Minerals-to-Metals Research Initiative‚ Department of Chemical Engineering‚ University of Cape Town‚ Private Bag‚ Rondebosch‚ 7701‚ South Africa a r t i c l e i n f o Available online 17 June 2010 Keywords: Acid mine drainage Prediction test Sulfide tailings a b s t r a c t Acid mine drainage (AMD) is formed by the microbially catalysed oxidation of sulfide minerals on exposure to moisture and air. It results in the ongoing contamination of water streams with acidity‚ sulfate and metal
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dental patients reach peak candidacy for wisdom tooth extraction. This oral surgery procedure is best performed at this age because the wisdom teeth are fully formed‚ and removing them can prevent overcrowding and other dental issues from occurring down the road. The family dentistry professionals at Lowitz & Meier in Cincinnati‚ OH‚ will assess your teen’s wisdom teeth to determine whether extraction is the best option for them. Wisdom tooth extraction is a common form of oral surgery that minimizes
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analyze data and draw a conclusion. In this experiment I will find out that in a type of water the Alka-Seltzer will dissolve faster and slower. Alka-Seltzer is one of the world’s best known antacids. Its main function is to absorb excess stomach acid. II. MATERIALS: * Tap Water - Warm Water * Cold Water - Salt Water * Acidic Water -5 cups (250 mL of water in each cup) * A whole Alka-Seltzer tablet III. HYPOTHESIS: My hypothesis is that the Alka-Seltzer tablet
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EXTRACTION OF DNA FROM ONIONS ABSTRACT The purpose of the experiment was to experience firsthand the isolation of DNA form a plant tissue without destroying its structure and sequence. A white onion was used for the experiment. After several processes‚ DNA isolate was the visible result. Different chemical tests were performed on the DNA isolate‚ namely: Dische Test‚ Murexide Test‚ Wheeler-Johnson test and Test for Phosphate. Visible results were then noted. INTRODUCTION DNA (deoxyribonucleic
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isolated from tea leaves. This was done through solid-liquid extraction followed by multiple liquid-liquid extraction. Then crude material obtained was then purified by sublimation. The isolated caffeine was subjected to thin layer chromatography (TLC) together with a standard caffeine. The Rf value obtained for both isolated caffeine and standard caffeine was 0.24. Keywords: solid-liquid extraction‚ multiple liquid-liquid extraction‚ sublimation‚ thin layer chromatography‚ percent caffeine
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Extraction of caffeine from Lipton tea leaves Maria Gianna Beatrice L. Cancio*‚ Joe Mari Isabella B. Caringal‚ Rowena A. Chiang‚ Patricia Deanne del Valle Department of Biological Sciences‚ College of Science‚ University of Santo Tomas‚ España‚ Manila‚ Philippines Abstract Caffeine was extracted from Lipton tea leaves by multiple extraction techniques namely solid to liquid extraction and liquid to liquid extraction; the purification by sublimation and melting point determination. Three
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Extraction of caffeine from tea bags ABSTRACT Caffeine extraction from the commercial tea leaves (Lipton Yellow Label Tea) that was done is multiple extraction. 4 tea bags were used in the experiment; tea leaves were weighed having 8.5333 grams. The leaves were boiled in a beaker with 150ml of water; the aqueous tea extract was transferred in a seperatory funnel mixed with DCM (20ml)‚ done thrice. The DCM layer was washed with 20ml 6M NaOH in the seperatory funnel; the organic layer was dried
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chemical synthesis: extraction of crude caffeine pose little toxicity to human health and the environment.(1) Q2) Things not green: According to GCP# 5 i.e. Safer solvent and auxiliaries: In liquid-liquid extraction of caffeine‚ Dicholoromethane was used which is a hazardous chemical and have potential acute health effects(2). According to GCP#12 i.e. Inherent safer chemistry for accident prevention: The separatory funnels used in the experiment for liquid-liquid extraction was a dangerous procedure
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RAJESH BUSINESS INTELLIGENCE GENERIC EXTRACTION CHAPTER – 4 EXTRACTIONS It is mainly used for extracting the data form other Source Systems like R/3 etc. DataSource: Defines as extract structure and transfer structure from source system (like SAP R/3) and transfer structure from BW side. ES -> What data to be extracted from source system TS -> What data to be extracted from source system to BW. TS is a group of fields which indicated how the data is coming from the source system
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Class diagram extraction from textual requirements using Natural language processing (NLP) techniques Abstract The automation of class generation from natural language requirements is highly challenging. This paper proposes a method and a tool to facilitate requirements analysis process and class diagram extraction from textual requirements using natural language processing NLP and Domain Ontology techniques. Requirements engineers analyze requirements manually to come out with analysis
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