A Review of Calibration Transfer Practices and Instrument Differences in Spectroscopy

校准 重复性 再现性 计算机科学 传输(计算) 遥感 统计 数学 地理 并行计算
作者
Jerome Workman
出处
期刊:Applied Spectroscopy [SAGE Publishing]
卷期号:72 (3): 340-365 被引量:202
标识
DOI:10.1177/0003702817736064
摘要

Calibration transfer for use with spectroscopic instruments, particularly for near-infrared, infrared, and Raman analysis, has been the subject of multiple articles, research papers, book chapters, and technical reviews. There has been a myriad of approaches published and claims made for resolving the problems associated with transferring calibrations; however, the capability of attaining identical results over time from two or more instruments using an identical calibration still eludes technologists. Calibration transfer, in a precise definition, refers to a series of analytical approaches or chemometric techniques used to attempt to apply a single spectral database, and the calibration model developed using that database, for two or more instruments, with statistically retained accuracy and precision. Ideally, one would develop a single calibration for any particular application, and move it indiscriminately across instruments and achieve identical analysis or prediction results. There are many technical aspects involved in such precision calibration transfer, related to the measuring instrument reproducibility and repeatability, the reference chemical values used for the calibration, the multivariate mathematics used for calibration, and sample presentation repeatability and reproducibility. Ideally, a multivariate model developed on a single instrument would provide a statistically identical analysis when used on other instruments following transfer. This paper reviews common calibration transfer techniques, mostly related to instrument differences, and the mathematics of the uncertainty between instruments when making spectroscopic measurements of identical samples. It does not specifically address calibration maintenance or reference laboratory differences.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
今后的应助被chcmuer采纳,获得10
2秒前
平常的豌豆完成签到,获得积分10
5秒前
grassland发布了新的文献求助10
6秒前
不器发布了新的文献求助10
7秒前
wuyongxiang发布了新的文献求助10
7秒前
Sugar完成签到,获得积分10
9秒前
9秒前
ty完成签到 ,获得积分10
10秒前
无花果的应助被SYX采纳,获得10
11秒前
11秒前
12秒前
78888发布了新的文献求助10
14秒前
万丈光芒发布了新的文献求助10
14秒前
15秒前
luojia发布了新的文献求助10
15秒前
15秒前
小姚姚发布了新的文献求助50
17秒前
Orange的应助被Tonald Yang采纳,获得10
18秒前
93zzZ完成签到,获得积分10
18秒前
yuyufish发布了新的文献求助10
20秒前
20秒前
20秒前
21秒前
结实的红酒完成签到,获得积分10
22秒前
安静板栗发布了新的文献求助10
22秒前
ZMTW发布了新的文献求助30
27秒前
LJT发布了新的文献求助10
27秒前
29秒前
soapffz完成签到,获得积分0
32秒前
颜雨蘅发布了新的文献求助10
32秒前
111发布了新的文献求助10
36秒前
李爱国的应助被矮小的断秋采纳,获得10
39秒前
终生科研徒刑完成签到 ,获得积分10
40秒前
伤心词香菇酱完成签到,获得积分10
42秒前
43秒前
Ava的应助被LJT采纳,获得10
43秒前
44秒前
打打的应助被111采纳,获得10
45秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Issues in Task-Based Language Teaching 500
Wafer Surface Defect 420
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7784319
求助须知:如何正确求助?哪些是违规求助? 9323644
关于积分的说明 20394846
捐赠科研通 7373064
什么是DOI,文献DOI怎么找? 3320990
关于科研通互助平台的介绍 2468974
邀请新用户注册赠送积分活动 2337253