Academic Journal
Flexible electrospun microcone-array SERS swab for rapid on-site detection of saffron adulteration.
| Τίτλος: | Flexible electrospun microcone-array SERS swab for rapid on-site detection of saffron adulteration. |
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| Συγγραφείς: | Cai C; Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, Shandong, 250061, China; National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, Shandong, 250061, China., Wang J; Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, Shandong, 250061, China; National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, Shandong, 250061, China., Sun T; Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, Shandong, 250061, China; Rizhao Research Institute of Shandong University, Rizhao, Shandong, 276800, China., Zong X; Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, Shandong, 250061, China., Zhang C; Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, Shandong, 250061, China; Rizhao Research Institute of Shandong University, Rizhao, Shandong, 276800, China; State Key Laboratory of Advanced Equipment and Technology for Metal Forming, Shandong University, Jinan, 250061, China. Electronic address: zhangchengpeng@sdu.edu.cn. |
| Πηγή: | Talanta [Talanta] 2026 Dec 01; Vol. 310, pp. 130067. Date of Electronic Publication: 2026 Jun 02. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 2984816R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3573 (Electronic) Linking ISSN: 00399140 NLM ISO Abbreviation: Talanta Subsets: MEDLINE |
| Imprint Name(s): | Publication: Amsterdam : Elsevier Original Publication: Oxford : Pergamon Press |
| Ιατρικοί όροι (MeSH): | Spectrum Analysis, Raman*/methods , Crocus*/chemistry , Food Contamination*/analysis, Silver/chemistry ; Metal Nanoparticles/chemistry ; Limit of Detection ; Reproducibility of Results |
| Περίληψη: | Surface-enhanced Raman scattering (SERS) has attracted increasing attention in food authenticity testing due to its high sensitivity toward dyes and trace molecular contaminants. However, its practical application to filament-type herbal materials such as saffron remains challenging, largely because their irregular surfaces hinder efficient sampling and lead to poor hotspot uniformity. Here, we report a template-assisted electrospun fiber membrane with well-ordered microcone arrays (EFM-OMA) as a flexible 3D SERS platform for rapid detection of saffron adulteration. The well-ordered microcone architecture provides a highly repeatable nanoscale enhancement environment, enabling dense and uniform AgNPs-based hotspots across the entire substrate. This structure not only enhances electromagnetic coupling but also significantly improves molecular collection efficiency during swabbing of irregular solid samples. Benefiting from its high sensitivity and uniformity, the EFM-OMA SERS swab achieves an enhancement factor of 3.7 × 1011, a detection limit down to 10-14 M, and excellent signal reproducibility with an RSD of 7.86%. The stable full-spectrum fingerprints obtained from the swab can be reliably analyzed using a Random Forest classifier, enabling accurate identification of dye-adulterated saffron. This work demonstrates a scalable strategy that integrates a flexible 3D SERS substrate with machine-learning-assisted spectral analysis, offering an effective route for on-site, rapid authentication of solid herbal materials. (Copyright © 2026. Published by Elsevier B.V.) |
| Competing Interests: | Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Electrospinning; Machine learning; Microstructure arrays; Surface-enhanced Raman scattering |
| Substance Nomenclature: | 3M4G523W1G (Silver) |
| Entry Date(s): | Date Created: 20260603 Date Completed: 20260818 Latest Revision: 20260818 |
| Update Code: | 20260818 |
| DOI: | 10.1016/j.talanta.2026.130067 |
| PMID: | 42235343 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1873-3573 |
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| DOI: | 10.1016/j.talanta.2026.130067 |