Abstract
Food microfluidic paper-based analytical devices (µPADs) are powerful tools to create total analysis systems and have long been demonstrated to be useful for safety and quality applications. Thanks to new technological innovations food µPADs offer exciting new possibilities. This review introduces how µPADs are obtained from chromatography, filter, or office papers and detect analytes from a food sample. We introduce the most current developments in the use of µPADs with an emphasis on paper types, adapted new technologies, and detection limits. Classifications are also made on food µPADs according to applied innovations and adapted novel technologies. In the first section, simple forms of µPADs for the detection of pathogen, mycotoxin, pesticides, and other food components are discussed with technical details. Then, we introduce multisensing approaches for high throughput analysis and a concise summary will be given. In the case of three-dimensional (3D) µPADs, the use of 3D is discussed and compared to 2D µPADs in terms of its advantageous with the example of a food colorant test device. In the following section, smartphone adoption to µPADs is introduced in detail with eight different assay examples. Centrifugal platform for nickel assay is demonstrated as an enabling approach with shortened assay times by rotational velocity. The potential of user-friendly hybrid devices is also summarized in the last part. Finally, we present an outlook to underline the opportunities created by smartphone-based and intelligent µPADs for food safety and quality with real success perspectives.
Original language | English |
---|---|
Article number | e116 |
Journal | eFood |
Volume | 4 |
Issue number | 6 |
DOIs | |
Publication status | Published - Dec 2023 |
Bibliographical note
Publisher Copyright:© 2023 The Authors. eFood published by John Wiley & Sons Australia, Ltd on behalf of International Association of Dietetic Nutrition and Safety.
Funding
All authors have participated in the conception and design, analysis and interpretation of the data, and approval of the final version. This manuscript has not been submitted to, nor is it under review at, another journal or other publishing venue. The authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript. This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) Project No: 218M528 and partially by Istanbul Technical University—Scientific Research Projects Unit under the BAP project number 40707.
Funders | Funder number |
---|---|
Istanbul Technical University—Scientific Research Projects Unit | 40707 |
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu | 218M528 |
Keywords
- artificial intelligence
- food quality
- food safety
- microfluidics
- real-time analysis
- smart phone-based detection
- μPAD