Fish Quality Recognition using Electrochemical Gas Sensor Array and Neural Network

Rivai, Muhammad; Mısbah, Mısbah; Attamimi, Muhammad; Firdaus, Muhammad Hamka; Tasripan,; Tukadi,

doi:10.1109/cenim48368.2019.8973369

Cited by 15 publications

(6 citation statements)

References 10 publications

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“…By combining the characterization of the sensing responses of five sensors to target fish samples with data processing techniques (PCA), and based on international fish freshness standards, the fish freshness in different storage stages can be distinguished, with a reliability of about 97%. Rivai et al developed a technique for determining fish quality using semiconductor gas sensor arrays (commercial sensors: H2S-B4, MQ-136, and MQ-137) and neural network (NN) algorithms (Rivai et al, 2019). The 16-bit ADC ADS1115 module converts analog sensor signals to digital data and then feeds these sensor data to an NN algorithm in the microcontroller.…”

Section: Electronic Nosementioning

confidence: 99%

“…Rivai et al. developed a technique for determining fish quality using semiconductor gas sensor arrays (commercial sensors: H2S‐B4, MQ‐136, and MQ‐137) and neural network (NN) algorithms (Rivai et al., 2019). The 16‐bit ADC ADS1115 module converts analog sensor signals to digital data and then feeds these sensor data to an NN algorithm in the microcontroller.…”

Section: Gas Sensor Array Electronic Nose Technology and Their Applic...mentioning

confidence: 99%

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Metal–oxide–semiconductor resistive gas sensors for fish freshness detection

Debliquy

Zhang

2022

Comp Rev Food Sci Food Safe

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Fish are prone to spoilage and deterioration during processing, storage, or transportation. Therefore, there is a need for rapid and efficient techniques to detect and evaluate fish freshness during different periods or conditions. Gas sensors are increasingly important in the qualitative and quantitative evaluation of high‐protein foods, including fish. Among them, metal–oxide–semiconductor resistive (MOSR) sensors with advantages such as low cost, small size, easy integration, and high sensitivity have been extensively studied in the past few years, which gradually show promising practical application prospects. Herein, we take the detection, classification, and assessment of fish freshness as the actual demand, and summarize the physical and chemical changes of fish during the spoilage process, the volatile marker gases released, and their production mechanisms. Then, we introduce the advantages, performance parameters, and working principles of gas sensors, and summarize the MOSR gas sensors aimed at detecting different kinds of volatile marker gases of fish spoiling in the last 5 years. After that, this paper reviews the research and application progress of MOSR gas sensor arrays and electronic nose technology for various odor indicators and fish freshness detection. Finally, this review points out the multifaceted challenges (sampling system, sensing module, and pattern recognition technology) faced by the rapid detection technology of fish freshness based on metal oxide gas sensors, and the potential solutions and development directions are proposed from the view of multidisciplinary intersection.

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Section: Electronic Nosementioning

confidence: 99%

Section: Gas Sensor Array Electronic Nose Technology and Their Applic...mentioning

confidence: 99%

Metal–oxide–semiconductor resistive gas sensors for fish freshness detection

Debliquy

Zhang

2022

Comp Rev Food Sci Food Safe

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“…Teknologi electronic nose merupakan salah satu solusi yang dapat digunakan dalam menentukan kualitas tembakau. Electronic nosetelah digunakan secara luas baik untuk monitoring lingkungan [5][6], perpaduan electronic nose dengan neural network digunakan untuk identifikasi, antara lain deteksibahan beracun [7], menentukan kualitas ikan [8] dan deteksi kualitas tembakau [9][10].…”

Section: Pendahuluanunclassified

Deteksi Kualitas Tembakau Berdasarkan Aroma Berbasis Electronic Nose

Misbah

Arif

Suryo

2021

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Tembakau mempunyai aroma khas, yang dihasilkan dari bahan organik yang mudah menguap dan yang tidakmudah menguap. Kualitas tembakau ditentukan dari proses fermentasi dan pengeringan. Pada industri rokok,penentuan kualitas tembakau dilakukan oleh tenaga ahli dengan mengandalkan indra penciuman. Hal iniberpotensi menghasilkan tingkat kesalahan yang tinggi. Electronic nose dapat dijadikan salah satu solusidalam menentukan kualitas tembakau. Electronic nose terdiri dari beberapa sensor gas dan unit pengolah data. Sensor gas yang dipakai adalah MQ4, MQ7, MQ 135 dan MQ137. Sedangkan pada unit pengolah dataterdapat algoritma kecerdasan buatan menggunakan neural network. Neural network terdiri dari 4 neuron pada input layer, 25 neuron pada hidden layer dan 2 neuron pada output layer dengan fungsi aktivasi TanSig. Dari hasil pengujian sistem ini dapat mengidentifikasi tembakau yang baik, sedang dan jelek dengan tingkatkeakurasiaan 95%.

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“…Researchers use the MQ-137 gas sensor module to measure ammonia gas concentrations 3 . The instrument is used for ammonia gas leak detection 4 , fish quality recognition 5 , and monitoring ammonia gas in poultry farms 6 . The MQ-137 gas sensor module is a metal oxide semiconductor sensor based on tin oxide (SnO2) that is widely used in the construction of electronic nose systems due to its high sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Electronic nose ammonia gas monitoring via IoT system for Chlorella sp. cultivation

Srinuanjan¹,

Kruakuanphet²,

Phongwisit³

et al. 2023

SPIE Future Sensing Technologies 2023

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In this paper, we present an electronic nose ammonia gas monitoring via IoT system for Chlorella sp. cultivation. The MQ-137 gas sensor module is selected as the primary sensor for measuring ammonia gas concentration. The pH sensor module is the sensor for measuring the pH levels in Chlorella sp. ponds. The MQ-137 gas sensors are calibrated with a known concentration of ammonia gas in the calibration box. Calibration conditions are set corresponding to low concentration of ammonia gas produced by Chlorella sp. cultivation. The pH sensor module is calibrated against a standard pH buffer. The calibration data obtained from the calibration method is input into computer programming and processed by the ESP8266 microprocessor. After calibration, the MQ-137 gas sensor and pH sensor modules are used to measure the ammonia gas concentration and pH levels in the Chlorella sp. ponds. Chlorella sp. is cultivated under three conditions of light intensity, natural light with an average light intensity of 1521 Lux, and artificial light with a light intensity of 1000 Lux and 2000 Lux, respectively. The ammonia gas concentration and pH levels of Chlorella sp. cultivation are transferred to the cloud system and displayed via the IoT system. And the system can also send a notification to a smartphone when ammonia gas concentration and the pH levels reach the specified value.

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Fish Quality Recognition using Electrochemical Gas Sensor Array and Neural Network

Cited by 15 publications

References 10 publications

Metal–oxide–semiconductor resistive gas sensors for fish freshness detection

Metal–oxide–semiconductor resistive gas sensors for fish freshness detection

Deteksi Kualitas Tembakau Berdasarkan Aroma Berbasis Electronic Nose

Electronic nose ammonia gas monitoring via IoT system for Chlorella sp. cultivation

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