A hybrid electronic nose system for discrimination of pathogenic bacterial volatile compounds

Seesaard, Thara; Thippakorn, Chadinee; Kerdcharoen, Teerakiat; Kladsomboon, Sumana

doi:10.1039/d0ay01255f

Cited by 22 publications

(16 citation statements)

References 55 publications

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“…Typically, they offer fast response and require little or no sampling operations, making them ideal tools for use as on-line monitoring. The cost of these arrays is relatively lower than chromatography, liquid chromatography and mass spectrometry [ 150 ]. Electronic noses and electronic tongues have been broadly applied in determining microbiological properties, even the process of growth in complex matrices [ 150 – 152 ].…”

Section: Emerging Alternativesmentioning

confidence: 99%

Analytical methods for assessing antimicrobial activity of nanomaterials in complex media: advances, challenges, and perspectives

Zhang

Hou

et al. 2023

J Nanobiotechnol

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Assessing the antimicrobial activity of engineered nanomaterials (ENMs), especially in realistic scenarios, is of great significance for both basic research and applications. Multiple analytical methods are available for analysis via off-line or on-line measurements. Real-world samples are often complex with inorganic and organic components, which complicates the measurements of microbial viability and/or metabolic activity. This article highlights the recent advances achieved in analytical methods including typical applications and specifics regarding their accuracy, cost, efficiency, and user-friendliness. Methodological drawbacks, technique gaps, and future perspectives are also discussed. This review aims to help researchers select suitable methods for gaining insight into antimicrobial activities of targeted ENMs in artificial and natural complex matrices.

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Section: Emerging Alternativesmentioning

confidence: 99%

Analytical methods for assessing antimicrobial activity of nanomaterials in complex media: advances, challenges, and perspectives

Zhang

Hou

et al. 2023

J Nanobiotechnol

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“…The data are stored on a local computer/online platform for further analysis. Due to the multivariate data obtained from the gas sensor array of the E-nose system, data analysis is usually performed via supervised/unsupervised machine learning algorithms with statistical methods such as principal component analysis (PCA) [49][50][51], hierarchical cluster analysis (CA) [52,53], analysis of variance (ANOVA) [54], linear discriminant analysis (LDA) [55], partial least squares discriminant analysis (PLS-DA) [56], simple visualization techniques [57], multivariate data analysis [58], artificial neural networks (ANNs) [59][60][61], artificial intelligence (AI) [62] and F-test [63]. A photograph and schematic diagram of a prototype portable E-nose system are displayed in Figure 3.…”

Section: History and Basic Principle Of E-nosementioning

confidence: 99%

“…analysis (PCA) [49][50][51], hierarchical cluster analysis (CA) [52,53], analysis of variance (ANOVA) [54], linear discriminant analysis (LDA) [55], partial least squares discriminant analysis (PLS-DA) [56], simple visualization techniques [57], multivariate data analysis [58], artificial neural networks (ANNs) [59][60][61], artificial intelligence (AI) [62] and F-test [63]. A photograph and schematic diagram of a prototype portable E-nose system are displayed in Figure 3.…”

Section: History and Basic Principle Of E-nosementioning

confidence: 99%

Recent Progress in Electronic Noses for Fermented Foods and Beverages Applications

Seesaard

Wongchoosuk

2022

Fermentation

Self Cite

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Fermented foods and beverages have become a part of daily diets in several societies around the world. Emitted volatile organic compounds play an important role in the determination of the chemical composition and other information of fermented foods and beverages. Electronic nose (E-nose) technologies enable non-destructive measurement and fast analysis, have low operating costs and simplicity, and have been employed for this purpose over the past decades. In this work, a comprehensive review of the recent progress in E-noses is presented according to the end products of the main fermentation types, including alcohol fermentation, lactic acid fermentation, acetic acid fermentation and alkaline fermentation. The benefits, research directions, limitations and challenges of current E-nose systems are investigated and highlighted for fermented foods and beverage applications.

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“…For instance, the gas sensors and electronic nose solutions promise important agricultural applications; for instance, monitoring and prediction of important parameters related to the growth and harvest of a crop, and allow data-driven management practices in several stages of agricultural activities [ 73 ]. Another useful application of electronic noses was demonstrated for discrimination of pathogenic bacterial volatile compounds [ 74 ].…”

Section: Evolutionary Training Of Power-weighted Multiplicative Neura...mentioning

confidence: 99%

An Evolutionary Field Theorem: Evolutionary Field Optimization in Training of Power-Weighted Multiplicative Neurons for Nitrogen Oxides-Sensitive Electronic Nose Applications

Alagöz

Simsek

Ari

et al. 2022

Sensors

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Neuroevolutionary machine learning is an emerging topic in the evolutionary computation field and enables practical modeling solutions for data-driven engineering applications. Contributions of this study to the neuroevolutionary machine learning area are twofold: firstly, this study presents an evolutionary field theorem of search agents and suggests an algorithm for Evolutionary Field Optimization with Geometric Strategies (EFO-GS) on the basis of the evolutionary field theorem. The proposed EFO-GS algorithm benefits from a field-adapted differential crossover mechanism, a field-aware metamutation process to improve the evolutionary search quality. Secondly, the multiplicative neuron model is modified to develop Power-Weighted Multiplicative (PWM) neural models. The modified PWM neuron model involves the power-weighted multiplicative units similar to dendritic branches of biological neurons, and this neuron model can better represent polynomial nonlinearity and they can operate in the real-valued neuron mode, complex-valued neuron mode, and the mixed-mode. In this study, the EFO-GS algorithm is used for the training of the PWM neuron models to perform an efficient neuroevolutionary computation. Authors implement the proposed PWM neural processing with the EFO-GS in an electronic nose application to accurately estimate Nitrogen Oxides (NOx) pollutant concentrations from low-cost multi-sensor array measurements and demonstrate improvements in estimation performance.

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A hybrid electronic nose system for discrimination of pathogenic bacterial volatile compounds

Abstract: Self-built hybrid electronic nose prototypes equipped with organic–inorganic nanocomposite gas sensors and metal-oxide semiconductor gas sensors for bacterial discrimination.

Cited by 22 publications

References 55 publications

Analytical methods for assessing antimicrobial activity of nanomaterials in complex media: advances, challenges, and perspectives

Analytical methods for assessing antimicrobial activity of nanomaterials in complex media: advances, challenges, and perspectives

Recent Progress in Electronic Noses for Fermented Foods and Beverages Applications

An Evolutionary Field Theorem: Evolutionary Field Optimization in Training of Power-Weighted Multiplicative Neurons for Nitrogen Oxides-Sensitive Electronic Nose Applications

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