紫外分光光度计检测标准紫外分光光度计-中析研究所检测

(CMA)

(CNAS)

(ISO)

(高新技术企业)

紫外分光光度计相关标准参考信息

GB/T 34323-2017 炭黑水分散体透光率的测定分光光度计法
简介：
信息：ICS：83.040.30 CCS：G49 发布：2017-09-07 实施：2018-04-01 00:00:00.0

ASTM D6122-20a 多变量在线、在线、现场和实验室红外分光光度计和基于拉曼光谱仪的分析仪系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2020-10-01 实施：

ASTM D6756-10(2015) 使用便携式可见分光光度计测定红色染料浓度的标准测试方法和柴油和加热油的ASTM颜色的估计
简介：
信息：ICS：71.040.50 CCS：发布：2015-10-01 实施：

GB/T 26813-2011 双光束紫外可见分光光度计
简介：本标准规定了双光束紫外可见分光光度计的分级、要求、试验方法、检验规则和标志、包装、运输及贮存等。本标准适用于具有独立参比光束及独立参比样品池，主要光谱区为200nm～900nm，波长连续可调的双光束紫外可见分光光度计（以下简称“仪器”），波长范围与此相近的双光束分光光度计也可参考使用。
信息：ICS：71.040.01 CCS：N53 发布：2011-07-29 实施：2011-12-01

JJF 1836-2020 微量分光光度计校准规范
简介：
信息：ICS： CCS：发布：2020-07-02 实施：2021-01-02

ASTM D6122-15 多变量在线、在线和实验室红外分光光度计分析系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2015-06-01 实施：

GB/T 26798-2011 单光束紫外可见分光光度计
简介：本标准规定了单光束紫外可见分光光度计的分级、要求、试验方法、检验规则和标志、包装、运输及贮存等。本标准适用于主要光谱区为200nm～900nm，波长连续可调的单光束紫外可见分光光度计（以下简称“仪器”），波长范围与此相近的专用分光光度计也可参考使用。
信息：ICS：71.040.01 CCS：N53 发布：2011-07-29 实施：2011-12-01

ASTM D6122-20 多变量在线、在线、现场和实验室红外分光光度计和基于拉曼光谱仪的分析仪系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2020-05-01 实施：

ASTM E2729-09(2015) 分光光度计带通差分校正的标准实践
简介：
信息：ICS：71.040.50 CCS：发布：2015-04-01 实施：

GB/T 26810-2011 可见分光光度计
简介：本标准规定了可见分光光度计的产品分级、技术要求、试验方法、检验规则、标志、包装、运输、贮存。本标准适用于主要光谱区为360 nm～900 nm，波长连续可调的可见分光光度计（以下简称"仪器"），与此波长范围相近的专用分光光度计也可参考使用。
信息：ICS：71.040.10 CCS：N53 发布：2011-07-29 实施：2011-12-01

ASTM D6122-19b 多变量在线、在线和实验室红外分光光度计分析系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2019-06-01 实施：

ASTM D6122-2015 多变量联机和实验室基于红外分光光度计的分析仪系统的性能确认的标准实施规程
简介：5.1x00a0;The primary purpose of this practice is to permit the user to validate numerical values produced by a multivariate, infrared or near-infrared laboratory or process (online or at-line) analyzer calibrated to measure a specific chemical concentration, chemical property, or physical property. The validated analyzer results are expected to be statistically indistinguishable, over diverse samples whose spectra are neither outliers or nearest neighbor inliers, to those produced by the primary test method to within control limits established by control charts for the prespecified statistical confidence level. 5.2x00a0;Procedures are described for verifying that the instrument, the model, and the analyzer system are stable and properly operating. 5.3x00a0;A multivariate analyzer system inherently utilizes a multivariate calibration model. In practice the model both implicitly and explicitly spans some subset of the population of all possible samples that could be in the complete multivariate sample space. The model is applicable only to samples that fall within the subset population used in the model construction. A sample measurement cannot be validated unless applicability is established. Applicability cannot be assumed. 5.3.1x00a0;Outlier detection methods are used to demonstrate applicability of the calibration model for the analysis of the process sample spectrum. The outlier detection limits are based on historical as well as theoretical criteria. The outlier detection methods are used to establish whether the results obtained by an analyzer are potentially valid. The validation procedures are based on mathematical test criteria that indicate whether the process sample spectrum is within the range spanned by the analyzer system calibration model. If the sample spectrum is an outlier, the analyzer result is invalid. If the sample spectrum is not an outlier, then the analyzer result is valid providing that all other requirements for validity are met. Additional, optional tests may be performed to determine if the process sample spectrum falls in a sparsely populated region of the multivariate space covered by the calibration set, too far from neighboring calibration spectra to ensure good interpolation. For example, such nearest neighbor tests are recommended if the calibration sample spectra are highly clustered. 5.3.2x00a0;This practice does not define mathematical criteria to determine from a spectroscopic measurement of a sample whether the sample, the model, or the instrument is the cause of an outlier measurement. Thus the operator who is measuring samples on a routine basis will find criteria in the outlier detection method to determine whether a sample measurement lies within the expected calibration space, but will not have specific information as to the cause of the outlier without additional testing. 1.1x00a0;This practice covers requirements for the validation of measurements made by laboratory or process (online or at-line) near- or mid-infrared analyzers, or both, used in the calculation of physical, chemical, or quality parameters (that is, properties) of liquid petroleum products and fuels. The properties are calculated from spectroscopic data using multivariate modeling methods. The requirements include verification of adequate instrument performance, v......
信息：ICS：17.180.30 CCS：发布：2015 实施：

GB/T 25968-2010 分光光度计测量材料的太阳透射比和太阳吸收比试验方法
简介：本标准规定了全玻璃真空太阳集热管的罩玻璃管太阳透射比和选择性吸收涂层太阳吸收比的测量仪器和试验方法。本标准适用于太阳能应用材料与元件。
信息：ICS：27.160 CCS：F01 发布：2011-01-10 实施：2011-04-01

ASTM D6122-19a 多变量在线、在线和实验室红外分光光度计分析系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2019-05-01 实施：

ASTM E387-04(2014) 通过不透明过滤法估算分散型分光光度计的杂散辐射功率比的标准测试方法
简介：
信息：ICS：17.180.30 CCS：发布：2014-08-01 实施：

GB/T 22182-2008 油菜籽叶绿素含量测定.分光光度计法
简介：本标准规定了用分光光度计法测定油菜籽中叶绿素含量的方法。本方法不适用于油脂中叶绿素含量的测定。
信息：ICS：67.200.20 CCS：X14 发布：2008-07-16 实施：2008-11-01

ASTM D7058-19 用便携式可见分光光度计测定航空涡轮燃料和煤油的红色染料浓度和赛波特颜色估计的标准试验方法
简介：
信息：ICS：75.160.20 CCS：发布：2019-05-01 实施：

ASTM D7058-04(2014) 用便携式可见分光光度计测定航空涡轮燃料和煤油的红色染料浓度和赛波特颜色估计的标准试验方法
简介：
信息：ICS：75.160.20 CCS：发布：2014-05-01 实施：

GB/T 21187-2007 原子吸收分光光度计
简介：本标准规定了原子吸收分光光度计的要求、试验方法、检验规则和标志、包装、运输及贮存、质量保证等。本标准适用于具有火焰原子化、电热原子化功能的原子吸收分光光度计（以下简称“仪器”）。
信息：ICS：71.040.01 CCS：N53 发布：2007-09-12 实施：2008-05-01

ASTM D6122-19 多变量在线、在线和实验室红外分光光度计分析系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2019-01-01 实施：

ASTM E925-09(2014) 用于监测光谱带宽不超过2 nm的紫外可见分光光度计校准的标准实践
简介：
信息：ICS：17.180.30 CCS：发布：2014-05-01 实施：

ASTM D8496-23 用紫外-可见（UV-Vis）分光光度计测定乙酸乙烯酯单体（VAM）中氢醌（HQ）含量的标准试验方法
简介：
信息：ICS： CCS：发布：2023-02-01 实施：

ASTM C1865-18 用直接燃烧红外分光光度计测定氧化钚粉末中碳和硫含量的标准试验方法
简介：
信息：ICS：27.120.30 CCS：发布：2018-10-01 实施：

GOST 33092-2014 石油产品. 使用自动三色分光光度计测定颜色的试验方法
简介：
信息：ICS：75.080 CCS：E30 发布：2014 实施：2016-07-01

ASTM D6748-22 测定由苯醌和苯醌存在引起的中间馏分燃料潜在不稳定性的标准试验方法（便携式分光光度计快速法）
简介：
信息：ICS：75.160.20 CCS：发布：2022-12-01 实施：

ASTM D6122-18 多变量在线、在线和实验室红外分光光度计分析系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2018-07-01 实施：

ASTM E2175-01(2013) 指定多光谱分光光度计几何的标准实践
简介：
信息：ICS：17.180.30 CCS：发布：2013-10-01 实施：

ASTM E925-09(2022) 光谱带宽不超过2nm的紫外可见分光光度计校准的监测标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2022-11-01 实施：

NF A06-341-1-2018 钢和铸铁.硅总含量的测定.还原的钼硅酸盐分光光度计法.第1部分：硅含量在0.05%至1%范围内
简介：Le présent document spécifie une méthode spectrophotométrique au silicomolybdate réduit pour la détermination du silicium dans les aciers et les fontes.
信息：ICS：77.080.01 CCS：H11 发布：2018-05-02 实施：2018-06-23

ASTM D6122-13 多变量在线、在线和实验室红外分光光度计分析系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2013-05-01 实施：

ASTM E387-04(2022) 用不透明滤光器法估算色散分光光度计杂散辐射功率比的标准试验方法
简介：
信息：ICS：17.180.30 CCS：发布：2022-11-01 实施：

ASTM D6748-02a(2017) 确定由苯甲烯和苯醚酮存在引起的中间馏分燃料的潜在不稳定性的标准试验方法（便携式分光光度计的快速方法）
简介：
信息：ICS：75.160.20 CCS：发布：2017-10-01 实施：

NF T51-805-2013 塑料.红外分光光度计的性能检定
简介：
信息：ICS：83.080.01 CCS：G31 发布：2013-03-06 实施：2013-03-06

ASTM D6122-22 多变量在线、在线、现场和实验室红外分光光度计和基于拉曼光谱仪的分析仪系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2022-04-01 实施：

KS B 5570-2017(2022) UV/Vis分光光度计性能测试
简介：
信息：ICS：19.040 CCS：发布：2017-09-28 实施：

ASTM E1866-97(2013) 建立分光光度计性能测试的标准指南
简介：
信息：ICS：17.180.30 CCS：发布：2013-01-01 实施：

ASTM E275-08(2022) 描述和测量紫外和可见分光光度计性能的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2022-01-01 实施：

JJF 1641-2017 紫外可见分光光度计型式评价大纲
简介：
信息：ICS： CCS：发布：2017-09-26 实施：2017-12-26

ASTM E275-08(2013) 描述和测量紫外和可见分光光度计性能的标准实践
简介：
信息：ICS：17.180.30 CCS：发布：2013-01-01 实施：

ASTM E2175-01(2021) 规定多角度分光光度计几何形状的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2021-10-01 实施：

ASTM D6756-17 使用便携式可见分光光度计测定红色染料浓度的标准测试方法和柴油和加热油的ASTM颜色的估计
简介：
信息：ICS：71.040.50 CCS：发布：2017-05-01 实施：

ASTM E958-13 紫外可见分光光度计光谱带宽估算标准实践
简介：
信息：ICS：17.180.30 CCS：发布：2013-01-01 实施：

ASTM D6122-21 多变量在线、在线、现场和实验室红外分光光度计和基于拉曼光谱仪的分析仪系统性能验证的标准实施规程
简介：
信息：ICS：17.180.30 CCS：发布：2021-05-01 实施：

ASTM D6756-2017 用便携式可见分光光度计测定柴油燃料和燃油红染料浓度并且评估ASTM颜色的标准试验方法
简介：5.1x00a0;In the United States, high sulfur content (defined by the United States Environmental Protection Agency (USEPA)) middle distillate products and diesel fuel used for off-road purposes, other than aviation turbine fuel, are required by government agencies to contain red dye. The dye concentration required to be present in high-sulfur and off-road diesel products is regulated by the United States Environmental Protection Agency and the United States Internal Revenue Service, respectively. 5.2x00a0;Some fuels that are readily exchanged in the market have a color specification. The color of the base fuel is masked by the presence of the red dye. This test method provides a means of estimating the base color of Number 1 and Number 2 diesel fuel and heating oil in the presence of red dye. 5.3x00a0;The test method provides a means to indicate conformance to contractual and legal requirements. 1.1x00a0;This test method covers the determination of the red dye concentration of diesel fuel and heating oil and the estimation of the ASTM color of undyed and red-dyed diesel fuel and heating oil. The test method is appropriate for use with diesel fuel and heating oil of Grades 1 and 2 described in Specifications D396, D975, D2880, and D3699. Red dye concentrations are determined at levels equivalent to 0.18201;mg/L to 208201;mg/L of Solvent Red 26 in samples with ASTM colors ranging from 0.5 to 5. The ASTM color of the base fuel of red-dyed samples with concentration levels equivalent to 0.18201;mg/L to 208201;mg/L of Solvent Red 26 is estimated for the ASTM color range from 0.5 to 5. The ASTM color of undyed samples is estimated over the ASTM color range of 0.5 to 5. 1.2x00a0;The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard. 1.3x00a0;This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use. 1.4x00a0;This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.
信息：ICS：71.040.50 CCS：E34 发布：2017 实施：

ASTM D6122-2013 多变量联机和实验室基于红外分光光度计的分析仪系统的性能确认的标准实施规程
简介：5.1x00a0;The primary purpose of this practice is to permit the user to validate numerical values produced by a multivariate, infrared or near-infrared laboratory or process (online or at-line) analyzer calibrated to measure a specific chemical concentration, chemical property, or physical property. The validated analyzer results are expected to be equivalent, over diverse samples whose spectra are neither outliers or nearest neighbor inliers, to those produced by the primary test method to within control limits established by control charts for the prespecified statistical confidence level. 5.2x00a0;Procedures are described for verifying that the instrument, the model, and the analyzer system are stable and properly operating. 5.3x00a0;A multivariate analyzer system inherently utilizes a multivariate calibration model. In practice the model both implicitly and explicitly spans some subset of the population of all possible samples that could be in the complete multivariate sample space. The model is applicable only to samples that fall within the subset population used in the model construction. A sample measurement cannot be validated unless applicability is established. Applicability cannot be assumed. 5.3.1x00a0;Outlier detection methods are used to demonstrate applicability of the calibration model for the analysis of the process sample spectrum. The outlier detection limits are based on historical as well as theoretical criteria. The outlier detection methods are used to establish whether the results obtained by an analyzer are potentially valid. The validation procedures are based on mathematical test criteria that indicate whether the process sample spectrum is within the range spanned by the analyzer system calibration model. If the sample spectrum is an outlier, the analyzer result is invalid. If the sample spectrum is not an outlier, then the analyzer result is valid providing that all other requirements for validity are met. Additional, optional tests may be performed to determine if the process sample spectrum falls in a sparsely populated region of the multivariate space covered by the calibration set, too far from neighboring calibration spectra to ensure good interpolation. For example, such nearest neighbor tests are recommended if the calibration sample spectra are highly clustered. 5.3.2x00a0;This practice does not define mathematical criteria to determine from a spectroscopic measurement of a sample whether the sample, the model, or the instrument is the cause of an outlier measurement. Thus the operator who is measuring samples on a routine basis will find criteria in the outlier detection method to determine whether a sample measurement lies within the expected calibration space, but will not have specific information as to the cause of the outlier without additional testing. 1.1x00a0;This practice covers requirements for the validation of measurements made by laboratory or process (online or at-line) near- or mid-infrared analyzers, or both, used in the calculation of physical, chemical, or quality parameters (that is, properties) of liquid petroleum products. The properties are calculated from spectroscopic data using multivariate modeling methods. The requirements include verification of adequate instrument performance, verification of the applicability of the calibration model to the spectrum of the sample under test, and verification of equivalence between the result calculated from the......
信息：ICS：17.180.30 (Optical measuring instruments) CCS：发布：2013 实施：

ASTM E1866-97(2021) 建立分光光度计性能测试的标准指南
简介：
信息：ICS：17.180.30 CCS：发布：2021-04-01 实施：

SN/T 4675.24-2016 出口葡萄酒福林肖卡指数的测定分光光度计法
简介：
信息：ICS：67.050 CCS：C53 发布：2016-12-12 实施：2017-07-01

GOST 8.229-2013 确保测量一致性的国家系统. 红外分光光度计. 验证程序
简介：
信息：ICS：17.020 CCS：发布：2013 实施：2015-01-01

ASTM E958-13(2021) 紫外可见分光光度计光谱带宽估算标准实践
简介：
信息：ICS：17.180.30 CCS：发布：2021-04-01 实施：

JJF 1574-2016 原子吸收分光光度计型式评价大纲
简介：
信息：ICS： CCS：发布：2016-09-27 实施：2016-09-27

JJF 1382-2012 荧光分光光度计型式评价大纲
简介：本型式评价大纲规定了荧光分光光度计的产品分类、要求、试验方法、结果处理和判定规则，适用于荧光分光光度计的新产品型式评价。
信息：ICS： CCS：N34 发布：2012-12-21 实施：2013-03-21

ISO 23946:2020 精细陶瓷（高级陶瓷、高级工业陶瓷）用角分光光度计测定白色发光二极管用陶瓷荧光粉光学性能的试验方法
简介：
信息：ICS：81.060.30 CCS：发布：2020-11-30 实施：

ASTM E2729-16 分光光度计带通差分校正的标准实践
简介：
信息：ICS：71.040.50 CCS：发布：2016-08-01 实施：

ASTM D6748-02a(2012) 确定由苯甲烯和苯醚酮存在引起的中间馏分燃料的潜在不稳定性的标准试验方法（便携式分光光度计的快速方法）
简介：
信息：ICS：75.160.20 CCS：发布：2012-11-01 实施：

ISO/TS 18621-21:2020 印刷技术印刷品图像质量评价方法第21部分:用扫描分光光度计测量宏观均匀性的一维畸变
简介：
信息：ICS：37.100.10 CCS：发布：2020-11-20 实施：

NF A06-341-2-2016 钢.硅总含量的测定.还原的钼硅酸盐分光光度计法.第2部分:硅含量0.01%至0.05%
简介：
信息：ICS：77.080.01 CCS：H11 发布：2016-06-04 实施：2016-06-04

KS E ISO 7834-2012 铁矿石.砷含量的测定.钼的兰光分光光度计法
简介：이 표준은 철광석 중의 비소 함량을 측정하기 위한 몰리브데넘블루 분광 광도법에 대하여 규정
信息：ICS：73.060.10 CCS：D31 发布：2012-04-14 实施：2012-04-14

ISO/TS 18621-21-2020 图形技术. 印刷品的图像质量评估方法. 第21部分: 利用扫描分光光度计测量宏观均匀度的一维畸变
简介：
信息：ICS：37.100.10 CCS：发布：2020-11-00 实施：

ASTM E2056-04(2016) 用于使用替代混合物校准的多变量分析中的合格光谱仪和分光光度计的标准实践
简介：
信息：ICS：71.040.50 CCS：发布：2016-04-01 实施：

ASTM E1164-2012 获取物体颜色评定用分光光度计数据的标准实施规程
简介：The most general and reliable methods for obtaining CIE tristimulus values or, through transformation of them, other coordinates for describing the colors of objects are by the use of spectrometric data. Colorimetric data are obtained by combining object spectral data with data representing a CIE standard observer and a CIE standard illuminant, as described in Practice E308. This practice provides procedures for selecting the operating parameters of spectrometers used for providing data of the desired precision. It also provides for instrument calibration by means of material standards, and for selection of suitable specimens for obtaining precision in the measurements.1.1 This practice covers the instrumental measurement requirements, calibration procedures, and material standards needed to obtain precise spectral data for computing the colors of objects. 1.2 This practice lists the parameters that must be specified when spectrometric measurements are required in specific methods, practices, or specifications. 1.3 Most sections of this practice apply to both spectrometers, which can produce spectral data as output, and spectrocolorimeters, which are similar in principle but can produce only colorimetric data as output. Exceptions to this applicability are noted. 1.4 This practice is limited in scope to spectrometers and spectrometric colorimeters that employ only a single monochromator. This practice is general as to the materials to be characterized for color. 1.5 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard. 1.6 This standard does not purport to address the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.
信息：ICS：17.180.20 (Colours and measurement of light) CCS：发布：2012 实施：