Non-destructive detection of fish spoilage using a wireless basic volatile sensor

Bhadra, Sharmistha; Narvaez, Claudia; Thomson, D. J.; Bridges, Greg E.

doi:10.1016/j.talanta.2014.12.017

Cited by 64 publications

(29 citation statements)

References 16 publications

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“…Given the facile detection of amines in solution and on solid supports with MAF, we investigated its utility to sense amine vapors. Detection of amine vapors is important for various applications, including food spoilage, where volatile amines such as dimethylamine (DMA) and ammonia are released from aging meat . To evaluate the sensitivity of our sensor toward volatile amines, MAF was exposed to known concentrations of amine vapors.…”

Section: Methodsmentioning

confidence: 99%

A Versatile and Highly Selective Colorimetric Sensor for the Detection of Amines

Diaz

Page

Knight

et al. 2017

Chemistry A European J

113

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Section: Methodsmentioning

confidence: 99%

A Versatile and Highly Selective Colorimetric Sensor for the Detection of Amines

Diaz

Page

Knight

et al. 2017

Chemistry A European J

113

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“…Remark that new research and technologies are in course to make these measurements faster and nondestructive, what would allow having at hand very reliable statistics of the initial conditions. In this respect, impedance methods (see for example Koutsoumanis & Nychas (2000)) can be used to determine microbial counts, whereas TVB-N content can be measured using non-destructive colorimetry sensor arrays (Huang et al, 2015) or using different types of ph-electrodes (Heising et al, 2014a;Bhadra et al, 2015).…”

Section: Demonstration On the Use Of The Smart Sensor In Practicementioning

confidence: 99%

Smart sensor to predict retail fresh fish quality under ice storage

García¹,

Cabo

Herrera

et al. 2017

Journal of Food Engineering

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Fish wastage and market prices highly depend on accurate and reliable predictions of product shelf life and quality. The Quality Index Method (QIM) and EU grading criteria for whitefish (Council Regulation(EC) No 2406/96, 1996) are established sensory methods used in the market to monitor fish quality. Each assessment requires the consultation of a panel of trained experts. The indexes refer exclusively to the current state of the fish without any predictions about its evolution in the following days. This work proposes the development of a smart quality sensor which enables to measure quality and to predict its progress through time. The sensor combines information of biochemical and microbial spoilage indexes with dynamic models to predict quality in terms of the QIM and EU grading criteria. Besides, the sensor can account for the variability inside the batch if spoilage indexes are measured in more than one fish sample. The sensor is designed and tested to measure quality in fresh cod (Gadus morhua) under commercial ice storage conditions. Only two spoilage indexes, psychrotrophic counts and total volatile base-nitrogen content, were required to get accurate estimations of the two usual established sensory methods. The sensor is able to account for biological variability as shown with the validation and demonstration data sets. Moreover, new research and technologies are in course to make these measurements faster and non-destructive, what would allow having at hand a smart non-intrusive fish quality sensor.

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“…Bhadra et al 217 developed a hydrogel-pH-electrode based on NFC technology for detecting sh spoilage. The sensor showed a detection limit of 1.5 ppm and can identify bacterial population up to 10 7 cfu g À1 for real-time monitoring of sh spoilage at 24 C to 4 C storage conditions.…”

Section: Carbon Nanotube-based Rfid Tag Sensorsmentioning

confidence: 99%

Inkjet printed nanomaterial based flexible radio frequency identification (RFID) tag sensors for the internet of nano things

Singh

Nalwa³

2017

RSC Adv.

186

115

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Non-destructive detection of fish spoilage using a wireless basic volatile sensor

Cited by 64 publications

References 16 publications

A Versatile and Highly Selective Colorimetric Sensor for the Detection of Amines

A Versatile and Highly Selective Colorimetric Sensor for the Detection of Amines

Smart sensor to predict retail fresh fish quality under ice storage

Inkjet printed nanomaterial based flexible radio frequency identification (RFID) tag sensors for the internet of nano things

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