EAS Award Lecture: When the Sample Makes (or Breaks) the Technology

Abstract

Get full access to this article

View all access options for this article.

References

Igne

Gibson

L.R.

Rippke

G.R.

Schwarte

and Hurburgh

C.R.

, “Triticale moisture and protein prediction by near infrared spectroscopy”, Cereal Chem. 84, 328–330 (2007). doi: https://dx-doi-org.web.bisu.edu.cn/10.1094/CCHEM-84-4-0328

Igne

Gibson

L.R.

Rippke

G.R.

and Hurburgh

C.R.

, “Influence of the yearly variability of agricultural products on the calibration process: A triticale example”, Cereal Chem. 84, 576–581 (2007). doi: https://dx-doi-org.web.bisu.edu.cn/10.1094/CCHEM-84-6-0576

Igne

Shi

Drennen

J.K.

and Anderson

C.A.

, “Effects of raw material variability on near infrared calibration model stability for pharmaceutical products”, J. Pharm. Sci. 103, 545–556 (2014). doi: https://dx-doi-org.web.bisu.edu.cn/10.1002/jps.23816

Igne

Drennen

J.K.

and Anderson

C.A.

, “Improving near infrared prediction model robustness with support vector machine regression – a pharmaceutical tablet assay example”, Appl. Spectrosc. 68, 1348–1356 (2014). doi: https://dx-doi-org.web.bisu.edu.cn/10.1366/14-07486