Colorimetric biosensor based on smartphone: State-of-art

Shende, 2019, Color changing sensors: a multimodal system for integrated screening, Trac-Trends Anal. Chem., 121, 10.1016/j.trac.2019.115687 Meredith, 2016, Paper-based analytical devices for environmental analysis, Analyst, 141, 1874, 10.1039/C5AN02572A Paterson, 2015, Solution-based nanosensors for in-field detection with the naked eye, Analyst, 140, 3308, 10.1039/C4AN02297A Huang, 2018, Smartphone-based analytical biosensors, Analyst, 143, 5339, 10.1039/C8AN01269E Wang, 2016, Smartphone spectrometer for colorimetric biosensing, Analyst, 141, 3233, 10.1039/C5AN02508G Roda, 2014, Integrating biochemiluminescence detection on smartphones: mobile chemistry platform for point-of-need analysis, Anal. Chem., 86, 7299, 10.1021/ac502137s Oncescu, 2014, Cholesterol testing on a smartphone, Lab Chip, 14, 759, 10.1039/C3LC51194D Yetisen, 2014, A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests, Sens. Actuators B: Chem., 196, 156, 10.1016/j.snb.2014.01.077 Oncescu, 2013, Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva, Lab Chip, 13, 3232, 10.1039/c3lc50431j Hong, 2014, Development of the smartphone-based colorimetry for multi-analyte sensing arrays, Lab Chip, 14, 1725, 10.1039/C3LC51451J Zhang, 2016, Biosensors and bioelectronics on smartphone for portable biochemical detection, Biosens. Bioelectron., 75, 273, 10.1016/j.bios.2015.08.037 Sivakumar, 2021, Recent progress in smartphone-based techniques for food safety and the detection of heavy metal ions in environmental water, Chemosphere, 275, 10.1016/j.chemosphere.2021.130096 Nelis, 2020, Smartphone-based optical assays in the food safety field, Trends Anal. Chem., 129, 10.1016/j.trac.2020.115934 Liu, 2019, Point-of-care testing based on smartphone: the current state-of-the-art (2017-2018), Biosens. Bioelectron., 132, 17, 10.1016/j.bios.2019.01.068 Kwon, 2016, Medical diagnostics with mobile devices: comparison of intrinsic and extrinsic sensing, Biotechnol. Adv., 34, 291, 10.1016/j.biotechadv.2016.02.010 Kanchi, 2018, Smartphone based bioanalytical and diagnosis applications: a review, Biosens. Bioelectron., 102, 136, 10.1016/j.bios.2017.11.021 Citartan, 2019, Recent developments of aptasensors expedient for point-of-care (POC) diagnostics, Talanta, 199, 556, 10.1016/j.talanta.2019.02.066 Chen, 2021, Application of smartphone-based spectroscopy to biosample analysis: a review, Biosens. Bioelectron., 172, 10.1016/j.bios.2020.112788 Morbioli, 2017, Technical aspects and challenges of colorimetric detection with microfluidic paper-based analytical devices (mu PADs) - a review, Anal. Chim. Acta, 970, 1, 10.1016/j.aca.2017.03.037 Kaneta, 2019, Microfluidic paper-based analytical devices with instrument-free detection and miniaturized portable detectors, Appl. Spectrosc. Rev., 54, 117, 10.1080/05704928.2018.1457045 Aydindogan, 2018, Paper-based analytical methods for smartphone sensing with functional nanoparticles: bridges from smart surfaces to global health, Anal. Chem., 90, 12325, 10.1021/acs.analchem.8b03120 Zhang, 2018, Plasmonic colorimetric sensors based on etching and growth of noble metal nanoparticles: strategies and applications, Biosens. Bioelectron., 114, 52, 10.1016/j.bios.2018.05.015 Tang, 2017, Plasmon-based colorimetric nanosensors for ultrasensitive molecular diagnostics, ACS Sens, 2, 857, 10.1021/acssensors.7b00282 Lee, 2014, A smartphone platform for the quantification of vitamin D levels, Lab Chip, 14, 1437, 10.1039/C3LC51375K Barbosa, 2015, Portable smartphone quantitation of prostate specific antigen (PSA) in a fluoropolymer microfluidic device, Biosens. Bioelectron., 70, 5, 10.1016/j.bios.2015.03.006 Della Ventura, 2020, Colorimetric test for fast detection of SARS-CoV-2 in nasal and throat swabs, ACS Sens., 5, 3043, 10.1021/acssensors.0c01742 Chen, 2014, Detection of Mercury(II) ions using colorimetric gold nanoparticles on paper-based analytical devices, Anal. Chem., 86, 6843, 10.1021/ac5008688 Yen, 2015, Multicolored silver nanoparticles for multiplexed disease diagnostics: distinguishing dengue, yellow fever, and Ebola viruses, Lab Chip, 15, 1638, 10.1039/C5LC00055F Wang, 2020, A facile and sensitive colorimetric detection for RNase A activity based on target regulated protection effect on plasmonic gold nanoparticles aggregation, Sci. China-Chem., 63, 860, 10.1007/s11426-020-9702-1 Kang, 2018, Rapid and sensitive colorimetric sensing of the insecticide pymetrozine using melamine-modified gold nanoparticles, Anal. Methods, 10, 417, 10.1039/C7AY02658G Li, 2021, Sulfur quantum dot-based portable paper sensors for fluorometric and colorimetric dual-channel detection of cobalt, J. Mater. Sci., 56, 4782, 10.1007/s10853-020-05544-z Petryayeva, 2014, Multiplexed homogeneous assays of proteolytic activity using a smartphone and quantum dots, Anal. Chem., 86, 3195, 10.1021/ac500131r Yu, 2020, Colorimetric ethanol indicator based on instantaneous, localized wetting of a photonic crystal, ACS Appl. Mater. Interfaces, 12, 1924, 10.1021/acsami.9b19836 Yetisen, 2015, Photonic nanosensor for colorimetric detection of metal ions, Anal. Chem., 87, 5101, 10.1021/ac504274q Ilacas, 2019, Paper-based microfluidic devices for glucose assays employing a metal-organic framework (MOF, Anal. Chim. Acta, 1055, 74, 10.1016/j.aca.2019.01.009 Qian, 2021, Colorimetric glucose sensing with multiple-color changes by using a MnO2 NSs-TMB nanosystem, Anal. Methods, 13, 769, 10.1039/D0AY02184A Jiao, 2020, Tungsten disulfide nanosheets-based colorimetric assay for glucose sensing, Spectrochim. Acta A Mol. Biomol. Spectrosc., 242, 10.1016/j.saa.2020.118706 Harpaz, 2020, Enhanced colorimetric signal for accurate signal detection in paper-based biosensors, Diagn. (Basel), 10 Zhang, 2018, A smartphone-integrated ready-to-use paper-based sensor with mesoporous carbon-dispersed Pd nanoparticles as a highly active peroxidase mimic for H2O2 detection, Sens. Actuators B: Chem., 265, 412, 10.1016/j.snb.2018.03.082 Ngo, 2021, Simple paper-based colorimetric and fluorescent glucose sensor using N-doped carbon dots and metal oxide hybrid structures, Anal. Chim. Acta, 1147, 187, 10.1016/j.aca.2020.11.023 Liang, 2020, White peroxidase‐mimicking nanozymes: colorimetric pesticide assay without interferences of O 2 and color, Adv. Funct. Mater., 30, 2001933, 10.1002/adfm.202001933 Chu, 2020, Graphene oxide-based colorimetric detection of organophosphorus pesticides via a multi-enzyme cascade reaction, Nanoscale, 12, 5829, 10.1039/C9NR10862A Liu, 2022, Smartphone-based pure DNAzyme hydrogel platform for visible and portable colorimetric detection of cell-free DNA, ACS Sens Jiao, 2017, Fast preparation of polydopamine nanoparticles catalyzed by Fe2+/H2O2 for visible sensitive smartphone-enabled cytosensing, ACS Appl. Mater. Interfaces, 9, 28339, 10.1021/acsami.7b10564 Park, 2020, Colorimetric visualization using polymeric core-shell nanoparticles: enhanced sensitivity for formaldehyde gas sensors, Polymers, 12, 10.3390/polym12050998 Oh, 2020, Washable colorimetric nanofiber nonwoven for ammonia gas detection, Polymers, 12, 10.3390/polym12071585 Zhao, 2019, A new tridentate fluorescent-colorimetric chemosensor for copper(II) ion, Tetrahedron, 75, 10.1016/j.tet.2019.130675 Tharmalingam, 2020, C-3-symmetric triaminoguanidine based colorimetric and fluorometric chemosensor: sequential detection of Zn2+/PPi, its RGB performance for detection of Zn2+ ion and construction of IMPLICATION logic gate, Spectrochim. Acta Part A-Mol. Biomol. Spectrosc., 242, 10.1016/j.saa.2020.118749 Liu, 2020, Dual-mode photonic sensor array for detecting and discriminating hydrazine and aliphatic amines, ACS Appl. Mater. Interfaces, 12, 11084, 10.1021/acsami.0c00568 Hou, 2020, Phenosafranin-based colorimetric-sensing platform for nitrite detection enabled by griess assay, Sensors, 20, 10.3390/s20051501 Ai, 2020, Covalent organic framework-inspired chromogenic system for visual colorimetric detection of carcinogenic 3, 3 ’-diaminobenzidine, Sens. Actuators B: Chem., 304, 10.1016/j.snb.2019.127372 Li, 2015, Constitution of a visual detection system for lead(II) on polydiacetylene-glycine embedded nanofibrous membranes, J. Mater. Chem. a, 3, 9722, 10.1039/C5TA00608B Choleva, 2015, Paper-based assay of antioxidant activity using analyte-mediated on-paper nucleation of gold nanoparticles as colorimetric probes, Anal. Chim. Acta, 860, 61, 10.1016/j.aca.2014.12.025 Santopolo, 2019, Ultrafast and ultrasensitive naked-eye detection of urease-positive bacteria with plasmonic nanosensors, ACS Sens, 4, 961, 10.1021/acssensors.9b00063 Su, 2015, High-sensitive and high-efficient biochemical analysis method using a bionic electronic eye in combination with a smartphone-based colorimetric reader system, Sens. Actuators B: Chem., 216, 134, 10.1016/j.snb.2015.04.052 Coleman, 2019, Cell phone based colorimetric analysis for point-of-care settings, Analyst, 144, 1935, 10.1039/C8AN02521E Reinhard, 2020, Nanoparticle design rules for colorimetric plasmonic sensors, ACS Appl. Nano Mater., 3, 4342, 10.1021/acsanm.0c00475 Shen, 2012, Point-of-care colorimetric detection with a smartphone, Lab Chip, 12, 4240, 10.1039/c2lc40741h Kim, 2017, A smartphone-based optical platform for colorimetric analysis of microfluidic device, Sens. Actuators B: Chem., 239, 52, 10.1016/j.snb.2016.07.159 Yang, 2018, Color space transformation-based smartphone algorithm for colorimetric urinalysis, ACS Omega, 3, 12141, 10.1021/acsomega.8b01270 Li, 2017, Integrated smartphone-app-chip system for on-site parts-per-billion-level colorimetric quantitation of aflatoxins, Anal. Chem., 89, 8908, 10.1021/acs.analchem.7b01379 Chen, 2019, Improved analytical performance of smartphone-based colorimetric analysis by using a power-free imaging box, Sens. Actuators B: Chem., 281, 253, 10.1016/j.snb.2018.09.019 Xia, 2019, Smartphone-based point-of-care microfluidic platform fabricated with a ZnO nanorod template for colorimetric virus detection, ACS Sens, 4, 3298, 10.1021/acssensors.9b01927 Wang, 2017, Self-referenced smartphone-based nanoplasmonic imaging platform for colorimetric biochemical sensing, Anal. Chem., 89, 611, 10.1021/acs.analchem.6b02484 Nelis, 2020, A randomized combined channel approach for the quantification of color- and intensity-based assays with smartphones, Anal. Chem., 92, 7852, 10.1021/acs.analchem.0c01099 van Nguyen, 2020, An integrated smartphone-based genetic analyzer for qualitative and quantitative pathogen detection, ACS Omega, 5, 22208, 10.1021/acsomega.0c02317 Wang, 2020, Titanium carbide MXenes mediated in situ reduction allows label-free and visualized nanoplasmonic sensing of silver ions, Anal. Chem., 92, 4623, 10.1021/acs.analchem.0c00164 Dong, 2017, High-performance colorimetric detection of thiosulfate by using silver nanoparticles for smartphone-based analysis, ACS Sens, 2, 1152, 10.1021/acssensors.7b00257 Shahvar, 2020, A portable smartphone-based colorimetric sensor for rapid determination of water content in ethanol, Measurement, 150, 10.1016/j.measurement.2019.107068 Amirjani, 2018, Colorimetric detection of ammonia using smartphones based on localized surface plasmon resonance of silver nanoparticles, Talanta, 176, 242, 10.1016/j.talanta.2017.08.022 Sajed, 2019, Improving sensitivity of mercury detection using learning based smartphone colorimetry, Sens. Actuators B: Chem., 298, 10.1016/j.snb.2019.126942 Dutta, 2017, Protein, enzyme and carbohydrate quantification using smartphone through colorimetric digitization technique, J. Biophotonics, 10, 623, 10.1002/jbio.201500329 Wei, 2014, Detection and spatial mapping of mercury contamination in water samples using a smart-phone, ACS Nano, 8, 1121, 10.1021/nn406571t Dong, 2021, An ultra-sensitive colorimetric sensor based on smartphone for pyrophosphate determination, Sens. Actuators B: Chem., 329, 10.1016/j.snb.2020.129066 Yang, 2019, A smartphone-based portable analytical system for on-site quantification of hypochlorite and its scavenging capacity of antioxidants, Sens. Actuators B: Chem., 283, 524, 10.1016/j.snb.2018.11.131 Dutta, 2019, Point of care sensing and biosensing using ambient light sensor of smartphone: critical review, TrAC Trends Anal. Chem., 110, 393, 10.1016/j.trac.2018.11.014 Chen, 2017, A smartphone colorimetric reader integrated with an ambient light sensor and a 3D printed attachment for on-site detection of zearalenone, Anal. Bioanal. Chem., 409, 6567, 10.1007/s00216-017-0605-2 Berg, 2015, Cellphone-based hand-held microplate reader for point-of-care testing of enzyme-linked immunosorbent assays, ACS Nano, 9, 7857, 10.1021/acsnano.5b03203 Vashist, 2015, A smartphone-based colorimetric reader for bioanalytical applications using the screen-based bottom illumination provided by gadgets, Biosens. Bioelectron., 67, 248, 10.1016/j.bios.2014.08.027 Murdock, 2013, Optimization of a paper-based ELISA for a human performance biomarker, Anal. Chem., 85, 11634, 10.1021/ac403040a Gabriel, 2016, Highly sensitive colorimetric detection of glucose and uric acid in biological fluids using chitosan-modified paper microfluidic devices, Analyst, 141, 4749, 10.1039/C6AN00430J Nour, 2020, Rapid naked-eye colorimetric detection of gaseous alkaline analytes using rhodamine B hydrazone-coated silica strips, N. J. Chem., 44, 6068, 10.1039/D0NJ01044H Tsai, 2017, Diagnosis of tuberculosis using colorimetric gold nanoparticles on a paper-based analytical device, ACS Sens, 2, 1345, 10.1021/acssensors.7b00450 Han, 2020, Paper/soluble polymer hybrid-based lateral flow biosensing platform for high-performance point-of-care testing, ACS Appl. Mater. Interfaces, 12, 34564, 10.1021/acsami.0c07893 Aydindogan, 2020, Paper-based colorimetric spot test utilizing smartphone sensing for detection of biomarkers, Talanta, 208, 10.1016/j.talanta.2019.120446 Devadhasan, 2021, Critical comparison between large and mini vertical flow immunoassay platforms for yersinia pestis detection, Anal. Chem., 93, 9337, 10.1021/acs.analchem.0c05278 de, 2014, A handheld stamping process to fabricate microfluidic paper-based analytical devices with chemically modified surface for clinical assays, RSC Adv., 4, 37637, 10.1039/C4RA07112C Evans, 2014, Modification of microfluidic paper-based devices with silica nanoparticles, Analyst, 139, 5560, 10.1039/C4AN01147C Bhakta, 2014, Determination of nitrite in saliva using microfluidic paper-based analytical devices, Anal. Chim. Acta, 809, 117, 10.1016/j.aca.2013.11.044 Chen, 2021, Salty biofluidic sample clean-up and preconcentration with a paper-based ion concentration polarization interface, Anal. Chem., 93, 10236, 10.1021/acs.analchem.1c01640 Park, 2018, Smartphone-based VOC sensor using colorimetric polydiacetylenes, ACS Appl. Mater. Interfaces, 10, 5014, 10.1021/acsami.7b18121 Soh, 2020, Strategies for developing sensitive and specific nanoparticle-based lateral flow assays as point-of-care diagnostic device, Nano Today, 30, 10.1016/j.nantod.2019.100831 Bu, 2021, Multifunctional bacteria-derived tags for advancing immunoassay analytical performance with dual-channel switching and antibodies bioactivity sustaining, Biosens. Bioelectron., 192, 10.1016/j.bios.2021.113538 He, 2022, “Lighting-up” methylene blue-embedded zirconium based organic framework triggered by Al3+ for advancing the sensitivity of E. coli O157:H7 analysis in dual-signal lateral flow immunochromatographic assay, J. Hazard. Mater., 425, 10.1016/j.jhazmat.2021.128034 Fabiani, 2022, Paper-based immunoassay based on 96-well wax-printed paper plate combined with magnetic beads and colorimetric smartphone-assisted measure for reliable detection of SARS-CoV-2 in saliva, Biosens. Bioelectron., 200, 10.1016/j.bios.2021.113909 Wang, 2018, Sensitive colorimetric assay for uric acid and glucose detection based on multilayer-modified paper with smartphone as signal readout, Anal. Bioanal. Chem., 410, 2647, 10.1007/s00216-018-0939-4 Gong, 2017, Turning the page: advancing paper-based microfluidics for broad diagnostic application, Chem. Rev., 117, 8447, 10.1021/acs.chemrev.7b00024 Silva, 2020, Microfluidic paper-based device integrated with smartphone for point-of-use colorimetric monitoring of water quality index, Measurement, 164, 10.1016/j.measurement.2020.108085 Sun, 2018, Improved assessment of accuracy and performance using a rotational paper-based device for multiplexed detection of heavy metals, Talanta, 178, 426, 10.1016/j.talanta.2017.09.059 Jang, 2020, Pump-free microfluidic rapid mixer combined with a paper-based channel, ACS Sens, 5, 2230, 10.1021/acssensors.0c00937 Jalal, 2017, Paper-plastic hybrid microfluidic device for smartphone-based colorimetric analysis of urine, Anal. Chem., 89, 13160, 10.1021/acs.analchem.7b02612 Lopreside, 2021, Orthogonal paper biosensor for mercury(II) combining bioluminescence and colorimetric smartphone detection, Biosens. Bioelectron., 194, 10.1016/j.bios.2021.113569 Rajasulochana, 2022, Paper-based microfluidic colorimetric sensor on a 3D printed support for quantitative detection of nitrite in aquatic environments, Environ. Res, 208, 10.1016/j.envres.2022.112745 Yin, 2021, Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip, Sens. Actuators B: Chem., 344, 10.1016/j.snb.2021.130242 Ma, 2019, A sample-to-answer, portable platform for rapid detection of pathogens with a smartphone interface, Lab Chip, 19, 3804, 10.1039/C9LC00797K Liu, 2019, Urea-functionalized poly(ionic liquid) photonic spheres for visual identification of explosives with a smartphone, ACS Appl. Mater. Interfaces, 11, 21078, 10.1021/acsami.9b04568 Tang, 2017, Smartphone-enabled colorimetric trinitrotoluene detection using amine-trapped polydimethylsiloxane membranes, ACS Appl. Mater. Interfaces, 9, 14445, 10.1021/acsami.7b03314 Prabhu, 2020, Thread integrated smart-phone imaging facilitates early turning point colorimetric assay for microbes, RSC Adv., 10, 26853, 10.1039/D0RA05190J Escobedo, 2019, Smartphone-based diagnosis of parasitic infections with colorimetric assays in centrifuge tubes, IEEE Access, 7, 185677, 10.1109/ACCESS.2019.2961230 Wu, 2022, Smartphone-based high-throughput fiber-integrated immunosensing system for point-of-care testing of the SARS-CoV-2 nucleocapsid protein, ACS Sens, 7, 1985, 10.1021/acssensors.2c00754 Mercan, 2021, Machine learning-based colorimetric determination of glucose in artificial saliva with different reagents using a smartphone coupled mu PAD, Sens. Actuators B: Chem., 329, 10.1016/j.snb.2020.129037 Thakur, 2021, Machine learning-based rapid diagnostic-test reader for albuminuria using smartphone, IEEE Sens. J., 21, 14011, 10.1109/JSEN.2020.3034904 Kong, 2019, Accessory-free quantitative smartphone imaging of colorimetric paper-based assays, Lab Chip, 19, 1991, 10.1039/C9LC00165D Mutlu, 2017, Smartphone-based colorimetric detection via machine learning, Analyst, 142, 2434, 10.1039/C7AN00741H Mathaweesansurn, 2017, A mobile phone-based analyzer for quantitative determination of urinary albumin using self-calibration approach, Sens. Actuators B: Chem., 242, 476, 10.1016/j.snb.2016.11.057 Karlsen, 2017, Smartphone-based rapid screening of urinary biomarkers, Ieee Trans. Biomed. Circuits Syst., 11, 455, 10.1109/TBCAS.2016.2633508 Tania, 2020, Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays, Expert Syst. Appl., 139 Kim, 2020, Smartphone-based image analysis coupled to paper-based colorimetric devices, Curr. Appl. Phys., 20, 1013, 10.1016/j.cap.2020.06.021 Lopez-Ruiz, 2014, Smartphone-based simultaneous pH and nitrite colorimetric determination for paper microfluidic devices, Anal. Chem., 86, 9554, 10.1021/ac5019205 Bao, 2018, A remote computing based point-of-care colorimetric detection system with a smartphone under complex ambient light conditions, Analyst, 143, 1387, 10.1039/C7AN01685A Kim, 2017, Colorimetric analysis of saliva-alcohol test strips by smartphone-based instruments using machine-learning algorithms, Appl. Opt., 56, 84, 10.1364/AO.56.000084 Solmaz, 2018, Quantifying colorimetric tests using a smartphone app based on machine learning classifiers, Sens. Actuators B: Chem., 255, 1967, 10.1016/j.snb.2017.08.220 Mercan, 2021, Machine learning-based colorimetric determination of glucose in artificial saliva with different reagents using a smartphone coupled mu PAD, Sens. Actuators B: Chem., 329, 10.1016/j.snb.2020.129037 Wang, 2016, A smartphone-based colorimetric reader coupled with a remote server for rapid on-site catechols analysis, Talanta, 160, 194, 10.1016/j.talanta.2016.07.012