Product Overview

Quantitative proteomics precisely identifies and quantifies all proteins in a sample. Data-independent acquisition (DIA), a cutting-edge mass spectrometry technique, fragments all parent ions within a set mass-to-charge ratio (m/z) range, capturing comprehensive fragment information without omission. This boosts data utilization and protein identification numbers compared to traditional label-free methods, with superior accuracy and reproducibility over data-dependent acquisition (DDA), making it ideal for large-scale cohorts.
Leveraging the Thermo Orbitrap™ Astral™ platform—integrating quadrupole, Orbitrap, and revolutionary asymmetric track lossless Astral analyzer—HaploX delivers unprecedented speed, coverage depth, sensitivity, and quantitative accuracy. This groundbreaking instrument excels at trace-level protein detection, with no sample number limitations, enabling large-scale sample analysis.

Advantages

Low Sample Requirements: Only 200 ng of peptides per sample is needed
Superior identification depth and sensitivity: 50% more protein identifications vs. conventional methods; excels at low-abundance peptide detection.
Customizable workflows: Standard 8/24-minute detection + personalized solutions.
Full-process QC: Pre-treatment + MS quality control system with extensive sample type experience.
High Throughput: Unlimited sample quantity, suitable for large-scale studies.
Stable Quantification: DIA technology ensures high coverage, reproducibility, and accuracy with reduced data acquisition randomness.

Product Parameters

Sample Requirements

Workflow

Analysis Contents

Protein Identification Numbers

Application Scenarios

Biomedical Research and Biomarker Discovery
Drug Discovery and Development
Clinical Application
Agricultural Science

FAQ

Q：What is Data-Independent Acquisition (DIA) in proteomics?

A： In proteomics, DIA is a mass spectrometry-based strategy that systematically fragments all precursor ions within predefined mass-to-charge ratio (m/z) windows. This approach enables unbiased data collection, high reproducibility, and high-throughput protein quantification when analyzing complex biological samples.

Q：What are the advantages of DIA-based quantitative proteomics over traditional label-free quantification?

A： Traditional label-free quantification generally requires fractionation, which is time-consuming, poorly reproducible, and yields results with low reliability. In contrast, DIA-based quantitative proteomics represents a next-generation label-free technology. Through an optimized data acquisition mode, it captures more comprehensive information within the same timeframe. This not only shortens the experimental cycle but also significantly improves the reproducibility of inter-sample comparisons, resulting in highly reliable data outcomes.

Q：How does Data-Independent Acquisition (DIA) compare to Data-Dependent Acquisition (DDA) in terms of quantification performance and reproducibility?

A： DIA outperforms DDA in consistency and data completeness by capturing fragment data from all ions during each analytical run. This characteristic minimizes missing values and enhances inter-sample reproducibility, making it particularly suitable for large-scale studies or longitudinal experiments where reliable cross-sample comparisons are critical.