A method for assessing a cancer status of biological tissue includes the steps of: obtaining a Raman spectrum indicating a Raman spectroscopy response of the biological tissue, the Raman spectrum captured using a fiber-optic probe of a fiber-optic Raman spectroscopy system; inputting the Raman spectrum into a boosted tree classification algorithm of a computer program, and using the boosted tree classification algorithm for comparing, in real-time, the captured Raman spectrum to reference data and assessing the cancer status of the biological tissue based on said comparison, the reference data being previously determined based on a set of reference Raman spectra indicating Raman spectroscopy responses of reference biological tissues wherein each of the reference biological tissues is associated with a known cancer status; and generating a real-time output indicating the assessed cancer status of the biological tissue,

A method for sample analysis that employs a signal-amplifying nanosensor is provided. An implementation of the present method may include a) obtaining a sample, b) applying the sample to a signal-amplifying nanosensor containing a capture agent that binds to an analyte of interest, under conditions suitable for binding of the analyte in a sample to the capture agent, c) washing the signal-amplifying nanosensor, and d) reading the signal-amplifying nanosensor, thereby obtaining a measurement of the amount of the analyte in the sample. In some embodiments, the analyte may be a biomarker, an environmental marker, or a foodstuff marker. Also provided herein are kits that find use in performing the present method.

A chemical pattern recognition method for evaluating the quality of a traditional Chinese medicine based on medicine effect information, comprising: collecting chemical information of a traditional Chinese medicine sample, obtaining medicine effect information reflecting a clinical therapeutic effect thereof, performing spectrum-effect relationship analysis on the chemical information and the medicine effect information, and obtaining an index significantly related to the medicine effect as a feature chemical index; dividing the traditional Chinese medicine sample into a training set and a test set; using a pattern recognition method to extract a feature variable from samples of the training set by taking the feature chemical index as an input variable; building a pattern recognition model using the feature variable; and substituting feature variable values of samples of the test set into the model, and completing chemical pattern recognition evaluation of the quality of the traditional Chinese medicine. According to the method, chemical reference substances are not needed, the chemical pattern recognition model is built on the basis of the feature chemical index reflecting the medicine effect, the one-sidedness and the subjectivity of the existing standards are overcome, and a traditional Chinese medicine quality evaluation system capable of reflecting both the clinical therapeutic effect and overall chemical composition information is finally formed.

The present invention relates to an in vitro method for analysing liquid samples as to the presence, identity and properties of a virus comprising: a) analyzing said liquid samples for a virus spectroscopically by means of spontaneous Raman spectroscopy; and b) comparing the spectroscopic data to a database and identifying said virus. The present invention further relates to an in vitro method for analyzing exosomes in a liquid sample of a subject comprising: a) isolating exosomes from the liquid sample; b) analyzing said exosomes spectroscopically by means of spontaneous Raman spectroscopy; and c) obtaining a Raman spectrum for said exosomes. The present invention also refers to a device for analysing a liquid sample as to the presence, identity and properties of viruses; and to a device for analyzing exosomes in a liquid sample. Also envisaged are a method for monitoring a viral infection in a cell or group of cells and a method of monitoring the antiviral treatment effect in a virus infected cell or group of cells, as well as a system comprising said device and a module comprising a database comprising reference values of Raman spectra.

The present invention relates to an in vitro method for analysing liquid samples as to the presence, identity and properties of a virus comprising: a) analyzing said liquid samples for a virus spectroscopically by means of spontaneous Raman spectroscopy; and b) comparing the spectroscopic data to a database and identifying said virus. The present invention further relates to an in vitro method for analyzing exosomes in a liquid sample of a subject comprising: a) isolating exosomes from the liquid sample; b) analyzing said exosomes spectroscopically by means of spontaneous Raman spectroscopy; and c) obtaining a Raman spectrum for said exosomes. The present invention also refers to a device for analysing a liquid sample as to the presence, identity and properties of viruses; and to a device for analyzing exosomes in a liquid sample. Also envisaged are a method for monitoring a viral infection in a cell or group of cells and a method of monitoring the antiviral treatment effect in a virus infected cell or group of cells, as well as a system comprising said device and a module comprising a database comprising reference values of Raman spectra.

Apparatus and methods for spectral analysis of a sample are described, for example for carrying out Raman or other optical or spectroscopic analysis of samples such as pharmaceutical dosage forms, including oral solid dosage forms such as tablets or capsules. Such apparatus may comprise delivery optics arranged to direct probe light to a delivery region of the sample, collection optics arranged to collect probe light scattered from a collection region of the sample, and a spectrometer having an entrance port, the spectrometer being arranged to receive the collected probe light from the collection optics at the entrance port of the spectrometer, and to detect spectral features in the received probe light. In particular, the collection optics may comprise Koehler integration optics arranged to process the collected probe light such that the collected light from each point of the collection region is distributed across the entrance port of the spectrometer.

A highly efficient and non-invasive automated diagnosis method of some inflammatory bowel diseases, such as Ulcerative Colitis (UC) and Crohn's Disease (CD), which always allows to avoid duodenal biopsy. Such a method is based on spectroscopic analysis by Raman technique, which operates directly on a protein extract of feces, and reduces the burden of the diagnosis, simultaneously being preferably useful for the automated distinction between Ulcerative Colitis (UC) and Crohn's Disease (CD).

A highly efficient and non-invasive automated diagnosis method of some inflammatory bowel diseases, such as Ulcerative Colitis (UC) and Crohn's Disease (CD), which always allows to avoid duodenal biopsy. Such a method is based on spectroscopic analysis by Raman technique, which operates directly on a protein extract of feces, and reduces the burden of the diagnosis, simultaneously being preferably useful for the automated distinction between Ulcerative Colitis (UC) and Crohn's Disease (CD).

A measurement system configured to examine a sample. The system comprises an internally reflective element, a contact member, an actuator, an optical assembly, a sensor, and a controller. The contact member and the reflective element are configured to apply a force to the sample. The optical assembly is configured to scan the sample. Whereby prior to the scan, an initial force is applied to the sample, and after the scan, a resulting force is applied to the sample. The sensor is configured to detect the resulting force applied to the sample, and the controller is configured to receive a signal from the sensor indicative of the detected resulting force. The controller is further configured to control the actuator to adjust the force applied to the sample by the contact member and the internally reflective element from the resulting force to the initial force.

An example biosensor includes a substrate, a graphene layer disposed on the substrate, and a binding site bonded to the graphene. The binding site includes an antibody configured to bind a SARS-CoV-2 spike glycoprotein.