TY - GEN
T1 - Role of Bacterial Types and Odor for Early Detection Accuracy of Bacteria with Gas Array
AU - Al Isyrofíe, Achmad Ilham Fanany
AU - Afifudin, Reza
AU - Susilo, Yunus
AU - Kholimatussa'diyah, Septia
AU - Winarno,
AU - Astuti, Suryani Dyah
N1 - Publisher Copyright:
© 2022 American Institute of Physics Inc.. All rights reserved.
PY - 2022/1/25
Y1 - 2022/1/25
N2 - Periodontal disease, especially dental caries, is the most common disease that occurs in the oral cavity. Poor awareness of oral hygiene leads to tooth decay that usually ends with tooth extraction. Dental caries is caused by the accumulation of microbes, including bacteria in the oral cavity. The electronic nose is one ofthe methods that can be used for early detection of oral and dental diseases with gas array sensors. This article discusses the role of bacterial types and odor for the early detection accuracy of bacteria with gas array sensors. Study of e-nose application to detect the odor-based bacterial growth, taken from Pubmed, Web of Science, and Scopus. The results of article reviews from reputable internationaljournals showed that the TGS Metal Oxide Sensor (MOS) was able to identify gases formed by bacteria with more than 95% accuracy. In its implementation, the PCA computational analysis method is proven to be able to distinguish gases produced by bacteria properly. E-nose, with various computational analysis methods, has shown to be able to identify gases emitted by various bacterial and odors with a reasonably high accuracy value, namely in the range 80-90%.
AB - Periodontal disease, especially dental caries, is the most common disease that occurs in the oral cavity. Poor awareness of oral hygiene leads to tooth decay that usually ends with tooth extraction. Dental caries is caused by the accumulation of microbes, including bacteria in the oral cavity. The electronic nose is one ofthe methods that can be used for early detection of oral and dental diseases with gas array sensors. This article discusses the role of bacterial types and odor for the early detection accuracy of bacteria with gas array sensors. Study of e-nose application to detect the odor-based bacterial growth, taken from Pubmed, Web of Science, and Scopus. The results of article reviews from reputable internationaljournals showed that the TGS Metal Oxide Sensor (MOS) was able to identify gases formed by bacteria with more than 95% accuracy. In its implementation, the PCA computational analysis method is proven to be able to distinguish gases produced by bacteria properly. E-nose, with various computational analysis methods, has shown to be able to identify gases emitted by various bacterial and odors with a reasonably high accuracy value, namely in the range 80-90%.
UR - http://www.scopus.com/inward/record.url?scp=85147301049&partnerID=8YFLogxK
U2 - 10.1063/5.0104211
DO - 10.1063/5.0104211
M3 - Conference contribution
AN - SCOPUS:85147301049
T3 - AIP Conference Proceedings
BT - 8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
A2 - Wibowo, Anjar Tri
A2 - Mardianto, M. Fariz Fadillah
A2 - Rulaningtyas, Riries
A2 - Sakti, Satya Candra Wibawa
A2 - Imron, Muhammad Fauzul
A2 - Ramadhan, Rico
PB - American Institute of Physics Inc.
T2 - 8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
Y2 - 25 August 2021 through 26 August 2021
ER -