A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests

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Critical importance of RGB color space specificity for colorimetric bio/chemical sensing: A comprehensive study

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Enzyme-Based Test Strips for Visual or Photographic Detection and Quantitation of Gaseous Sulfur Mustard

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Augmented Reality for Real-Time Detection and Interpretation of Colorimetric Signals Generated by Paper-Based Biosensors

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A plasmonic thermal sensing based portable device for lateral flow assay detection and quantification

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Ammonia-Sensitive Photonic Structures Fabricated in Nafion Membranes by Laser Ablation

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Paper-based graphene oxide biosensor coupled with smartphone for the quantification of glucose in oral fluid

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Multimodal Imaging and Lighting Bias Correction for Improved μPAD-based Water Quality Monitoring via Smartphones

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Cerium metal organic framework mediated molecular threading for point-of-care colorimetric assays

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Patent protection and licensing in microfluidics

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Flexible opto-electronics enabled microfluidics systems with cloud connectivity for point-of-care micronutrient analysis

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Printed microwells with highly stable thin-film enzyme coatings for point-of-care multiplex bioassay of blood samples

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Electrochromic, Closed-Bipolar Electrodes Employing Aptamer-Based Recognition for Direct Colorimetric Sensing Visualization

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Real-Time and Rapid Food Quality Monitoring Using Smart Sensory Films with Image Analysis and Machine Learning

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Smartphone-based colorimetric determination of sulfadiazine and sulfasalazine in pharmaceutical and veterinary formulations

Errayess, S. A., Idrissi, L., & Amine, A. (2018) · Instrumentation Science & Technology · doi:10.1080/10739149.2018.1443943 · Cited by 37

Multiplex quantification of metals in airborne particulate matter via smartphone and paper-based microfluidics

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Colorimetric Molecularly Imprinted Polymer-Based Sensors for Rapid Detection of Organic Compounds: A Review

Bravo, J. C., González, G. P., Martı́nez, R. M. G., García-Mayor, A., & Hernando, P. F. (2025) · Chemosensors · doi:10.3390/chemosensors13050163 · Cited by 36

Histogram analysis for smartphone-based rapid hematocrit determination

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A smartphone-based colorimetric PET sensor platform with molecular recognition via thermally initiated RAFT-mediated graft copolymerization

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Quantitative pH Determination Based on the Dominant Wavelength Analysis of Commercial Test Strips

Li, H., Wang, X., Li, X., & Yu, H. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c03393 · Cited by 36

The geek and the chemist: Antioxidant capacity measurements by DPPH assay in beverages using open source tools, consumer electronics and 3D printing

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Three-Dimensional Microstructured Lattices for Oil Sensing

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Determination of allura red dye in hard candies by using digital images obtained with a mobile phone and N-PLS

Botelho, B. G., Dantas, K. C. F., & Sena, M. M. (2017) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2017.05.004 · Cited by 33

From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry

Kılıç, V., Horzum, N., & Solmaz, M. E. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.82227 · Cited by 35

Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care

Flaucher, M., Nissen, M., Jaeger, K. M., Titzmann, A., Pontones, C. A., Huebner, H., Fasching, P. A., Beckmann, M. W., Gradl, S., & Eskofier, B. M. (2022) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2022.3179147 · Cited by 33

Small camera as a handheld colorimetric tool in the analytical chemistry

Pohanka, M. (2017) · Chemical Papers · doi:10.1007/s11696-017-0166-z · Cited by 32

A rapid and highly sensitive paper-based colorimetric device for the on-site screening of ammonia gas

Khachornsakkul, K., Hung, K.-H., Chang, J.-J., Dungchai, W., & Chen, C. (2021) · The Analyst · doi:10.1039/d1an00032b · Cited by 32

Smartphone-Based Rapid Screening of Urinary Biomarkers

Karlsen, H., & Dong, T. (2017) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2016.2633508 · Cited by 32

Long-term stable, high accuracy, and visual detection platform for In-field analysis of nitrite in food based on colorimetric test paper and deep convolutional neural networks

Huang, Z., Luo, J., Zheng, F., Li, S., Liu, F., Lin, L., Huang, Y.-J., Man, S., Cao, G.-X., & Huang, X. (2021) · Food Chemistry · doi:10.1016/j.foodchem.2021.131593 · Cited by 30

Paper transducers to detect plasmon variations in colorimetric nanoparticle biosensors

Russell, S. M., & de la Rica, R. (2018) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2018.05.052 · Cited by 30

Dual-Mode Undistorted Visual Fluorescent Sensing Strategy through Manipulating the Coffee-Ring Effect on Microfluidic Paper-Based Chip

Qi, J., Li, B., Dong, L. R., Du, Z., Fu, L., Wang, X., Zhang, Z., Luo, L., & Chen, L. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.3c00947 · Cited by 29

Smartphone‐based colorimetric chiral recognition of ibuprofen using aptamers‐capped gold nanoparticles

Ping, J., He, Z., Liu, J., & Xie, X. (2017) · Electrophoresis · doi:10.1002/elps.201700372 · Cited by 29

Smartphone-based technique for the determination of a titration equivalence point from an RGB linear-segment curve with an example application to miniaturized titration of sodium chloride injections

Ruttanakorn, K., Phadungcharoen, N., Laiwattanapaisal, W., Chinsriwongkul, A., & Rojanarata, T. (2021) · Talanta · doi:10.1016/j.talanta.2021.122602 · Cited by 29

Lab-in-a-Cup (LiC): An autonomous fluidic device for daily urinalysis using smartphone

Rahman, M. H., Uddin, M. J., Hong, J. H., Bhuiyan, N. H., & Shim, J. S. (2021) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2021.131336 · Cited by 29

Open software platform for automated analysis of paper-based microfluidic devices

Parker, R. W., Wilson, D. J., & Mace, C. R. (2020) · Scientific Reports · doi:10.1038/s41598-020-67639-6 · Cited by 27

Simple-to-use and portable device for free chlorine determination based on microwave-assisted synthesized carbon dots and smartphone images

Uriarte, D., Vidal, E., Canals, A., Domini, C. E., & Garrido, M. (2021) · Talanta · doi:10.1016/j.talanta.2021.122298 · Cited by 28

Smartphone-Based Device for Colorimetric Detection of MicroRNA Biomarkers Using Nanoparticle-Based Assay

Krishnan, T., Wang, H., & Vo‐Dinh, T. (2021) · Sensors · doi:10.3390/s21238044 · Cited by 28

Adapting smartphone app used in water testing, for soil nutrient analysis

Golicz, K., Hallett, S. H., Sakrabani, R., & Ghosh, J. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105532 · Cited by 28

Normalizing the Optical Signal Enables Robust Assays with Lateral Flow Biosensors

Park, J., Park, E.-K., Cho, Y. K., Shin, I., & Lee, H. (2022) · ACS Omega · doi:10.1021/acsomega.2c00793 · Cited by 27

A smartphone-based point-of-care quantitative urinalysis device for chronic kidney disease patients

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Development of an environmental health tool linking chemical exposures, physical location and lung function

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Nanotechnology in Textiles

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Non-enzymatic colorimetric glucose detection based on Au/Ag nanoparticles using smartphone and machine learning

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Low-cost embossed-paper micro-channels for spontaneous capillary flow

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Mechanism of multiple grating formation in high-energy recording of holographic sensors

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Reversible photonic hydrogel sensors via holographic interference lithography

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A free customizable tool for easy integration of microfluidics and smartphones

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Photonic Materials for Holographic Sensing

Zawadzka, M., Mikulchyk, T., Cody, D., Martin, S., Yetisen, A. K., Martinez-Hurtado, J. L., Butt, H., Mihaylova, E., Awala, H., Mintova, S., et al. (2015) · Springer series in materials science · doi:10.1007/978-3-319-24990-2_11 · Cited by 25

Wearable transdermal microneedle patch based on photonic crystal hydrogel for glucose monitoring

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A smartphone metabolomics platform and its application to the assessment of cisplatin-induced kidney toxicity

Kwon, H. N., Park, J., An, Y., Sim, J., & Park, S. (2014) · Analytica Chimica Acta · doi:10.1016/j.aca.2014.08.006 · Cited by 24

mHealth Dipstick Analyzer for Monitoring of Pregnancy Complications

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Policy Considerations for Mobile Biosensors

Russell, S. M., & de la Rica, R. (2018) · ACS Sensors · doi:10.1021/acssensors.8b00289 · Cited by 24

A Chemometric-Assisted Colorimetric-Based Inexpensive Paper Biosensor for Glucose Detection

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Sensitive and reliable paper-based glucose sensing mechanisms with smartphone readout using the L * a * b * color space

Baş, D. (2017) · Analytical Methods · doi:10.1039/c7ay02124k · Cited by 21

Portable detection of trace metals in airborne particulates and sediments via μPADs and smartphone

Jia, Y., Dong, H., Zheng, J., & Sun, H. R. (2017) · Biomicrofluidics · doi:10.1063/1.5003308 · Cited by 21

A smartphone-based portable analytical system for on-site quantification of hypochlorite and its scavenging capacity of antioxidants

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Assay Type Detection Using Advanced Machine Learning Algorithms

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Quantitative UV-C dose validation with photochromic indicators for informed N95 emergency decontamination

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Cantilever-Based Sensor Utilizing a Diffractive Optical Element with High Sensitivity to Relative Humidity

Grogan, C., McGovern, F. R., Staines, R., Amarandei, G., & Naydenova, I. (2021) · Sensors · doi:10.3390/s21051673 · Cited by 19

Scaling the Analytical Information Given by Several Types of Colorimetric and Spectroscopic Instruments Including Smartphones: Rules for Their Use and Establishing Figures of Merit of Solid Chemosensors

Martínez‐Aviñó, A., Molins-Legua, C., & Campíns-Falcó, P. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.0c03994 · Cited by 19

Slipdisc: a versatile sample preparation platform for point of care diagnostics

Banerjee, I., Salih, T., Ramachandraiah, H., Erlandsson, J., Pettersson, T., Araújo, A. C., Karlsson, M., & Russom, A. (2017) · RSC Advances · doi:10.1039/c7ra05209j · Cited by 19

A convenient and rapid method for detecting d-glucose in honey used smartphone

Ouyang, J., Pu, S., Chen, X., Yang, C., Zhang, X., & Li, D. (2020) · Food Chemistry · doi:10.1016/j.foodchem.2020.127348 · Cited by 19

SNAPS: Sensor Analytics Point Solutions for Detection and Decision Support Systems

McLamore, E. S., Datta, S., Morgan, V., Cavallaro, N. D., Kiker, G. A., Jenkins, D. M., Rong, Y., Gomes, C. L., Claussen, J. C., Vanegas, D. C., et al. (2019) · Sensors · doi:10.3390/s19224935 · Cited by 18

Smartphone-Based Urine Reagent Strip Test in the Emergency Department

Choi, K., Chang, I., Lee, J. C., Kim, D. K., Noh, S., Ahn, H., Cho, J. H., Kwak, Y. H., Kim, S., & Kim, H. C. (2016) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0153 · Cited by 18

An automated lateral flow assay identification framework: Exploring the challenges of a wearable lateral flow assay in mobile application

Sivakumar, J., Yang, J. H., Kelly, M. S., Koh, A., & Won, D. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118471 · Cited by 18

Naked-eye detection as a universal approach to lower the limit of detection of enzyme-linked immunoassays

O’Connor, E. F., Paterson, S., & de la Rica, R. (2016) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-016-9453-8 · Cited by 17

Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps

Wong, J. X. H., Li, X., Liu, F. S. F., & Yu, H. (2015) · Scientific Reports · doi:10.1038/srep11727 · Cited by 17

Deep‐Learning‐Based Microscopic Imagery Classification, Segmentation, and Detection for the Identification of 2D Semiconductors

Dong, X., Li, H., Yan, Y., Cheng, H., Zhang, H. X., Zhang, Y., Le, T. D., Wang, K., Dong, J., Jakobi, M., et al. (2022) · Advanced Theory and Simulations · doi:10.1002/adts.202200140 · Cited by 20

A low cost design and fabrication method for developing a leak proof paper based microfluidic device with customized test zone

Kakoti, A., Siddiqui, M. F., & Goswami, P. (2015) · Biomicrofluidics · doi:10.1063/1.4918641 · Cited by 17

Determination and analytical validation of creatinine content in serum using image analysis by multivariate transfer calibration procedures

Morais, C. L. M., & Lima, K. M. G. (2015) · Analytical Methods · doi:10.1039/c5ay01369k · Cited by 17

Detection of ultraviolet B radiation with internal smartphone sensors

Turner, J. F., Parisi, A. V., Igoe, D. P., & Amar, A. (2017) · Instrumentation Science & Technology · doi:10.1080/10739149.2017.1298042 · Cited by 16

Illumination and device independence for colorimetric detection of urinary biomarkers with smartphone

Karisen, H., & Dong, T. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7591895 · Cited by 16

Nanomaterial-functionalized Cellulose: Design, Characterization and Analytical Applications

Kirk, K. A., Othman, A. A., & Andreescu, S. (2018) · Analytical Sciences · doi:10.2116/analsci.34.19 · Cited by 16

Progress toward real-world diagnostic applications of microfluidic paper-based analytical devices (μPADs)

Tanifuji, Y., & Citterio, D. (2026) · Lab on a Chip · doi:10.1039/d5lc01085c · Cited by 15

Smartphone-based urine strip analysis

Anthimopoulos, M., Gupta, S., Arampatzis, S., & Mougiakakou, S. G. (2016) · IEEE International Conference on Imaging Systems and Techniques (IST) · doi:10.1109/ist.2016.7738253 · Cited by 15

A selective colorimetric sensing strategy for cysteine based on an indicator-displacement mechanism

Xue, Z., Xiong, L., Peng, H. M., Rao, H., Liu, X., & Lu, X. (2018) · New Journal of Chemistry · doi:10.1039/c7nj03887a · Cited by 15

Organic nanocrystal enrichment in paper microfluidic analysis

Grasianto, Fukuyama, M., Mott, D. M., Koseki, Y., Kasai, H., & Hibara, A. (2021) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2021.129548 · Cited by 15

Holographic Sensors

Yetisen, A. K. (2014) · Springer theses · doi:10.1007/978-3-319-13584-7 · Cited by 15

Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter

Abels, K., Salvo‐Halloran, E. M., White, D., Ali, M. M., Agarwal, N. R., Leung, V., Ali, M., Sidawi, M., Capretta, A. A., Brennan, J. D., et al. (2021) · ACS Omega · doi:10.1021/acsomega.1c03460 · Cited by 14

Fundamentals of Holographic Sensing

Yetisen, A. K. (2014) · Springer theses · doi:10.1007/978-3-319-13584-7_2 · Cited by 14

Smartphone-Based Point-of-Care Technologies for Mobile Healthcare

Vashist, S. K., & Luong, J. H. T. (2019) · Springer eBooks · doi:10.1007/978-3-030-11416-9_2 · Cited by 14

Portable real-time colorimetric LAMP-device for rapid quantitative detection of nucleic acids in crude samplesPreprint

Papadakis, G., Pantazis, A. K., Fikas, N., Chatziioannidou, S., Tsiakalou, V., Michaelidou, K., Pogka, V., Megariti, M., Vardaki, M., Giarentis, K., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.22.215251 · Cited by 14

Clinical laboratory data: acquire, analyze, communicate, liberate

Azzazy, H. M. E.-S., & Elbehery, A. H. A. (2014) · Clinica Chimica Acta · doi:10.1016/j.cca.2014.08.019 · Cited by 13

Development of a novel smartphone-based application for accurate and sensitive on-field hemoglobin measurement

Ghatpande, N., Apte, P. P., Joshi, B. N., Naik, S. S., Bodas, D., Sande, V., Uttarwar, P., & Kulkarni, P. P. (2016) · RSC Advances · doi:10.1039/c6ra24366e · Cited by 13

Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): A complementary framework for medical practitioners and patients

Oluwagbemi, O. O., Oluwagbemi, F., & Ughamadu, C. (2016) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2016.03.001 · Cited by 13

Point-of-Care Diagnostics

Yetisen, A. K. (2014) · Springer theses · doi:10.1007/978-3-319-13584-7_1 · Cited by 12

Holographic Metal Ion Sensors

Yetisen, A. K. (2014) · Springer theses · doi:10.1007/978-3-319-13584-7_4 · Cited by 12

Multipath colourimetric assay for copper(II) ions utilizing MarR functionalized gold nanoparticles

Wang, Y., Wang, L., Su, Z., Xue, J., Dong, J., Zhang, C., Hua, X., Wang, M., & Liu, F. (2017) · Scientific Reports · doi:10.1038/srep41557 · Cited by 12

Holographic Sensors

Naydenova, I. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815467-0.00007-4 · Cited by 12

An advantageous analytical method for the determination of fluoride in saliva exploiting smartphone-based digital-image colorimetry

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Deep Learning based Colorimetric Classification of Glucose with Au-Ag nanoparticles using Smartphone

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