Proceedings of the Conference on Broad Exposure to Science and Technology 2021 (BEST 2021)

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Data Analysis for Hyaluronic Acid Production Using Principal Component Analysis

Authors
Medyan Riza1, *, Mukhlishien1, Andriansyah2
1Chemical Engineering Department Universitas Syiah Kuala, Banda Aceh, Indonesia
2Laaboratory of Industrial Computation and optimization Industrial Engineering Department, Universitas Syiah Kuala, Banda Aceh Indonesia.
*Corresponding author. Email: medyan.riza@unsyiah.ac.id
Corresponding Author
Medyan Riza
Available Online 1 February 2022.
DOI
10.2991/aer.k.220131.005How to use a DOI?
Keywords
Hyaluronic Acid; production; glucose; component analysis
Abstract

Hyaluronic Acid is widely used in proprietary pharmaceutical products such as viscoelastic fluids in ophthalmic surgery, vitreous substitutes, and additional products in Visco for orthopedic disorders: osteoarthritis therapy and sports medicine. To produce HA can be through the growth of microorganisms through experiments. However, experiments have limitations that require a lot of resources. This study tries to find information on experimental data using statistical correlation measurement techniques and principal component analysis. The variables observed from the experimental data were time, pH, and total HA production with changes in the initiation of glucose concentration. The results obtained that the glucose concentration of 20% resulted in the amount of HA with a correlation of 99%.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the Conference on Broad Exposure to Science and Technology 2021 (BEST 2021)
Series
Advances in Engineering Research
Publication Date
1 February 2022
ISBN
978-94-6239-526-8
ISSN
2352-5401
DOI
10.2991/aer.k.220131.005How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Medyan Riza
AU  - Mukhlishien
AU  - Andriansyah
PY  - 2022
DA  - 2022/02/01
TI  - Data Analysis for Hyaluronic Acid Production Using Principal Component Analysis
BT  - Proceedings of the Conference on Broad Exposure to Science and Technology 2021 (BEST 2021)
PB  - Atlantis Press
SP  - 29
EP  - 33
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.220131.005
DO  - 10.2991/aer.k.220131.005
ID  - Riza2022
ER  -