scholarly journals Universal Fabrication of Highly Efficient Plasmonic Thin‐Films for Label‐Free SERS Detection

Small ◽  
2021 ◽  
pp. 2100755
Author(s):  
Sara Gullace ◽  
Verónica Montes‐García ◽  
Victor Martín ◽  
David Larios ◽  
Valentina Girelli Consolaro ◽  
...  
Keyword(s):  
Thin Films ◽  
Label Free ◽  
Highly Efficient ◽  
Sers Detection

Pillar[5]arene-Based Supramolecular Plasmonic Thin Films for Label-Free, Quantitative and Multiplex SERS Detection

2017 ◽  
Vol 9 (31) ◽  
pp. 26372-26382 ◽  
Author(s):  
Verónica Montes-García ◽  
Borja Gómez-González ◽  
Diego Martínez-Solís ◽  
José M. Taboada ◽  
Norman Jiménez-Otero ◽  
...  
Keyword(s):  
Thin Films ◽  
Label Free ◽  
Sers Detection

scholarly journals Capacitive Field-effect (bio-)chemical Sensors Based on Nanocrystalline Diamond Films

2009 ◽  
Vol 1203 ◽  
Author(s):  
Matthias Bäcker ◽  
Arshak Poghossian ◽  
Maryam H. Abouzar ◽  
Sylvia Wenmackers ◽  
Stoffel D. Janssens ◽  
...  
Keyword(s):  
Thin Films ◽  
Field Effect ◽  
High Sensitivity ◽  
Ph Sensitive ◽  
Nanocrystalline Diamond ◽  
Penicillin G ◽  
Layer By Layer ◽  
Label Free ◽  
High Coverage ◽  
Layer Adsorption

AbstractCapacitive field-effect electrolyte-diamond-insulator-semiconductor (EDIS) structures with O-terminated nanocrystalline diamond (NCD) as sensitive gate material have been realized and investigated for the detection of pH, penicillin concentration, and layer-by-layer adsorption of polyelectrolytes. The surface oxidizing procedure of NCD thin films as well as the seeding and NCD growth process on a Si-SiO2 substrate have been improved to provide high pH-sensitive, non-porous thin films without damage of the underlying SiO2 layer and with a high coverage of O-terminated sites. The NCD surface topography, roughness, and coverage of the surface groups have been characterized by SEM, AFM and XPS methods. The EDIS sensors with O-terminated NCD film treated in oxidizing boiling mixture for 45 min show a pH sensitivity of about 50 mV/pH. The pH-sensitive properties of the NCD have been used to develop an EDIS-based penicillin biosensor with high sensitivity (65-70 mV/decade in the concentration range of 0.25-2.5 mM penicillin G) and low detection limit (5 μM). The results of label-free electrical detection of layer-by-layer adsorption of charged polyelectrolytes are presented, too.

Label-free SERS detection of proteins based on machine learning classification of chemo-structural determinants

The Analyst ◽  
2021 ◽  
Author(s):  
Andrea Barucci ◽  
Cristiano D'Andrea ◽  
Edoardo Farnesi ◽  
Martina Banchelli ◽  
Chiara Amicucci ◽  
...  
Keyword(s):  
Machine Learning ◽  
Label Free ◽  
Structural Determinants ◽  
Machine Learning Classification ◽  
Sers Detection ◽  
Biological Differences

We implement a machine learning classification of similar proteins by PCA mixed with multipeak fitting on SERS spectra for effective discrimination based on valid biological differences.

scholarly journals Application of Aluminum Hydroxide for Improvement of Label-Free SERS Detection of Some Cephalosporin Antibiotics in Urine

Biosensors ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 91 ◽  
Author(s):  
Natalia E. Markina ◽  
Alexey V. Markin
Keyword(s):  
Aluminum Hydroxide ◽  
Surface Enhanced Raman Spectroscopy ◽  
Negative Influence ◽  
Quantitative Detection ◽  
Therapeutic Drug ◽  
Excitation Wavelength ◽  
Sers Substrate ◽  
Label Free ◽  
Surface Enhanced Raman ◽  
Sers Detection

This report is dedicated to development of surface-enhanced Raman spectroscopy (SERS) based analysis protocol for detection of antibiotics in urine. The key step of the protocol is the pretreatment of urine before the detection to minimize background signal. The pretreatment includes extraction of intrinsic urine components using aluminum hydroxide gel (AHG) and further pH adjusting of the purified sample. The protocol was tested by detection of a single antibiotic in artificially spiked samples of real urine. Five antibiotics of cephalosporin class (cefazolin, cefoperazone, cefotaxime, ceftriaxone, and cefuroxime) were used for testing. SERS measurements were performed using a portable Raman spectrometer with 638 nm excitation wavelength and silver nanoparticles as SERS substrate. The calibration curves of four antibiotics (cefuroxime is the exception) cover the concentrations required for detection in patient’s urine during therapy (25/100‒500 μg/mL). Random error of the analysis (RSD < 20%) and limits of quantification (20‒90 μg/mL) for these antibiotics demonstrate the applicability of the protocol for reliable quantitative detection during therapeutic drug monitoring. The detection of cefuroxime using the protocol is not sensitive enough, allowing only for qualitative detection. Additionally, time stability and batch-to-batch reproducibility of AHG were studied and negative influence of the pretreatment protocol and its limitations were estimated and discussed.

scholarly journals Plasmonics for Biosensing

Materials ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1411 ◽  
Author(s):  
Xue Han ◽  
Kun Liu ◽  
Changsen Sun
Keyword(s):  
Thin Films ◽  
Molecular Level ◽  
Point Of Care ◽  
High Sensitivity ◽  
Short Review ◽  
Dynamic Monitoring ◽  
Label Free ◽  
Plasmonic Resonance ◽  
Hybrid Functions ◽  
Resonance Modes

Techniques based on plasmonic resonance can provide label-free, signal enhanced, and real-time sensing means for bioparticles and bioprocesses at the molecular level. With the development in nanofabrication and material science, plasmonics based on synthesized nanoparticles and manufactured nano-patterns in thin films have been prosperously explored. In this short review, resonance modes, materials, and hybrid functions by simultaneously using electrical conductivity for plasmonic biosensing techniques are exclusively reviewed for designs containing nanovoids in thin films. This type of plasmonic biosensors provide prominent potential to achieve integrated lab-on-a-chip which is capable of transporting and detecting minute of multiple bio-analytes with extremely high sensitivity, selectivity, multi-channel and dynamic monitoring for the next generation of point-of-care devices.

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