Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus) by Marta Castrica, Sara Panseri, Elena Siletti, Federica Borgonovo, Luca Chiesa, Claudia M. Balzaretti

“…In order to test the performance of PEN3 and FOODsniffer, total volatile basic nitrogen (TVB-N) values were considered as the reference. Principal component analysis (PCA) and Pearson’s correlation were performed in order to compare PEN3 with TVB-N, and for the FOODsniffer evaluation, a one-way ANOVA was carried out. …”
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Fatty Acid Analysis to Classify Iberian Hams Quality Categories from Different Brands as Affected by the Sampling by Soledad Sánchez, Teresa Antequera, Abraham Pajuelo, Trinidad Perez-Palacios

“…Significant differences in the fatty acid composition and results from the principal component analysis were observed in all four types of analysed samples, indicating similarities among brands from the White and Green quality categories on the one hand and among brands from the Red and Black quality categories on the other hand. …”
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CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins by Reny Pratiwi, Aijaz Ahmad Malik, Nalini Schaduangrat, Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat, Watshara Shoombuatong

“…Furthermore, AFPs were characterized using propensity scores and important physicochemical properties via statistical and principal component analysis. The predictive model afforded high performance with an accuracy of 88.28% and results revealed that AFPs are likely to be composed of hydrophobic amino acids as well as amino acids with hydroxyl and sulfhydryl side chains. …”
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Effects of Freeze Vacuum Drying Combined with Hot Air Drying on the Sensory Quality, Active Components, Moisture Mobility, Odors, and Microstructure of Kiwifruits by Lihui Zhang, Yu Qiao, Chao Wang, Li Liao, Lu Liu, Defang Shi, Kejing An, Jianzhong Hu, Qing Xu

“…According to cluster analysis, the odors of FVD-AD products were similar to those of the fresh ones. Principal component analysis of physicochemical and drying cost indicated that FVD-AD was a promising processing technique for functional kiwifruit snacks.…”
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An unbiased cell morphology-based screen for new, biologically active small molecules. by Masahiro Tanaka, Raynard Bateman, Daniel Rauh, Eugeni Vaisberg, Shyam Ramachandani, Chao Zhang, Kirk C Hansen, Alma L Burlingame, Jay K Trautman, Kevan M Shokat, Cynthia L Adams

“…Cellular phenotypes induced by each compound were quantified by multivariate statistical analysis of the morphology, staining intensity, and spatial attributes of the cellular nuclei, microtubules, and Golgi compartments. Principal component analysis was used to identify inhibitors of cellular components not targeted by known protein kinase inhibitors. …”
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Characteristics Defining Broccoli Cultivars from Different Seed Producers by Elena Ordiales, Domingo J. Iglesias, María Victoria Alarcón, Lorena Zajara, Jesús Gil, Juan Ignacio Gutiérrez, Julio Salguero

“…Diameter and height of sprouts were complementarily estimated. Principal component analysis was further employed to investigate the relationship between the agronomic variables and the cultivars and nurseries. …”
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Differential quantity of key bioactive compounds and their antioxidative potential in novel apple genotypes: A correlative study for potential therapeutics by Syed Mudassir Jeelani, Salwee Yasmin, Ashiq Hussain Lone, Javid Iqbal Mir, Mohammad Irfan, Vishal Dinkar, Wasim Hassan Raja, Sajad Un Nabi, Mahendra Kumar Verma, Geetika Malik, Om Chand Sharma

“…HPLC analyses displayed concentration of bioactive compounds varies significantly among these genotypes with catechins, epicatechins, quercetin, and rutin were the key bioactive compounds. Principal Component Analysis results revealed a correlation between total phenolic content and antioxidative potential. …”
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The Optimization of the Debittering Process and the Exploration of Bitter Metabolites of <i>Paeonia ostii</i> ‘Fengdan’ Seeds by Shuting Li, Yanfeng Xu, Xinyue Liu, Qizhen Su, Junyu Zhang, Xinran Zhang, Xinmiao Guo, Yanlong Zhang, Qingyu Zhang

“…Then, we identified and determined the types and content of polyphenols, the metabolites causing bitter taste, in the samples based on LC-ESI-QQQ-MS. Principal component analysis (PCA) and orthogonal partial least square discriminant analysis (OPLS-DA) were used to compare and analyze the seeds at different stages of debittering. …”
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Valorization of various sources of rabbit manure in agro-piscicultural system in Benin (West Africa): dynamics and effect of mineralization upon quality of fresh water by Richard Adande, Hervé Kouessivi Janvier Bokossa, Mouhamadou Nourou Dine Liady, Emile Didier Fiogbé

“…The highest content of phosphorus and nitrogen was recorded in T4 and T2, respectively. The principal component analysis showed a positive correlation between P-PO4 3−, Ca2+, Mg2+, MES, conductivity, and salinity during mineralization. …”
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Heavy Metal Spatial Variation Mechanism and Ecological Health Risk Assessment in Volcanic Island Soils: A Case Study of Weizhou Island, China by Ran Bi, Wei Fu, Xuanni Fu

“…Land use types influence heavy metal content, with higher concentrations in abandoned land and lower concentrations in forest land with dense vegetation and organic matter. Principal component analysis reveals that heavy metals are primarily derived from natural parent material, with the first two principal components comprising 59.77% of the variance. …”
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Extreme Air Pollution Events Spiking Ionic Levels at Urban and Rural Sites of Indo-Gangetic Plain by Manisha Mishra, U. C. Kulshrestha

“…Source apportionment based on principal component analysis and the mass ratios also indicated that local anthropogenic sources, in addition to natural ones such as soil/road dust and biogenic emissions, influenced the WSII composition. …”
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Hydrogeochemical Characteristics of the Haiyuan-Liupanshan Seismic Belt at the Northeastern Edge of the Tibet Plateau by Xinyan Li, Xiaopeng Liu, Jianguo Du, Yueju Cui, Fengxia Sun

“…The Schukalev classification method, fuzzy membership function, the proportion coefficients of major ions and principal component analysis (PCA) were adopted to analysis the hydrogeochemistry, water quality, origins and controlling factors of groundwater. …”
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Crude Oil Source Identification of Asphalt via ATR-FTIR Approach Combined with Multivariate Statistical Analysis by Ruibo Ren, Wenmiao Fan, Pinhui Zhao, Hao Zhou, Weikun Meng, Ping Ji

“…The model was established based on diverse fingerprint recognition technologies (such as principal component analysis (PCA) and multivariate logistic regression analysis) by using attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). …”
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Decoding the aroma of Rosa canina L.: Chemical composition and gene expression. by Parisa Jariani, Ali-Akbar Shahnejat-Bushehri, Roohangiz Naderi, Meisam Zargar, Mohammad Reza Naghavi

“…Clustering analysis indicated distinct groupings of developmental stages and gene expression patterns, with strong correlations between specific genes and compounds, such as CCD1 with GGPPS (0.78) and β-Citronellol with Caryophyllene (0.92). Principal Component Analysis (PCA) highlighted significant contributions of AAT1, GPS, and nonadecane compounds to the overall variance.…”
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Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine Learning by Chunguang Bi, Xinhua Bi, Jinjing Liu, He Chen, Mohan Wang, Helong Yu, Shaozhong Song

“…Before modeling, principal component analysis (PCA) was used to determine the distribution features of the internal components for each maize variety. …”
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Psychometric validation of type 2 Diabetes Distress Assessment System in an Indian type 2 diabetes population by Baby Sharma, Pramod Tripathi, Nidhi Kadam, Diptika Tiwari, Anagha Vyawahare, Thejas Kathrikolly, Malhar Ganla

“…Statistical analyses included descriptive statistics, Principal Component Analysis (PCA), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM), using IBM SPSS, R, and AMOS software. …”
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Emotional Intervention and Education System Construction for Rural Children Based on Semantic Analysis by Xiaobo Zhang

“…In this paper, a platform for acquiring emotional semantic data of scene images in an open behavioral experimental environment is designed, which breaks the limitations of time and place, and thus acquires a large amount of emotional semantic data of scene images and then uses principal component analysis to evaluate the validity of the data analysis. …”
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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…Dimensionality reduction methods, such as Principal Component Analysis, can reduce computational resources but may alter the original feature structure, leading to a loss of some detailed information in the dataset. …”
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Variation Feature, Pollution Risk Assessment, and Source Analysis of Heavy Metals in Lanzhou City, Northwestern China by Yongyao Zeng, Bo Zhou

“…Source analysis by Pearson’s correlation and principal component analysis revealed that the accumulation of Mo metal was caused by the enrichment of MnO2 in the oxidic condition; the accumulations of Cu, Co, Ni, Mn, Cr, Zn, Cd, and Pb metals are influenced by natural sources and human activities (vehicle exhaust and industrial pollution), respectively.…”
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Comprehensive Genetic Analysis of Edible-Podded Pea Genotypes: Variability, Heritability, and Multivariate Approach Across Two Agro-Climatic Zones in India by Saurabh Yadav, Rajinder Kumar Dhall, Hira Singh, Parteek Kumar, Priti Sharma, Pradeep Kumar, Priyanka Kumari, Neha Rana

“…Yield per plant was negatively correlated with plant height but positively correlated with pod length, the number of seeds per pod, the number of pods per plant, and pod weight, indicating the potential for the simultaneous selection of these traits in breeding programs. Principal component analysis (PCA) identified six components explaining over 75% of the total variation, with yield and biochemical traits contributing the most to the observed diversity. …”
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