ArticleCurrent research in food science2021
Principal component analysis of hyperspectral data for early detection of mould in cheeselets.
Article in Current research in food science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Principal Component-Based Comprehensive Physical Health Score Associates With Long-Term Death in Patients With Ischemic Stroke.Journal of the American Heart Association · 2026Article
- AI-Powered Innovations in Food Safety from Farm to Fork.Foods (Basel, Switzerland) · 2025Review
- Hyperspectral imaging and deep learning for parasite detection in white fish under industrial conditions.Scientific reports · 2024Article
- Study on the Determination of Flavor Value of Rice Based on Grid Iterative Search Swarm Optimization Support Vector Machine Model and Hyperspectral Imaging.Sensors (Basel, Switzerland) · 2024Article
- An introductory review on the application of principal component analysis in the data exploration of the chemical analysis of food samples.Food science and biotechnology · 2024Review
- A non-destructive, autoencoder-based approach to detecting defects and contamination in reusable food packaging.Current research in food science · 2024Article
- A Study of the Interactions of Heavy Metals in Dairy Matrices Using Fourier Transform Infrared Spectroscopy, Chemometric, and In Silico Analysis.Foods (Basel, Switzerland) · 2023Article
- The Discrimination and Characterization of Volatile Organic Compounds in Different Areas ofFoods (Basel, Switzerland) · 2022Article
- Article
- Insights into Controlling the Spread of COVID-19: A Study Inspired by Seven of the Earliest Vaccinated Countries.Journal of environmental and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The application of non-destructive process analytical technologies in the area of food science got a lot of attention the past years. In this work we used hyperspectral imaging to detect mould on milk agar and cheese. Principal component analysis is applied to hyperspectral data to localise and visualise mycelia on the samples' surface. It is also shown that the PCA loadings obtained from a set of training samples can be applied to hyperspectral data from new test samples to detect the presence of mould on these. For both the agar and cheeselets, the first three principal components contained more than 99
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.