Colorimetric Sensor Array for Qualitative Water Analysis

2009 ◽  
Vol 62 (9) ◽  
pp. 1040 ◽  
Author(s):  
Shu Ann Chan ◽  
Jun-Seok Lee ◽  
Young-Tae Chang
Keyword(s):  
Water Analysis ◽  
Sensor Array ◽  
Tap Water ◽  
Principal Component ◽  
Unsupervised Classification ◽  
Practical Application ◽  
Principal Component Analysis Plot ◽  
Colorimetric Sensor Array ◽  
Simple Tool ◽  
Absorbance Spectra

A chemosensor array comprising 45 off-the-shelf colorimetric dyes, dubbed the Singapore Tongue (SGT), that is capable of discriminating different brands of bottled water and waters of different geographical attribute is described. Twelve kinds of bottled waters were tested by the SGT, and changes of absorbance spectra were analyzed by unsupervised classification methods to validate the SGT system for water analysis. All 12 bottled waters were discriminated at 1 × concentration, and SGT could distinguish the identity of samples of the waters diluted up to 100 times, except distilled waters. Following the study of 63 tap waters in different mass rapid transit stations in Singapore, two distinct clusters were observed from a principal component analysis plot, which correspond to the origin of the tap water. The successful discrimination and identification of in this study demonstrates the practical application of the SGT as a simple tool for water analysis.

scholarly journals Rapid qualitative and quantitative detection of formaldehyde in squids based on colorimetric sensor array

2021 ◽  
Vol 233 ◽  
pp. 02021
Author(s):  
Binbin Guan ◽  
Hongmei Ding ◽  
Bin Chen ◽  
Mi Zhou ◽  
Zhaoli Xue
Keyword(s):  
Sensor Array ◽  
Recognition Rate ◽  
Principal Component ◽  
Colorimetric Sensor ◽  
Quantitative Detection ◽  
Ann Model ◽  
K Nearest Neighbor ◽  
Training Set ◽  
Linear Discriminant ◽  
Colorimetric Sensor Array

The colorimetric sensor array was used to detect the volatile organic compounds (VOCs) in squids with different formaldehyde content. In order to distinguish whether the formaldehyde is artificially added in the squids, the linear discriminant analysis (LDA) and K-nearest neighbor (KNN) based on principal component analysis (PCA) were used to make qualitative judgments, the result shows that the recognition rates of the training set and prediction set of the LDA model were 95% and 85% respectively, and the recognition rates of the training set and prediction set of the KNN model were both 90%. Moreover, error back propagation artificial neural network (BP-ANN) was used to quantitatively predict the concentration of formaldehyde in squids. The result indicates that the BP-ANN model acquired a good recognition rate with the correlation coefficient (Rp) for prediction was 0.9887 when the PCs was 10. To verify accuracy and applicability of the model, paired sample t-test was used to verify the difference between the predicted value of formaldehyde in the BP-ANN model and the actual addition amount. Therefore, this approach showed well potentiality to provide a fast, accuracy, no need for a pretreatment, and low-cost technique for detecting the formaldehyde in squids.

scholarly journals Colorimetric Sensor Array for Monitoring, Modelling and Comparing Spoilage Processes of Different Meat and Fish Foods

Foods ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 684 ◽  
Author(s):  
Lisa Rita Magnaghi ◽  
Federica Capone ◽  
Camilla Zanoni ◽  
Giancarla Alberti ◽  
Paolo Quadrelli ◽  
...  
Keyword(s):  
Sensor Array ◽  
Colour Change ◽  
Principal Component ◽  
Degradation Pathway ◽  
Data Set ◽  
Colorimetric Sensor Array ◽  
Ph Indicators ◽  
Meat Spoilage ◽  
Degradation Pattern ◽  
Commercial Paper

Meat spoilage is a very complex combination of processes related to bacterial activities. Numerous efforts are underway to develop automated techniques for monitoring this process. We selected a panel of pH indicators and a colourimetric dye, selective for thiols. Embedding these dyes into an anion exchange cellulose sheets, i.e., the commercial paper sheet known as “Colour Catcher®” commonly used in the washing machine to prevent colour run problems, we obtained an array made of six coloured spots (here named Dye name-CC@). The array, placed over the tray containing a sample of meat or fish (not enriched at any extend with spoilage products), progressively shows a colour change in the six spots. Photos of the array were acquired as a function of time, RGB indices were used to follow the spoilage, Principal Component Analysis to model the data set. We demonstrate that the array allows for the monitoring the overall spoilage process of chicken, beef, pork and fish, obtaining different models that mimic the degradation pathway. The spoilage processes for each kind of food, followed by the array colour evolution, were eventually compared using three-way PCA, which clearly shows same degradation pattern of protein foods, altered only according to the different substrates.

PENELITIAN DAN PENGEMBANGAN SENSOR AROMATIK SEBAGAI ALAT DETEKSI ALKOHOL PADA PARFUM DAN WEWANGIAN UNTUK AUTENTIKASI PRODUK PARFUM HALAL

2017 ◽  
Vol 18 (2) ◽  
pp. 302-322
Author(s):  
Fajar Hardoyono
Keyword(s):  
Sensor Array ◽  
Principal Component ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Response Patterns ◽  
Data Recording ◽  
Analysis Method ◽  
Sample Group ◽  
Array Pattern ◽  
Group Data

Abstract: The development of aromatic sensor array instrument for the detection of alcohol in perfume. The research was conducted by developing the sensor array using 8 sensors made of metal oxide semiconductor. The sensor types used in this study consisted of TGS 813, TGS 822, TGS 2600, TGS 826, TGS 2611, TGS 2620, TGS 2612 and TGS 2602. Response patterns of 8 sensors formed a sensor array pattern used to detect the aroma of 2 groups of samples perfume made from the essential oil of ginger. The first sample group is pure ginger atsiri oil without mixed alcohol. The second sample group was made from the ginger atsiri oil mixed with alcohol with a level of 0.02 M. The results of the data recording show that the developed instrument is able to dissect the first sample group with the second sample group. Data analysis using principal component analysis method (PCA shows that the instrument is able to distinguish the contaminated alcohol perfume group 0.2 M with the alcohol-free perfume group with 100% accuracy. Keywords: Sensor Aroma, Perfume.

A paper-based colorimetric sensor array for discrimination of monofloral European honeys based on gold nanoparticles and chemometrics data analysis

2021 ◽  
Vol 247 ◽  
pp. 119076
Author(s):  
Mahsa Chaharlangi ◽  
Javad Tashkhourian ◽  
Mohammad Mahdi Bordbar ◽  
Rebecca Brendel ◽  
Philipp Weller ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Data Analysis ◽  
Sensor Array ◽  
Colorimetric Sensor ◽  
Colorimetric Sensor Array

scholarly journals Magnetron Sputtering Thin Films as Tool to Detect Triclosan in Infant Formula Powder: Electronic Tongue Approach

Coatings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 336
Author(s):  
Cátia Magro ◽  
Margarida Sardinha ◽  
Paulo A. Ribeiro ◽  
Maria Raposo ◽  
Susana Sério
Keyword(s):  
Thin Films ◽  
Infant Formula ◽  
Tap Water ◽  
Milk Powder ◽  
Electronic Tongue ◽  
Principal Component ◽  
Formula Milk ◽  
Straight Line ◽  
Multi Walled Carbon Nanotubes ◽  
Walled Carbon Nanotubes

Triclosan (TCS) is being detected in breast milk and in infants of puerperal women. The harmful effects caused by this compound on living beings are now critical and thus it is pivotal find new tools to TCS monitoring. In the present study, an electronic tongue (e-tongue) device comprising an array of sputtered thin films based on Multi-Walled Carbon Nanotubes and titanium dioxide was developed to identify TCS concentrations, from 10−15 to 10−5 M, in both water and milk-based solutions. Impedance spectroscopy was used for device signal transducing and data was analyzed by principal component analysis (PCA). The e-tongue revealed to be able to distinguish water from milk-based matrices through the two Principal Components (PC1 and PC2), which represented 67.3% of the total variance. The PC1 values of infant formula milk powder prepared with tap water (MT) or mineral water (MMW) follows a similar exponential decay curve when plotted with the logarithm of concentration. Therefore, considering the TCS concentration range between 1015 and 10−9 M, the PC1 values are fitted by a straight line and values of −1.9 ± 0.2 and of 7.6 × 10−16 M were calculated for the sensor sensitivity and sensor resolution, respectively. Additionally, a strong correlation (R = 0.96) between MT and MMW PC1 data was found. These results have shown that the proposed device corresponds to a promisor method for the detection of TCS in milk-based solutions.

Identification of accelerants, fuels and post-combustion residues using a colorimetric sensor array

The Analyst ◽  
2015 ◽  
Vol 140 (17) ◽  
pp. 5929-5935 ◽  
Author(s):  
Zheng Li ◽  
Minseok Jang ◽  
Jon R. Askim ◽  
Kenneth S. Suslick
Keyword(s):  
Sensor Array ◽  
Colorimetric Sensor ◽  
Colorimetric Sensor Array ◽  
Detection And Identification ◽  
Combustion Residues

A linear (1 × 36) colorimetric sensor array has been integrated with a pre-oxidation technique for detection and identification of a variety of fuels and post-combustion residues.

Combinatorial selectivity with an array of phthalocyanines functionalized TiO2/ZnO heterojunction thin film sensors

2021 ◽  
Author(s):  
Yuvaraj Sivalingam ◽  
Gabriele Magna ◽  
Ramji Kalidoss ◽  
Sarathbavan Murugan ◽  
David Chidambaram ◽  
...  
Keyword(s):  
Sensor Array ◽  
Principal Component ◽  
Optically Active ◽  
Inorganic Materials ◽  
Chemical Sensitivity ◽  
Electronic Noses ◽  
Thin Film Sensors ◽  
Sensor Resistance ◽  
Virtual Array ◽  
Hydrogen Bond Basicity

Abstract The development of electronic noses requires the control of the selectivity pattern of each sensor of the array. Organic chemistry offers a manifold of possibilities to this regard but in many cases the chemical sensitivity is not matched with the response of electronic sensor. The combination of organic and inorganic materials is an approach to transfer the chemical sensitivities of the sensor to the measurable electronic signals. In this paper, this approach is demonstrated with a hybrid material made of phthalocyanines and a bilayer structure of ZnO and TiO2. Results show that the whole spectrum of sensitivity of phthalocyanines results in changes of the resistance of the sensor, and even the adsorption of compounds, such as hexane, which cannot change the resistance of pure phthalocyanine layers, elicits changes of the sensor resistance. Furthermore, since phthalocyanines are optically active, the sensitivity in dark and visible light are different. Thus, operating the sensor in dark and light two different signals per sensors can be extracted. As a consequence, an array of 3 sensors made of different phthalocyanines results in a virtual array of six sensors. The sensor array shows a remarkable selectivity respect to a set of test compounds. Principal component analysis scores plot illustrates that hydrogen bond basicity and dispersion interaction are the dominant mechanisms of interaction.

Research on the reaction mechanism of colorimetric sensor array with characteristic volatile gases-TMA during fish storage

2018 ◽  
Vol 42 (1) ◽  
pp. e12952 ◽  
Author(s):  
Riqin Lv ◽  
Xingyi Huang ◽  
Weitao Ye ◽  
Joshua Harrington Aheto ◽  
Haixia Xu ◽  
...  
Keyword(s):  
Reaction Mechanism ◽  
Sensor Array ◽  
Colorimetric Sensor ◽  
Colorimetric Sensor Array

Colorimetric Sensor Array for Monitoring CO and Ethylene

2018 ◽  
Vol 91 (1) ◽  
pp. 797-802 ◽  
Author(s):  
Zheng Li ◽  
Kenneth S. Suslick
Keyword(s):  
Sensor Array ◽  
Colorimetric Sensor ◽  
Colorimetric Sensor Array
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