Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity–A review

AM Jiménez-Carvelo, A González-Casado… - Food research …, 2019 - Elsevier
In recent years, the variety and volume of data acquired by modern analytical instruments in
order to conduct a better authentication of food has dramatically increased. Several pattern …

A mechanistic review on machine learning-supported detection and analysis of volatile organic compounds for food quality and safety

Y Feng, Y Wang, B Beykal, M Qiao, Z Xiao… - Trends in Food Science & …, 2023 - Elsevier
Background Food quality and safety have received much more attention in recent years
thanks to the increase in food consumption and customer awareness of food quality …

Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry

C Maione, BL Batista, AD Campiglia… - … and Electronics in …, 2016 - Elsevier
Rice is one of the most consumed cereals in the world and the main food product in the diet
of the Brazilian population. Brazil itself is among the ten largest producers of rice, and most …

Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review

C Maione, RM Barbosa - Critical reviews in food science and …, 2019 - Taylor & Francis
Rice is one of the most important staple foods around the world. Authentication of rice is one
of the most addressed concerns in the present literature, which includes recognition of its …

Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review

C Maione, F Barbosa Jr, RM Barbosa - Computers and Electronics in …, 2019 - Elsevier
Because honey is a natural product synthetized by bees from secretions of various flowers
and plants, its composition and properties are determined by those unique floral origins …

Comparative Evaluation of Some Quality Characteristics of Sunflower Oilseeds (Helianthus annuus L.) Through Machine Learning Classifiers

N Çetin, K Karaman, E Beyzi, C Sağlam… - Food Analytical …, 2021 - Springer
Sunflower seeds are rich in oil and oleic acid, thus having valuable nutritional properties.
Sunflower is also resistant to dry conditions and can adapt easily to harsh environmental …

Effective procedures for the determination of As, Cd, Cu, Fe, Hg, Mg, Mn, Ni, Pb, Se, Th, Zn, U and rare earth elements in plants and foodstuffs

FP Paniz, T Pedron, BM Freire, DP Torres, FF Silva… - Analytical …, 2018 - pubs.rsc.org
There are several international regulations regarding trace elements. The use of ICP-MS for
their determination is usually a difficult task, especially when Hg is one of the target …

Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis

C Maione, ES De Paula, M Gallimberti… - Expert Systems with …, 2016 - Elsevier
Authenticity is a substantial matter and a current concern of the organic food industry.
Organic foods are appreciated by customers because of their benefits to health and …

[HTML][HTML] Research on social data by means of cluster analysis

C Maione, DR Nelson, RM Barbosa - Applied Computing and Informatics, 2019 - Elsevier
This paper presents a data mining study and cluster analysis of social data obtained on
small producers and family farmers from six country cities in Ceará state, northeast Brazil …

Machine learning directed discrimination of virgin and recycled poly (ethylene terephthalate) based on non-targeted analysis of volatile organic compounds

H Li, X Wu, S Wu, L Chen, X Kou, Y Zeng, D Li… - Journal of Hazardous …, 2022 - Elsevier
The use of non-decontaminated recycled poly (ethylene terephthalate)(PET) in food
packages arouses consumer safety concerns, and thus is a major obstacle hindering PET …