ImageVerifierCode 换一换
格式:PDF , 页数:9 ,大小:319.10KB ,
资源ID:170002      下载积分:9 积分
快捷下载
登录下载
邮箱/手机:
温馨提示:
快捷下载时,用户名和密码都是您填写的邮箱或者手机号,方便查询和重复下载(系统自动生成)。 如填写123,账号就是123,密码也是123。
特别说明:
请自助下载,系统不会自动发送文件的哦; 如果您已付费,想二次下载,请登录后访问:我的下载记录
支付方式: 支付宝扫码支付 微信扫码支付   
验证码:   换一换

加入VIP,免费下载
 

温馨提示:由于个人手机设置不同,如果发现不能下载,请复制以下地址【https://www.wnwk.com/docdown/170002.html】到电脑端继续下载(重复下载不扣费)。

已注册用户请登录:
账号:
密码:
验证码:   换一换
  忘记密码?
三方登录: QQ登录  

下载须知

1: 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。
2: 试题试卷类文档,如果标题没有明确说明有答案则都视为没有答案,请知晓。
3: 文件的所有权益归上传用户所有。
4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
5. 本站仅提供交流平台,并不能对任何下载内容负责。
6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

版权提示 | 免责声明

本文(ASTM_E_2310_-_04_2015.pdf)为本站会员(益****师)主动上传,蜗牛文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知蜗牛文库(发送邮件至admin@wnwk.com或直接QQ联系客服),我们立即给予删除!

ASTM_E_2310_-_04_2015.pdf

1、Designation:E231004(Reapproved 2015)Standard Guide forUse of Spectral Searching by Curve Matching Algorithmswith Data Recorded Using Mid-Infrared Spectroscopy1This standard is issued under the fixed designation E2310;the number immediately following the designation indicates the year oforiginal adop

2、tion or,in the case of revision,the year of last revision.A number in parentheses indicates the year of last reapproval.Asuperscript epsilon()indicates an editorial change since the last revision or reapproval.1.Scope1.1 Spectral searching is the process whereby a spectrum ofan unknown material is e

3、valuated against a library(database)of digitally recorded reference spectra.The purpose of thisevaluation is classification of the unknown and,wherepossible,identification of the unknown.Spectral searching isintended as a screening method to assist the analyst and is notan absolute identification te

4、chnique.Spectral searching is notintended to replace an expert in infrared spectroscopy.Spectralsearching should not be used without suitable training.1.2 The user of this guide should be aware that the results ofa spectral search can be affected by the following factorsdescribed in Section 5:(1)bas

5、elines,(2)sample purity,(3)Absorbance linearity(Beers Law),(4)sample thickness,(5)sample technique and preparation,(6)physical state of thesample,(7)wavenumber range,(8)spectral resolution,and(9)choice of algorithm.1.2.1 Many other factors can affect spectral searching re-sults.1.3 The scope of this

6、 guide is to provide a guide for the useof search algorithms for mid-infrared spectroscopy.The meth-ods described herein may be applicable to the use of thesealgorithms for other types of spectroscopic data,but each typeof data search should be assessed separately.1.4 The Euclidean distance algorith

7、m and the first derivativeEuclidean distance algorithm are described and their usediscussed.The theory and common assumptions made whenusing search algorithms are also discussed,along with guide-lines for the use and interpretation of the search results.1.5 The values stated in SI units are to be re

8、garded asstandard.No other units of measurement are included in thisstandard.2.Referenced Documents2.1 ASTM Standards:2E131 Terminology Relating to Molecular SpectroscopyE334 Practice for General Techniques of Infrared Micro-analysisE573 Practices for Internal Reflection SpectroscopyE1252 Practice f

9、or General Techniques for Obtaining Infra-red Spectra for Qualitative AnalysisE1642 Practice for General Techniques of Gas Chromatog-raphy Infrared(GC/IR)AnalysisE2105 Practice for General Techniques of Thermogravimet-ric Analysis(TGA)Coupled With Infrared Analysis(TGA/IR)E2106 PracticeforGeneralTec

10、hniquesofLiquidChromatography-Infrared(LC/IR)and Size ExclusionChromatography-Infrared(SEC/IR)Analyses3.Terminology3.1 DefinitionsFor general definitions of terms andsymbols,refer to Terminology E131.3.1.1 Euclidean distance algorithmthe Euclidean distancealgorithm measures the Euclidean distance be

11、tween eachlibrary spectrum and the unknown spectrum by treating thespectra as normalized vectors.The closeness of the match,orhit quality index(HQI),is calculated from the square root ofthe sum of the squares of the difference between the vectors forthe unknown spectrum and each library spectrum.3.1

12、.2 first derivative Euclidean distance algorithmin thefirst derivative Euclidean distance algorithm the Euclideandistance is also computed,except the derivative of eachspectrum is calculated prior to the Euclidean distance calcula-tion.3.1.3 hit quality index(HQI)a table which ranks thelibrary spect

13、ra in the database according to their hit qualityvalues(see 7.5).3.1.4 hit quality valuethe spectral search software com-pares each spectrum in the database to that of the unknown and1This guide is under the jurisdiction of ASTM Committee E13 on MolecularSpectroscopy and Separation Science and is th

14、e direct responsibility of Subcom-mittee E13.03 on Infrared and Near Infrared Spectroscopy.Current edition approved May 1,2015.Published June 2015.Originallyapproved in 2004.Last previous edition approved in 2009 as E2310 04(2009).DOI:10.1520/E2310-04R15.2For referenced ASTM standards,visit the ASTM

15、 website,www.astm.org,orcontact ASTM Customer Service at serviceastm.org.For Annual Book of ASTMStandards volume information,refer to the standards Document Summary page onthe ASTM website.Copyright ASTM International,100 Barr Harbor Drive,PO Box C700,West Conshohocken,PA 19428-2959.United States1 a

16、ssigns a numeric value for each library entry demonstratinghow similar the two spectra are.3.1.4.1 DiscussionThere are several methods for assign-ing hit quality values and either a high or low value can beassigned as the best match.Refer to the software manufacturersdocumentation.3.1.5 normalizationthe mathematical technique used tocompensate for an intensity difference between two spectra(see 5.1).3.1.6 peak searchingthe process whereby the peak tableof the spectrum of an unknown material is e

copyright@ 2008-2023 wnwk.com网站版权所有

经营许可证编号:浙ICP备2024059924号-2