Ultraviolet-Visible Spectrophotometric Determination of Caffeine in Different Tea Samples
Keywords:
Determination, caffeine, tea samples in Yobe, UV-Vis analysisAbstract
Martins Moses, Andy N.M., John Stanley, Muslim U. Abdullahi, Benjamin Biko, Silas, Ishaku, Adam Aliyu and Christiana O. Albert
Caffeine (1,3,5-trimethylxanthine) contents fromseventeen brands of black and green tea that are common in Yobe State, Nigeria were extracted and analysed for their concentration usingan Ultraviolet-Visible spectrophotometer. The results indicated caffeine concentration in the range of 347ppm (in Akbar tea) to 770 ppm (in Sultan tea). The relative concentration of caffeine in the analyzed samples ranked as follows, Sultan (770 ppm) > Lipton yellow label (733 ppm) > Amar (728 ppm) > Shams Green Tea (712ppm) > Tea Pot (699 ppm) >Ahdar (670 ppm)> Nana Tea (666 ppm) > Apple Black Tea(649 ppm)> Ahmed Tea(639 ppm) > Lipton Clear Green (599 ppm) > Tea Shop (564ppm)> Tetley (553 ppm) > Accord (508 ppm) > Tiger (388 ppm)> Top Tea (378 ppm)> Beyond Comment (365 ppm) > Akbar (347ppm). The caffeine contents in the tea samples analyzed in this study were below the maximum recommended limits for consumption and may not present an immediate health challenge except if excessive consumption is administered within a short period.
Downloads
Published
Issue
Section
Similar Articles
- Kabiru Usman, H. Abba, O. R. A. Iyun, Preparation and Characterization of African Star Apple Seed Shell (Chrysophyllum Africanum) For The Removal of Acid Red 9 , Communication In Physical Sciences: Vol. 8 No. 1 (2022): VOLUME 8 ISSUE 1
- Stella Mbanyeaku Ufearoh, Onyinyechi Uloma Akoh, Christian Odih, GC-MS Characterization and Anti-Anaemic/Haematological Activity of Ethanol Extract of Solanum Aethiopicum Leaves , Communication In Physical Sciences: Vol. 12 No. 1 (2024): VOLUME 12 ISSUE 1
- Hauwa, I. Muhammad, Monday Musah, Sheriff Abdulfatai, Heavy Metal Concentrations in Various Species of Onion Bulbs in (Allium Spp.) Lapai Market, Niger State, Nigeria , Communication In Physical Sciences: Vol. 7 No. 2 (2021): VOLUME 7 ISSUE 2
- Abdulateef Oluwakayode Disu, Henry Makinde, Olajide Alex Ajide, Aniedi Ojo, Martin Mbonu, Artificial Intelligence in Investment Banking: Automating Deal Structuring, Market Intelligence, and Client’s Insights Through Machine Learning , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Akaezue Nelson Nwagbogwu, Ngiangia Alalibor Thompson, Onyeaju Michael Chukwudi, Thermal Properties of Diffusing Species into Some Host Metals , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Emmanuel Acquah, Design and Implementation of a Cost-Effective Electronic Voting Machine Using Arduino Microcontroller , Communication In Physical Sciences: Vol. 13 No. 2 (2026): VOLUME 13 ISSUE 2
- N. B. Essien, Sorghum Waste as an Efficient Adsorbent for the Removal of Zn2+and Cu2+ from Aqueous Medium , Communication In Physical Sciences: Vol. 5 No. 2 (2020): VOLUME 5 ISSUE 2
- Samuel A. Egu, Akachukwu Ibezim, Efeturi A. Onoabedje, Uchechukwu C. Okoro, N-Myristoyl Transferase Inhibitors with Antifungal Activity in Quinolinequinone Series: Synthesis, In-silico Evaluation and Biological Assay , Communication In Physical Sciences: Vol. 5 No. 4 (2020): VOLUME 5 ISSUE 4
- Emmanuel Gbenga Dada, David Opeoluwa Oyewola, Stephen Bassi Joseph, Deep Convolutional Neural Network Model for Detection of Sickle Cell Anemia in Peripheral Blood Images , Communication In Physical Sciences: Vol. 8 No. 1 (2022): VOLUME 8 ISSUE 1
- Musa Runde, M. H. Shagal, Y. Abba, Cow Dung and Kitchen Waste as Economical Source of Biogas: Production and Analysis , Communication In Physical Sciences: Vol. 7 No. 3 (2021): VOLUME 7 ISSUE 3
You may also start an advanced similarity search for this article.