Method of determining urea in milk
    361.
    发明授权
    Method of determining urea in milk 失效
    牛奶中尿素的测定方法

    公开(公告)号:US5252829A

    公开(公告)日:1993-10-12

    申请号:US885642

    申请日:1992-05-19

    CPC classification number: G01N33/04 G01N21/3577 G01N2201/129 Y10S250/91

    Abstract: The concentration of urea in a concentration range of 0-0.1% in a milk sample containing at least 1% fat, at least 1% dissolved lactose, and at least 1% protein, is determined with an accuracy better than 0.007%, expressed as Standard Error of Prediction, by an infrared attenuation measuring technique, by determining, on the sample, the attenuation in the region of infrared radiation from 1000 cm.sup.-1 (10.0 .mu.m) to 4000 cm.sup.-1 (2.50 .mu.m), at least one determination being made in a waveband in the region from 1000 cm.sup.-1 (10.0 .mu.m) to 1800 cm.sup.-1 (5.56 .mu.m) in which urea absorbs, at least one other determination being made in a waveband in which fat absorbs, at least one further determination being made in a waveband where lactose absorbs, and at least one further determination being made in a waveband where protein absorbs; determining, on the basis of the thus determined attenuations and predetermined parameters established by multivariate calibration, the contribution from fat, lactose, and protein in the waveband where urea absorbs, and quantitatively assessing the concentration of urea in the sample on the basis of the absorption in the waveband where urea absorbs, and on the basis of the determined contribution from fat, lactose and protein in said waveband. The multivariate calibration may be performed by a Partial Least Squares algorithm, Principal Component Regression, Multiple Linear Regression, or Artificial Neural Network learning. Using the method according to the invention, compensation for the influence on the urea measurement may further be performed for one or several of the following components: citric acid, free fatty acids, antibiotics, phosphates, somatic cells, bacteria, preservatives and casein.

    Abstract translation: 在含有至少1%脂肪,至少1%溶解乳糖和至少1%蛋白质的牛奶样品中浓度范围为0-0.1%的尿素浓度以高于0.007%的精度确定,表示为 通过红外衰减测量技术,通过在样品上确定从1000cm -1(10.0μm)到4000cm -1(2.50μm)的红外辐射区域中的衰减,至少预测的标准误差 在尿素吸收的1000cm -1(10.0μm)〜1800cm -1(5.56μm)的范围内的波带中进行一次测定,在脂肪吸收的波段中进行至少一个其它测定, 在乳糖吸收的波段中进行至少一个进一步的测定,并且在蛋白质吸收的波段中进行至少一个进一步的测定; 根据如此确定的衰减和通过多元校准建立的预定参数,确定尿素吸收的波段中脂肪,乳糖和蛋白质的贡献,并根据吸收定量评估样品中的尿素浓度 在尿素吸收的波段中,并且基于所述波段中脂肪,乳糖和蛋白质的确定贡献。 多变量校准可以通过部分最小二乘算法,主成分回归,多重线性回归或人工神经网络学习来执行。 使用根据本发明的方法,可以进一步对以下组分中的一种或几种进行对尿素测量的影响的补偿:柠檬酸,游离脂肪酸,抗生素,磷酸盐,体细胞,细菌,防腐剂和酪蛋白。

    On-line process control monitoring system
    362.
    发明授权
    On-line process control monitoring system 失效
    在线过程控制监控系统

    公开(公告)号:US5131746A

    公开(公告)日:1992-07-21

    申请号:US643316

    申请日:1991-01-22

    Abstract: An on-line, fiber-optic based apparatus for monitoring the concentration of a chemical substance at a plurality of locations in a chemical processing system comprises a plurality of probes, each of which is at a different location in the system, a light source, optic fibers for carrying light to and from the probes, a multiplexer for switching light from the source from one probe to the next in series, a diode array spectrophotometer for producing a spectrum from the light received from the probes, and a computer programmed to analyze the spectra so produced. The probes allow the light to pass through the chemical substance so that a portion of the light is absorbed before being returned to the multiplexer. A standard and a reference cell are included for data validation and error checking.

    Abstract translation: 一种用于监测化学处理系统中多个位置处的化学物质浓度的在线光纤设备包括多个探针,每个探针位于系统中的不同位置,光源, 用于将光传送到探针和从探针携带光的光纤,用于将源自一个探针的光从串联切换到下一个探针的多路复用器,用于从从探针接收的光产生光谱的二极管阵列分光光度计,以及被编程为分析的计算机 如此制作的光谱。 探针允许光通过化学物质,使得一部分光在返回到多路复用器之前被吸收。 包括标准和参考单元用于数据验证和错误检查。

    Method of correcting for an amplitude change in a spectrometer

    公开(公告)号:US11965823B2

    公开(公告)日:2024-04-23

    申请号:US17629532

    申请日:2020-05-29

    Abstract: A method of correcting for an amplitude change in a spectrometric instrument output includes: exposing a sample in a sample holder to electromagnetic radiation at a plurality of wavenumbers; detecting electromagnetic absorption intensities in the sample at the plurality of wavenumbers; providing to a computer device the detected electromagnetic absorption intensities indexed against wavenumber as spectral data; applying in the computer device a mathematical transform (Icorr) to the spectral data to correct for an amplitude change in the spectrometric instrument's output and calculated by determining a difference (Δ(SBZ)/) between first derivatives of a logarithmic transformation of spectral data (SBZ) from the zero material sample at two different wavenumber ranges (log10(SBZ(x1))/ and log10(SBZ(x2))/); and calculating the mathematical transform (Icorr) as a function inversely dependent on the determined difference (Δ(SBZ)/).

    Component analysis device and component analysis method

    公开(公告)号:US11927532B2

    公开(公告)日:2024-03-12

    申请号:US17124645

    申请日:2020-12-17

    CPC classification number: G01N21/6428 G01N21/6408 G01N33/02 G01N2201/129

    Abstract: A component analysis device includes a data acquisition circuit that acquires spectral data of an analyte containing components, the spectral data being obtained by measuring a spectrum of the analyte with a sensor, a type acquisition circuit that acquires information indicating a type of the analyte, a storage that stores a reference spectral data set including multiple spectral data of substances each of which is estimated to be included in the analyte, the reference spectral data set corresponding to the type of the analyte, and an analysis circuit that performs a parallel factor analysis by using, as input data, the spectral data of the analyte and the reference spectral data set.

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