Used PERKIN ELMER Lambda 750 #9245858 for sale

PERKIN ELMER Lambda 750 UV-Vis Spectrophotometer is an advanced double beam, grating-based system designed for research and industrial monitoring applications requiring high resolution and precision. This spectrophotometer is equipped with several cutting-edge features such as a wide wavelength range from 175nm to 3300nm, an innovative dual beam design, and high-speed scanning capabilities. The innovative double beam design of the spectrophotometer ensures that each time a sample is measured, the readings are highly accurate and repeatable. This is due to the fact that the dual beams measure both the sample and the reference simultaneously - meaning that any changes in the beam or sample are taken into consideration and compensated for, in real-time. The wide wavelength range allows for the measurement of a wide variety of physical properties within a single sample, including absorption, reflectance, UV-Vis absorbance, fluorescence, and luminescence. Furthermore, the high-speed scanning capabilities make it possible to rapidly collect and analyze data from a sample in a short period of time, allowing for a higher throughput. Lambda 750 UV-Vis Spectrophotometer is equipped with a variety of features to ensure accurate measurements and simplify the process of collecting data. The software has a user-friendly interface, giving users the ability to select parameters, adjust settings, manage data, and create customized protocols quickly and easily. Additionally, the spectrophotometer has an auto-ranging feature which automatically adjusts the wavelength range in order to the provide maximum performance for readouts and the best possible data quality. PERKIN ELMER Lambda 750 UV-Vis Spectrophotometer is a high-performance, user-friendly system well-suited for a variety of research and industrial applications. With its wide wavelength range, cutting-edge double beam design, and high-speed scanning capabilities, it is an ideal choice for those who require reliable, high-quality data.