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Metal Determination in Vegetables - General Chemistry - Lab Experiments, Study notes of Chemistry

Metal Determination in Vegetables, Nutritional Value, Frozen Samples, Qualitative Analysis, Vegetable Samples, Silver Calibration Curve, Copper Calibration Curve, Potassium Calibration Curve. Chemistry subject needs lab work...no matter you its introductory subject or advanced subject of chemistry. Some keywords from this lab manual are given above.

Typology: Study notes

2011/2012

Uploaded on 12/23/2012

baga.baber
baga.baber 🇮🇳

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Download Metal Determination in Vegetables - General Chemistry - Lab Experiments and more Study notes Chemistry in PDF only on Docsity! Metal Determination in Vegetables (Real World): Introduction: Vegetables come with various minerals available for nutritional value. This lab is designed to study the levels available to a consumer. Frozen vs. Organic produce was determined to be the platform. Carrots, cauliflower, broccoli, green beans, and spinach were selected as samples. Both organic and frozen samples were purchased and used. Upon analysis of the samples in XRF, silver was discovered to be a component within our vegetables. Silver was then determined to be studied along with; potassium, calcium, iron, and copper. Objective: Prepare samples for qualitative analysis on XRF and determine which metals to study. Prepare standards and vegetable samples for run on ICP. Procedure: Vegetables were washed and blended with distilled water to liquification. Filtration was then completed by paper towels to remove the bulk plant material. Later various filtrations using vacuum and gravity to remove finer particulate matter was used. This came with varying degrees of success. During this time XRF data was compiled of each sample and using the qualitative analysis determined which metals to study. Samples were then prepared in a 10 to 1 dilution for analysis on ICP. Standard solutions were also created from stock solutions available in lab. Standards and samples were run and Data was then analyzed. Data: y = 10618x + 10.353 R² = 1 0 20000 40000 60000 80000 100000 120000 0 2 4 6 8 10 12 In te ns ity (c /s ) Concentration (ppm) Silver Calibration Curve Docsity.com y = 1E+06x + 17708 R² = 1 0 2000000 4000000 6000000 8000000 10000000 12000000 14000000 0 2 4 6 8 10 12 In te ns ity (c /s ) Concentration (ppm) Calcium Calibration Curve y = 7969x + 33.294 R² = 1 0 10000 20000 30000 40000 50000 60000 70000 80000 90000 0 2 4 6 8 10 12 In te ns ity (c /s ) Concentration (ppm) Copper Calibration Curve Docsity.com
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