Electrochemical sensor: preparation technique based on electronic tongue in fragrance

Rattanawarinchai, Prapakorn; Krongkrachang, P.; Chodjarusawad, Thanawee; Phromyothin, Darinee

doi:10.1016/j.matpr.2017.06.146

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…It should be noticed that, if the perfumes were split by men or women type, 100% of correct predictive classifications could be obtained (LOO-CV procedure) using LDA models based on the signal profiles of 8 and 9 E-tongue sensors, respectively, selected by the SA algorithm (data not shown). The overall correct classification rates achieved with the lab-made potentiometric E-tongue are of the same order of magnitude as those reported in the literature using E-nose devices coupled with different chemometric techniques (which predictive sensitivities ranged from 71 to 98% when classifying different perfume classes or discriminating them by brand) [14,16] or even with a voltammetric E-tongue [21]. Furthermore, compared to the reported performances achieved with E-nose These results showed, for the first time, that a potentiometric E-tongue could be used as a classifier sensor device for perfume analysis, namely for identifying the main olfactory family.…”

Section: Classification Of Perfumes According To the Main Aroma Familysupporting

confidence: 75%

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An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period

Jarboui

Marx

Veloso

et al. 2020

Talanta

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A B S T R A C TThe identification of more than three perfumes is difficult and no analytical tool can completely replace the human olfactory system for fragrance classification. Indeed, no analytical system can mimic the human fragrance perception, being the recognition of perfume aroma patterns by conventional or sensor-based analytical tools a challenging task. For the perfume sector, the possibility of applying fast, cost-effective and green analytical devices for perfume analysis would represent a huge economic revenue. Since the perfume aroma pattern will depend on the composition of the liquid phase and on the diffusion properties of their volatile components, this work aimed to apply a potentiometric electronic tongue, comprising non-specific cross-sensitive lipid polymeric membranes, combined with chemometric techniques, as a novel perfume classifier. The multisensors device allowed establishing perfumes' unique fingerprints, which were successfully used to discriminate men from women perfumes, to identify the perfume aroma family (Citric-Aromatic, Floral, Floral-Fruity, Floral-Oriental, Floral-Woody, Woody-Oriental and Woody-Spicy) and, assessing the perfume storage time-period (≤ 9 months; 9-24 months; and, ≥ 24 months). The established linear discriminant models were based on single-run potentiometric profiles gathered by sub-sets of sensors selected using the simulated annealing algorithm, which enabled achieving correct classification rates of 93-100% (for leave-one-out cross-validation procedure). The satisfactory performance of the electronic tongue demonstrates the versatility of the proposed approach as a practical perfume preliminary classifier sensor device, which industrial application may be foreseen in a near future, contributing to a green-sustained economic growth of the perfume industry.

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Section: Classification Of Perfumes According To the Main Aroma Familysupporting

confidence: 75%

“…Contrary to other research areas (e.g., food science [20]), in the perfume field, the use of E-tongues is not common. Only one work reported the use of a voltammetric E-tongue for perfume evaluation [21]. The study evaluated the performance of a voltammetric E-tongue to detect the type and concentration of different perfume's fragrances.…”

Section: Introductionmentioning

confidence: 99%

An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period

Jarboui

Marx

Veloso

et al. 2020

Talanta

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“…The sensors were developed to meet the limitations of the human body. 1 Human organs that need to be protected and have limitations are the five human senses. One of the five senses that can directly interact with chemicals is a tongue.…”

Section: Introductionmentioning

confidence: 99%

QCM SENSOR SENSITIVITY ANALYSIS OF SILVER ELECTRODES COATED WITH LIPID MEMBRANE OLEYL ALCOHOL TOWARD NaCl AND HCl

Ummah

Tazi

Muthmainnah

2019

Jurnal Fisika dan Aplikasinya

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<p>One of the sensors, which is currently being developed is the QCM sensor. The QCM sensor is a sensor that utilizes the frequency change to detect a change in mass due to a test substance. The use of a QCM sensor includes other forms of electronic tongue sensor that can distinguish five basic flavours on the tongue. QCM sensor can also be varied electrodes using various lipid membranes such as electronic tongues to increase sensor sensitivity. This research aims to determine the sensitivity of the QCM sensor before and after coated with the lipid membrane to NaCl and HCl. The sensitivity of the QCM sensor to NaCl is 1.47 Hz/M for uncoated sensor and 0.63 Hz/M for coated sensor, while the sensitivity of HCl is 4.55 Hz/M for uncoated sensor and 4.93 Hz/M for coated sensor. The difference of the results is caused by the nature of ionization of the compound and the amount of concentration used. The result of the sensitivity research shows that the QCM sensor with Oleyl Alcohol lipid membrane is more sensitive to HCl than NaCl.</p>

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Electrochemical sensor: preparation technique based on electronic tongue in fragrance

Cited by 2 publications

References 11 publications

An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period

An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period

QCM SENSOR SENSITIVITY ANALYSIS OF SILVER ELECTRODES COATED WITH LIPID MEMBRANE OLEYL ALCOHOL TOWARD NaCl AND HCl

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