Paper-Based Materials for Diagnostics
Source abstract
Abstract
Nowadays point-of care (POC) devices dominate the field of bioanalysis as they play a pivotal role in improving different aspects of diagnostics including screening, early diagnosis, and disease monitoring. These devices comply with the World Health Organization ASSURED criteria that describe the ideal POC tool. While conventional materials like polymers, silicon, metallic foils, and glass have been exploited in POC device manufacturing, recent innovations relying on paper-based materials have introduced a new era of versatile diagnostic tools. Because of their properties, cellulose and its derivatives have emerged as the most common paper-based substrate in device fabrication. The present review explores recent developments in paper-based diagnostics, covering a wide range of applications including reagent storage and isolation/extraction of the analyte and also serving as a sensing platform. The versatility of paper substrates in various diagnostic devices such as lateral flow assays, electrochemical sensors, microfluidics, etc. is discussed, highlighting their advantages, challenges, and limitations on the context of precision medicine.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Biosensors and Analytical Detection · Advanced biosensing and bioanalysis techniques · SARS-CoV-2 detection and testing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Pharmacy, University of Naples “Federico II”, Naples 80131, Italy
BAT Center - Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology, University of Naples “Federico II”, Naples 80055, Italy
Funding
Associazione Italiana per la Ricerca sul Cancro
References (84)
Show source-provided references
1. 10.1002/rmv.226310.1002/rmv.2263 ↗
2. 10.3390/mi1203031910.3390/mi12030319 ↗
3. 10.1021/ac60033a03210.1021/ac60033a032 ↗
4. 10.1080/0197152800805577710.1080/01971528008055777 ↗
5. 10.1017/S000708741700061910.1017/S0007087417000619 ↗
6. 10.1002/anie.20060381710.1002/anie.200603817 ↗
7. 10.1073/pnas.081090310510.1073/pnas.0810903105 ↗
8. 10.1515/revac-2022-003710.1515/revac-2022-0037 ↗
9. 10.1021/ja207177910.1021/ja2071779 ↗
10. 10.3390/bios1207048510.3390/bios12070485 ↗
11. Jafry, A. T.; Lim, H.; Lee, J. Basic Paper-Based Microfluidics/Electronics Theory; Lee, J. H., Eds. Springer: Singapore, 2021; Chapter 2, pp 7–39.10.1007/978-981-15-8723-8_2 ↗
12. 10.3389/fbioe.2022.85167510.3389/fbioe.2022.851675 ↗
13. 10.1007/s10570-016-1079-710.1007/s10570-016-1079-7 ↗
14. 10.1515/revac-2013-000710.1515/revac-2013-0007 ↗
15. Cytiva. https://www.cytivalifesciences.com/en/us/solutions/lab-filtration/knowledge-center/a-guide-to-whatman-filter-paper-grades (accessed 2023-02-21).
16. 10.3390/mi703004810.3390/mi7030048 ↗
17. 10.1021/acs.iecr.9b0477210.1021/acs.iecr.9b04772 ↗
18. 10.3390/diagnostics1008050910.3390/diagnostics10080509 ↗
19. 10.1557/mrs.2013.6010.1557/mrs.2013.60 ↗
20. 10.1038/s41596-019-0186-y10.1038/s41596-019-0186-y ↗
21. 10.1002/elps.20150011010.1002/elps.201500110 ↗
22. 10.1016/j.snb.2017.07.16110.1016/j.snb.2017.07.161 ↗
23. 10.1016/j.bios.2020.11237110.1016/j.bios.2020.112371 ↗
24. 10.1016/j.bios.2020.11241110.1016/j.bios.2020.112411 ↗
25. 10.1039/C4AN00230J10.1039/C4AN00230J ↗
26. 10.1002/advs.20200265710.1002/advs.202002657 ↗
27. 10.3390/bios1306057510.3390/bios13060575 ↗
28. 10.1016/j.trac.2009.05.00510.1016/j.trac.2009.05.005 ↗
29. 10.1007/s00216-012-5821-110.1007/s00216-012-5821-1 ↗
30. 10.1007/s00216-023-04659-x10.1007/s00216-023-04659-x ↗
31. 10.1021/acsomega.0c0240710.1021/acsomega.0c02407 ↗
32. 10.1038/s41596-020-0357-x10.1038/s41596-020-0357-x ↗
33. Kalogianni, D. P. Lateral Flow Assays for Food Authentication; Pudake, R. N., Jain, U., Kole, C., Eds. Springer: Cham, 2021; pp 343–363.10.1007/978-3-030-66165-6_16 ↗
34. 10.1080/14737159.2017.128522810.1080/14737159.2017.1285228 ↗
35. 10.1002/anie.20141150810.1002/anie.201411508 ↗
36. 10.1016/j.colsurfb.2009.12.02310.1016/j.colsurfb.2009.12.023 ↗
37. 10.1038/s41598-017-01343-w10.1038/s41598-017-01343-w ↗
38. 10.1039/C9RA00610A10.1039/C9RA00610A ↗
39. 10.1016/j.bios.2019.03.03710.1016/j.bios.2019.03.037 ↗
40. 10.1039/D0RA04301J10.1039/D0RA04301J ↗
41. 10.1016/j.talanta.2021.12296210.1016/j.talanta.2021.122962 ↗
42. 10.1016/j.talanta.2018.10.10410.1016/j.talanta.2018.10.104 ↗
43. 10.1016/j.talanta.2022.12420210.1016/j.talanta.2022.124202 ↗
44. 10.1016/j.bios.2022.11422510.1016/j.bios.2022.114225 ↗
45. 10.1021/acs.chemrev.7b0002410.1021/acs.chemrev.7b00024 ↗
46. 10.1007/s44174-022-00007-210.1007/s44174-022-00007-2 ↗
47. 10.3390/bios1109032810.3390/bios11090328 ↗
48. 10.1007/s00216-020-02475-110.1007/s00216-020-02475-1 ↗
49. 10.1039/D2SD00017B10.1039/D2SD00017B ↗
50. 10.1016/j.hazadv.2022.10012610.1016/j.hazadv.2022.100126 ↗
51. 10.1007/s11356-021-17792-w10.1007/s11356-021-17792-w ↗
52. 10.1016/j.jhazmat.2021.12610810.1016/j.jhazmat.2021.126108 ↗
53. 10.1021/acsabm.0c0113910.1021/acsabm.0c01139 ↗
54. 10.3390/s2020589810.3390/s20205898 ↗
55. 10.1007/s10544-021-00588-710.1007/s10544-021-00588-7 ↗
56. 10.1016/j.resconrec.2022.10675710.1016/j.resconrec.2022.106757 ↗
57. 10.1016/j.chemosphere.2021.13046210.1016/j.chemosphere.2021.130462 ↗
58. 10.1021/ac902647r10.1021/ac902647r ↗
59. 10.1016/j.talanta.2021.12247410.1016/j.talanta.2021.122474 ↗
60. 10.1016/j.talanta.2016.04.01710.1016/j.talanta.2016.04.017 ↗
61. 10.34297/AJBSR.2020.08.00123410.34297/AJBSR.2020.08.001234 ↗
62. 10.34297/AJBSR.2020.08.00123410.34297/AJBSR.2020.08.001234 ↗
63. 10.1016/j.coelec.2021.10072610.1016/j.coelec.2021.100726 ↗
64. Land K. J. · 2019 · 110.1007/978-3-319-96870-4 ↗
65. 10.1039/C9AN01140D10.1039/C9AN01140D ↗
66. 10.1021/acssensors.9b0039010.1021/acssensors.9b00390 ↗
67. 10.1016/j.microc.2023.10910210.1016/j.microc.2023.109102 ↗
68. 10.1016/j.aca.2023.34130310.1016/j.aca.2023.341303 ↗
69. 10.1016/j.electacta.2022.14133210.1016/j.electacta.2022.141332 ↗
70. 10.1021/acs.est.1c0193110.1021/acs.est.1c01931 ↗
71. 10.1016/j.talanta.2018.11.04710.1016/j.talanta.2018.11.047 ↗
72. 10.1038/s41378-020-0146-210.1038/s41378-020-0146-2 ↗
73. 10.1016/j.snb.2023.13471210.1016/j.snb.2023.134712 ↗
74. 10.1021/acsmeasuresciau.1c0005910.1021/acsmeasuresciau.1c00059 ↗
75. 10.1016/j.talanta.2022.12368510.1016/j.talanta.2022.123685 ↗
76. 10.1007/s00216-020-02507-w10.1007/s00216-020-02507-w ↗
77. 10.1016/j.ab.2021.11438910.1016/j.ab.2021.114389 ↗
78. 10.1016/j.bios.2021.11338110.1016/j.bios.2021.113381 ↗
79. 10.1007/s00216-016-9819-y10.1007/s00216-016-9819-y ↗
80. 10.1016/j.nbt.2021.09.00210.1016/j.nbt.2021.09.002 ↗
81. 10.1016/j.talanta.2019.12034610.1016/j.talanta.2019.120346 ↗
82. 10.1021/acs.analchem.0c0430710.1021/acs.analchem.0c04307 ↗
83. 10.1021/acssensors.0c0184010.1021/acssensors.0c01840 ↗
84. 10.1146/annurev-anchem-061417-12573710.1146/annurev-anchem-061417-125737 ↗