ReviewMolecules (Basel, Switzerland)2022
Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology-A Review.
Review in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spectroscopic technologies and data fusion: Applications for the dairy industry.Frontiers in nutrition · 2022Pooled it
- Extruded Pseudocereal Snacks Mathematical Modelling Approaches for Prediction and Optimisation: A Review.Foods (Basel, Switzerland) · 2026Review
- Spectroscopy-Based Cell Culture Predictive Monitoring.Biotech (Basel (Switzerland)) · 2026Article
- Validation and comparison of GC-MS, FT-MIR, and FT-NIR techniques for rapid bromoform quantification in Asparagopsis taxiformis extracts.Scientific reports · 2025Article
- Multi-source heterogeneous data fusion and intelligent prediction modeling for chemical engineering construction projects based on improved transformer architecture.Scientific reports · 2025Article
- A process analyzer assembly for real-time automated near-infrared, Raman, and proton nuclear magnetic resonance spectroscopic monitoring enhanced by heterocovariance spectroscopy and chemometry applied to a Schiff base formation.Analytical and bioanalytical chemistry · 2025Article
- Machine Learning-Driven Data Fusion of Chromatograms, Plasmagrams, and IR Spectra of Chemical Compounds of Forensic Interest.ACS omega · 2025Article
- Article
- Cell culture media and Raman spectra preprocessing procedures impact glucose chemometrics.Journal of chemometrics · 2025Article
- Exploring the Intersection of Geophysics and Diagnostic Imaging in the Health Sciences.Diagnostics (Basel, Switzerland) · 2024Review
- Application of Data Fusion in Traditional Chinese Medicine: A Review.Sensors (Basel, Switzerland) · 2023Review
- Mid-Level Data Fusion Combined with the Fingerprint Region for Classification DON Levels Defect of Fusarium Head Blight Wheat.Sensors (Basel, Switzerland) · 2023Article
- Article
- Augmented region of interest for untargeted metabolomics mass spectrometry (AriumMS) of multi-platform-based CE-MS and LC-MS data.Analytical and bioanalytical chemistry · 2023Article
- Process analytical technology as in-process control tool in semi-continuous manufacturing of PLGA/PEG-PLGA microspheres.Heliyon · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The release of the FDA's guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level control have considerably evolved since 2004 due to the development of advanced analytical sensors and chemometric tools. However, their transfer to the highly regulated pharmaceutical sector has been limited. To this respect, data fusion strategies have been extensively applied in different sectors, such as food or chemical, to provide a more robust performance of the analytical platforms. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept by identifying transfer opportunities from other sectors. Special attention is given to the data types available from pharmaceutical manufacturing and their compatibility with data fusion strategies. Furthermore, the integration into Pharma 4.0 is discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.