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XHP-PD-9620 Near-Infrared Flour Analyzer

Product Category:Spectroscopic detection

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Product Description

The XHP-PD-9620  Near-Infrared Flour Analyzer is our latest near-infrared instrument, specifically designed for testing flour and coarse grain flour. It can easily, quickly, and accurately perform various routine laboratory parameter tests; in less than 30 seconds, it can accurately measure ash content, moisture content, protein, and other key component indicators.


Product Features

Specificity: Designed specifically for testing key quality indicators of powder;

 

Easy Operation: With an intuitive menu and large color touchscreen, the instrument is easy for anyone to operate. The powder sample cup is easy to use, minimizing operator errors. The powder sample cup can also be easily cleaned with a brush;

 

Milling Efficiency: The product quality testing data provided by the PDA-9620 can be used to monitor and optimize product yield and quality. Fast and accurate measurement of ash and protein allows for real-time process adjustments;

 

Flour Quality: For flour processing companies, the PDA-9620 ensures that the flour produced meets customer requirements and reduces returns and claims. For baking companies, the PDA-9620 allows for continuous adjustment of various parameters to ensure food quality meets standards;

 

Models Always Available: With years of experience in near-infrared model development, we continuously develop, maintain, and update near-infrared models;

 

Remote Instrument Management: The web-based reporting and network platform provided by Perkone allows for remote access to the instrument anytime, anywhere. Simply log in to the website and view the results of single or multiple instruments.


Technical Parameter

Analyte

 Wheat flour, coarse flour, rye flour, wheat bran, etc.

Parameters Measured

Moisture, protein, ash, wet gluten, color, etc.

Analysis Time

 ~25 seconds

Analysis Principle

Scanning grating, transmittance

Wavelength Range

570–1100 nm

Regression Options

PLS (Partial Least Squares), ANN (Artificial Neural Network), HR (Honigs Regression), Classification

Weight

35 kg

Dimensions

48 x 37 x 33 cm

Display

12-inch LCD color touchscreen

Interfaces

 Ethernet, 4 USB ports


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