Effect of Supplementation of Flour with Fruit Fiber on the Volatile Compound Profile in Bread

This paper presents the analyses of the effect of fiber additives on volatile organic compounds in bread. The bread was baked from wheat flour with the addition of 3% of fruit fiber, following common procedures. After baking, volatile organic compounds contained in the control bread and breads supplemented with cranberry, apple, and chokeberry fiber were determined. The SPME/GC-MS technique was used for the identification of the odor profile, and the electronic nose Agrinose (e-nose) was used to assess the intensity of the aroma. The results of the analyses revealed the profile of volatile organic compounds in each experimental variant, which was correlated with responses of the electronic nose. The results indicate that the volatile compound profile depends on the bread additives used and influences the intensity of bread aroma. Moreover, the profile of volatile organic compounds in terms of their amount and type, as well as the intensity of their interaction with the active surface of the electrochemical sensors, was specific exclusively for the additive in each case.

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Discriminative detection of volatile organic compounds using an electronic nose based on TiO2 hybrid nanostructures

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2021.130124 ◽

2021 ◽

pp. 130124

Author(s):

Patrick P. Conti ◽

Rafaela S. Andre ◽

Luiza A. Mercante ◽

Lucas Fugikawa-Santos ◽

Daniel S. Correa

Keyword(s):

Volatile Organic Compounds ◽

Organic Compounds ◽

Electronic Nose ◽

Hybrid Nanostructures ◽

Volatile Organic

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Non-Invasive Method to Detect Infection with Mycobacterium tuberculosis Complex in Wild Boar by Measurement of Volatile Organic Compounds Obtained from Feces with an Electronic Nose System

Sensors ◽

10.3390/s21020584 ◽

2021 ◽

Vol 21 (2) ◽

pp. 584

Author(s):

Kelvin de Jesús Beleño-Sáenz ◽

Juan Martín Cáceres-Tarazona ◽

Pauline Nol ◽

Aylen Lisset Jaimes-Mogollón ◽

Oscar Eduardo Gualdrón-Guerrero ◽

...

Keyword(s):

Volatile Organic Compounds ◽

Wild Boar ◽

Organic Compounds ◽

Electronic Nose ◽

Bovine Tuberculosis ◽

Human Beings ◽

Non Invasive ◽

Testing Phase ◽

Volatile Organic ◽

Electronic Nose System

More effective methods to detect bovine tuberculosis, caused by Mycobacterium bovis, in wildlife, is of paramount importance for preventing disease spread to other wild animals, livestock, and human beings. In this study, we analyzed the volatile organic compounds emitted by fecal samples collected from free-ranging wild boar captured in Doñana National Park, Spain, with an electronic nose system based on organically-functionalized gold nanoparticles. The animals were separated by the age group for performing the analysis. Adult (>24 months) and sub-adult (12–24 months) animals were anesthetized before sample collection, whereas the juvenile (<12 months) animals were manually restrained while collecting the sample. Good accuracy was obtained for the adult and sub-adult classification models: 100% during the training phase and 88.9% during the testing phase for the adult animals, and 100% during both the training and testing phase for the sub-adult animals, respectively. The results obtained could be important for the further development of a non-invasive and less expensive detection method of bovine tuberculosis in wildlife populations.

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Influence of age and gender on the profile of exhaled volatile organic compounds analyzed by an electronic nose

Jornal Brasileiro de Pneumologia ◽

10.1590/s1806-37562015000000195 ◽

2016 ◽

Vol 42 (2) ◽

pp. 143-145 ◽

Cited By ~ 8

Author(s):

Silvano Dragonieri ◽

Vitaliano Nicola Quaranta ◽

Pierluigi Carratu ◽

Teresa Ranieri ◽

Onofrio Resta

Keyword(s):

Volatile Organic Compounds ◽

Organic Compounds ◽

Electronic Nose ◽

Principal Component ◽

Exhaled Breath ◽

Age And Gender ◽

Volatile Organic ◽

Older Subjects ◽

Never Smokers ◽

And Gender

We aimed to investigate the effects of age and gender on the profile of exhaled volatile organic compounds. We evaluated 68 healthy adult never-smokers, comparing them by age and by gender. Exhaled breath samples were analyzed by an electronic nose (e-nose), resulting in "breathprints". Principal component analysis and canonical discriminant analysis showed that older subjects (≥ 50 years of age) could not be distinguished from younger subjects on the basis of their breathprints, as well as that the breathprints of males could not distinguished from those of females (cross-validated accuracy, 60.3% and 57.4%, respectively).Therefore, age and gender do not seem to affect the overall profile of exhaled volatile organic compounds measured by an e-nose.

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Flexible Impedimetric Electronic Nose for High-Accurate Determination of Individual Volatile Organic Compounds by Tuning the Graphene Sensitive Properties

Chemosensors ◽

10.3390/chemosensors9120360 ◽

2021 ◽

Vol 9 (12) ◽

pp. 360

Author(s):

Tianqi Lu ◽

Ammar Al-Hamry ◽

José Mauricio Rosolen ◽

Zheng Hu ◽

Junfeng Hao ◽

...

Keyword(s):

Volatile Organic Compounds ◽

Organic Compounds ◽

Electronic Nose ◽

Accurate Determination ◽

Identification Accuracy ◽

Structural Defects ◽

Support Vector ◽

Volatile Organic ◽

Variable Sensitivity ◽

Relative Change

We investigated functionalized graphene materials to create highly sensitive sensors for volatile organic compounds (VOCs) such as formaldehyde, methanol, ethanol, acetone, and isopropanol. First, we prepared VOC-sensitive films consisting of mechanically exfoliated graphene (eG) and chemical graphene oxide (GO), which have different concentrations of structural defects. We deposited the films on silver interdigitated electrodes on Kapton substrate and submitted them to thermal treatment. Next, we measured the sensitive properties of the resulting sensors towards specific VOCs by impedance spectroscopy. We obtained the eG- and GO-based electronic nose composed of two eG films- and four GO film-based sensors with variable sensitivity to individual VOCs. The smallest relative change in impedance was 5% for the sensor based on eG film annealed at 180 °C toward 10 ppm formaldehyde, whereas the highest relative change was 257% for the sensor based on two-layers deposited GO film annealed at 200 °C toward 80 ppm ethanol. At 10 ppm VOC, the GO film-based sensors were sensitive enough to distinguish between individual VOCs, which implied excellent selectivity, as confirmed by Principle Component Analysis (PCA). According to a PCA-Support Vector Machine-based signal processing method, the electronic nose provided identification accuracy of 100% for individual VOCs. The proposed electronic nose can be used to detect multiple VOCs selectively because each sensor is sensitive to VOCs and has significant cross-selectivity to others.

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