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Metrohm
827 Ph Lab

Home
Lab Devices
Metrohm
827 Ph Lab

Analyze Metrohm 827 pH lab data with AI

Laboratory pH meter for environmental applications

pH Range: 0.00 to 14.00 pH

pH Accuracy: ±0.002 pH

mV Range: ±2000 mV

Temperature Range: -5°C to +105°C

Calibration: 2 or 3-point automatic

Applications: Environmental, Academic, Industrial

Target Users: Lab technician

Export Formats: TXT, CSV

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your 827 pH lab data into Sourcetable in 3 simple steps

Export Data

Export pH measurements and temperature data from your 827 pH lab via PC data capture software to TXT, CSV format
Upload to Sourcetable

Import your pH measurement data into Sourcetable for analysis
Start Analysis

Perform automated pH analysis with ion concentration calculations and electrode diagnostics

File Format Compatibility

827 pH lab provides comprehensive data export capabilities for laboratory ph meter and statistical analysis integration.

.csv

Raw Data

Full Support Export measurement data and results in CSV format for analysis Measurement values, timestamps, sample identifiers, method parameters

.txt

Text Export

Supported Plain text format for basic data transfer and logging Raw measurement data, timestamps, basic formatting

Pre-built Analysis Workflows

827 pH lab enables comprehensive pH and electrochemical measurement workflows.

📊

pH Calibration

Automated multi-point calibration with buffer recognition and electrode diagnostics

⚗️

Ion-Selective Measurement

Precise ion concentration determination with automated calibration curves and interference correction

🔬

Data Logging

Continuous monitoring with statistical analysis, trend detection, and automated reporting

Technical Requirements

Software Dependencies

827 pH lab Benchtop pH meter with automatic calibration and temperature compensation
File Export Format TXT, CSV
Export Method IrDA or RS-232 to PC for data export
Applications Environmental, Academic, Industrial

Sourcetable Libraries

Data Processing pandas, numpy
Statistical Analysis scipy, statsmodels
Visualization matplotlib, plotly
Specialized Analysis pandas

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