Monitoring of Milk Quality With Disposable Taste Sensor

Sim, Maxsim Yap Mee; Shya, Teo Jau; Ahmad, Mardiana Idayu; Shakaff, Ali Yeon Md; Othman, Abdul Rahim; Hitam, Muhammad Suzuri

doi:10.3390/s30900340

Cited by 34 publications

(18 citation statements)

References 11 publications

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“…The Mobile Crowd-Sensing Network (MCSN) is a novel cyber–physical–social system. In MCSN, humans carry smart devices with sensing and wireless communication capabilities which allow them to collect and upload data to the assessment center for large-scale sensing and community intelligence mining [3,4,5,6,7,8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Maximizing Coverage Quality with Budget Constrained in Mobile Crowd-Sensing Network for Environmental Monitoring Applications

Chen

Yang

2019

Sensors

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The Mobile Crowd-sensing Network is a novel cyber–physical–social network which has received great attention recently and can be used as a powerful tool to monitor the phenomenon of the field of interest. Due to the limited budget, how to choose appropriate participants to maximize the coverage quality is one of the most important issues when the mobile crowd-sensing network applies to practical application, such as air quality monitoring. In this paper, given the number of available participants, the traverse path and the reward of each participant, we investigate the problem of how to choose suitable participants to monitor an environment of a critical region by a crowd-sensing network, while the total rewards for all selected participants is not larger than the limited budget. In our solution, we first divide a big critical region such as a city into smaller regions of different size, and select some sampling points in the smaller region; the collected data of those sampling points represents the collected data of the whole smaller region. Then, we design a greedy algorithm to select participants to cover the maximum sampling points while the total rewards of selected participants does not exceed the limited budget. Finally, we evaluate the validity and efficiency of the proposed algorithm by conducting extensive simulations. The simulation results show that the greedy algorithm outperforms an existing scheme.

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Section: Introductionmentioning

confidence: 99%

Maximizing Coverage Quality with Budget Constrained in Mobile Crowd-Sensing Network for Environmental Monitoring Applications

Chen

Yang

2019

Sensors

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“…On the other hand, potentiometric based devices have also been used for milk assessment. In more detail, Sim et al [12] proposed a disposable screen-printed multi-channel potentiometric E-tongue, with several types of lipid compounds as transducers, to discriminate between fresh and spoiled UHT or pasteurized milk as well as to follow the deterioration of the milk quality when it is stored at room temperature based on PCA. Other researchers [3,13] showed that a miniaturized solid-state potentiometric E-tongue operating either in stationary or flow-through mode, together with SVM or ANN, could be successfully applied to classify UHT milk samples according to brand and fat contents (97% of correctly classified samples belonging to an external test dataset).…”

Section: Introductionmentioning

confidence: 99%

Dairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools

et al. 2018

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This study shows the potential application of a potentiometric electronic tongue coupled with a lab-made DataLogger device for the classification of dairy products according to the type of milk used in their production, i.e., natural, fermented and UHT milk. The electronic tongue device merged a commercial pH electrode and 15 lipid/polymeric membranes, which were obtained by a drop-by-drop technique. The potentiometric signal profiles gathered from the 16 sensors, during the analysis of the 11 dairy products (with ten replicate samples), together with principal component analysis showed that dairy samples could be naturally grouped according to the three types of milk evaluated. To further investigate and verify this capability, a linear discriminant analysis together with a simulated annealing variable selection algorithm was also applied to the electrochemical data, which were randomly split into two datasets, one used for model training and internal-validation using a repeated K-fold cross-validation procedure (with 64% of the data); and the other for external validation purposes (containing the remaining 36% of the data). The multivariate supervised strategy used allowed establishing a classification model, based on the potentiometric information of four sensor lipid membranes, which enabled achieving a successful discrimination rate of 100% for both internal-and external-validation processes. The demonstrated versatility of the built electronic tongue for discriminating dairy products according to the type of milk used in their production combined with its simplicity, low-cost and fast time analysis may envisage a possible future application in dairy industry.

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“…A disposable multichannel screen-printed lipid-based taste sensor was proposed by Sim et al , to control the quality of milk [ 25 ]. The advantages of this taste sensor are its small size, simple construction, and low cost, however, it has a response time of approximately 60 s. Thete et al developed an optochemical fluorometric microspot array to detect various kinds of alcoholic beverages [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

A High Sensitivity IDC-Electronic Tongue Using Dielectric/Sensing Membranes with Solvatochromic Dyes

Khan

Khalilian

Kang

2016

Sensors

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In this paper, an electronic tongue/taste sensor array containing different interdigitated capacitor (IDC) sensing elements to detect different types of tastes, such as sweetness (glucose), saltiness (NaCl), sourness (HCl), bitterness (quinine-HCl), and umami (monosodium glutamate) is proposed. We present for the first time an IDC electronic tongue using sensing membranes containing solvatochromic dyes. The proposed highly sensitive (30.64 mV/decade sensitivity) IDC electronic tongue has fast response and recovery times of about 6 s and 5 s, respectively, with extremely stable responses, and is capable of linear sensing performance (R2 ≈ 0.985 correlation coefficient) over the wide dynamic range of 1 µM to 1 M. The designed IDC electronic tongue offers excellent reproducibility, with a relative standard deviation (RSD) of about 0.029. The proposed device was found to have better sensing performance than potentiometric-, cascoded compatible lateral bipolar transistor (C-CLBT)-, Electronic Tongue (SA402)-, and fiber-optic-based taste sensing systems in what concerns dynamic range width, response time, sensitivity, and linearity. Finally, we applied principal component analysis (PCA) to distinguish between various kinds of taste in mixed taste compounds.

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Monitoring of Milk Quality With Disposable Taste Sensor

Cited by 34 publications

References 11 publications

Maximizing Coverage Quality with Budget Constrained in Mobile Crowd-Sensing Network for Environmental Monitoring Applications

Maximizing Coverage Quality with Budget Constrained in Mobile Crowd-Sensing Network for Environmental Monitoring Applications

Dairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools

A High Sensitivity IDC-Electronic Tongue Using Dielectric/Sensing Membranes with Solvatochromic Dyes

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