Biomimetic Electronic Tongue for Classification of Mineral Water

Men, Hong; Ge, Zongnian; Guo, Yuming; An, Lingfei; Yan, Peng

doi:10.1109/icmtma.2009.634

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…; Men et al . ). An electronic tongue with 36 cross‐sensibility sensors was built allowing successful recognition of the five basic taste standards, showing high sensibility to acid, salty and umami taste substances and lower performance to bitter and sweet tastes (Dias et al .…”

Section: Detecting Milks Of Different Speciesmentioning

confidence: 97%

“…The concept of electronic tongue or taste sensor has developed rapidly in the last decade due to its potential use in food quality control. It is an emerging technology which combines sensor data fusion, pattern recognition and computer technology (Hruskar et al 2009;Men et al 2009). An electronic tongue with 36 cross-sensibility sensors was built allowing successful recognition of the five basic taste standards, showing high sensibility to acid, salty and umami taste substances and lower performance to bitter and sweet tastes (Dias et al 2009).…”

Section: Electronic Tonguementioning

confidence: 99%

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Detection of adulteration in milk: A review

Poonia

Jha

Sharma

et al. 2016

Int J of Dairy Tech

151

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Milk is a wholesome nutritious dairy product and is consumed by a majority of the population worldwide for drinking as such, as well as via dairy products. However, the practice of adulteration of milk invariably reduces its quality and may introduce hazardous substances into the dairy supply chain jeopardising consumers’ health. Various instances of adulteration of milk have been reported globally, wherein substances such as extraneous water, foreign proteins, whey proteins, melamine and urea, vegetable or animal fats, plus many minor constituents of milk fat have been added as potential adulterants in milk and milk products. This review focusses on the different methods of detection of these adulterants in milk using techniques such as DSC, RP‐HPLC, LC‐GC, HPTLC, immunoassays: CE, ELISA, FAMPST, FTIR, NIR spectroscopy, PAGE, IEF, DNA‐based methods and MALDI‐MS that have been developed and employed for the last 25 years. The combination of advanced IR spectroscopy and chemometrics provides a powerful tool for quality and authenticity analysis of milk. An electronic tongue is an easy and economic tool for the detection of caprine milk adulterations with bovine milk. Biosensors having the ability to furnish real‐time signals have been developed for the detection of urea in milk. An attempt has been made to give a clear understanding of the most suitable methods for the determination of various sources of adulteration.

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Section: Detecting Milks Of Different Speciesmentioning

confidence: 97%

Section: Electronic Tonguementioning

confidence: 99%

Detection of adulteration in milk: A review

Poonia

Jha

Sharma

et al. 2016

Int J of Dairy Tech

151

View full text Add to dashboard Cite

show abstract

“…Na revisão feita, um sistema de LE foi desenvolvida e usada para a análise qualitativa de cinco diferentes tipos deáguas minerais. Os dados originais adquiridos foram otimizados pela técnica Independent Component Analysis (ICA) e LDA, e então três modelos foram projetados para classificar as amostras, usando LVQ, SOM e um combinando ICA com LVQ (Men et al (2009)). Outro estudo que usa rede SOM e MLP foi apresentado em Breijo et al (2013) relata a utilização de uma LE voltamétrica para a detecção e discriminação de diferentes concentrações de 2, 4 e 6 trinitrotolueno (TNT) em misturas de acetonitrilo.…”

Section: Estado Da Arteunclassified

Análise de Dados de Língua Eletrônica baseada em redes SOM 1D

Sousa

Ferreira

Fukushima

et al. 2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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The design of devices that resemble biological recognition systems, inspired by the functioning of human organs, have made important advances in recent decades. As a result, interest in the concept of electronic languages has increased considerably in recent years. This study uses this type of device in order to identify different samples of flavor enhancers, such as Glutamate, Guanylate and Inosinate. The applied methodology involves self-organizing maps, an unusual tool in this area. The best results reached 95,4% accuracy. Resumo: O projeto de dispositivos que se assemelham a sistemas de reconhecimento biológico, inspirados no funcionamento deórgãos humanos, tiveram avanços importantes nasúltimas décadas. Em consequência disso, o interesse no conceito de línguas eletrônicas aumentou consideravelmente nosúltimos anos. Este estudo utiliza esse tipo de dispositivo com o intuito de identificar diferentes amostras de realçadores de sabor, como Glutamato, Guanilato e Inosinato. A metodologia aplicada envolve redes do tipo mapas auto-organizáveis, ferramenta pouco usual nessaárea. Os melhores resultados atingiram 95,4% de precisão.

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Electronic Tongue Systems for the Analysis of Beverages

Nery

2016

Analysis of Samples of Clinical and Alimentary Interest With Paper-Based Devices

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Biomimetic Electronic Tongue for Classification of Mineral Water

Cited by 8 publications

References 6 publications

Detection of adulteration in milk: A review

Detection of adulteration in milk: A review

Análise de Dados de Língua Eletrônica baseada em redes SOM 1D

Electronic Tongue Systems for the Analysis of Beverages

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