ArticleFood science & nutrition2021
Detection of fraud in lime juice using pattern recognition techniques and FT-IR spectroscopy.
Article in Food science & nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 17 citations in OpenAlex.
- Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment ofFoods (Basel, Switzerland) · 2025Review
- Trace level detection of melamine and cyanuric acid extracted from pet liquid food (milk) using a SERS Au nanogap substrate.Current research in food science · 2024Article
- Novel Method Based on Ion Mobility Spectrometry Combined with Machine Learning for the Discrimination of Fruit Juices.Foods (Basel, Switzerland) · 2023Article
- Comparison of Portable and Benchtop Near-Infrared Spectrometers for the Detection of Citric Acid-adulterated Lime Juice: A Chemometrics Approach.Iranian journal of pharmaceutical research : IJPR · 2022Article
- Detection of fraud in lime juice using pattern recognition techniques and FT-IR spectroscopy.Food science & nutrition · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The lime juice is one of the products that has always fallen victim to fraud by manufacturers for reducing the cost of products. The aim of this research was to determine fraud in distributed lime juice products from different factories in Iran. In this study, 101 samples were collected from markets and also prepared manually and finally derived into 5 classes as follows: two natural classes (
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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.