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Metrohm
877 Titrino Plus

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Lab Devices
Metrohm
877 Titrino Plus

Analyze Metrohm 877 Titrino plus data with AI

Potentiometric titrator (routine) for environmental applications

Measurement Range: 0.01 to 50 mL endpoint volume

Accuracy: ±0.1% (endpoint detection)

Burette System: Exchange unit burette

Display: LCD with keypad control

Connectivity: USB, RS-232

Applications: Environmental, Water treatment, Education

Target Users: Lab technician

Export Formats: CSV

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your 877 Titrino plus data into Sourcetable in 3 simple steps

Export Data

Export titration curves and endpoints from your 877 Titrino plus via TiBase software to CSV format
Upload to Sourcetable

Import your titration data into Sourcetable for analysis
Start Analysis

Perform automated endpoint detection with titration curve analysis and concentration calculations

File Format Compatibility

877 Titrino plus provides comprehensive data export capabilities for potentiometric titrator (routine) 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

Pre-built Analysis Workflows

877 Titrino plus enables comprehensive potentiometric titration workflows for environmental.

⚗️

Endpoint Detection

Advanced algorithms for precise endpoint detection with automated curve analysis and validation

📊

Method Development

Intelligent method optimization with automated parameter adjustment and statistical evaluation

🔬

Quality Control

Automated QC workflows with limit checking, trending analysis, and compliance documentation

Technical Requirements

Software Dependencies

877 Titrino plus Potentiometric titrator with automated endpoint detection and data logging
File Export Format CSV
Export Method USB (to PC via TiBase) or RS-232 for data capture
Applications Environmental, Water treatment, Education

Sourcetable Libraries

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

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Get Insights

Ask questions in plain English, generate charts instantly, use Python for custom logic, and tap into built-in research tools for deeper insights.