We describe a method and apparatus for detecting humidity using a Field Asymmetric Ion Mobility Spectrometry (FAIMS) system. The system may comprise an ionizer for generating ions within a gas sample, wherein each ion has an associated ion mobility; an ion filter for separating the ions by applying a compensation field and a dispersion field to the generated ions; a detector for detecting an output from the ion filter; and a processor. The processor may be configured to extract a spectrum of peak intensity of the detected output as a function of the compensation field and the dispersion field; calculate a turning point for the extracted spectrum; determine operating parameters of the field asymmetric ion mobility system; obtain, from a database, a plurality of known turning points each of which have an associated humidity and each of which were obtained using a field asymmetric ion mobility system having operating parameters aligned with the determined operating parameters; and determine the humidity by comparing the calculated turning point with known turning points.

A waveform analytical device 4 which analyzes a target waveform which is a chromatogram or an optical spectrum includes a waveform division unit 54 configured to divide the target waveform into a plurality of partial waveforms, a determination unit 55 configured to determine whether each of the plurality of partial waveforms of the target waveform is a peak portion using a learned model created by machine learning using a plurality of sets of a plurality of partial waveforms created by dividing a reference waveform having a peak portion whose position is known, and a classification unit 56 configured to classify the target waveform into a peak region where the peak portion continues and a non-peak region other than the peak region based on a determination result from the determination unit.

An analysis method of performing an analysis on a sample containing a first substance and a second substance that has an influence on an analysis of the first substance in regard to a concentration of the first substance, includes performing an analysis on the sample in regard to the concentration of the first substance to obtain sample analysis data, and deriving a result of analysis in regard to a concentration of the first substance based on the sample analysis data and adjustment information that is set based on the influence.

An analysis method of performing an analysis on a sample containing a first substance and a second substance that has an influence on an analysis of the first substance in regard to a concentration of the first substance, includes performing an analysis on the sample in regard to the concentration of the first substance to obtain sample analysis data, and deriving a result of analysis in regard to a concentration of the first substance based on the sample analysis data and adjustment information that is set based on the influence.

In a mass spectrometer, due to impurities accumulated inside a frame, a withstand voltage may decrease, and electric discharge may occur in an ion source, thereby making it impossible to perform normal measurement. Since a result of abnormality measurement due to the electric discharge cannot be distinguished from measurement abnormality caused by clogging of a tube between a pretreatment unit and a needle, there is a problem in that time is required to identify abnormal portions, and a maintenance property is lowered. As a unit for solving the problem, a return current detection unit connected in series between the frame and an ion source power supply that applies a voltage to the needle and a return current detection unit connected in series between the frame and a counter electrode power supply that applies a voltage to a counter electrode are provided.

A mass spectrometry method includes detecting, in a first mass spectrometry of a sample containing a glycan having a plurality of sialic acids each modified differently, a plurality of oxonium ions derived from each of the plurality of sialic acids, and calculating relative values of intensities of the plurality of oxonium ions based on data obtained by the detection.

The present invention relates to compositions and methods relating to biomarkers (e.g., calcitriol (i.e., 1,25(OH).sub.2D.sub.3) to 24,25-dihydroxyvitamin D.sub.3 (i.e., 24,25(OH).sub.2D.sub.3) to calcifediol (i.e., 25(OH)D.sub.3) proportion ratio (C24CPR)) that can be used for detection and treatment assessment of vitamin D deficiency or vitamin D imbalance and/or diseases or disorders associated with vitamin D deficiency or vitamin D imbalance, such as cancer, in a subject in need thereof. The present invention also provides methods of diagnosing vitamin D deficiency or vitamin D imbalance and/or diseases or disorders associated with vitamin D deficiency or vitamin D imbalance and distinguishing between different types of diseases or disorders associated with vitamin D deficiency or vitamin D imbalance (e.g., cancer vs autoimmune disease or disorder).

The present invention relates to compositions and methods relating to biomarkers (e.g., calcitriol (i.e., 1,25(OH).sub.2D.sub.3) to 24,25-dihydroxyvitamin D.sub.3 (i.e., 24,25(OH).sub.2D.sub.3) to calcifediol (i.e., 25(OH)D.sub.3) proportion ratio (C24CPR)) that can be used for detection and treatment assessment of vitamin D deficiency or vitamin D imbalance and/or diseases or disorders associated with vitamin D deficiency or vitamin D imbalance, such as cancer, in a subject in need thereof. The present invention also provides methods of diagnosing vitamin D deficiency or vitamin D imbalance and/or diseases or disorders associated with vitamin D deficiency or vitamin D imbalance and distinguishing between different types of diseases or disorders associated with vitamin D deficiency or vitamin D imbalance (e.g., cancer vs autoimmune disease or disorder).

An analysis device collects data by performing a predetermined analysis on each specimen and processes the data. The analysis device includes an analysis processing unit (23) configured to execute multivariate analysis processing based on collected data for analysis of a difference between a plurality of measurement targets or classification of the plurality of measurement targets, a feature extraction unit (24) configured to extract a characteristic parameter or element estimated to be mainly related to a difference or classification from a multivariate analysis result according to a predetermined criterion, an image creation unit (25) configured to create an image of a predetermined two-dimensional range corresponding to the parameter or element extracted by the feature extraction unit, and a display processing unit (26) configured to assign a same visual aspect to the characteristic parameter or element extracted on the multivariate analysis result and the image created correspondingly and display the multivariate analysis result and the image on a display unit (4).

A charge detector includes: a charge sensor that senses a charged analyte and produces a charge signal in response to contact with the charged analyte; a transducer in electrical communication with the charge sensor and that: receives the charge signal from the charge sensor, receives a feedback control signal; and produces a transduction signal in response to receipt of the charge signal and the feedback control signal; and a sensitivity controller in electrical communication with the transducer and that: receives the transduction signal from the transducer; produces the feedback control signal in response to receipt of the transduction signal from the transducer; and produces a charge readout in response to receipt of the transduction signal from the transducer.