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METODO PER LA QUANTIFICAZIONE DELL'ERGOTIONEINA (EG) TRAMITE SPETTROSCOPIA DI DIFFUSIONE RAMAN AMPLIFICATA DA SUPERFICI (SERS)
La presente invenzione rientra nel settore dei metodi analitici per rilevare la presenza e/o determinare la quantità di una biomolecola tramite la spettroscopia di diffusione Raman amplificata da superfici (SERS, Surface Enhanced Raman Scattering). In particolare, descrive un metodo SERS adatto per la determinazione quantitativa dell'ergotioneina (EG)
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Dataset for Direct comparison of different protocols to obtain Surface enhanced Raman spectra of human serum
<p>This dataset contains all the spectra used in "Direct comparison of different protocols to obtain Surface enhanced Raman spectra of human serum ". Data are available in a compressed folder ("Dataset serum spectra") containing all the 75 TXT files (1 file=1 spectrum) of the same serum sample analyzed with the 5 protocols presented in the article. </p>
<p>The script employed for loading, preprocessing, and analyzing the dataset is named "Script for spectra analysis." Furthermore, the DOCX file ("Instructions") provides details concerning the metadata embedded within the title of each TXT file. </p>
Data analysis in SERS diagnostics
Surface-enhanced Raman spectroscopy (SERS) datasets obtained from biomedical samples are rich in information, but this wealth of information is not always easy to get. Extracting the right information from this complexity is a challenging task. Preprocessing procedures and multivariate analysis methods are extremely powerful tools to help us in this task. These tools, however, are as powerful as dangerous, if not correctly used, and can easily lead to wrong conclusions. This chapter is a short introduction into the analysis and interpretation of SERS spectral data in biomedical studies. The aim is to give practical advices to the researcher through a quick overview of the most relevant techniques for data visualization and analysis, with an emphasis on both their capabilities and weaknesses
Direct comparison of different protocols to obtain surface enhanced Raman spectra of human serum
Label-free Surface Enhanced Raman Spectroscopy (SERS) is a rapid technique that has been extensively applied in clinical diagnosis and biomedicine for the analysis of biofluids. The purpose of this approach relies on the ability to detect specific “metabolic fingerprints” of complex biological samples, but the full potential of this technique in diagnostics is yet to be exploited, mainly because of the lack of common analytical protocols for sample preparation and analysis. Variation of experimental parameters, such as substrate type, laser wavelength and sample processing can greatly influence spectral patterns, making results from different research groups difficult to compare. This study aims at making a step toward a standardization of the protocols in the analysis of human serum samples with Ag nanoparticles, by directly comparing the SERS spectra obtained from five different methods in which parameters like laser power, nanoparticle concentration, incubation/deproteinization steps and type of substrate used vary. Two protocols are the most used in the literature, and the other three are “in-house” protocols proposed by our group; all of them are employed to analyze the same human serum sample. The experimental results show that all protocols yield spectra that share the same overall spectral pattern, conveying the same biochemical information, but they significantly differ in terms of overall spectral intensity, repeatability, and preparation steps of the sample. A Principal Component Analysis (PCA) was performed revealing that protocol 3 and protocol 1 have the least variability in the dataset, while protocol 2 and 4 are the least repeatable
The key role of ergothioneine in label‐free surface‐enhanced Raman scattering spectra of biofluids: a retrospective re‐assessment of the literature
: Label-free surface-enhanced Raman scattering (SERS) has recently gained attention in the field of liquid biopsy as a rapid and relatively inexpensive technique that could significantly ease clinical diagnosis and prognosis by investigating a biofluid sample with a laser. Indeed, SERS spectra provide information about a set of metabolites present in the analyzed biofluid thereby offering biochemical insight into specific health conditions. Ergothioneine plays a key role since it is one of the few metabolites in biofluids that are detectable by label-free SERS. In the past decade, many studies characterizing biofluids or other biological samples have unknowingly linked this amino acid with crucial metabolic processes, including inflammation, in a plethora of diseases. However, since the SERS spectrum of ergothioneine has been reported only recently, most past studies inadvertently assigned what are now recognized as the spectral features of this compound to other molecules. The purpose of the present review is to summarize and re-evaluate these studies in light of the recent SERS characterization of ergothioneine so as to better recognize the role of Ergothioneine in many clinical conditions
SERS spectroscopy for bioaerosol analysis and characterisation: challenges and future perspectives
Bioaerosols are microscopic airborne biological particles such as bacteria, fungal spores, pollen, viruses, and their
derivatives. The global spread of the COVID-19 pandemic as well as the rise of antibiotic resistance in healthcare
settings demonstrate how bioaerosols have become serious public health concerns in both outdoor and indoor
settings. Identifying and quantifying bioaerosol components is critical for assessing risks and setting appropriate
exposure limits.
Specifically, new research opportunities have arisen thanks to the proliferation of real-time (RT) methods for
autonomous, online detection and characterization of bioaerosols features [1]. However, effective online
bioaerosol monitoring is hindered by the complexity, diversity, and great spatiotemporal variability of
bioaerosols, as well as their mixing with abiotic components, both internally and externally. Though they are
effective, traditional methods for bioaerosol analysis—such as culture-based and molecular approaches—are
not always portable, have long processing periods, and can't always handle real-time analysis.
Because of its high sensitivity and specificity, and ability to be performed in complex biological mixtures, using
portable and relatively inexpensive devices, surface enhanced Raman scattering (SERS) spectroscopy has
attracted interest as a feasible method for detecting airborne pathogens at environmentally relevant
concentrations and sensing trace environmental contaminants, among many other potential applications [2].
Unlike spontaneous Raman scattering, SERS spectroscopy has a short assay time and requires far smaller
concentrations of analytes, making it particularly suited for bioaerosol studies. The possibility of a direct (also
known as “label free”) detection can reduce the need for complex sample preparation, while the availability of
portable instrumentation can facilitate on-site and RT monitoring.
However, the difficulty of standardising procedures to ensure consistent and comparable results, however, grows
with the development of new technologies. Because of the lack of standardised methodologies, SERS sensing of
bioaerosols remains challenging. Here we present state of the art in the use of SERS spectroscopy to examine
bioaerosols. A critical evaluation of the experimental aspects involved in the collection of SERS spectra is
presented, and the potential applicability and weaknesses of various experimental setups are highlighted,
helping to provide a solid foundation for further research and the practical implementation of SERS spectroscopy
for bioaerosol analysis and characterisation in various environmental and clinical settings
Label-free Surface Enhanced Raman Scattering (SERS) on Centrifugal Silver Plasmonic Paper (CSPP): A Novel Methodology for Unprocessed Biofluids Sampling and Analysis
Label-free SERS is a powerful bio-analytical technique in which molecular fingerprinting is combined with localized surface plasmons (LSPs) on metal surfaces to achieve high sensitivity. Silver and gold colloids are among the most common nanostructured substrates used in SERS, but since protein-rich samples such as serum or plasma can hinder the SERS effect due to protein–substrate interactions, they often require a deproteinization step. Moreover, SERS methods based on metal colloids often suffer from a poor reproducibility. Here, we propose a paper-based SERS sampling method in which unprocessed human serum samples are first soaked on paper strips (0.4 × 2 cm2), and then mixed with colloidal silver nanoparticles by centrifugation to obtain a Centrifugal Silver Plasmonic Paper (CSPP). The CSPP methodology has the potential to become a promising tool in bioanalytical SERS applications: it uses common colloidal substrates but without the need for sample deproteinization, while having a good reproducibility both in terms of overall spectral shape (r > 0.96) and absolute intensity (RSD < 10%). Moreover, this methodology allows SERS analysis more than one month after serum collection on the paper strip, facilitating storage and handling of clinical samples (including shipping from clinical sites to labs)
Red wine consumption: dietary option in the healthy lifestyle modification?
Moderate consumption of red wine reduces the risk of cardiovascular, neurodegenerative, cancer, and some other diseases. Among numerous bioactive compounds in the red wine, there is a large group of polyphenols, which are considered to be responsible for the health beneficial activity. They can be divided further into flavonoids (anthocyanins, flavanols, fla‐ vonols) and non‐flavonoids, such as phenolic acids (p‐coumaric, cinnamic, caffeic, gentisic, ferulic, and vanillic acids), and stilbenes (resveratrol). However, red wine consumption ex‐ hibits hormetic responses, thus acting protective at low doses, whereas high doses are detri‐ mental to the human health. Here, we present the rationale for the moderate red wine con‐ sumption as a dietary option in the healthy lifestyle modification
Experimental determination and prediction of bilitranslocase transport activity.
The transport activity of a membrane protein, bilitranslocase (T.C. # 2.A.65.1.1), which acts as a transporter of bilirubin from blood to liver cells, was experimentally determined for a large set of various endogenous compounds, drugs, purine and pyrimidine derivatives. On these grounds, the structure-activity models were developed following the OECD principles of QSAR models and their predictive ability for new chemicals was evaluated. The applicability domain of the models was estimated by Euclidean distances criteria according to the applied modeling method. The selection of the most influential structural variables was an important stage in the adopted modeling methodology. The interpretation of selected variables was performed in order to get an insight into the mechanism of transport through the cell membrane via bilitranslocase. Validation of the optimized models was performed by a previously determined validation set. The classification model was build to separate active from inactive compounds. The resulting accuracy, sensitivity, and specificity were 0.73, 0.89, and 0.64, respectively. Only active compounds were used to develop a predictive model for bilitranslocase inhibition constants. The model showed good predictive ability; Root Mean Squared error of the validation set, RMS(V)=0.29 log units
Potential of Surface Enhanced Raman Spectroscopy (SERS) in Therapeutic Drug Monitoring (TDM). A Critical Review
Surface-Enhanced Raman Spectroscopy (SERS) is a label-free technique that enables quick monitoring of substances at low concentrations in biological matrices. These advantages make it an attractive tool for the development of point-of-care tests suitable for Therapeutic Drug Monitoring (TDM) of drugs with a narrow therapeutic window, such as chemotherapeutic drugs, immunosuppressants, and various anticonvulsants. In this article, the current applications of SERS in the field of TDM for cancer therapy are discussed in detail and illustrated according to the different strategies and substrates. In particular, future perspectives are provided and special concerns regarding the standardization of self-assembly methods and nanofabrication procedures, quality assurance, and technology readiness are critically evaluated
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