US 12,339,218 B2
Spectrum measuring device suitable for evaluating difference between spectra
Satoko Suzuki, Tokyo (JP); Taiji Oyama, Tokyo (JP); Yoshiro Kondo, Tokyo (JP); Hisashi Masago, Tokyo (JP); Yasuo Horiguchi, Tokyo (JP); and Koshi Nagamori, Tokyo (JP)
Assigned to JASCO CORPORATION, Tokyo (JP)
Filed by JASCO CORPORATION, Tokyo (JP)
Filed on Nov. 17, 2021, as Appl. No. 17/528,712.
Claims priority of application No. 2020-191690 (JP), filed on Nov. 18, 2020.
Prior Publication US 2022/0155220 A1, May 19, 2022
Int. Cl. G01N 21/31 (2006.01)
CPC G01N 21/31 (2013.01) [G01N 2201/12 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A spectrum measuring device for measuring a spectrum that can be plotted with the horizontal axis as a data point column and the vertical axis as a spectral value of each data point, and evaluating a difference between a reference spectrum acquired by measuring a reference substance and a sample spectrum acquired by measuring a target sample, the spectrum measuring device comprising:
a spectrum measuring section that measures a spectrum of the target sample and each spectrum of the reference substance;
a processor configured to derive a relation, as a weighting function (σ=f(HT)), between a gain-adjustment voltage value (HTi) in a certain data point and a degree of dispersion (σi) of a plurality of spectral values measured in that data point based on the gain-adjustment voltage value of each data point applied to a light detector and the acquired plurality of reference spectra, in measurement of the reference substance performed for a plurality of times; and
a storage that stores the weighting function;
wherein the processor is further configured to perform a numerical evaluation using the weighting function to evaluate the difference between the reference spectrum acquired by measuring the reference substance for one or more times and the sample spectrum;
wherein, in performing the numerical evaluation, the processor is configured to:
calculate a degree of individual coincidence between the sample spectrum and the reference spectrum for each data point, and calculate the degree of dispersion (σi) acquired by applying the gain-adjustment voltage value (HTi) of each data point of when the sample spectrum is measured to the weighting function (σ), wherein the calculated degree of dispersion (σi) is a weighting value (σi) according to the size of the noise component contained in the reference spectra; and
evaluate the difference between the reference spectrum and the sample spectrum based on the degree of individual coincidence to which the weighting value (σi) is applied.