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E-mail
sales@bojinyiqi.com
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Phone
18621668115
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Address
101-103, Building B6, Taishang Creative Park, 428 Wubao Road, Shanghai
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Bojin Instrument (Shanghai) Co., Ltd
The 10th generation SPECTROMAXX direct reading spectrometer
NegotiableUpdate on 03/15
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Overview
Bojin Instrument (Shanghai) Co., Ltd. is a leading one-stop second-hand instrument trading platform in China, with 200 engineers and 1800 customers serving in 30 cities. At the same time, 30 spot spectrometers are available, covering imported brands, and each sold one has after-sales guarantee. A professional second-hand spectrometer direct sales platform in China, with 30 in stock spectrometers and full coverage of imported brands. The starting price for Niton and Inos spectrometers is 30000 yuan, and the starting price for Spike spectrometers is 80000 yuan. Each spectrometer sold has after-sales guarantee and supports up to 30% off repurchase within three years.
Product Details
The tenth generation SPECTROMAXX (LMX10) is equipped with a brand new German original calibration curve, expanding the range of curve calibration and element selection; Optimize the excitation parameters of the light source; Improve detection sensitivity (LOD). For example, for iron, aluminum, and copper substrates, the detection limit of the new generation of instruments has been improved by 30% to 40% compared to the impressive performance of the previous generation.
The operation interface is intuitive and easy to use, using a toolbar button mode. Each measurement control instruction has clear symbols and toolbar buttons. Once the analysis process is initiated, only the necessary control functions in the control software interface are operable during the process - other operation instructions are hidden. By applying configuration files, specific customer information can be set before operation, reducing the management workload of laboratory technicians.
The SPECTROMAXX spark direct reading spectrometer autonomously monitors all operating parameters. The required measurement time can be dynamically adjusted based on the given sample properties, and the spark table can also be reminded when it needs to be cleaned based on the number of samples being tested.
