Detection of insect fragments in wheat flour by near-infrared spectroscopy $

By J. Perez-Mendoza, J. Throne, F. Dowell, J. Baker. 2003

99 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Food Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/996ab182e5ee53748d5caf5be9b1ebda3b5d1c5d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Digvir S. Jayas
2. Jitendra Paliwal
3. N. White
4. C. Singh
5. Da‐Wen Sun
6. S. Mahesh
7. Hongbin Pu

In Plant Science

1. Jitendra Paliwal
2. N. White
3. Digvir S. Jayas
4. Da‐Wen Sun

Citations in the corpus

• Fungal Damage Detection in Wheat Using Short-Wave Near-Infrared Hyperspectral and Digital Colour Imaging (2012, methodology): “In a previous study, Perez-Mendoza et al.[33] reported wavelength 890 nm as one of the important wavelengths from the analysis of beta coefficient using partial least square for detection of insect fragments in wheat flour.”