Instrument Introduction:
be directed againstLaboratory Fatty Acid Value TesterAs an important parameter for determining the deterioration of grain storage quality, the use of phenolphthalein indicator to indicate the endpoint in practical applications brings about difficulties in observation, inaccurate measurement results, and poor comparability. Upon the proposal of some expert members of the National Grain and Oil Standardization Technical Committee, Beijing Weifeng Technology Development Company, in conjunction with the Automation Department of Tsinghua University, conducted three years of intensive research and consulted a large number of domestic and foreign articles. Through extensive experimental exploration, they have mastered the essential characteristics of fatty acid value determination and applied AN neural network theory to create an advanced level XQ-600 fatty acid value measuring instrument based on electric sensors and AN neural network as the judgment software.
ＸＱ－６００Laboratory Fatty Acid Value TesterIt has the characteristics of fast testing speed and high accuracy, and is suitable for extracting two solutions of anhydrous ethanol and benzene. After being applied by multiple units such as the Scientific Research Institute of the National Grain Administration, the National Grain and Oil Quality Inspection Center, and the Jilin Experimental Training Center of China National Grain Reserve Management Corporation, it has been highly praised. It is believed that the application control theory is unique, the experimental results are accurate, and the testing speed reaches the normal working level of the laboratory.
The measurement process is fully automated, with direct input of moisture and automatic calculation of measurement results. The technical indicators comply with the national standard GB5510-85 GB/T15684-95、GB/T20569-2006、GB/T20570-2006、GB/T20571-2006。 It is an instrument used in grain inspection laboratories at all levels.

stem or root of plantsAccording to the Soxhlet extraction principle, the fat content is determined by weight measurement method. Dissolve fat in organic solvents, use extraction method to separate fat from the solvent, then dry, weigh, and calculate the fat content.
This fat analyzer mainly consists of three parts: heating extraction, solvent recovery, and cooling. During operation, the heating temperature can be adjusted according to the boiling point of the reagent and the ambient temperature. The sample is repeatedly soaked and extracted during the extraction process to achieve rapid measurement.

Characteristics of Fat Extraction Instrument SZF-06B:

1. Compact size, fast heating and uniform heating in water bath.

2. All series of instruments adopt glass grinding joint to avoid deformation and leakage problems caused by the use of rubber sealing rings.
3. Digital temperature control temperature control integrated high integration instrument, with free and convenient control.

Technical parameters:
Compliant with national standards
GB/T 15684-95 Determination of Fatty Acid Value of Grain Products
GB 5510-85 Grain and oilseed inspection - Determination of fatty acid value
measuring range
0-300mg KOH/100g dry matter
resolution
0.01mg KOH/100g dry matter
repeatability
RSD≤0.3%
Zui small feed liquid
0.625μl
Measurement mode
Rapid titration, precise titration
Method storage
Multiple methods for corn, rice, and wheat;
100 titration results
peripheral interface
Printer interface; RS232C interface

Main features:
In line with the development trend, the detection level of grain fatty acid value has been improved. Advanced neural network technology has been applied to determine the endpoint, and specialized instrument settings ensure experimental accuracy. The keyboard can directly select measurement programs such as "corn", "rice", "wheat", etc.
The detection process is displayed in Chinese and randomly equipped with monitoring software, which can monitor the entire fatty acid value determination process.
The convenient operation interface and comprehensive program ensure the easy use and reliability of the instrument, eliminating human errors.
Multiple experimental modes are selected to ensure experimental precision, while intelligent processing shortens experimental time.
The test results can be output according to specific industry requirements, improving the laboratory management level and testing the stored data
Perform statistical analysis on the test results.