Environmental Analysis

Latest News


Advances in Atomic Spectroscopy

Webinar Date/Time: Tuesday, February 28 and Wednesday, March 1, 2023 Morning Session: 9 am EST | 6 am PST | 3 pm CET | 2 pm GMT Afternoon Session: 2 pm EST | 11 am PST | 8 pm CET | 7 pm GMT

Microplastics analysis just got easier: Analysis direct on-filter

North America: Wednesday, November 16, 2022 at 11am PST | 1pm CST | 2pm EST Europe: Thursday, November 17, 2022, at 11am BST | 12pm CET Asia: Thursday, November 17, 2022, at 10:30 IST | 1pm SGT | 2pm JST | 4pm AEST Fast, easy, and accurate analysis of microplastics is a key need of anyone with an interest in this area. With the capacity to conduct this analysis directly on the filter in the Agilent 8700 LDIR for microplastics, this analysis has now reached a new level.

Sunset over a grassland

In this study, we propose a low-altitude unmanned aerial vehicle (UAV) hyperspectral visible near-infrared (vis-NIR) remote sensing hardware platform, which combines efficiency and accuracy for high-precision remote sensing-based ecological surveys and statistical data collection on grassland desertification.

leaf with raindrops on it

Spectral reflectance is a non-destructive method that is applicable to remote sensing and may be used to measure the chlorophyll content in a crop, which indicates the photosynthetic capacity, growth cycles, and degrees of stress (such as disease, insect infestation, and heavy metal stress) on plant ecosystems. This vis-NIR spectral reflectance method measures leaf chlorophyll using a wavelet analysis algorithm approach.

In the agrifood sector, soil sampling and analysis is a prerequisite for accurate fertilizer management and to monitor the accumulation of heavy metals in soils. In this study, energy dispersive X-ray fluorescence (EDXRF) was used to analyze soils with variable textures (clay and sandy) and the percent recovery of elements was compared, as a measure of accuracy.

An inexpensive fiberoptic-based formaldehyde field sensor is described for monitoring low-levels of formaldehyde, a widespread indoor air pollutant, based on the principle of evanescent wave absorption of light. Sensor prototypes following that principle are being tested in two plywood board production plants.