Handheld colorimeter for determination of heavy metal concentrations

A portable instrument that measures heavy metal concentration from a colorimetric sensor array is presented. The use of eight sensing membranes, placed on a plastic support, allows to obtain the hue component of the HSV colour space of each one in order to determinate the concentration of metals present in a solution. The developed microcontroller-based system captures, in an ambient light environment, an image of the sensor array using an integrated micro-camera and shows the picture in a touch micro-LCD screen which acts as user interface. After image-processing of the regions of interest selected by the user, colour and concentration information are displayed on the screen

Computer Vision-Based Portable System for Nitroaromatics Discrimination

A computer vision-based portable measurement system is presented in this report. The system is based on a compact reader unit composed of a microcamera and a Raspberry Pi board as control unit. This reader can acquire and process images of a sensor array formed by four nonselective sensing chemistries. Processing these array images it is possible to identify and quantify eight different nitroaromatic compounds (both explosives and related compounds) by using chromatic coordinates of a color space.The system is also capable of sending the obtained information after the processing by aWiFi link to a smartphone in order to present the analysis result to the final user.The identification and quantification algorithm programmed in theRaspberry board is easy and quick enough to allow real time analysis. Nitroaromatic compounds analyzed in the range of mg/L were picric acid, 2,4-dinitrotoluene (2,4-DNT), 1,3-dinitrobenzene (1,3-DNB), 3,5-dinitrobenzonitrile (3,5-DNBN), 2-chloro-3,5-dinitrobenzotrifluoride (2-C-3,5-DNBF), 1,3,5-trinitrobenzene (TNB), 2,4,6-trinitrotoluene (TNT), and tetryl (TT)

SARS-CoV-2 viral RNA detection using the novel CoVradar device associated with the CoVreader smartphone app

Supplementary data to this article can be found online at https://doi. org/10.1016/j.bios.2023.115268The COVID-19 pandemic has highlighted the need for innovative approaches to its diagnosis. Here we present CoVradar, a novel and simple colorimetric method that combines nucleic acid analysis with dynamic chemical labeling (DCL) technology and the Spin-Tube device to detect SARS-CoV-2 RNA in saliva samples. The assay includes a fragmentation step to increase the number of RNA templates for analysis, using abasic peptide nucleic acid probes (DGL probes) immobilized to nylon membranes in a specific dot pattern to capture RNA fragments. Duplexes are formed by labeling complementary RNA fragments with biotinylated SMART bases, which act as templates for DCL. Signals are generated by recognizing biotin with streptavidin alkaline phosphatase and incubating with a chromogenic substrate to produce a blue precipitate. CoVradar results are analysed by CoVreader, a smartphone-based image processing system that can display and interpret the blotch pattern. CoVradar and CoVreader provide a unique molecular assay capable of detecting SARS-CoV-2 viral RNA without the need for extraction, preamplification, or pre-labeling steps, offering advantages in terms of time (similar to 3 h/test), cost (similar to epsilon 1/test manufacturing cost) and simplicity (does not require large equipment). This solution is also promising for developing assays for other infectious diseases.FEDER/Junta de Andalucia-Consejeria de Economia y Conocimiento CV20-77741, A-FQM-760-UGR20, PID 2019-110987RB-I00, PID 2019-103938RB-I00Spanish MCIN/AEI P18-RT-2961, P18-TP-4160FEDER/Junta de Andalucia-Consejeria de Salud y Familias PIP-0232-2021European CommissionMCIN/AEI PTQ 2020-011388, IJC 2020-043307-IEuropean Union NextGenerationEU/PRTR PTQ 2020-011388, IJC 2020-043307-

Determination of o2 using colour sensing from image processing with mobile devices

This paper presents a portable instrument designed and characterized for the determination of gaseous oxygen. It is based on quenching the luminescence intensity of the platinum octaethylporphyrin complex when it is excited, using a light-emitting diode (LED) with an emission peak at 380 nm. The luminescence emitted by the platinum complex is detected by taking an image with a colour CCD micro-camera integrated in the prototype which makes it possible to do a two-dimensional analysis of the luminescence. This image is processed by a microcontroller to obtain the red colour component of the RGB colour space, thus discarding any unnecessary colour information. The processing is carried out for the pixels over a large area of the sensing membrane, which allows for a statistical treatment of the obtained data. The measured R-value for the membrane can be directly related to the concentration of the surrounding oxygen. The resulting instrument has been fully characterized and calibrated, including drifts due to temperature and time. In addition, an application for Android camera devices such as smartphones was developed in order to use them as detectors and image processors to provide a prediction of the gaseous oxygen concentration.Ministerio de Ciencia e Innovación, Dirección General de Investigación y Gestión del Plan Nacional de I+D+i (Spain) (Projects CTQ2009-14428-C02-01 and CTQ2009-14428-C02-02)Junta de Andalucía (Proyectos de Excelencia P08-FQM- 3535 and P10-TIC-5997)European Regional Development Funds (ERDF

Thermoelectric Energy Harvesting for Oxygen Determination in Refrigerated Intelligent Packaging

In this paper, we present a passive tag for the determination of gaseous oxygen in intelligent packaging (IP). The power supply for this tag is obtained from thermoelectric energy harvesting taking advantage of the temperature difference between a cooled package and the human body. For this purpose, a compact Peltier module is attached to the surface of the pack7 age. This device is able to generate 1.2 mW when a temperature difference of 25 °C is applied between its surfaces. A dc-to-dc boost converter is included to generate an output voltage of 3.3 V and an output current of 225 µA from the harvested energy by the Peltier cell, which are used to supply the measurement circuitry. A luminescent membrane sensitive to oxygen is used as a gas detector in the package. The generated signal is compared to a reference value to evaluate if the oxygen concentration inside the package falls below or above a predetermined value. This is shown by turning on a green or a red LED, respectively. The proposed system presents a resolution of 0.02% of the predicted oxygen concentration in the range of interest (0%–5%) and a limit of detection (LOD) of 0.007%, which makes the instrument appropriate to be used in IP and active packaging (AP) technology.This work was supported in part by the Spanish Ministry of Economics and Competivity under Project CTQ2016-78754-C2-1-R and in part by the Unidad de Excelencia de Química aplicada a biomedicina y medioambiente, University of Granada. The work of P. E. Araque was supported by the Spanish Ministry of Education, Culture and Sport (MECD) under Grant FPU13/05032. The work of I. M. P. de Vargas-Sansalvador was supported by the European Unions Horizon 2020 research and innovation program under Grant 706303 (MultiSens

WEARABLE DEVICE FOR REAL TIME pH MEASUREMENT IN SWEAT

Nowadays, it is more and more common to find devices that permits to everybody carry out analysis of different analytes of interest as glucose in blood or creatinine in urine by themselves, thanks to the development of the Point-of-Care (POC) devices. POC’s permit the in situ analysis of the samples, in an easy way, quickly and by the use of a small amount of sample in the sampling area of the device, obtaining result with no need of instrumentation or by the use of a very simple one. In order to match these objectives and make the device useful for everybody in any condition, the WHO has described the ASSURED guidelines for the POC devices[1]. In the recent years, and thanks to the capillary properties of different materials as paper, thread or cloth, the development of the POC devices are turning to a new strategy that implies the inclusion of the POC devices in t-shirts, bracelets or patches obtaining in this way wearables sensors. In this kind of sensor, instead of the addition of the sample in the sampling area, it moves through the device arriving to recognition/transduction area were the property of the sensor changes and can be measured and related to the concentration of the analyte. In this work, we present a wearable POC that permits the real-time determination of the pH in sweat. For this purpose, we have developed a μCAD (Figure) that contains a pH indicator (4-[4-(2-hydroxyethanesulfonyl)-phenylazo]-2,6-dimethoxyphenol (GJM-534) [2]) covalently immobilized on cotton cloth, which color is going to change from yellow (pH around 6) to pink (pH around 9) depending on the pH. The size and shape of the μCAD (see Figure) was designed taking into account the low flow rate of sweat generated in the wrist when sweating (0.01 μL/min) including a superabsorbent material working as passive pump to avoid the saturation of sample of the μCAD. The colorimetric device was calibrated using the H parameter from the HSV color space as analytical parameter, obtaining the calibration function and analytical parameters of the device, the reversibility of the μCAD, response time and stability. Finally, the μCAD was integrated into a bracelet that includes a color detector and a microprocessor that registered the color of the μCAD in real-time and send the information via Bluetooth to a smartphone, obtaining and registering the pH of the sweat while doing exercise.This study was supported by project from the Spanish MINECO (CTQ2016-78754-C2-1-R)

Thread based microfluidic platform for urinary creatinine analysis

Creatinine level in urine is a key factor to monitor kidney performance. The use of an alternative microfluidic platform based on cellulose substrates is an interesting option to integrate sample treatment, creatinine re- cognition by ionophore extraction chemistry and quantification by color measurement through consumer electronics imaging devices. The inclusion of ionophore extraction chemistry based on aryl-substituted calix[4] pyrrole synthetic receptor on 8.7 mm long cotton thread permit the sample treatment, optical recognition of creatinine and their quantification by smartphone running app in unfiltered urine samples diluted 1:100 ratio. The device shows a short response time, 30 s, to creatinine over a wide dynamic range (from 1.6× 10 6 to 5 10–2 M) with precision between 2.9–4.3%. The low interference level of representative species in urine is studied and justified by density functional theory (DFT) calculations.“Ministerio de Economía y Competitividad” under Project CTQ2016-78754-C2-1-

Capacitive platform for real-time wireless monitoring of liquid wicking in a paper strip

Understanding the phenomenon of liquid wicking in porous media is crucial for various applications, including the transportation of fluids in soils, the absorption of liquids in textiles and paper, and the development of new and efficient microfluidic paper-based analytical devices (μPADs). Hence, accurate and real-time monitoring of the liquid wicking process is essential to enable precise flow transport and control in microfluidic devices, thus enhancing their performance and usefulness. However, most existing flow monitoring strategies require external instrumentation, are generally bulky and unsuitable for portable systems. In this work, we present a portable, compact, and cost-effective electronic platform for real-time and wireless flow monitoring of liquid wicking in paper strips. The developed microcontroller-based system enables flow and flow rate monitoring based on the capacitance measurement of a pair of electrodes patterned beneath the paper strip along the liquid path, with an accuracy of 4 fF and a full-scale range of 8 pF. Additionally to the wired transmission of the monitored data to a computer via USB, the liquid wicking process can be followed in real-time via Bluetooth using a custom-developed smartphone application. The performance of the capacitive monitoring platform was evaluated for different aqueous solutions (purified water and 1 M NaCl solution), various paper strip geometries, and several custom-made chemical valves for flow retention (chitosan-, wax-, and sucrose-based barriers). The experimental validation delivered a full-scale relative error of 0.25%, resulting in an absolute capacitance error of ±10 fF. In terms of reproducibility, the maximum uncertainty was below 10 nl s−1 for flow rate determination in this study. Furthermore, the experimental data was compared and validated with numerical analysis through electrical and flow dynamics simulations in porous media, providing crucial information on the wicking process, its physical parameters, and liquid flow dynamics

Smart facemask for wireless CO2 monitoring

This study was funded by Spanish MCIN/AEI/10.13039/501100011033/ (Projects PID2019-103938RB-I00 and ECQ2018-004937-P) and Junta de Andalucía (Projects B-FQM-243-UGR18, P18-RT-2961 and postdoctoral grant of PE DOC_00520). The projects were partially supported by European Regional Development Funds (ERDF).Source codes for microcontroller firmware (developed with MPLAB X IDE v5.45) and AndroidTM smartphone application (SmartMask v1.0) are available at an open-access repository (URI: http://hdl.handle.net/10481/71668) under a Creative Commons license.The use of facemasks by the general population is recommended worldwide to prevent the spread of SARS-CoV-2. Despite the evidence in favour of facemasks to reduce community transmission, there is also agreement on the potential adverse effects of their prolonged usage, mainly caused by CO2 rebreathing. Herein we report the development of a sensing platform for gaseous CO2 real-time determination inside FFP2 facemasks. The system con- sists of an opto-chemical sensor combined with a flexible, battery-less, near-field-enabled tag with resolution and limit of detection of 103 and 140 ppm respectively, and sensor lifetime of 8 h, which is comparable with recommended FFP2 facemask usage times. We include a custom smartphone application for wireless powering, data processing, alert management, results displaying and sharing. Through performance tests during daily activity and exercise monitoring, we demonstrate its utility for non-invasive, wearable health assessment and its potential applicability for preclinical research and diagnostics.B-FQM-243-UGR18 Consejeria de Economia, Innovacion, Ciencia y Empleo, Junta de Andalucia (Ministry of Economy, Innovation, Science and Employment, Government of Andalucia)P18-RT-2961 Consejeria de Economia, Innovacion, Ciencia y Empleo, Junta de Andalucia (Ministry of Economy, Innovation, Science and Employment, Government of Andalucia)DOC_00520 Consejeria de Economia, Innovacion, Ciencia y Empleo, Junta de Andalucia (Ministry of Economy, Innovation, Science and Employment, Government of Andalucia

Smartphone-Based Diagnosis of Parasitic Infections With Colorimetric Assays in Centrifuge Tubes

A smartphone-based platform for the diagnosis of parasitic infections has been developed, tested and validated. The system is capable of making automatic and accurate analysis of millimetric colorimetric arrays in centrifuge collection tubes, which are well established tools used in clinical analysis. To that end, an Android-based software application has been developed, making use of the smartphone rear camera, enabling precise image processing of the colorimetric spot arrays. A low-cost plastic accessory has been developed using 3D-printing to provide controlled illumination, xed sample positioning and cell phone attachment. The platform was then tested repeatedly for its size detection, edge blurriness and colour detection capabilities. A minimum spot radius of 175 m is detectable when using the developed app, with a tolerance of 15%, corresponding to 0.25%of the area where the spot array is printed. Spot edge de nition has been studied up to 40% of blurriness, resulting in a low average percentage error of 1.24%. Colour detection follows the well-known Gamma correction function. Finally, the whole platform was tested and validated using real DNA to analyse for accurate discrimination of Trypanosomatid species, which are responsible for devastating diseases in humans and livestock. The smartphone-based platform can be further extended to other clinical analysis. Its simplicity and reliable performance mean it can be used in remote, limited-resource settings by relatively unskilled technicians/nurses, where diagnostic laboratories are sparsely distributed. The results can however be sent easily via the smartphone to medical experts as well as government health agencies.This work was supported in part by the Spanish Ministry of Economics and Competitivity under Project CTQ2016-78754-C2-1-R, in part by the European Regional Development Fund (ERDF), and in part by the DestiNA Genomica SL provided reagents, samples and Spin-Tube devices. The work of P. Escobedo was supported by the Spanish Ministry of Education, Culture and Sport (MECD), under Grant (FPU13/05032)