Electronic Nose (E-Nose) for Quality Detection of Tuna (Thunnus thynnus) Contaminated Bacteria
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Tuna (Thunnus thynnus) is a food that is often consumed raw to support raw food diet activities, so it has the potential to be contaminated with Salmonella typhi bacteria. Fish can be contaminated by bacteria due to their high water and protein content. Indonesia is the world's main tuna producer. Salmonella typhi detection in fresh tuna in Indonesia must be negative for Salmonella microbial contamination in order to meet food safety requirements. Microbial testing has drawbacks, such as long delays. An electronic nose was used to detect Salmonella typhi bacteria in tuna fish. The sample used consisted of 3 kinds of samples: Salmonella typhi bacteria, tuna, and tuna with Salmonella typhi contamination. The research was conducted with a shelf life of 48 hours and a sensing period every 6 hours with a sensor array of 8 sensors. The sensor output data is processed using the PCA (Principal Component Analysis) method. Through the PCA method, each variation of bacterial treatment can be classified. The result of the cumulative percentage variance of the two main components (PC) in the classification test between Salmonella typhi, tuna, and tuna with Salmonella typhi bacteria contamination was 90.5%. The most influential sensors in this study are TGS 825 for PC1 with a loading value of 0.625 and TGS 826 for PC2 with a loading value of -0.753. Therefore, it can be concluded that an electronic nose can classify between pure tuna and tuna contaminated with Salmonella typhi bacteria.
Richardo D, Winarto O, Japarianto E. Analysis of Surabaya Society's Perception of Organic Food. Journal of Hospitality and Service Management. 2015; 3(2): 260-273.
Pan L, ZhangW, Zhu N, Mao S, Tu K.Early detection and classification of pathogenic fungal disease in post-harvest strawberry fruit by electronic nose and gas chromatography–mass spectrometry. Food Research International. 2014; 62: 162-168.
Lestari DW, Prijo TA, Astuti SD. Optimation of 48 kHz Ultrasonic Wave Dose For The Inactivation of Salmonella typhi. Indonesian Journal of Tropical Disease. 2015; 5(4): 90-95.
Tkaczewska J. Peptides and protein hydrolysates as food preservatives and bioactive components of edible films and coatings-A review. Trends in Food Science & Technology. 2020; 106: 298-311.
Wijaya DR, Sarno R, Zulaika E, Sabila, SI. Development of mobile electronic nose for beef quality monitoring. Procedia Computer Science. 2017; 124: 728-735.
Chen A. The Impact of SPS Measures on Agricultural Exports from Developing Countries: A Case Study of Indonesian Fishery Industry (Doctoral dissertation, thesis, World Trade Institute, Swiss). 2014.
Rahayu WP, Prasetyawati C, Arizona, Y, Adhi W. Economic losses estimation due to rejection of Indonesian exported food. Journal of Transportation & Logistics Management. 2020; 7(01): 13-24.
Astuti SD, Tamimi MH, Pradhana AA, Alamsyah KA, Purnobasuki H, Khasanah M, Syahrom A. Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine. Biosensors and Bioelectronics. 2021; X, 9: 100083.
Liu SF, Moh LC, Swager TM. Single-walled carbon nanotube–metalloporphyrin chemiresistive gas sensor arrays for volatile organic compounds. Chemistry of Materials 2015; 27(10): 3560-3563.
Astuti, SD, Mukhammad Y, Duli, SAJ, Putra AP, Setiawatie EM, Triyana K. Gas sensor array system properties for detecting bacterial biofilms. Journal of Medical Signals and Sensors. 2019; 9(3):158-164.
Rosyad F, Lenono, D. Classification of beef purity based on electronic nose with principal component analysis method. IJEIS (Indonesian J. Electron. Instrum. Syst, 2016; 6(1): 47.
Papadopoulou OS, Panagou EZ, Mohareb FR, NychasGJE. Sensory and microbiological quality assessment of beef fillets using a portable electronic nose in tandem with support vector machine analysis. Food Research International. 2013; 50(1): 241-249.
Hidayat SN, Triyana K. Optimized back-propagation combined with radial basic neural network for improving performance of the electronic nose: Case study on the fermentation process of tempeh. In AIP Conference Proceedings 2016, July; (Vol. 1755, No. 1: p. 020001. AIP Publishing LLC.
Pradhana AAS, Astuti SD, KhasanaM, Ardianti RKD. Detection of gas concentrations based on age on Staphylococcus aureus biofilms with gas array sensors. In AIP Conference Proceedings. 2020, December; (Vol. 2314, No. 1, p. 030012). AIP Publishing LLC.
Triyana K, Taukhid Subekti M, Aji P, Nur Hidayat S, Rohman A. Development of electronic nose with low-cost dynamic headspace for classifying vegetable oils and animal fats. In Applied Mechanics and Materials 2015; Vol. 771: pp. 50-54.
Peris M, Escuder-Gilabert, L. Electronic noses and tongues to assess food authenticity and adulteration. Trends in Food Science & Technology. 2016; 58: 40-54.
Fonollosa J, Sheik S, Huerta R, Marco S. Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring. Sensors and Actuators B: Chemical. 2015; 215: 618-629.
Ansaloni L, Rennemo R, Knuutila HK, Deng L. Development of membrane contactors using volatile amine-based absorbents for CO2 capture: Amine permeation through the membrane. Journal of Membrane Science. 2017; 537: 272-282.
Pepi M, Leonzio C, Focardi S, Renzi M. Production of methyl mercury by sulphate-reducing bacteria in sediments from the Orbetello lagoon in presence of high macroalgal loads. Ecological Questions. 2020; 31(4): 21-40.
Tharwat A. Principal component analysis. an overview. Pattern Recognit. 2016; 3(3): 197-240.
Mirzaee-Ghaleh E, Taheri-Garavand A, Ayari F, Lozano J. Identification of fresh-chilled and frozen-thawed chicken meat and estimation of their shelf life using an E-Nose machine coupled fuzzy KNN. Food Analytical Methods. 2020; 13(3): 678-689.
Triyana K, Taukhid Subekti M, Aji P, Nur Hidayat S, Rohman A. Development of electronic nose with low-cost dynamic headspace for classifying vegetable oils and animal fats. In Applied Mechanics and Materials 2015; Vol. 771: pp. 50-54. Trans Tech Publications Ltd.
Bolt LM, Schreier AL. Student research collaboration as conservation education: A case study from the primate field school at Maderas Rainforest Conservancy. American Journal of Primatology. 2022; 23414.
Adom D. Inclusion of local people and their cultural practices in biodiversity conservation: lessons from successful nations. American Journal of Environmental Protection. 2016; 4(3): 67-78.
Jamali SN, Assadpour E, Feng J, Jafari SM. Natural antimicrobial-loaded nanoemulsions for the control of food spoilage/pathogenic microorganisms. Advances in Colloid and Interface Science. 2021; 295: 102504.
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