SERS Signature of SARS-CoV-2 in Saliva and Nasopharyngeal Swabs: Towards Perspective COVID-19 Point-of-Care Diagnostics.

In this study, the intrinsic surface-enhanced Raman spectroscopy (SERS)-based approach coupled with chemometric analysis was adopted to establish the biochemical fingerprint of SARS-CoV-2 infected human fluids: saliva and nasopharyngeal swabs. The numerical methods, partial least squares discriminant analysis (PLS-DA) and support vector machine classification (SVMC), facilitated the spectroscopic identification of the viral-specific molecules, molecular changes, and distinct physiological signatures of pathetically altered fluids. Next, we developed the reliable classification model for fast identification and differentiation of negative CoV(-) and positive CoV(+) groups. The PLS-DA calibration model was described by a great statistical value-RMSEC and RMSECV below 0.3 and R2cal at the level of ~0.7 for both type of body fluids. The calculated diagnostic parameters for SVMC and PLS-DA at the stage of preparation of calibration model and classification of external samples simulating real diagnostic conditions evinced high accuracy, sensitivity, and specificity for saliva specimens. Here, we outlined the significant role of neopterin as the biomarker in the prediction of COVID-19 infection from nasopharyngeal swab. We also observed the increased content of nucleic acids of DNA/RNA and proteins such as ferritin as well as specific immunoglobulins. The developed SERS for SARS-CoV-2 approach allows: (i) fast, simple and non-invasive collection of analyzed specimens; (ii) fast response with the time of analysis below 15 min, and (iii) sensitive and reliable SERS-based screening of COVID-19 disease.

Volatile Organic Compound Exhaled Breath Sensing

This book chapter presents a broad overview of the application of nanotechnology in the biomedical area, exemplified by the application of several gas sensors (electrochemical sensors, piezoelectric sensors, optical, chemoresistive, metal oxide sensors, surface acoustic wave sensors) and focusing on the study of volatile organic compounds (VOCs) in exhaled breath for the screening of diseases of worldwide interest such as breast cancer, lung cancer, COVID-19, post COVID-19 syndrome, colorectal cancer, prostate cancer, diabetes, chronic obstructive disease, among others. This document aims to provide the state of the art in disruptive technologies based on nanosensors, especially electronic noses and the advances and perspectives in this field. The present work represents an important tool for researchers who are in the field of the development of sensing disruptive technologies for the study of VOCs in biological matrices (i.e., exhaled breath). Thus, the application of gas sensors has proven to be feasible in the biomedical area and a promising area within the diagnosis of communicable and non-communicable diseases, to be applied in POC settings, clinics, hospitals, doctors' offices, and especially in-field applications for less-favored populations where they lack the minimum resources to achieve universal health coverage. © 2023 Elsevier Ltd. All rights reserved

Preparation and FTIR-ATR combined with chemometrics analysis of self-emulsifying loaded sungkai extract from Peronema canecens

The use of immunomodulators is one strategy in maintaining the immune system during the Covid-19 pandemic. Sungkai leaf extract from Peronema canecens keeps the immune system in good shape. Therefore, in this study, we formulated a self-emulsifying loaded sungkai leaves extract (SE-SLE) with oleic acid and virgin coconut oil (VCO) oil phases, span 80 and tween 80 as surfactants and co-surfactants in the form of PEG-400 and PG. Chemometric analysis was conducted by observing the typical pattern in each FTIR-ATR spectra. The pattern is divided into several groups based on the wavenumber and analyzed using principal component analysis (PCA) to identify the compounds contained therein. Grouping based on chemical properties via IR spectra on SE-SLE resulted in two large groups. The results obtained are beneficial as initial information in developing and optimizing the self-nano emulsifying drug delivery system formula.Copyright © RJPT All right reserved.

Volatile Organic Compound Exhaled Breath Sensing

This book chapter presents a broad overview of the application of nanotechnology in the biomedical area, exemplified by the application of several gas sensors (electrochemical sensors, piezoelectric sensors, optical, chemoresistive, metal oxide sensors, surface acoustic wave sensors) and focusing on the study of volatile organic compounds (VOCs) in exhaled breath for the screening of diseases of worldwide interest such as breast cancer, lung cancer, COVID-19, post COVID-19 syndrome, colorectal cancer, prostate cancer, diabetes, chronic obstructive disease, among others. This document aims to provide the state of the art in disruptive technologies based on nanosensors, especially electronic noses and the advances and perspectives in this field. The present work represents an important tool for researchers who are in the field of the development of sensing disruptive technologies for the study of VOCs in biological matrices (i.e., exhaled breath). Thus, the application of gas sensors has proven to be feasible in the biomedical area and a promising area within the diagnosis of communicable and non-communicable diseases, to be applied in POC settings, clinics, hospitals, doctors’ offices, and especially in-field applications for less-favored populations where they lack the minimum resources to achieve universal health coverage.

The Role of Cannabis sativa L. as a Source of Cannabinoids against Coronavirus 2 (SARS-CoV-2): An In Silico Study to Evaluate Their Activities and ADMET Properties.

Cannabis sativa L. is an annual herbaceous plant that belongs to the family Cannabinaceae. In this study, the potential use of forty-five cannabinoids, previously identified from Cannabis sativa to alleviate COVID-19 infection via prohibition of crucial SARS-CoV-2 proteins using molecular docking, was examined. In silico studies were performed on three vital enzymes that serve as principle therapeutic targets to prevent SARS-CoV-2 replication. These enzymes are the main protease SARS-CoV-2 MPro, papain-like protease SARS-CoV-2 PLpro and angiotensin-converting enzyme 2 (ACE2). Regarding SARS-CoV-2 MPro, cannabichromanon (32) showed the best fitting within its active centers, followed by cannabinolic acid (22) and cannabinol (21), displaying ∆G of -33.63, -23.24, and -21.60 kcal/mol, respectively. Concerning SARS-CoV-2 PLpro, cannabichromanon (32) followed by cannabinolic acid (22) and cannabicyclolic acid (41) revealed the best binding within its active pockets owing to multiple bond formation with ∆G values of -28.36, -22.81, and -19.89 kcal/mol. Furthermore, cannabichromanon (32), cannabinolic acid (22), and cannabinol (21) showed considerable fitting within the active sites of angiotensin-converting enzyme 2 (ACE2) evidenced by their significant ∆G values that were estimated as -41.77, -31.34, and -30.36 kcal/mol, respectively. ADME/TOPKAT (absorption, distribution, metabolism, excretion, and toxicity) evaluation was performed on the tested cannabinoids to further explore their pharmacokinetics, pharmacodynamics, and toxicity properties. The results indicated the considerable pharmacokinetic, pharmacodynamic, and toxicity properties of cannabinol (21), cannabinolic acid (22), cannabichromanon (32), and cannabicyclolic acid (41) that showed best fitting scores within the active sites of the tested enzymes. Multivariate data analysis revealed that cannabichromanon and cannabinolic acid showed a discriminant nature and hence can be incorporated in pharmaceutical dosage forms to alleviate COVID-19 infection.