Identification of the Rice Wines with Different Marked Ages by Electronic Nose Coupled with Smartphone and Cloud Storage Platform

Abstract

In this study, a portable electronic nose (E-nose) was self-developed to identify rice wines with different marked ages—all the operations of the E-nose were controlled by a special Smartphone Application. The sensor array of the E-nose was comprised of 12 MOS sensors and the obtained response values were transmitted to the Smartphone thorough a wireless communication module. Then, Aliyun worked as a cloud storage platform for the storage of responses and identification models. The measurement of the E-nose was composed of the taste information obtained phase (TIOP) and the aftertaste information obtained phase (AIOP). The area feature data obtained from the TIOP and the feature data obtained from the TIOP-AIOP were applied to identify rice wines by using pattern recognition methods. Principal component analysis (PCA), locally linear embedding (LLE) and linear discriminant analysis (LDA) were applied for the classification of those wine samples. LDA based on the area feature data obtained from the TIOP-AIOP proved a powerful tool and showed the best classification results. Partial least-squares regression (PLSR) and support vector machine (SVM) were applied for the predictions of marked ages and SVM (R2 = 0.9942) worked much better than PLSR.

Freshness Evaluation of Three Kinds of Meats Based on the Electronic Nose

“…In recent years, because of the development of intelligent sensory technology, electronic sensory equipment such as electronic tongues and electronic noses has shown good applicability in the detection area [10]. Based on its advantages of rapid and non-destructive detection, electronic noses have been widely used in many kinds of food evaluation, including wine discrimination [11,12,13,14,15,16], fruit quality detection [17,18,19,20,21,22,23] and meat evaluation [24,25,26,27,28,29]. Based on the previous application, we believe that the electronic nose can be used to detect the different kinds of gases produced by meat with different freshness status.…”

A Prototype to Detect the Alcohol Content of Beers Based on an Electronic Nose

“…[7,8,9,10,11]. In addition, e-noses can also be applied to the monitoring of air quality [12,13,14,15,16,17,18], of gases emitted by the soil [1,19,20,21], in the evaluation of the food quality [22,23,24], the quality of wine [25,26], medical applications [27,28,29,30], among others.…”

Loop-mediated isothermal amplification (LAMP) – review and classification of methods for sequence-specific detection

“…186 In addition, novel technologies in the eld of electrochemical detection make use of smartphones for signal processing and data transmission. [187][188][189] Generally speaking, the combination of eld-friendly LAMP and smart devices is a forward-looking approach that has the potential to bring diagnostics even closer to the patient.…”