New technology of metabolomics

Our technology

Obtain truly high-quality metabolomic data

The founding team transfered the top-tier technology and more than 20 years of scientific research experience in metabolomics from Germany to China. Metanotitia has been innovating and practicing in the chinese market since its establishment in 2018 in Shenzhen, China.

We’ve been perfecting workflows to drive clinical and operational efficiency. Our proprietaryProfMet platform is the solution to large-scale metabolomics studies, providing standardized, high-throughput, deep-coverage data with a self-built metabolomics MS and MS/MS library of over 8000 standards. Our platform's capabilities can be applied in screening, diagnosis, prognosis, prediction, and monitoring throughout the continuity of care in various indications.

In large-scale metabolomics researches, it has been an industrial pain point of how to remove the systematic error that imposes non-negligible impacts on the analysis results. Metanotitia’s comprehensive solution can remove noise and systematic error while preserving biological differences, thanks to its advanced quality control system and state-of-the-arts data processing algorithms.

One stop solution

Industrial Pain Points and Our Solutions

Industrial pain points

complex physicochemical properties of metabolites

High background noise and poor repeatability

Lack of comprehensive reference libraries

Interdisciplinary teamwork analysis required

Difficult data alignment in large-scale studies

Large sample size projects have a large time span, and traditional methods cannot sufficiently remove systematic errors

Big data analysis is difficult and lacks mature commercial software and methods

Our solutions

Each sample only needs to be extracted once. Thousands of metabolites with various physicochemical properties are processed to the greatest extent possible.

Using the Metabonum QC system and the self-developed data processing software Spectronaut, we can improve the signal-to-noise ratio to reflect the biological properties of the samples to the greatest extent.

Our Ulib^MS reference library includes more than 8,000 chemical standards, which can be complemented by public libraries such as Fiehn, NIST, MoNA, HMDB, etc..

Metanotitia’s experienced interdisciplinary team has experiences in large-scale cohort management, multi-center coordination, and analysis of 10,000+ samples. We translate medical pain points into research directions, and balances efficiency and difficulties in real-world research.

Three retention time correction and peak alignment methods cross validate annotations and improve detection coverage.

The deep learning-based normalized data processing method retains the real biological information of the samples while removing batch effects.

The self-developed high-throughput data processing software Spectronaut can process, annotate and analyze MS data of 5000+ samples at one time.

Core competitiveness

Localized & Standardized Strategy for Large-scaled Metabolomics Clinical Research