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Principal Component Analysis of Localization-Delocalization Matrices
Principal Component Analysis (PCA) and one of its variants, Factor Analysis (FA), are dimensionality reduction statistical approaches that replace...
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Analysis of groundwater flow line of the Goshiki-numa pond community using elevation-considered principal component analysis
To reveal the dynamics of underground water flows, measuring many factors and chemical components are usually required. However, it is difficult for...
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An introductory review on the application of principal component analysis in the data exploration of the chemical analysis of food samples
Principal component analysis (PCA) is currently one of the most used multivariate data analysis techniques for evaluating information from food...
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Detection of Oil Adulteration in Virgin Coconut Oil (VCO) Utilizing Chemometrics and Principal Component Analysis
Authentication of virgin coconut oil (VCO) is imperative to protect the interests of the consumers. An investigation was carried out to distinguish...
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Rapid Assessment of Molasses Adulterated Honey Using Laser Raman Spectroscopy and Principal Component Analysis
The direct and rapid discrimination of authentic honey from adulterated honey is often challenging because of the presence of organic compounds in...
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Discrimination of milk species based on physico-chemical properties and chemometrics: application of principal component analysis and canonical discriminant analysis
The dairy food industry is subject to several scourges that can affect the quality of raw milk and change its destination and its ways of...
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Amperometric microbial biosensor for sugars and sweetener classification using principal component analysis in beverages
Sugar and artificial sweeteners are additives in packaged food and beverage products that are widely used, where excessive sugar consumption can...
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Physicochemical properties of rice bran blended oil in deep frying by principal component analysis
This study aimed to obtain a rice bran blended oil with good quality in deep frying. The thermal stability, nutrients and harmful substances of rice...
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Utilizing X-ray diffraction in conjunction with competitive adaptive reweighted sampling (CARS) and principal component analysis for the discrimination of medicinal pearl powder and nacre powder
Nacre powder, often utilized to counterfeit medicinal pearl powder due to their similar chemical composition and appearance, poses a challenge in...
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Principal component analysis of hedonic and fuzzy approach sensory evaluation for compositional optimization of Refractance-Window dried jackfruit leather
Making fruit bars is a potential solution to the spoilage and transportation issues of the bulky, perishable, and underutilized jackfruit....
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Antioxidant activities, aliphatic organic acid and sugar contents of Anatolian bee bread: characterization by principal component analysis
Bee bread is a bee product that is formed by the mixture of honey, pollen, and secretion from the salivary glands of the bee. Research on bee bread...
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Arctangent normalization and principal-component analyses merge method to classify characteristics utilizing time-dependent material data
We propose a technique for classifying paints with time-dependent properties using a new method of merging principal-component analyses (the...
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A correlation between oil measurement methods and the application of principal component analysis for selecting the best pre-frying treatment of reduced-fat banana chips
The global market value of snack foods increases annually. However, overconsumption of snack foods, especially junk foods causes various health...
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The water footprint and nutritional implications of diet change in Mexico: a principal component analysis
PurposeNutrition transition (NT) has modified the way that the Mexican population eats, while their body composition has also been modified. These...
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Non-targeted Metabolite Profiling to Evaluate the Drying Process Effect in the Peruvian Maca Actives Through Principal Component Analysis
This study aimed to evaluate the effect of the drying process on Peruvian maca flours. The analysis was done using a non-targeted metabolite...
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An Improved Classification of Pork Adulteration in Beef Based on Electronic Nose Using Modified Deep Extreme Learning with Principal Component Analysis as Feature Learning
Rapid meat consumption for human diets is causing a considerable production demand to fulfill. Due to many factors, such as economic problems, the...
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Simultaneous and rapid detection of polychlorinated phenols in water samples by surface-enhanced Raman spectroscopy combined with principal component analysis
In this work, a simple, high-throughput, and sensitive analytical method based on surface-enhanced Raman spectroscopy (SERS) and principal component...
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Application of Hot Water Extraction Techniques and the Principal Component Analysis to Study the Influence of Cultivation of Commercial Yerba Mate Samples on Their Mineral Profiles
Consumption of organic food has grown much around the world in the last 20 years. Change in the profile of consumers who have increasingly sought a...
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Non-linear process monitoring using kernel principal component analysis: A review of the basic and modified techniques with industrial applications
Timely detection and diagnosis of process abnormality in industries is crucial for minimizing downtime and maximizing profit. Among various process...
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Improvement of pear slices drying by pretreatments and microwave-assisted convective drying method: drying characteristics, modeling of artificial neural network, principal component analysis of quality parameters
The drying process has been widely used for the preservation of foodstuffs. Among the drying methods, convective drying is frequently preferred....
