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ZHONGXI Testing has obtained inspection qualification certifications from multiple countries and regions worldwide. We possess a senior testing team and advanced testing methods, providing independent, impartial, and professional third-party verification services for global carbon projects.
Certified by multiple international standards such as CNAS, VCS, and GS, with reports universally applicable worldwide.
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Adopt standard experimental methods to ensure accurate and reliable data.
Selecting a testing partner begins with understanding the precise capabilities required for your analysis. In the case of polen variety identification, accurate assessment is critical for applications ranging from botanical research to agricultural quality control and environmental monitoring. Our laboratory, accredited by CNAS and CMA, provides specialized testing services designed to meet the demands of clients seeking reliable and scientifically valid results.
Our testing scope for polen variety identification encompasses a wide range of botanical samples, including but not limited to grasses, trees, shrubs, and flowering plants. The services are applicable to raw polen samples, as well as processed materials such as polen extracts or prepared slides. Testing can be performed for pure varieties or mixed samples to assess composition and relative abundance. Common applications include verifying the authenticity of botanical products, supporting biodiversity studies, and ensuring compliance with agricultural regulations. The following standards are frequently referenced in our testing procedures:
The testing process involves the identification and quantification of polen varieties based on morphological and molecular characteristics. Key test items include:
Typical parameters and graded limit requirements are outlined in the following table:
| Test Item | Parameter | Graded Limit Requirement |
|---|---|---|
| Morphological Identification | Shape, size, color, grain count | Accuracy ≥ 95% (relative deviation ≤ 5%) |
| Genetic Barcoding | Sequence similarity, species match rate | Match rate ≥ 98% (error rate ≤ 2%) |
| Relative Abundance | Percentage by volume or mass | Accuracy ≥ 90% (relative deviation ≤ 10%) |
Additional parameters may be included based on specific client requirements, ensuring comprehensive analysis tailored to the intended application.
In assessing parallel-sample and batch-to-batch variation, our approach is rooted in statistical rigor and methodological consistency. For parallel-sample analysis, relative deviation between replicate tests is calculated to ensure reproducibility. Typically, the acceptance window for morphological identification is set at a relative deviation of ≤ 5%, while genetic barcoding maintains an error rate of ≤ 2%. Batch-to-batch variation is evaluated by comparing results across consecutive test runs, with acceptance windows defined by standard deviation thresholds specific to each test item.
The analysis of variation data involves:
These measures ensure that results are not only accurate but also consistent, providing clients with reliable data for decision-making.
Send us your testing item list and sample details, and our engineers will confirm the applicable items and turnaround within one working day.
Beijing ZKGX Institute of Science and Technology , combining applied research with technological transformation. It has evolved into a comprehensive research institute characterized primarily by a "task-driven disciplines" approach. Approved by relevant authorities, it currently operates as a third-party analytical testing technical service provider. Its affiliated laboratory facilities hold certifications including CMA and CNAS, possess an Experimental Animal Use License, and have achieved triple certification for ISO9001 Quality Management System, ISO14001 Environmental Management System, and ISO45001 Occupational Health and Safety Management System.