Category
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Order Code |
Product Name |
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L-01-13-M04 |
Carbon Sulfur Analyzer for Mining Laboratory Mineral Testing | FKN PANDA |
The Carbon Sulfur Analyzer is a high-frequency infrared analytical instrument designed for rapid and precise determination of total carbon and sulfur content in ore, mineral concentrate, and metallurgical solid samples. Using high-frequency induction combustion technology and pyroelectric solid-state infrared detection principles, the analyzer achieves complete sample combustion and accurate elemental measurement within 30–40 seconds per test.
With a modular infrared detection structure, imported core components, and high-precision electronic flow control systems, this laboratory analyzer provides stable signal acquisition and reliable analytical repeatability. It is suitable for daily mineral composition analysis, metallurgical raw material inspection, and process quality control in global mining and metallurgical laboratories.
The Carbon Sulfur Analyzer integrates into standardized mining laboratory workflows, supporting mineral sample preparation, metallurgical testing, mineral analysis, and hydrometallurgical quality control applications.
The analyzer performs quantitative carbon and sulfur determination on crushed and dried ore samples, mineral concentrates, and smelting raw materials. Reliable elemental data supports consistent sample evaluation before beneficiation experiments and metallurgical testing procedures.
The instrument provides carbon and sulfur content analysis for various mineral samples, including low and high concentration testing conditions. Stable analytical repeatability supports ore grade evaluation, impurity assessment, and mineral resource characterization.
In hydrometallurgical laboratories, the analyzer is used for monitoring carbon and sulfur variations during ore processing, roasting, and smelting-related testing. The analytical results provide laboratory data support for metallurgical process evaluation and quality control.
The high-frequency induction furnace provides stable power output for complete sample combustion. Combined with high-frequency shielding technology, the system reduces signal interference and improves elemental release consistency during analysis.
The analyzer supports up to four independent infrared channels with optional high-sulfur channels. Pyroelectric solid-state detectors and stable infrared light sources provide consistent optical performance for long-term laboratory operation.
An imported Swiss synchronous motor enables continuous operation, while the constant-temperature infrared cell design maintains stable optical conditions and improves measurement reliability.
The optional copper oxide catalytic furnace supports complete carbon detection and sulfur-containing gas treatment, helping laboratories meet precision analysis and emission management requirements.
The Windows-based English operating system supports software updates, multiple sample weighing modes, automatic range switching, and automatic flux blank deduction to simplify standardized testing procedures.
Self-check functions include solenoid valve inspection, signal monitoring, high-frequency preheating, baseline tracking, and automatic zero calibration to maintain stable instrument status before testing.
High-precision differential pressure electronic flow control technology provides rapid response and stable gas flow. The automatic gas-saving mode reduces oxygen consumption after analysis.
The system supports customized sample methods, Excel data export, multi-dimensional data statistics, and LIMS network connection for improved laboratory data management.
Automatic furnace cleaning and detachable dust filter design reduce dust accumulation and maintenance requirements, supporting stable analytical performance during continuous laboratory use.
| Parameter Item | Technical Specification |
|---|---|
| Analysis Range (500mg Sample) | Low Carbon: 0.06 ppm–0.1%; High Carbon: 0.1%–50% Low Sulfur: 0.6ppm–0.3%; High Sulfur: 0.3%–30% Range extendable up to 100% via adjustable sample weight |
| Analysis Accuracy | Carbon: 1ppm or RSD ≤ 0.5% Sulfur: 1ppm or RSD ≤ 1.0% |
| Detection Sensitivity | 0.01ppm |
| Analysis Time | 30–40 seconds per sample |
| Recommended Sample Weight | 0.1g–0.5g (adjustable according to elemental content) |
| Combustion Furnace | 18MHz, 2.7KVA High-frequency Induction Furnace |
| Detector Type | Solid-state pyroelectric infrared detector |
| Max Infrared Channels | 4 independent channels (custom high-sulfur channel optional) |
| Carrier Gas | Oxygen (≥99.5% purity, 0.2–0.4Mpa) |
| Power Gas | Industrial-grade Nitrogen |
| Power Supply | 220VAC±10%, 50±1Hz, 16A |
| Dimension | 550mm×760mm×770mm (W×D×H) |
| Net Weight | Approx. 100kg |
| Cleaning Mode | Fully automatic furnace dust cleaning |
A customizable high-sulfur absorption channel is available for mineral samples requiring extended sulfur analysis capability. The optional copper oxide catalytic furnace supports trace carbon detection and sulfur gas treatment for advanced laboratory analytical requirements.
FKN PANDA Carbon Sulfur Analyzer is designed for reliable mineral and metallurgical laboratory analysis, combining stable combustion performance, infrared detection technology, and precise electronic flow control for repeatable carbon and sulfur measurement.
The analyzer supports efficient laboratory workflows through rapid 30–40 second testing cycles, automatic cleaning functions, customized analytical methods, and intelligent data management features. These capabilities help mining laboratories improve testing efficiency and maintain consistent analytical procedures.
With compatibility across ore samples, mineral concentrates, and metallurgical materials, this equipment supports mineral evaluation, ore testing, and metallurgical quality inspection workflows from laboratory research to industrial process assessment.
The gas-saving operation design, modular structure, detachable dust filter, and LIMS connection capability contribute to reduced maintenance requirements and improved long-term laboratory operation efficiency.
Q1. How to select a carbon and sulfur analyzer for ore, concentrate, and alloy analysis in a metallurgical laboratory?
Selecting a carbon and sulfur analyzer requires consideration of sample types, analytical requirements, laboratory workflow, and expected testing volume. Mining laboratories commonly analyze ores, concentrates, geological samples, metals, and metallurgical products where accurate carbon and sulfur measurement supports mineral evaluation and process decisions. Key selection factors include combustion system design, detection method, calibration capability, sample compatibility, and maintenance requirements. The selected analyzer should fit the laboratory’s workflow from sample preparation and digestion through final assay reporting, while supporting consistent operation for exploration programs, mineral processing studies, and routine quality control.
Q2. Which mining and metallurgical samples can be analyzed by a carbon and sulfur analyzer?
Carbon and sulfur analyzers are widely used for the analysis of various mining and metallurgical materials, including ores, concentrates, fluxes, alloys, metals, and smelting-related materials. These measurements are important for evaluating mineral composition, sulfide content, metallurgical behavior, and process performance. In laboratories involved in exploration, mineral processing, and metallurgy, carbon and sulfur analysis provides essential data for understanding ore characteristics and optimizing downstream processes. Proper sample preparation, including drying, grinding, and homogenization, helps ensure representative results from heterogeneous geological and industrial samples.
Q3. What factors should be considered when specifying a carbon and sulfur analyzer for mining laboratories?
When specifying a carbon and sulfur analyzer, laboratories should evaluate sample characteristics, required analytical range, testing frequency, and integration with existing laboratory procedures. Important considerations include furnace configuration, combustion conditions, detector technology, crucible compatibility, accelerator selection, and software functions for calibration and quality control. Mining samples may contain complex matrices such as sulfide minerals, refractory materials, or high-carbon components, requiring suitable analytical methods. Careful equipment selection helps laboratories maintain reliable testing performance during mineral characterization, metallurgical research, and continuous assay operations.
Q4. How does combustion temperature and oxygen flow affect carbon and sulfur analysis accuracy?
Combustion temperature and oxygen flow are critical parameters in carbon and sulfur analysis because they influence sample oxidation efficiency and the release of carbon and sulfur compounds for detection. Different ore types and metallurgical materials may require optimized combustion conditions to achieve complete conversion and stable measurement. Proper control of furnace conditions, oxygen supply, and accelerator selection helps reduce incomplete combustion and analytical variation. For mining laboratories, maintaining consistent combustion parameters is important for obtaining reliable data used in geological evaluation, concentrate analysis, and metallurgical process studies.
Q5. How can a carbon and sulfur analyzer be integrated into a complete mining laboratory workflow?
A carbon and sulfur analyzer can be integrated into a mineral testing workflow covering sample collection, sample preparation, chemical analysis, metallurgical evaluation, and process decision-making. After samples are prepared through drying, crushing, grinding, and homogenization, carbon and sulfur analysis provides compositional information that supports ore characterization and processing studies. In exploration laboratories, concentrator laboratories, and metallurgical facilities, the analyzer can complement other analytical methods to provide a broader understanding of mineral properties. Proper integration with laboratory procedures, quality control systems, and reporting processes supports efficient analytical operations.
Q6. How can laboratories improve accuracy and repeatability in carbon and sulfur analysis?
Improving accuracy and repeatability in carbon and sulfur analysis requires consistent sample preparation, proper calibration, controlled combustion conditions, and regular quality verification. Mining laboratories should establish procedures for sample homogenization, blank correction, reference material testing, and instrument maintenance. Factors such as crucible handling, accelerator selection, moisture control, and detector stability can influence analytical reliability. Automated functions such as calibration management and quality control tracking can further support consistent operation. These practices help laboratories generate dependable analytical results for exploration, mineral processing, and metallurgical evaluation applications.
Q7. What sample preparation is required before carbon and sulfur analysis of ores and concentrates?
Sample preparation plays an important role in obtaining representative carbon and sulfur analysis results from mining materials. Typical preparation procedures may include drying, crushing, grinding, and homogenization to ensure the tested portion accurately represents the original sample. Heterogeneous ores, concentrates, and industrial materials may require careful preparation to minimize sampling variation. The selected preparation method should consider mineral composition, particle characteristics, and laboratory testing requirements. Proper preparation improves data reliability and supports accurate evaluation of ore quality, concentrate performance, and metallurgical process conditions.
Q8. What maintenance is required for carbon and sulfur analyzers during long-term laboratory operation?
Regular maintenance is essential for maintaining stable performance of carbon and sulfur analyzers in mining laboratories. Important maintenance areas include furnace components, combustion tubes, filters, infrared detection cells, gas pathways, and sample handling components. Routine inspection and cleaning help prevent contamination, signal drift, and abnormal measurement conditions. Laboratories should also monitor consumable replacement schedules and verify calibration performance through quality control procedures. Preventive maintenance supports continuous analytical operation for laboratories conducting exploration testing, metallurgical studies, and high-volume sample analysis programs.
Q9. How can laboratories reduce interference and improve reliability when analyzing complex mining samples?
Complex mining samples may contain moisture, volatile components, high sulfur concentrations, or mineral matrices that influence carbon and sulfur measurement. Laboratories can reduce interference through appropriate sample preparation, suitable accelerator selection, proper calibration, and optimized combustion conditions. Quality control procedures, including blank monitoring and reference material analysis, help identify potential analytical issues. For challenging materials such as sulfide-rich concentrates or refractory ores, method optimization is important to achieve consistent results. A structured analytical approach supports reliable data generation for mineral processing decisions and metallurgical evaluation.
Q10. How should carbon and sulfur analyzer results be validated for mining and metallurgical applications?
Validation of carbon and sulfur analyzer results involves confirming analytical performance through calibration verification, quality control samples, certified reference materials, and comparison with established analytical methods where applicable. Mining laboratories should evaluate factors such as precision, accuracy, sample representativeness, and matrix effects during method validation. Reliable validation procedures help ensure that analytical results from ores, concentrates, and metallurgical materials can support technical decisions. A properly validated workflow improves confidence in laboratory data used for exploration programs, process optimization, and routine quality assurance activities.
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