The embodiments disclose a method including determining populations of Lactobacilli bacterial species associated with a predetermined health level for genital microbiome conditions to screen ointment preparations and ingredients for their impact on the well-being of said bacterial species, identifying the dominant Lactobacillus species in the predetermined health level for genital microbiome conditions, gathering culturing data and monitoring data of different optional cannabinoid or terpenoid compounds on genital Lactobacilli cultures, analyzing the culturing data and monitoring data to assay categorized impact data of the different optional cannabinoid or terpenoid compounds on the genital Lactobacilli cultures, and providing a diagnostic tool for screening the impact of a ointment preparations and ingredients on the genital community microbiomes for the design of safe, effective ointment preparations and ingredients for genital use.

A peak extraction method for extracting a true peak from a measured waveform, including acquiring a second derivative waveform; extracting a provisional peak on the basis of a maximum value and/or a minimum value of the second derivative waveform; determining the peak width of the provisional peak on the basis of a model peak function; computing, on the basis of the model peak function, a theoretical value for the height of the provisional peak using two points corresponding to the two ends of the peak width; computing, based on the second derivative waveform, an index value for a variation in the noise on the measured waveform; and computing an S/N ratio, which is a ratio of the peak height theoretical value and the index value, and extracting the provisional peak that is equal to or greater than a preset value as the true peak.

A gas chromatograph with column recognition technology system for the column includes a column and the column recognition technology system for the column. The column is configured for gas chromatography. The column includes column parameters associated with the column. The column recognition technology system may be configured to auto-recognize the column in the gas chromatograph device. Wherein, the column recognition technology system may be configured to auto-recognize the column parameters associated with the auto-recognized column.

A gas chromatograph with a removable column holder includes a column and a removable column holder. The column is configured for gas chromatography. The removable column holder houses the column. The removable column holder is configured to be removable from the gas chromatograph device with the column. The removable column holder houses only the column. The removable column holder is configured to allow removing and interchanging of the column within the removable column holder. The removable column holder is configured to protect the column within the column holder from mechanical damage and contamination due to handling. The removable column holder is configured to allow a user to install the column into the gas chromatograph without the need for tools. The removable column holder is also configured to reduce the possibility of error when installing the column.

Techniques and apparatus for information assessment processes are described. In one embodiment, for example, a computer-implemented method for performing a review-by-exception process may include, via one or more processors of a computing device, accessing chromatography information generated via analyzing a sample using a mass spectrometry system, the chromatography information comprising at least one peak and at least one peak attribute for the at least one peak, determining posterior probability information for the chromatography information; generating an estimated peak model based on the posterior probability information, determining a confidence indicator for the estimated peak model, and generating an exception for the at least one peak responsive to the confidence indicator being outside of an exception threshold. Other embodiments are described.

Systems and methods are described for reducing lab-to-lab and/or instrument-to-instrument variability of Multi-Attribute Methods (MAM) analyses via run-time signal intensity calibration. In various aspects, multiple MAM-based instruments each have detectors and different instrument conditions defined by different instrument models or sets of settings. Each MAM-based instrument receives respective samples and a reference standard as a calibrant. Each MAM-based instrument detects, via its detector, sample isoforms of its respective sample and reference standard isoforms of the reference standard. The MAM-based instruments are associated with processor(s) that determine, via respective MAM iterations, correction factors and sample abundance values corresponding to the sample isoforms. The correction factors are based on the reference standard, and the sample abundance values are based on the correction factors. A variance value of the sample abundance values may be reduced based on correction factors of each of the MAM-based instruments.

An analysis device includes a main control circuit, a sub-control circuit, a backup execution part, and a restoration execution part. The main control circuit has a calibration information storage area for storing calibration information unique to the analysis device, and is configured to perform operation control unique to the analysis device using the calibration information. The sub-control circuit is communicable with the main control circuit and has a backup information storage area for storing the same information as the calibration information in the calibration information storage area. The backup execution part is configured to execute backup for storing information same as the calibration information stored in the calibration information storage area in the backup information storage area. The restoration execution part executes restoration for restoring the calibration information in the calibration information storage area based on the backup information stored in the backup information storage area of the sub-control circuit.

Disclosed is a novel means for accurate qualitative and quantitative analyses for each N-glycosylation site. The method of analyzing N-linked sugar chain(s) of glycoprotein according to the present invention comprises: treating a part of a glycopeptide-containing sample to be analyzed with endo--N-acetylglucosaminidases to cleave off sugar chains while leaving one GlcNAc of the chitobiose core on the Asn at the N-glycosylation site; subjecting the obtained sugar chain-cleaved sample to preliminary liquid chromatography/mass spectrometry; predicting the retention time of the glycopeptide of interest and the mass-to-charge ratio (m/z) of the precursor ion in main analysis based on the results of the preliminary liquid chromatography/mass spectrometry; and carrying out the main analysis. By this method, the binding sites and structures of N-linked sugar chains in a glycoprotein can be analyzed. By using the sugar chain-cleaved sample as an internal standard in the main analysis, quantitative analysis of sugar chains at each glycosylation site also becomes possible.

Exemplary embodiments of the present disclosure are directed to manipulating pressure-related hysteresis in a pressurized flow system by setting the pressure of the system to a predetermined location in the hysteresis band to advantageously minimize an effect of the pressure related hysteresis on the pressure of the system or to advantageously benefit from the effects of the hysteresis on the pressure of the system.

An analysis system includes a separation system that provides compounds to a sample cell of a spectrometric system. The system analyzes spectral information from the spectrometric system by optimizing retention windows for the compounds and identifies quantities of the compounds by comparing spectral information within and outside the respective retention windows. Information is displayed in windows of a user interface.