AIMC Topic: Food Quality

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Effects on quality characteristics of ultrasound-treated gilaburu juice using RSM and ANFIS modeling with machine learning algorithm.

Ultrasonics sonochemistry May 22, 2024
Gilaburu (Viburnum opulus L.) is a red-colored fruit with a sour taste that grows in Anatolia. It is rich in various antioxidant and bioactive compounds. In this study, bioactive compounds and ultrasound parameters of ultrasound-treated gilaburu wate...
Phenols Fruit and Vegetable Juices Food Quality Ultrasonic Waves Machine Learning Algorithms Fuzzy Logic
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Machine learning methods in near infrared spectroscopy for predicting sensory traits in sweetpotatoes.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 4, 2024
It has been established that near infrared (NIR) spectroscopy has the potential of estimating sensory traits given the direct spectral responses that these properties have in the NIR region. In sweetpotato, sensory and texture traits are key for impr...
Spectroscopy, Near-Infrared Food Analysis Machine Learning Algorithms Humans Ipomoea batatas Food Quality Models, Statistical Plant Breeding Sensation
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Recent developments of e-sensing devices coupled to data processing techniques in food quality evaluation: a critical review.

Analytical methods : advancing methods and applications Oct 26, 2023
A greater demand for high-quality food is being driven by the growth of economic and technological advancements. In this context, consumers are currently paying special attention to organoleptic characteristics such as smell, taste, and appearance. M...
Artificial Intelligence Smell Taste Perception Humans Food Quality
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Artificial neural network-based shelf life prediction approach in the food storage process: A review.

Critical reviews in food science and nutrition Sep 9, 2023
The prediction of food shelf life has become a vital tool for distributors and consumers, enabling them to determine storage and optimal edible time, thus avoiding unexpected food waste. Artificial neural network (ANN) have emerged as an effective, f...
Fruit Food Storage Neural Networks, Computer Algorithms Food Quality
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Applications of machine learning techniques for enhancing nondestructive food quality and safety detection.

Critical reviews in food science and nutrition Oct 12, 2022
In considering the need of people all over the world for high-quality food, there has been a recent increase in interest in the role of nondestructive and rapid detection technologies in the food industry. Moreover, the analysis of data acquired by m...
Humans Machine Learning Algorithms Food Quality
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Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality.

Critical reviews in food science and nutrition Apr 20, 2022
Cereals provide humans with essential nutrients, and its quality assessment has attracted widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as powerful nondestructive testing technologies, are widely used in the ...
Food Quality Spectrophotometry, Infrared Edible Grain Hyperspectral Imaging Humans Artificial Intelligence
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Rapid Assessment of Quality Changes in French Fries during Deep-frying Based on FTIR Spectroscopy Combined with Artificial Neural Network.

Journal of oleo science Sep 8, 2021
Fourier transform infrared (FTIR) spectroscopy combined with backpropagation artificial neural network (BP-ANN) were utilized for rapid and simultaneous assessment of the lipid oxidation indices in French fries. The conventional indexes (i.e. total p...
Spectroscopy, Fourier Transform Infrared Food Analysis Oxidation-Reduction Solanum tuberosum Neural Networks, Computer Palm Oil Soybean Oil Rapeseed Oil Sunflower Oil Cooking Food Quality Hot Temperature
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E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a systematic review.

Critical reviews in food science and nutrition Mar 29, 2021
Devices of human-based senses such as e-noses, e-tongues and e-eyes can be used to analyze different compounds in several food matrices. These sensors allow the detection of one or more compounds present in complex food samples, and the responses obt...
Humans Electronic Nose Artificial Intelligence Algorithms Tongue Food Quality
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Rapid and non-destructive spectroscopic method for classifying beef freshness using a deep spectral network fused with myoglobin information.

Food chemistry Feb 23, 2021
A simple, novel, rapid, and non-destructive spectroscopic method that employs the deep spectral network for beef-freshness classification was developed. The deep-learning-based model classified beef freshness by learning myoglobin information and ref...
Myoglobin Cattle Animals Spectrum Analysis Deep Learning Red Meat Food Quality
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A Review of the Discriminant Analysis Methods for Food Quality Based on Near-Infrared Spectroscopy and Pattern Recognition.

Molecules (Basel, Switzerland) Feb 1, 2021
Near-infrared spectroscopy (NIRS) combined with pattern recognition technique has become an important type of non-destructive discriminant method. This review first introduces the basic structure of the qualitative analysis process based on near-infr...
Food Analysis Humans Discriminant Analysis Pattern Recognition, Automated Neural Networks, Computer Food Quality Spectroscopy, Near-Infrared
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