The Sindie® 7039 Benchtop model is specifically designed for fast batch testing from 0.15 – 3000 ppm (wt.) sulfur fuel samples at petroleum pipeline terminals, refineries, and test laboratories. The unit is compact and fits on any lab bench with an easy-to-use and robust design for industrial and laboratory use with minimal maintenance. The Sindie ® analyzer has many advantages over competing technologies. The analyzer has exceptional signal-to-noise using monochromatic excitation of the X-ray source characteristic line. It does not require consumable gases or high-temperature operations improving the analyzer’s robustness and reliability.
Sindie 7039 Benchtop complies with ASTM Standard D-7039. Sindie ® 7039 Benchtop meets or exceeds the performance of other X-ray fluorescence-based ISO and ASTM test methods including ISO 20884, for the measurement of sulfur in refinery fuels.



The main features of the Sindie ® 7039 benchtop petroleum analyzer include:


Direct measurement without sample conversion; Analysis in ppm (wt)
LOD: 0.15 ppm
Dynamic Range: 0.15 ppm to 3000 ppm
Outstanding linearity: One calibration for diesel and gasoline matrices over full dynamic range
Fast measurement time: 300 seconds
No consumable gases required
Extremely low maintenance
Autosampler utilizes XOS Accu-Cell cup



MWD XRF
Monochromatic Wavelength Dispersive X-Ray Fluorescence (MWD XRF) utilizes state-of-the-art focusing and monochromating optics to increase excitation intensity and dramatically improve signal-to-background over high power traditional WD XRF instruments. This enables significantly improved detection limits and precision and a reduced sensitivity to matrix effects. A monochromatic and focused primary beam excites the sample and secondary characteristic fluorescence x-rays are emitted from the sample. A second monochromating optic selects the sulfur characteristic x-rays and directs these x-rays to the detector. MWD XRF is a direct measurement technique and does not require consumable gasses or sample conversion.



Technical Data