Hierarchical structure SERS biosensor: A machine learning-driven ultra-sensitive platform for trace detection of amygdalin
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OpenAlex topics: Electrochemical sensors and biosensors · Electrochemical Analysis and Applications · Dye analysis and toxicity
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References (46)
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1. Advances in oxidative stress in pathogenesis of diabetic kidney disease and efficacy of TCM intervention
2. AGREE II for TCM: tailored to evaluate methodological quality of TCM clinical practice guidelines[J]
3. Treatment of liver fibrosis after hepatitis B with TCM combined with NAs evaluated by noninvasive diagnostic methods: a retrospective study
4. Fabrication of wafer-scale ordered micro/nanostructures for SERS substrates using rotational symmetry cantilever-based probe lithography10.1016/j.apsusc.2023.157220 ↗
5. New, epitaxial approach to SERS platform preparation – InP nanowires coated by an Au layer as a new, highly active, and stable SERS platform10.1016/j.apsusc.2022.155096 ↗
6. Simultaneously improved SERS sensitivity and thermal stability on Ag dendrites via surface protection by atomic layer deposition10.1016/j.apsusc.2022.155626 ↗
7. One-step surfactant-free photoreduction synthesis of single-crystal silver triangular nanoprisms by surface modified chemically patterned ferroelectric crystals for SERS application10.1016/j.apsusc.2023.157114 ↗
8. Developing highly reliable SERS substrates based on Ag grown on alumina nanomeshes anodized under 1 V for efficiently sensing Raman-active molecules10.1016/j.snb.2023.133739 ↗
9. SERS substrates based on rose petal replicas for the oxidative stress detection10.1016/j.apsusc.2023.157281 ↗
10. Probing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learning10.1016/j.bios.2022.114200 ↗
11. Effect of surface hydroxyls and porous nanostructured sensors integrated for SERS monitoring and efficient removal of organic pollutants10.1016/j.apsusc.2022.154123 ↗
12. Surface-enhanced Raman scattering (SERS) taster: a machine-learning-driven multireceptor platform for multiplex profiling of wine flavors10.1021/acs.nanolett.1c00416 ↗
13. Development of SERS tags for human diseases screening and detection10.1016/j.ccr.2022.214711 ↗
14. A novel graphene-like titanium carbide MXene/Au–Ag nanoshuttles bifunctional nanosensor for electrochemical and SERS intelligent analysis of ultra-trace carbendazim coupled with machine learning10.1016/j.ceramint.2020.08.121 ↗
15. Docking and molecular dynamics simulation revealed the potential inhibitory activity of amygdalin in triple-negative breast cancer therapeutics targeting the BRCT domain of BARD1 receptor
16. Onco-immunity and therapeutic application of amygdalin: a review[J]
17. Amygdalin alleviated TGF-β-induced epithelial-mesenchymal transition in bronchial epithelial cells[J]
18. The postulated mechanism of action of amygdalin (vitamin B17) on cancer cells10.2174/1871520623666221124143751 ↗
19. Amygdalin, quackery or cure?10.1016/j.phymed.2016.02.004 ↗
20. Targeting proteolysis with cyanogenic glycoside amygdalin induces apoptosis in breast cancer cells[J]
21. Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification
22. Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering10.1016/j.trac.2019.115796 ↗
23. Recent development in fluorescent probes based on attacking of double bond and masking of functional group10.1016/j.cclet.2021.12.092 ↗
24. Voltammetric/UV-Vis study of temozolomide inclusion complexes with cyclodextrin derivatives10.1016/j.bioelechem.2020.107587 ↗
25. Rapid LC-MS/MS method for determination of drotaverine in a bioequivalence study10.1016/j.jpba.2014.06.029 ↗
26. Modified Ag nanoparticles on the regular array structure to improve the optical properties10.1016/j.jlumin.2021.118684 ↗
27. Ag nanoparticle-modified porous nickel foam nanotemplate: an efficient surface-enhanced Raman scattering platform for the rapid detection of artemisinin10.1063/5.0101873 ↗
28. Ultrasensitive SERS substrates based on Au nanoparticles photo-decorated on Cu2O microspheres for the detection of rhodamine B and methylene blue10.1016/j.apsusc.2022.152696 ↗
29. Ultrasensitive detection and distinction of pollutants based on SERS assisted by machine learning algorithms10.1016/j.snb.2023.133651 ↗
30. Ag nanoislands modified carbon fiber nanostructure: a versatile and ultrasensitive surface-enhanced Raman scattering platform for antiepileptic drug detection10.3390/coatings12010004 ↗
31. Optimization of surface enhanced Raman scattering performance based on Ag nanoparticle-modified vanadium-titanium nanorods with tunable nanogaps10.1364/OE.474108 ↗
32. Hierarchically rough CuO/Ag composite film with controlled morphology as recyclable SERS-active substrate10.1016/j.apsusc.2022.153746 ↗
33. MOFs-functionalized regenerable SERS sensor based on electrochemistry for pretreatment-free detection of serum alkaline phosphatase activity10.1016/j.snb.2022.132264 ↗
34. Cucurbiturils‐mediated noble metal nanoparticles for applications in sensing, SERS, theranostics, and catalysis10.1002/adfm.202007277 ↗
35. Effects of solvent polarity on the novel excited-state intramolecular thiol proton transfer and photophysical property compared with the oxygen proton transfer10.1016/j.saa.2023.122475 ↗
36. Study on annealed graphene oxide nano-sheets for improving the surface enhanced fluorescence of silver nanoparticles10.1016/j.optlastec.2022.109054 ↗
37. On-site detection of multiple extracellular antibiotic resistance genes using SERS10.1016/j.snb.2022.132262 ↗
38. Highly sensitive and reproducible SERS substrates with binary colloidal crystals (bCCs) based on MIM structures10.1016/j.apsusc.2022.153654 ↗
39. Determination of amygdalin in blood serum10.1080/00032717908067907 ↗
40. Gas chromatographic enzymic determination of amygdalin10.1016/S0021-9673(00)97846-4 ↗
41. Multienzyme inhibition biosensor for amygdalin measurement10.1002/(SICI)1521-4109(199806)10:7<512::AID-ELAN512>3.0.CO;2-V ↗
42. Label-free SERS detection of proteins based on machine learning classification of chemo-structural determinants10.1039/D0AN02137G ↗
43. Enhancement of the Au/ZnO-NA plasmonic SERS signal using principal component analysis as a machine learning approach10.1109/JPHOT.2020.3015740 ↗
44. Machine learning for rapid quantification of trace analyte molecules using SERS and flexible plasmonic paper substrates10.1039/D2AY00408A ↗
45. Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics10.1002/jrs.6447 ↗
46. Combining dense Au nanoparticle layers and 2D surface-enhanced Raman scattering arrays for the identification of mutant cyanobacteria using machine learning10.1021/acs.jpcc.2c00584 ↗