W100 Wine Color Analyzer

The color of wine varies greatly, not only providing visual enjoyment, but also serving as an important reference for evaluating the overall quality of wine. in China
There is no unified and objective standard method for evaluating the color of wine. In the existing technology, the evaluation method of wine color still relies on visual inspection. A sensory evaluation team composed of professional wine evaluators provides approximate results using similar descriptive language based on visual perception, which is greatly influenced by the environment, human senses, and psychology. In modern society, it can no longer meet the needs of inspection and processing industries.

High standard measurement accuracy

● Accuracy of self-assessment instruments

Automatically perform wavelength correction and dark current correction

The fully sealed structure and all optical mirrors have SiO2 protective film, which comprehensively reduces the influence of external gases and environment on optical components

Digital display

Realize the color signal of wineThe advantages of the "three-dimensional digital coordinate" value include:

Digitization of measurement, representation, and transmission;

The coordinate values of the color space method can achieve the restoration of wine color features;

● Achieve remote and long-distance transmission of color feature values, eliminating communication barriers;

Avoiding differences in color and visual perception among experimental personnel has improved the accuracy of analysis;

● Digital traceability of measurement values has been achieved.

Scientific control system

The control system monitors the service life of the light source in real time

● Light source socket design, no optical debugging required when changing lights

Save time and effort

Specialized wine color analysis software, realizing digitalization of measurement, representation, and transmission

Technical Parameter

In short, the wine color analyzer has high measurement accuracy, simple testing steps, and can achieve automated, batch, and large-scale detection.