Relevant bibliographies by topics / Smartphone colorimetric detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Smartphone colorimetric detection'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Smartphone colorimetric detection"

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Mahdi, Neda Ibrahem. "Determination of azo dyes using Smartphone Digital Image." Al-Mustansiriyah Journal of Science 34, no. 3 (2023): 43–49. http://dx.doi.org/10.23851/mjs.v34i3.1352.

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The development of an economical and simple colorimetric system based on a smartphone camera and image processing was included in this study. This method was applied to determine three azo dyes namely: Methyl Blue (M.B), Methyl Red (M.R) and Methyl Orange (M.O) using the smartphone's camera as a detector. The results of the radar diagrams were giving a good agreement with the results of the calibration curves which were built using data of RGB for each dye. For establishing the accuracy and precision of this method, a classical method (spectrophotometric) was used for validation. This advancem
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Wang, Yi, Xiaohu Liu, Peng Chen, et al. "Smartphone spectrometer for colorimetric biosensing." Analyst 141, no. 11 (2016): 3233–38. http://dx.doi.org/10.1039/c5an02508g.

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Vucāne, Sanita, Ingmars Cinkmanis, and Mārtiņš Šabovics. "Colorimetric Measurements of Vegetable Oils by Smartphone-Based Image Analysis." Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences. 76, no. 1 (2022): 110–15. http://dx.doi.org/10.2478/prolas-2022-0017.

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Abstract One of the most important indicators of quality of vegetable oils is colour, which can be detected with colorimetric measurements. The determination of colour is traditionally done using colorimeters, spectrometers, tintometers, and other analytical equipment. As an alternative to replace the classical analytical methods, smartphone-based colorimetry using digital image analysis can be used. For colorimetric detection of colour in vegetable oils, a Huawei P30 lite smartphone and android application “Colour Picker” with an image matching algorithm RGB model was used. The image of sampl
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Meza López, Flor de Liss Meza, Christian Jacinto Hernández, Jaime Vega-Chacón, et al. "Smartphone-Based Rapid Quantitative Detection Platform with Imprinted Polymer for Pb (II) Detection in Real Samples." Polymers 16, no. 11 (2024): 1523. http://dx.doi.org/10.3390/polym16111523.

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This paper reports the successful development and application of an efficient method for quantifying Pb2+ in aqueous samples using a smartphone-based colorimetric device with an imprinted polymer (IIP). The IIP was synthesized by modifying the previous study; using rhodizonate, 2-acrylamido-2-methylpropane sulfonic acid (AMPS), N,N′-methylenebisacrylamide (MBA), and potassium persulfate (KPS). The polymers were then characterized. An absorption study was performed to determine the optimal conditions for the smartphone-based colorimetric device processing. The device consists of a black box (10
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Mutlu, Ali Y., Volkan Kılıç, Gizem Kocakuşak Özdemir, Abdullah Bayram, Nesrin Horzum, and Mehmet E. Solmaz. "Smartphone-based colorimetric detection via machine learning." Analyst 142, no. 13 (2017): 2434–41. http://dx.doi.org/10.1039/c7an00741h.

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Krishnan, Tushar, Hsin-Neng Wang, and Tuan Vo-Dinh. "Smartphone-Based Device for Colorimetric Detection of MicroRNA Biomarkers Using Nanoparticle-Based Assay." Sensors 21, no. 23 (2021): 8044. http://dx.doi.org/10.3390/s21238044.

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The detection of microRNAs (miRNAs) is emerging as a clinically important tool for the non-invasive detection of a wide variety of diseases ranging from cancers and cardiovascular illnesses to infectious diseases. Over the years, miRNA detection schemes have become accessible to clinicians, but they still require sophisticated and bulky laboratory equipment and trained personnel to operate. The exceptional computing ability and ease of use of modern smartphones coupled with fieldable optical detection technologies can provide a useful and portable alternative to these laboratory systems. Herei
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Liu, Junjie, Qingfubo Geng, and Zhaoxin Geng. "A Route to the Colorimetric Detection of Alpha-Fetoprotein Based on a Smartphone." Micromachines 15, no. 9 (2024): 1116. http://dx.doi.org/10.3390/mi15091116.

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Alpha-fetoprotein (AFP) is a key marker for early cancer detection and assessment. However, the current detection methods struggle to balance accuracy with the need for decentralized medical treatment. To address this issue, a new AFP analysis platform utilizing digital image colorimetry has been developed. Functionalized gold nanoparticles act as colorimetric agents, changing from purple-red to light gray-blue when exposed to different AFP concentrations. A smartphone app captures these color changes and calculates the AFP concentration in the sample. To improve detection accuracy, a hardware
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Yang, Di, Jiao Ran, Huafei Yi, Pujin Feng, and Bingqian Liu. "A Homogeneous Colorimetric Strategy Based on Rose-like CuS@Prussian Blue/Pt for Detection of Dopamine." Sensors 23, no. 22 (2023): 9029. http://dx.doi.org/10.3390/s23229029.

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The development of effective methods for dopamine detection is critical. In this study, a homogeneous colorimetric strategy for the detection of dopamine based on a copper sulfide and Prussian blue/platinum (CuS@PB/Pt) composite was developed. A rose-like CuS@PB/Pt composite was synthesized for the first time, and it was discovered that when hydrogen peroxide was present, the 3,3′,5,5′-tetramethylbenzidine (TMB) changed from colorless into blue-oxidized TMB. The CuS@PB/Pt composite was characterized with a scanning electron microscope (SEM), an energy dispersive spectrometer (EDS), and an X-ra
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Kap, Özlem, Volkan Kılıç, John G. Hardy, and Nesrin Horzum. "Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes." Analyst 146, no. 9 (2021): 2784–806. http://dx.doi.org/10.1039/d0an02031a.

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Smartphone-based colorimetric glucose detection methods have the advantageous combination of software and hardware systems that will revolutionize the concept of smartphone-based platforms from glucose measurement to personal health management.
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Zhang, Wei-Yi, Tao Tian, Li-Jing Peng та ін. "A Paper-Based Analytical Device Integrated with Smartphone: Fluorescent and Colorimetric Dual-Mode Detection of β-Glucosidase Activity". Biosensors 12, № 10 (2022): 893. http://dx.doi.org/10.3390/bios12100893.

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In this work, indoxyl-glucoside was used as the substrate to develop a cost-effective, paper-based analytical device for the fluorescent and colorimetric dual-mode detection of β-glucosidase activity through a smartphone. The β-glucosidase can hydrolyze the colorless substrate indoxyl-glucoside to release indoxyl, which will be self-oxidized to generate green products in the presence of oxygen. Meanwhile, the green products emit bright blue-green fluorescence under ultraviolet–visible light irradiation at 365 nm. Fluorescent or colorimetric images were obtained by a smartphone, and the red-gre
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Dissertations / Theses on the topic "Smartphone colorimetric detection"

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"Point of Care Detection of Iron Metabolism Parameters Through Colorimetric Sensing." Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.62727.

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abstract: Abnormally low or high blood iron levels are common health conditions worldwide and can seriously affect an individual’s overall well-being. A low-cost point-of-care technology that measures blood iron markers with a goal of both preventing and treating iron-related disorders represents a significant advancement in medical care delivery systems. Methods: A novel assay equipped with an accurate, storable, and robust dry sensor strip, as well as a smartphone mount and (iPhone) app is used to measure total iron in human serum. The sensor strip has a vertical flow design and is based on
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Book chapters on the topic "Smartphone colorimetric detection"

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Das, Priyanka, Biprav Chetry, and Pabitra Nath. "Smartphone-Based Colorimetric Analyzer for Detection of Phosphate in Water." In Springer Proceedings in Physics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5141-0_35.

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Kılıç, Volkan, Nesrin Horzum, and Mehmet Ertugrul Solmaz. "From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry." In Color Detection. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.82227.

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Karakuş, Selcan, Tarık Küçükdeniz, Savaş Evran, and Mustafa Kurt. "Current Developments in Biosensor Applications and Smart Strategies." In Current Developments in Biosensor Applications and Smart Strategies [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1009461.

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Recent advances in biosensors have been driven by growing interest in biotechnological solutions. By transforming analyte concentrations into electrical impulses, these sensors assess biological elements such as proteins, enzymes, viruses, glucose, and adrenaline. Applications, including heavy metal ion analysis, drug testing, and biomarker detection, are perfect for them. This book chapter will explore sensitive biological systems that can be integrated with transducers using diverse physical and chemical methods in biosensor applications. It will also discuss various classifications of biosensors, including electrochemical, thermal, electrical, optical, biological, magnetic, mechanical, and colorimetric. Electrochemical biosensors generate electrical signals from enzymatic reactions, offering benefits like ease of use, low production costs, and the ability to detect various biomolecules. The advantages of nanomaterial-based sensors will also be thoroughly examined. Moreover, recent developments in colorimetric biosensors utilizing smartphones—equipped with optical imaging systems and various sensors like heart rate monitors and fingerprint scanners—highlight their potential. With their data processing and image capture capabilities, smartphones are positioned to enhance the functionality of colorimetric biosensors. This chapter reviews the latest advancements and current approaches in biosensor development.
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Conference papers on the topic "Smartphone colorimetric detection"

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Vucane, Sanita, Martins Sabovics, Lauris Leitans, and Ingmars Cinkmanis. "Smartphone-based colorimetric determination of DPPH free radical scavenging activity in vegetable oils." In Research for Rural Development 2020. Latvia University of Life Sciences and Technologies, 2020. http://dx.doi.org/10.22616/rrd.26.2020.016.

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Free radicals can rapidly and irreversibly oxidize various structures, including unsaturated fatty acids in vegetable oils, which affect the sensory properties. Spectrophotometry is the most widely used method for the determination of free radical scavenging activity (RSA) using 2,2-diphenyl-1-picrylhydrazyl (DPPH). Barrier to the further use of classical analytical methods to analyze biologically active compounds in foodstuffs is that equipment requires high cost and has limited mobility. One of solutions is to replace classical methods, such as spectroscopy, with smartphonebased colorimetry.
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Singhal, Sarthak, Prabhat Ralhan, and Nishtha Jatana. "Smartphone-based colorimetric detection to measure Blood Glucose Levels." In 2015 Eighth International Conference on Contemporary Computing (IC3). IEEE, 2015. http://dx.doi.org/10.1109/ic3.2015.7346691.

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Bhatt, Sunita, Vijay Prabhakar, Richa Gupta, and Satish Kumar Dubey. "Smartphone Camera and Geometry Setting in Colorimetric Measurement for analyte detection." In 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). IEEE, 2024. http://dx.doi.org/10.1109/edtm58488.2024.10511751.

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Kilic, Volkan, and Mustafa Sen. "Smartphone-based Colorimetric Analysis for the Detection of H2O2 Using a ¼PAD." In 2019 Medical Technologies Congress (TIPTEKNO). IEEE, 2019. http://dx.doi.org/10.1109/tiptekno.2019.8895188.

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Karisen, Haakon, and Tao Dong. "Illumination and device independence for colorimetric detection of urinary biomarkers with smartphone." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591895.

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Krishnan, Tushar, Ren A. Odion, Hsin-Neng Wang, and Tuan Vo-Dinh. "Colorimetric detection of microRNA biomarkers using plasmonic nanoplatforms on a smartphone (Conference Presentation)." In Plasmonics in Biology and Medicine XX, edited by Tuan Vo-Dinh, Ho-Pui A. Ho, and Krishanu Ray. SPIE, 2023. http://dx.doi.org/10.1117/12.2650585.

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Esteves, Matheus, Jaione Tirapu-Azpiroz, Daniel Vitor Lopes Marcondes Marçal, Ademir Ferreira Silva, Ricardo Ohta, and Mathias Steiner. "Illumination compensation algorithm for colorimetric detection of microfluidic paper-based devices with a smartphone." In Optical Diagnostics and Sensing XXI: Toward Point-of-Care Diagnostics, edited by Gerard L. Coté. SPIE, 2021. http://dx.doi.org/10.1117/12.2578441.

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Golcez, Tansu, Volkan Kilic, and Mustafa Sen. "Integration of a Smartphone Application with a ¼PAD for Rapid Colorimetric Detection of Glucose." In 2019 Medical Technologies Congress (TIPTEKNO). IEEE, 2019. http://dx.doi.org/10.1109/tiptekno.2019.8895228.

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Ozeh, Samuel, A. G. Agwu Nnanna, and Justus C. Ndukaife. "Smartphone-Based Device for Monitoring Chemical Pollutants in Water." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86893.

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There remains a need for a cost-effective, sensitive and on-site analytical technique which requires minimal technical skills for monitoring chemical contaminants in water. This research work presents a smartphone-based colorimetric detection of trace chemical pollutants in water. Components of the Hue, Saturation and Value (HSV) color space within a global region of interest (ROI) of analytes’ image were utilized in developing an algorithm for the quantitative detection of target ions. Calibrations were conducted with Chromium (VI) and Nitrite analytes ranging between 0–250 ppb and 0–3000 ppb
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Manzanas, Carlos, Md Mahbubul Alam, Julia C. Loeb, John A. Lednicky, Chang-Yu Wu, and Z. Hugh Fan. "Valve-Enabled Sample Preparation and Isothermal Amplification for SARS-CoV-2 Detection at the Point-of-Care." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-69303.

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Abstract Early and accurate detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the point-of-care (POC) is crucial for reducing the transmission of coronavirus disease 2019 (COVID-19). To address this need, we have developed a valve-enabled lysis, paper-based RNA enrichment, and RNA amplification device (VLEAD) for detecting SARS-CoV-2. We have combined VLEAD with a smart coffee mug for sample preparation, nucleic acid isothermal amplification, and colorimetric detection using a smartphone camera or a naked eye. VLEAD enables two critical functions required for POC tes
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