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All Journal HAYATI Journal of Biosciences Biospecies METAMORFOSA Journal of Biological Sciences Jurnal Natur Indonesia POSITRON AL KAUNIYAH Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Biogenesis: Jurnal Ilmiah Biologi Prosiding Seminar Biologi Journal of Aceh Physics Society BIO-SITE |BIOLOGI Sains Terapan Jurnal Riau Biologia Jurnal Biologi Tropis Majalah Ilmiah Biologi BIOSFERA: A Scientific Journal Minda Baharu Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Unri Conference Series: Community Engagement
Tetty Marta Linda
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Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Education Energy Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Other

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Journal : POSITRON

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Identification and Classification of Thiamine with Amperometric Biosensor Based on Saccharomyces cerevisiae and Principal Component Analysis Umar, Lazuardi; Rosandi, Vira Annisa; Nainggolan, Leonardus Riski; Setiadi, Rahmondia Nanda; Linda, Tetty Marta
POSITRON Vol 13, No 1 (2023): Vol. 13 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v13i1.59432

Abstract

Vitamin B1 (thiamine) plays an important role in various metabolic processes and is one of the main factors in the body's health. Thiamine excess and deficiency in the body might cause a variety of diseases such as shortness of breath, beriberi, and heart failure, hence thiamine levels must be detected as a reference for intake. The present research detected thiamine using the amperometric biosensor method and the yeast Saccharomyces cerevisiae as a bioreceptor. Dissolved oxygen (DO) level measurement parameters are considered based on yeast cell metabolism. Thiamine was treated with various concentrations of 15 mM, 30 mM, 45 mM, 60 mM, and 75 mM. The measurement results are in the voltage range of 1912–1964 mV, where the addition of thiamine causes an increase in the reproducibility and growth rate of yeast cells. The ideal characteristics of the biosensor based on the parameters of sensitivity, linearity, and stability was also carried out, which resulted in successive biosensor measurements of 0.925 mV/mM, a correlation coefficient of r = 0.9868, and a decrease in the voltage response of the biosensor up to 4.97% from its initial activity. The measured data were grouped and classified using principal component analysis (PCA), which resulted in a total accumulated data variance percentage of 84.5% and an eigenvalue > 1 for both PCs. It is intended that the findings of this research can be utilized as a reference for controlling vitamin consumption levels that have an impact on health.
Quantitative Caffeine Analysis in Robusta Coffee Utilizing Amperometric Biosensing Technology Rosandi, Vira Annisa; Umar, Lazuardi; Setiadi, Rahmondia Nanda; Rini, Ari Sulistyo; Erwin, Erwin; Yanuar, Yanuar; Linda, Tetty Marta
POSITRON Vol 13, No 2 (2023): Vol. 13 No. 2 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v13i2.70008

Abstract

Consuming caffeine in inappropriate amounts can disrupt various aspects, especially health. Controlling intake by knowing the caffeine levels in coffee is necessary to reduce the potential negative impacts. This research focuses on the detection of caffeine in Robusta coffee at two different concentrations (1:10 and 1:20 g/mL) and its relationship with yeast metabolism. An amperometric biosensor with a transimpedance amplifier to measure caffeine levels is used which has the advantages of sensitivity, cost-effectiveness, real time monitoring, biocompatibility, and reliable measurements. The data were statistically analyzed using ANOVA and visualized using Principal Component Analysis (PCA). The results revealed a concentration -dependent decrease in biosensor readings as caffeine levels increased (0.1, 0.5, 1, 1.5, and 2 mM), indicating caffeine's ability to inhibit yeast oxygen consumption and oxygen-dependent metabolic processes. The sensitivity of the biosensor in detecting caffeine is 36.66 mV/mM. PCA uncovered complex patterns, relationships, and variations within the caffeine data. PC1 and PC2, the first two principal components, collectively explained 86.3% of the data's variance. Eigenvalues for both PCs were greater than 1, highlighting their significance in understanding the dataset's complexity. This research enhances our understanding of caffeine content in Robusta coffee and its effects on yeast metabolism, providing valuable insights for the coffee industry. This use of yeast biosensors offers efficiency, and adaptability that make that biosensor valuable in a variety of scientific and industrial contexts.
Co-Authors , HERLINDA , TABRI Aini, Diah Nurul Amanda, Dea Anggraini, Yeyen Septia Atria Martina Azizul Berlyansah Azzahra, Fhatya Berliansyah, Azizul BERNADETA LENI FEBRIANTI, BERNADETA LENI Binar Robinson M Dedi Futra Defani, Syafiqah Amirah Delita Zul Dessy Sari Mulfa Diah Nurul Aini Dwi Wahyuni Erwin Erwin ERWINA JULIANTARI, ERWINA Fauzi, Tiara Nurfadila Febriarti, Bernadeta Leni Fukuhara, Shafira Keiko Hanifa Hanifa Hanifa, Hanifa Herwanda, Fadia Rezika Husadha, Azura Imelda Wardani L. FIBRIARTI, BERNADETA LAMISSI NAPITUPULI Lazuardi Umar MAWARTI, INDAH Maya Sari Mira Rianda Monita Olivia Mufidah Dwi Suci Ningsih Muhammad Rinaldi Mulfa, Dessy Sari Nainggolan, Leonardus Riski Nani Anggraini Nery Sofiyanti Nila Veronika Nilandra, Namira Ratu Ninik Nihayatul Wahibah Novalita Dwi Fanny Pangestu, Adjie PESRITA, ANALIA Purba, Agnes Tasya Qosim, Muhammad Abdullah Rahayu, Sri Jumaliza Rahmah Agnissah Rahmani, Syauqi Susana Rahmondia N. Setiadi Ramadhan, Dhea Amanda Ramadhan, Ilmi Fajar Rati, Yolanda Ratna Jelita REGIANA SINTAWATI, REGIANA Respati, Reno Widi Rini, Ari Sulistyo Rini, Ari Sulistyo Rizki Amalia RODESIA MESTIKA ROZA Rodesia Mustika Roza Rosandi, Vira Annisa Saberina Hasibuan Safrida Dwiningsih Sari, Avilia Dayang Sembiring, Rinawati Sezhianindi Firiola Silvera Devi Sri Ramadhani Syahgiri, Aldiyan Syauqi Susana Rahmani Tiara Elsita Masni Vanda Julita Julita Vanisa Sri Elvani Wahyu Lestari Wahyu Lestari Wahyu Lestari Wahyuliyanti, Wahyuliyanti Wahyuni, Levita Wati, Andini Saras Wijayanti, Indriani Windi Dona Fitri Fitri Yanuar Hamzah Yanuar Yanuar, Yanuar Yuliati, Rola Zahara, Latifah Zia, Khaleda Zia