Online conformal prediction for classifying different types of herbal medicines with electronic nose

2018 ◽  
Author(s):  
Xianghao Zhan ◽  
Xiaoqing Guan ◽  
Rumeng Wu ◽  
Zhan Wang ◽  
You Wang ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Herbal Medicines ◽  
Conformal Prediction ◽  
Different Types

scholarly journals Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2936 ◽  
Author(s):  
Xianghao Zhan ◽  
Xiaoqing Guan ◽  
Rumeng Wu ◽  
Zhan Wang ◽  
You Wang ◽  
...  
Keyword(s):  
Herbal Medicine ◽  
Electronic Nose ◽  
Nearest Neighbor ◽  
Herbal Medicines ◽  
Principal Component ◽  
Support Vector ◽  
Linear Discriminant ◽  
Convenient Means ◽  
Electronic Nose System ◽  
Insight Into

As alternative herbal medicine gains soar in popularity around the world, it is necessary to apply a fast and convenient means for classifying and evaluating herbal medicines. In this work, an electronic nose system with seven classification algorithms is used to discriminate between 12 categories of herbal medicines. The results show that these herbal medicines can be successfully classified, with support vector machine (SVM) and linear discriminant analysis (LDA) outperforming other algorithms in terms of accuracy. When principal component analysis (PCA) is used to lower the number of dimensions, the time cost for classification can be reduced while the data is visualized. Afterwards, conformal predictions based on 1NN (1-Nearest Neighbor) and 3NN (3-Nearest Neighbor) (CP-1NN and CP-3NN) are introduced. CP-1NN and CP-3NN provide additional, yet significant and reliable, information by giving the confidence and credibility associated with each prediction without sacrificing of accuracy. This research provides insight into the construction of a herbal medicine flavor library and gives methods and reference for future works.

In Vitro Discrimination of Tumor Cell Lines with an Electronic Nose

2007 ◽  
Vol 137 (2) ◽  
pp. 269-273 ◽  
Author(s):  
Kristin B. Gendron ◽  
Neil G. Hockstein ◽  
Erica R. Thaler ◽  
Anil Vachani ◽  
C. William Hanson
Keyword(s):  
Tumor Cell ◽  
Cell Lines ◽  
Electronic Nose ◽  
Normal Fibroblast ◽  
Tumor Cell Lines ◽  
Upper Aerodigestive Tract ◽  
Mahalanobis Distances ◽  
Different Types ◽  
Components Analysis

OBJECTIVE: The electronic nose is a sensor of volatile molecules that is useful in the analysis of expired gases. Our hypothesis is that the electronic nose can distinguish between different types of upper aerodigestive tract tumor cells in vitro. STUDY DESIGN: Cells from both tumor and normal cell lines were suspended in saline, and a polymer composite electronic nose was used to evaluate the headspace gases. The data were subjected to principal components analysis, and Mahalanobis distances were calculated to demonstrate the ability of the electronic nose to distinguish among samples. RESULTS: The tumor cell lines, including adenocarcinoma, squamous cell carcinoma, and mesothelioma, were distinct from each other, and from the normal fibroblast and smooth muscle cells as seen on canonical discrimination plots. CONCLUSION: The electronic nose can distinguish between tumor cell lines in vitro and has the potential to be a useful screening test for cancer.

scholarly journals Discrimination of Different Types Damage of Tomato Seedling by Electronic Nose

2017 ◽  
Vol 11 ◽  
pp. 01019 ◽  
Author(s):  
Shao-Ming Cheng ◽  
Jun Wang ◽  
Yong-Wei Wang ◽  
Zhen-Bo Wei
Keyword(s):  
Electronic Nose ◽  
Tomato Seedling ◽  
Different Types

scholarly journals Electronic Nose, Tongue and Eye: Their Usefulness for the Food Industry

Revista Vitae ◽  
2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Roberto Ordoñez-Araque ◽  
Johnny Rodríguez-Villacres ◽  
Julio Urresto-Villegas
Keyword(s):  
Mechanism Of Action ◽  
Electronic Nose ◽  
Sensory Analysis ◽  
Food Industry ◽  
Sensory Characteristics ◽  
Inclusion Criteria ◽  
Food Industries ◽  
Different Types ◽  
The Future ◽  
Main Components

Background: The electronic nose, tongue, and eye are futuristic technologies that have been used for many years; they have been gaining market in different types of industries and can increasingly be found in the food area; their function is to determine sensory characteristics (smell, aroma, and flavor) and objective visuals, without the subjectivity that can be represented by sensory analysis by people (the study that can complement the analysis of machines, without being exclusive). Objectives: Find the main generalities of these mechanisms, their sensors, software, mechanism of action, and applications within the food industry. Methods: A search was carried out in the main databases of indexed articles, with terms that allowed collecting the necessary information, and 89 articles were used that met different inclusion criteria. Results: The main outcomes were to understand the operation of each of these technologies, what their main components are, and how they can be linked in the beer, wine, oil, fruit, vegetable, dairy, etc. industry to determine their quality, safety, and fraud. Conclusions: The use of electronic nose, tongue, and eye is found in more food industries every day. Its technology continues to evolve; the future of sensory analysis will undoubtedly apply these mechanisms due to the reliability, speed, and reproducibility of the results.

scholarly journals Effect of Saffron (Crocus sativus L) on Common NonCommunicable Disease: Review from Current Clinical Findings

2021 ◽  
Vol 7 (2) ◽  
pp. 93-108
Author(s):  
Akibul Islam Chowdhury ◽  
◽  
Mohammad Asadul Habib ◽  
Susmita Ghosh ◽  
◽  
...  
Keyword(s):  
English Language ◽  
Herbal Medicines ◽  
Communicable Diseases ◽  
Noncommunicable Disease ◽  
Crocus Sativus ◽  
Cochrane Library ◽  
Active Components ◽  
Medicinal Uses ◽  
Non Communicable Diseases ◽  
Different Types

Background: Due to the high prevalence of NCDs and treatment costs, many medical providers are looking for alternative medications, especially herbal medicine, and some herbal medicines can be used as an effective therapy for the treatment of NCDs. Many studies have shown the effective use of saffron to impede and treat different types of non-communicable diseases. Aim: This current review focuses on the medicinal uses of saffron and current findings relating to the effects of saffron on different types of non-communicable diseases. Methods: Cochrane library, Pub Med, and Google Scholar databases were searched from 2000 to 2020 before September to accumulate current findings with the limitation of the English language. Result: A total of 33 studies (8 human and 25 animalstudies) were identified through searching. Saffron and its active components improved lipid profile along with lowering the risk of cardiovascular disease, hypertension, diabetes, and obesity. Kidney function was also improved by reducing nitrogen urea, urinary citrate, uric acid, etc. Saffron can be also used for treating different types of cancer like prostate cancer, skin cancer, breast cancer, etc. Conclusion: Despite the beneficial effects of saffron on non-communicable diseases, more prospective clinical trials among humans and animals are needed for a better understanding of the effects and mechanisms of saffron and its compounds.

scholarly journals Conformal Prediction Based on K-Nearest Neighbors for Discrimination of Ginsengs by a Home-Made Electronic Nose

Sensors ◽  
2017 ◽  
Vol 17 (8) ◽  
pp. 1869 ◽  
Author(s):  
Zhan Wang ◽  
Xiyang Sun ◽  
Jiacheng Miao ◽  
You Wang ◽  
Zhiyuan Luo ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Nearest Neighbors ◽  
K Nearest Neighbors ◽  
Conformal Prediction

scholarly journals Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chenghao Fei ◽  
Chenchen Ren ◽  
Yulin Wang ◽  
Lin Li ◽  
Weidong Li ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Sensor Array ◽  
Prediction Models ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Stepwise Discriminant Analysis ◽  
Accuracy Rate ◽  
Different Types ◽  
Chemical Content ◽  
Electronic Nose System

AbstractCrataegi Fructus (CF) is widely used as a medicinal and edible material around the world. Currently, different types of processed CF products are commonly found in the market. Quality evaluation of them mainly relies on chemical content determination, which is time and money consuming. To rapidly and nondestructively discriminate different types of processed CF products, an electronic nose coupled with chemometrics was developed. The odour detection method of CF was first established by single-factor investigation. Then, the sensor array was optimised by a stepwise discriminant analysis (SDA) and analysis of variance (ANOVA). Based on the best-optimised sensor array, the digital and mode standard were established, realizing the odour quality control of samples. Meanwhile, mathematical prediction models including the discriminant formula and back-propagation neural network (BPNN) model exhibited good evaluation with a high accuracy rate. These results suggest that the developed electronic nose system could be an alternative way for evaluating the odour of different types of processed CF products.

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