LABORATORY RESEARCH PLATFORM · EMERGING CONTAMINANTS

Precision testing for new contaminants
and the risk identification platform

For the scientific landscape, build a research link on "Target Identification - Methodological Matching - Precision Testing - Data Quality Control - Risk Identification" around sample matrix, target category and research issues. The Platform covers priority new pollutant categories and supports forward research design and technical communication with a searchable project database.

Positioning of scientific platforms

Instead of a single expanded version of the “HPLC testing project”, it is organizing detection capabilities, project data and risk identification pathways around new pollutant research issues to facilitate the direct screening of research users from target to implementable programmes.

01

Target confirmed.

Completion of mapping of candidate new pollutant categories and target ranges based on research subjects, sample sources and scientific issues.

02

Analyzing Path Design

Combining polarity, molecular structure, concentration range and matrix complexity, matching chromatography, mass spectrometry and pre-treatment thinking.

03

Precision testing and quality control

Organize scientific-level data output around key links such as qualitative, quantitative, recovery rate, gap and standard curve.

04

Risk identification

Identification of priority contaminants, potential sources and follow-up validation directions in conjunction with target profiles, concentration information and research scenarios.

Research capacity matrix

Existing project banks are organized according to 12 priority pollutants. Click on any category to directly connect the following database to screen the corresponding target.

Information base on target objects and methods

Supporting Chinese, English, abbreviated, CAS, molecular and category retrieval and displaying two recovery rates and average recovery rates in the original project library. The recovery rate is influenced by the sample base, the level of the markup and the pre-treatment conditions. Page values are used for project matching and programme communication, and the official results are based on actual sample quality control.

System of analytical technologies

Based on the research phase and information integrity, the platform divides detection tasks into different levels and avoids applying a simple set of “common methods” to all samples..

01 · TARGETED

Target Quantity

Research tasks applicable to target identification, requiring concentration quantification and inter-group comparison, can be designed for quality control around standard curves, recovery rates and repetition.

02 · SCREENING

Focused screening

scenes that apply to the broader range of targets or for which a candidate list needs to be established, with screening pathways organized by type of contaminant, sample matrix and research issues.

03 · TRANSFORMATION

Product Identification

For studies on degradation, oxidation, photochemistry and biotransformation, which can be analysed in the context of mother-to-body changes, potential transformation products and evidence of pathways.

04 · RISK

Risk identification

The results of the tests are tiered and follow-up validation priorities are developed with attention to species, concentration levels, source clues and research background.

Research process

From "What I'm going to measure" to "Why, how, how and how the results are used in papers or research judgement".

STEP 01

Research needs identified

Identification of sample types, research issues, target ranges, expected concentrations and output uses.

STEP 02

Matching Targets and Methods

Identification of candidate target, pre-treatment and analytical technology routes in conjunction with the project repository and sample matrix.

STEP 03

Samples and quality control

Identification of samples, retention conditions, blanks, markings, repetitions and standard curves.

STEP 04

Data Analysis

Qualitative quantitative results, recovery rate/mass control information and data structure for scientific interpretation.

STEP 05

Risk and research output

Production of research outputs around priority contaminants, differential characteristics, potential sources and subsequent validation directions.

I'd like to present your research needs for new pollutants.

Suggested: Sample matrix, target/pollutant category, number of samples, expected concentration range, need for quantitative/screening/product identification, and planned for paper, project or routine testing.