2017
DOI: 10.1088/1757-899x/260/1/012043
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Rapid lard identification with portable electronic nose

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Cited by 10 publications
(17 citation statements)
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References 22 publications
(24 reference statements)
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“…Latief et al used the e-nose technique for rapidly identify lard adulteration in three different liquid forms of lard, beef, and chicken. The data showed the ability to identify lard with the highest accuracy of nearly 95.6% [ 77 ]. However, the change in volatile compounds of meat may indicate deterioration (enzymatic, chemical, and microbial) during cold storage [ 78 ].…”
Section: Detection Methods For Authentication and Adulteration Of Hal...mentioning
confidence: 99%
“…Latief et al used the e-nose technique for rapidly identify lard adulteration in three different liquid forms of lard, beef, and chicken. The data showed the ability to identify lard with the highest accuracy of nearly 95.6% [ 77 ]. However, the change in volatile compounds of meat may indicate deterioration (enzymatic, chemical, and microbial) during cold storage [ 78 ].…”
Section: Detection Methods For Authentication and Adulteration Of Hal...mentioning
confidence: 99%
“…An electronic nose's sensors can be selected to recognise an interesting odour. The electronic nose is typically a combination of an odour delivery system, a sensor (array), a data acquisition and a data processing unit (Latief et al, 2017). In environmental and medical investigations, electronic noses have different applications.…”
Section: Electronic Nose Technology (E-nose)mentioning
confidence: 99%
“…The identification of various flavours of milk, meat, tea, spoiled beef and spoiled fish are some applications of electronic noses (Latief et al, 2017).…”
Section: Electronic Nose Technology (E-nose)mentioning
confidence: 99%
“…A scatter plot of sample dataset is shown in Figure 2 [65]. The dataset consists of nine unique classes of three types of fat each experimented with three different temperatures.…”
Section: Electronic Nosementioning
confidence: 99%
“…The overlap indicates the chemical structure of a chicken fat is very similar to lard, and studies conducted with other techniques have proven that as well. Figure 3 shows the individual plot of the three classes and their responses at different temperatures [65]. Linear regression lines in the background show an upward trend in sensor response, with lard having the highest gradient out of the three.…”
Section: Electronic Nosementioning
confidence: 99%