Applications of everyday IT and communications devices in modern analytical chemistry: A review

Grudpan, Kate; Kolev, Spas D.; Lapanantnopakhun, Somchai; McKelvie, Ian D.; Wongwilai, Wasin

doi:10.1016/j.talanta.2014.12.042

Cited by 100 publications

(31 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To calculate the detection accuracy, diagonal elements of the confusion matrix are summed and divided by the total number of data points. Precision is calculated by the ratio of true positive events to the sum of true and false positive events as given below: Precision = True Positive ______________________ True Positive + False Positive (2) The sensitivity (recall) is the ratio of true positive to the sum of true positive and false negative:…”

Section: Performance Metricsmentioning

confidence: 99%

“…Smartphone-based analysis has recently emerged as a useful tool, and it has been found to be promising in several fields including point-of-care analyses [1], chemical and biological sensing [2], microscopy and healthcare diagnostics [3], water quality sensing for environment [4][5][6], leaf color analysis for agriculture [7], pH [8,9] and glucose [10] sensing, fluorescent imaging [11], imaging cytometry [12], electrochemical sensing [13], and immunoassays [14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry

Kılıç¹,

Horzum²,

Solmaz³

2020

Color Detection

View full text Add to dashboard Cite

Smartphone-based spectrometer and colorimetry have been gaining relevance due to the widespread advances of devices with increasing computational power, their relatively low cost and portable designs with user-friendly interfaces, and their compatibility with data acquisition and processing for "lab-on-a-chip" systems. They find applications in interdisciplinary fields, including but not limited to medical science, water monitoring, agriculture, and chemical and biological sensing. However, spectrometer and colorimetry designs are challenging tasks in real-life scenarios as several distinctive issues influence the quantitative evaluation process, such as ambient light conditions and device independence. Several approaches have been proposed to overcome the aforementioned challenges and to enhance the performance of smartphone-based colorimetric analysis. This chapter aims at providing researchers with a state-of-the-art overview of smartphone-based spectrometer and colorimetry, which includes hardware designs with 3D printers and sensors and software designs with image processing algorithms and smartphone applications. In addition, assay preparation to mimic the real-life testing environments and performance metrics for quantitative evaluation of proposed designs are presented with the list of new and future trends in this field.

show abstract

Section: Performance Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry

Kılıç¹,

Horzum²,

Solmaz³

2020

Color Detection

View full text Add to dashboard Cite

show abstract

“…Recently, there has been a new approach to achieve the detection of chemical materials by color analysis in different color space, such as RGB, CMYK and L*a*b* space. [36][37][38] The CMYK color model refers to cyan, magenta, yellow, and key (black). The K stands for key because cyan, magenta, and yellow printing plates are carefully aligned with the key of the black plate.…”

Section: Quantitative Analysis Of Opsmentioning

confidence: 99%

Detection of Organophosphorus Pesticides with Colorimetry and Computer Image Analysis

Hou

Lei

et al. 2016

ANAL. SCI.

View full text Add to dashboard Cite

Organophosphorus pesticides (OPs) represent a very important class of pesticides that are widely used in agriculture because of their relatively high-performance and moderate environmental persistence, hence the sensitive and specific detection of OPs is highly significant. Based on the inhibitory effect of acetylcholinesterase (AChE) induced by inhibitors, including OPs and carbamates, a colorimetric analysis was used for detection of OPs with computer image analysis of color density in CMYK (cyan, magenta, yellow and black) color space and non-linear modeling. The results showed that there was a gradually weakened trend of yellow intensity with the increase of the concentration of dichlorvos. The quantitative analysis of dichlorvos was achieved by Artificial Neural Network (ANN) modeling, and the results showed that the established model had a good predictive ability between training sets and predictive sets. Real cabbage samples containing dichlorvos were detected by colorimetry and gas chromatography (GC), respectively. The results showed that there was no significant difference between colorimetry and GC (P > 0.05). The experiments of accuracy, precision and repeatability revealed good performance for detection of OPs. AChE can also be inhibited by carbamates, and therefore this method has potential applications in real samples for OPs and carbamates because of high selectivity and sensitivity.

show abstract

“…In recent years, the development of noninstrumental methods with paper‐based analytical devices (PADs) has emerged as a viable and attractive alternative for rapid and low‐cost analysis [9–14]. In this sense, relevant contributions have been made on fields such as medical diagnosis, food quality control, and environmental analysis [12].…”

Section: Introductionmentioning

confidence: 99%

A paper‐based gas sensor for simultaneous noninstrumental colorimetric detection of nitrite and sulfide in waters

Pena‐Pereira

Matesanz

Lavilla

et al. 2020

J of Separation Science

View full text Add to dashboard Cite

The use of paper-based devices in combination with noninstrumental detection systems is becoming increasingly important in the analytical field due to its simplicity, rapidity, and low cost. However, their use for determination of volatile analyte derivatives is still relatively scarce. The present work reports on the assessment of a paper-based gas-sensing approach for the simultaneous noninstrumental colorimetric detection of nitrite and sulfide. Colorimetric systems based on the Griess and methylene blue assays, formation of colored metallic sulfides, and interaction/reaction with in situ generated metallic nanoparticles were preliminary evaluated. Then, the effect of experimental variables affecting the analytical performance of the paper-based gas sensor was studied with two digitization systems, namely a scanner and a smartphone.Under optimal conditions, the developed system yielded limits of detection of 0.055 and 0.005 mg/L for nitrite and sulfide, respectively. The repeatability, expressed as relative standard deviation, was found to be 5.9 and 6.7% for nitrite and sulfide, respectively. The proposed method was finally applied to the analysis of water samples, showing recoveries in the range of 95-105%. K E Y W O R D Snoninstrumental detection, paper-based analytical devices, scanometric analysis, smartphones, water analysis 1908

show abstract

Applications of everyday IT and communications devices in modern analytical chemistry: A review

Cited by 100 publications

References 68 publications

From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry

From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry

Detection of Organophosphorus Pesticides with Colorimetry and Computer Image Analysis

A paper‐based gas sensor for simultaneous noninstrumental colorimetric detection of nitrite and sulfide in waters

Contact Info

Product

Resources

About