N2000 GPC gel chromatography workstationOn the basis of the universal chromatography workstation, the function of calculating various statistical molecular weights, molecular weight distribution width indices, and molecular weight cumulative weight distribution curves of polymer substances has been added.

Features of N2000 GPC gel chromatography workstation
It has two significant characteristics:
1. Allow users to freely design formulas or write macro programs based on various statistical molecular weights and molecular weight distribution width indices calculated to complete additional calculations.
2. Compatible with N2000 chromatography data workstation spectrum files.

It consists of two parts: a universal chromatography workstation software and a specialized module for molecular weight measurement. The general chromatography workstation software is responsible for the collection and processing of spectra (i.e. detecting peaks in the spectrum and establishing appropriate baselines for the detected peaks), while the molecular weight calculation module is responsible for calculating molecular weight based on a pre fitted calibration curve (the relationship curve between molecular weight and peak time).

Introduction to Characteristics and Technical Parameters of N2000 GPC
Calibration of standard samples:
The software can calibrate any number of standard samples. Multiple parallel injections of the same sample to eliminate errors.
Several correction calculation methods: peak position method, universal method, trial and error method, and internal standard peak correction method.
The calibration curve can be fitted using linear equations, quadratic and cubic polynomial equations, and the least squares method.
Automatically calculate the standard deviation and correlation coefficient.
You can output a calibration curve graph in the report.
Molecular weight determination:
Two methods for calculating molecular weight: unimodal calculation method and interval calculation method
You can set up a slicing method to calculate the corresponding molecular weight for any segment in the spectrum and automatically deduct the baseline. The following molecular weights can be obtained and a molecular weight distribution map can be made: molecular weight, logarithmic molecular weight
Data molecular weight, weight average molecular weight
Z-average molecular weight, Z+1 average molecular weight
Viscosity average molecular weight
Qualitative viscosity, dispersion coefficient
Interactive molecular weight distribution
The differential curve of molecular weight distribution and its integral curve are displayed on the same graph.
The percentage distribution of the desired molecular weight range can be calculated by drawing a mouse box or filling out the corresponding table.