت سے کمالات جمع کردیئے تھے، اردو اور انگریزی دونوں زبانوں میں ان کو بڑی قدرت تھی، تعلیم کے ماہر خصوصی تھے، ان کے خیالات میں گہرائی کے ساتھ بڑا اعتدال و توازن تھا اور وہ مغربی تعلیم اور مشرقی تہذیب کا سنگم تھے، وہ نئے دور کی پیداوار تھے اور جدید علوم و افکار میں مہارت کے ساتھ راسخ العقیدہ مسلمان بھی تھے، ان کے دل میں اپنے مذہب و ملت کا درد تھا، اگرچہ بعض مسائل میں وہ جدید خیالات سے متاثر تھے، لیکن اسلام کی ترجمانی کا پورا حق ادا کرتے تھے، انھوں نے قلم و زبان دونوں سے مذہب و ملت کی خدمت انجام دی، ان کو ہندوستان اور اس کے باہر بڑے بڑے علمی اعزاز حاصل ہوئے اور مختلف علمی، تعلیمی، مذہبی اور ادبی موضوعات پر انگریزی اور اردو دونوں زبانوں میں تصنیفی یادگار چھوڑیں، ان کی تصانیف بڑی فکر انگیز ہیں، اﷲ تعالیٰ ان کی مغفرت اور دنیا کی طرح آخرت کی سربلندی سے بھی سرفراز فرمائے، یوں تو آئے دن موتیں ہوتی رہتی ہیں، مگر جب کوئی معاصر اور ہم عمر اٹھتا ہے تو اپنا وقت بھی قریب نظر آتا ہے۔
بہت آگے گئے باقی جو ہیں تیار بیٹھے ہیں
(شاہ معین الدین ندوی، جنوری ۱۹۷۲ء)

 

اسلام اور سائنس میں تضاد کا تحقیقی جائزہ

This research is intended to explore the nature of relationship between Islam and Science whether they are compatible with each other or not? By studying and comparing the teachings of Islam and science it has been exposed that both are different in their foundations, nature and scope. Domain of science is limited to the realm of senses whereas Islam provides the knowledge and guidance about materialistic, unseen and metaphysical domain. Foundations of religion are based upon the revelation while science is based upon theories and experiments. Therefore when science reach the reality after passing through trial and error, confirms the teachings of religion, which proves that Islam and science are not only compatible but Islam plays a role of leadership and basic source for the scientific investigations. Moreover after careful review of Islamic and scientific knowledge it is suggested to know the foundations, nature and scope of both to know the relationship between them and to avoid the confusion.

New Matrix Development for the Matrix Assisted Laser Desorption/ Ionization Maldi for the Analysis of Biomolecules and Metabolites Profiling of Oral Cancer for Biomarker Search

This dissertation comprises of seven chapters. First chapter summarizes the brief introduction of matrix assisted laser desorption/ ionization mass spectrometry (MALDI-MS), its theory, applications, and significance in small molecule analyses. The second chapter summarizes the brief introduction of the development of metabolomics in omics sciences with relevance to oncology. While third chapter includes the oral cancer pathogenesis, classification, and its associated biomarkers. Fourth chapter is based on the possible increment in MALDI-MS sensitivity by increasing the ion generation via use of dopants in MALDI-MS matrices. These dopants constitute commonly used dyes, along with conventional MALDI-MS matrices which can significantly increase the ion intensity of standard proteins. Moreover, such effect remains consistent when applied to real samples (RSC Adv. 2017, 7, 6598–6604). Fifth chapter describes the successful application of 31 compounds of acylhydrazide, and isatin Schiff bases as alternate UV-LDI matrices for the analyses of peptides (<2000 Da) with significantly low background signals and showed comparable results with the conventional matrix (AJAC, 2012, 3, 779-789). Chapter six focused on the identification of distinguished metabolites of oral cancer tissue samples in comparison with precancerous and control tissue samples using gas chromatography-mass spectrometry (GC-MS) and chemometric analyses. Metabolites obtained were identified through National Institute of Standards and Technology (NIST) mass spectral (Wiley registry) library. Mass Profiler Professional (MPP) software was used for the alignment and for all the statistical analyses. 31 compounds out of 735 found distinguishing among oral cancer, precancerous and control group samples using p-value ≤ 0.05. The sensitivity and specificity of built model was found to be 85.7% and 93.3%, respectively, using statistically significant metabolites (Scientific Reports, 2016, 6, 38985-38993). Last chapter of the dissertation based on the distinctive identification of metabolites of oral cancer, snuff dippers and healthy plasma samples using GC-MS and chemometric analyses. Metabolites obtained were identified through NIST mass spectral library. MPP software was used for the data pretreatment and statistical analyses. 29 compounds were found distinguishing among oral cancer, snuff dippers and healthy group samples using p-value ≤ 0.001 and fold change ≥3. PLSDA model was generated using statistically significant metabolites which gave an overall accuracy of 89.2% (Submitted in Head & Neck).
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