Application of an electronic nose with novel method for generation of smellprints for testing the suitability for consumption of wheat bread during 4-day storage

In this study, we propose a novel method for reducing the attributes of sensory datasets using Master–Slave Synchronization of chaotic Lorenz Systems (DPSMS). As part of the performance testing, three benchmark datasets and one Electronic Nose (EN) sensory dataset with 3 to 13 attributes were presented to our algorithm to be projected into two attributes. The DPSMS-processed datasets were then used as input vector to four artificial intelligence classifiers, namely Feed-Forward Artificial Neural Networks (FFANN), Multilayer Perceptron (MLP), Decision Tree (DT) and K-Nearest Neighbor (KNN). The performance of the classifiers was then evaluated using the original and reduced datasets. Classification rate of 94.5%, 89%, 94.5% and 82% were achieved when reduced Fishers iris, crab gender, breast cancer and electronic nose test datasets were presented to the above classifiers.

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A novel method for rapid quantitative evaluating formaldehyde in squid based on electronic nose

LWT ◽

10.1016/j.lwt.2018.11.012 ◽

2019 ◽

Vol 101 ◽

pp. 382-388 ◽

Cited By ~ 8

Author(s):

Dong-Chen Gu ◽

Wei Liu ◽

Yu Yan ◽

Wei Wei ◽

Jian-hong Gan ◽

...

Keyword(s):

Electronic Nose ◽

Novel Method

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Novel method for the producing area identification of Zhongning Goji berries by electronic nose

Food Chemistry ◽

10.1016/j.foodchem.2016.11.049 ◽

2017 ◽

Vol 221 ◽

pp. 1113-1119 ◽

Cited By ~ 31

Author(s):

Qi Li ◽

Xiuzhu Yu ◽

Lirong Xu ◽

Jin-Ming Gao

Keyword(s):

Electronic Nose ◽

Goji Berries ◽

Novel Method

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Differentiation between Cerebrospinal Fluid and Serum with Electronic Nose

Otolaryngology ◽

10.1016/j.otohns.2005.03.021 ◽

2005 ◽

Vol 133 (1) ◽

pp. 16-19 ◽

Cited By ~ 14

Author(s):

Anna Aronzon ◽

C. William Hanson ◽

Erica R. Thaler

Keyword(s):

Principal Component Analysis ◽

Cerebrospinal Fluid ◽

Electronic Nose ◽

Clinical Setting ◽

Sensor Array ◽

Low Cost ◽

Principal Component ◽

Rapid Diagnosis ◽

Novel Method ◽

Csf Leaks

OBJECTIVE: The study investigates the ability of the electronic nose to differentiate between cerebrospinal fluid (CSF) and serum and to identify an unknown specimen as CSF or serum. STUDY DESIGN AND SETTING: CSF and serum specimens were heated and tested with an organic semiconductor-based Cyranose 320 electronic nose (Cyrons Sciences, Pasadena, CA). Data from the 32-element sensor array were subjected to principal component analysis to depict differences in odorant patterns. RESULTS: The electronic nose was able to distinguish between CSF and serum isolates with Mahalanobis distance >5. Furthermore, the electronic nose was able to place unknown specimens in the appropriate class of CSF or serum. CONCLUSIONS: The electronic nose is a novel method that may allow rapid, low cost, and reliable distinction between CSF and serum in a clinical setting. SIGNIFICANCE: Because the results are available almost immediately, the electronic nose is a powerful tool that in the future may allow for rapid diagnosis of CSF leaks in the office setting.

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A Novel Method for the Discrimination of Semen Arecae and Its Processed Products by Using Computer Vision, Electronic Nose, and Electronic Tongue

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2015/753942 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 8

Author(s):

Min Xu ◽

Shi-Long Yang ◽

Wei Peng ◽

Yu-Jie Liu ◽

Da-Shuai Xie ◽

...

Keyword(s):

Computer Vision ◽

Electronic Nose ◽

Electronic Tongue ◽

Principal Component ◽

Accurate Method ◽

Color Parameters ◽

Hydroxymethyl Furfural ◽

Novel Method ◽

Sensory Responses ◽

Processed Products

Areca nut, commonly known locally as Semen Arecae (SA) in China, has been used as an important Chinese herbal medicine for thousands of years. The raw SA (RAW) is commonly processed by stir-baking to yellow (SBY), stir-baking to dark brown (SBD), and stir-baking to carbon dark (SBC) for different clinical uses. In our present investigation, intelligent sensory technologies consisting of computer vision (CV), electronic nose (E-nose), and electronic tongue (E-tongue) were employed in order to develop a novel and accurate method for discrimination of SA and its processed products. Firstly, the color parameters and electronic sensory responses of E-nose and E-tongue of the samples were determined, respectively. Then, indicative components including 5-hydroxymethyl furfural (5-HMF) and arecoline (ARE) were determined by HPLC. Finally, principal component analysis (PCA) and discriminant factor analysis (DFA) were performed. The results demonstrated that these three instruments can effectively discriminate SA and its processed products. 5-HMF and ARE can reflect the stir-baking degree of SA. Interestingly, the two components showed close correlations to the color parameters and sensory responses of E-nose and E-tongue. In conclusion, this novel method based on CV, E-nose, and E-tongue can be successfully used to discriminate SA and its processed products.

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A Novel Method for Generation of a Fingerprint Using Electronic Nose on the Example of Rapeseed Spoilage

Journal of Food Science ◽

10.1111/1750-3841.14400 ◽

2018 ◽

Vol 84 (1) ◽

pp. 51-58 ◽

Cited By ~ 18

Author(s):

Robert Rusinek ◽

Marek Gancarz ◽

Magdalena Krekora ◽

Agnieszka Nawrocka

Keyword(s):

Electronic Nose ◽

Novel Method

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Discrimination of Volatiles of Refined and Whole Wheat Bread Containing Red and White Wheat Bran Using an Electronic Nose

Journal of Food Science ◽

10.1111/j.1750-3841.2012.02952.x ◽

2012 ◽

Vol 77 (11) ◽

pp. S399-S406 ◽

Cited By ~ 12

Author(s):

Harry D. Sapirstein ◽

Silvi Siddhu ◽

Michel Aliani

Keyword(s):

Electronic Nose ◽

Wheat Bran ◽

Wheat Bread ◽

White Wheat ◽

Whole Wheat ◽

Whole Wheat Bread

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Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review

Biosensors ◽

10.3390/bios10080084 ◽

2020 ◽

Vol 10 (8) ◽

pp. 84

Author(s):

Chiara Baldini ◽

Lucia Billeci ◽

Francesco Sansone ◽

Raffaele Conte ◽

Claudio Domenici ◽

...

Keyword(s):

Lung Cancer ◽

Systematic Review ◽

Electronic Nose ◽

Early Stage ◽

Time Saving ◽

Cancer Sample ◽

Wrong Diagnosis ◽

Novel Method ◽

User Friendly ◽

Sample Heterogeneity

Cancer is fast becoming the most important cause of death worldwide, its mortality being mostly caused by late or wrong diagnosis. Novel strategies have been developed to identify early signs of cancer in a minimally obtrusive way, including the Electronic Nose (E-Nose) technology, user-friendly, cost- and time-saving alternative to classical approaches. This systematic review, conducted under the PRISMA guidelines, identified 60 articles directly dealing with the E-Nose application in cancer research published up to 31 January 2020. Among these works, the vast majority reported successful E-Nose use for diagnosing Lung Cancer, showing promising results especially when employing the Aeonose tool, discriminating subjects with Lung Cancer from controls in more than 80% of individuals, in most studies. In order to tailor the main limitations of the proposed approach, including the application of the protocol to advanced stage of cancer, sample heterogeneity and massive confounders, future studies should be conducted on early stage patients, and on larger cohorts, as to better characterize the specific breathprint associated with the various subtypes of cancer. This would ultimately lead to a better and faster diagnosis and to earlier treatment, possibly reducing the burden associated to such conditions.

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