Near-Infrared Spectroscopy (NIR)

VNIR technology Near-infrared spectroscopy is the study of interactions of electromagnetic radiation with chemical bonds of materials – the energy is either reflected, transmitted, or absorbed. Spectra are produced when the bonds in organic materials or geologic minerals interact with…READ MORE >

With the theme “Science: Now more than ever”, Pittcon 2021 will be an all virtual event for first time in its 72 years.  Pittcon conference is known for its large exposition featuring many vendors of laboratory equipment, educational short courses,…READ MORE >

In this webinar series we demonstrate the value of on-line monitoring of particle size, elemental and mineralogical composition and moisture, either directly in the mine or close to process equipment.

Critical components of any ore processing automation strategy are the sensors that provide compositional, mineralogical, and ore property information that are essential for process optimization decisions. On-line over-the-conveyor sensors provide real-time information that is then available for feed-forward control of a…READ MORE >

In the following case study, we discuss the added value of XRD for the mineralogical analysis of lateritic iron ore.

In the blog about “The value of mineralogical monitoring” we discussed the importance of mineralogical monitoring for efficient ore beneficiation on the examples of copper and nickel ores. This blog elaborates on the nickel ore application in more detail. Nickel…READ MORE >

Most people using satellite or aerial imagery understand the importance of geometric calibration; you need to tie the pixels in the imagery to the corresponding coordinate locations on the earth so that you can use the imagery in mapping applications,…READ MORE >

We are often asked questions like, “how do I measure my product using ASD near-infrared (NIR)?” Of course, my standard answer is, “it depends.” Since so much depends on the assumptions and conditions, I thought it would be useful to…READ MORE >

Partial least squares regression (PLSR) is a powerful tool that makes use of the information at all wavelengths and provides the means for the quantitative determination of a wide variety of plant canopy properties. Past studies that limited their analysis…READ MORE >