Near-Infrared Spectroscopy Analyzer for Textile Fiber Components

1. Instrument Overview
- Advanced analytical tool for rapid textile fiber composition testing
- Non-destructive measurement of fiber blends (natural/synthetic)
- Used in quality control, product development, and compliance testing

2. Testing Principle
- Near-infrared (NIR) light (700-2500nm) interacts with molecular bonds
- Measures absorption spectra unique to each fiber type
- Chemometric models convert spectral data to composition percentages

3. Key Features
- Non-contact measurement (no sample preparation)
- Fast analysis (10-30 seconds per test)
- Multi-fiber detection (cotton, polyester, wool, nylon, etc.)
- Built-in spectral database (100+ fiber references)
- Portable/handheld options available

4. Technical Parameters
- Wavelength range: 900-1700nm (typical)
- Accuracy: ±1-2% for major components
- Measurement spot: 10-30mm diameter
- Calibration stability: <0.5% drift/year
- Data output: Fiber percentages with confidence values

5. Standards Compliance
- ASTM D7378 (Standard for NIR textile testing)
- ISO 1833 (Textile fiber identification)
- AATCC 20 (Fiber analysis)

6. Testing Procedure
1. Instrument Calibration
- Verify with reference standards
- Perform daily validation check

2. Sample Measurement
- Place fabric/flat sample under probe
- Trigger 3-second scan
- Repeat 3-5 locations for blends

3. Data Analysis
- Review composition percentages
- Check measurement confidence values
- Compare against specifications

7. Data Interpretation
- 100% Cotton: Strong O-H bond absorption at 1940nm
- Polyester: Characteristic C-H peaks at 1660-1680nm
- Blend analysis:
* 65/35 Cotton/Polyester ±1.5%
* 80/20 Wool/Acrylic ±2%

8. Applications
- Fabric mills: Incoming material verification
- Apparel brands: Label compliance testing
- Recycling facilities: Automated fiber sorting
- Research labs: New fiber development

9. Maintenance Requirements
- Weekly: Clean optical window with alcohol
- Monthly: Validate calibration standards
- Annually: Factory recalibration
- Storage: Keep in temperature-controlled environment

10. Factors Affecting Accuracy
- Fabric color/dyes (dark colors reduce signal)
- Moisture content (affects natural fibers)
- Surface texture (knits vs. wovens)
- Blend homogeneity

11. Advantages vs Traditional Methods
- 300x faster than chemical dissolution methods
- No hazardous chemicals required
- Preserves sample integrity
- Enables 100% batch testing

12. Typical Results
- Pure cotton: 98-100% detection
- 50/50 Poly-cotton blend: 49-51% accuracy
- Complex blends (3+ fibers): ±3% accuracy

Conclusion:
This NIR analyzer revolutionizes fiber testing by providing instant, non-destructive composition analysis - essential for modern textile quality control and regulatory compliance.

Fully automatic membrane pore size analyzer
Standards:
ASTM316, GB/T32361-2015

Applications:


Scope of use::
●　Suitable for samples of various materials such as polymers, ceramics, glass, metal, paper, cloth and composite materials.
●　Suitable for polymer membrane, filter paper, sintered metal, foamed metal, wire mesh, sintered felt, porous ceramics, non-woven fabric, fused sand glass and other types of membranes and filter materials.
●　Suitable for samples of various shapes such as tube type, multi-channel type, sheet type, hollow fiber, capsule type, and folded type.
●　For special samples, provide reliable testing process and various accessories required, and share our experience in testing various special samples with customers.


Product Information:
Fully automatic membrane pore size analyzer, including micro-filtration membrane pore size analyzer based on capillary flow method (bubble point method), ultra-filtration membrane pore size analyzer based on liquid-liquid replacement method, and multifunctional membrane performance tester, suitable for analysis Pore size distribution of various micro-filtration materials, the testing process is fully automatic and intelligent, and can accurately measure bubble point pressure, maximum pore size, average pore size, most probable pore size, gas flux, gas permeability, pore size distribution, etc