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The Partial Least-Squares Model
The most popular first-order model based on partial least-squares is presented, and a range of applications are shown, from single and multiple...
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Hybrid N-way Partial Least Squares and Random Forest Model for Brick Tea Identification Based on Excitation–emission Matrix Fluorescence Spectroscopy
Excitation-emission matrix fluorescence spectroscopy coupled with a hybrid N-way partial least squares and random forest (NPLS-RF) model was proposed...
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Miniaturized wavelength model optimization for visible–near-infrared spectroscopic discriminant analysis of soy sauce adulteration identification
Using visible and near-infrared (Vis–NIR) spectroscopy, the discriminative analysis models for a brewed soy sauce brand and its high imitation...
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Investigating potential freshness indicators for packaged oysters through multivariate statistical analysis
Pacific oysters ( Crassostrea gigas ) are globally renowned shellfish. In South Korea, oysters are commonly packaged with filling water in polyethylene...
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New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis
Anthracnose is one of the most relevant diseases of mango crops in producing regions, affecting 60% of production. Currently, its detection is...
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Discriminant analysis of ‘Fuji’ and ‘Hanfu’ apples under 1-methylcyclopropene (1-MCP) and cold storage conditions based on their postharvest quality and aroma properties
‘Fuji’ and ‘Hanfu’ apples, genetically related major cultivars grown in China, lacked a systematic comparison regarding their storage potential...
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Vis-NIR Spectroscopic Discriminant Analysis Applied to Serum Breast Cancer Screening
The research and development of fast, simple and accurate technology for breast cancer screening has important application value. In this paper, the...
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HS–SPME–GC–MS Combined with Multivariate Analysis Assay for Volatile Organic Compounds of Commercial Eggs and Native Eggs
This study analyzed the egg quality of two commercial layers and two local breeds and detected volatile organic compounds (VOCs) using headspace...
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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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Excitation-emission matrix fluorescence spectroscopy combined with multi-way chemometric methods for rapid qualitative and quantitative analyses of the authenticity of sesame oil
Sesame oil (SO) is a high-quality and very popular edible oil with pleasant odor and good taste, which has higher economic and nutritional value than...
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HPLC Fingerprint Combined with Chemometrics and Network Pharmacology for Q-Markers Prediction Analysis of Saposhnikovia divaricata
Saposhnikovia divaricata (SD) has high medicinal and edible value, but relatively little research has been done on its quality markers (Q-markers)....
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Identification of individual goat animals by means of near infrared spectroscopy and chemometrics analysis of commercial meat cuts
Although the identification of animal species and muscles have been reported previously, no studies have been found on the use of NIR spectroscopy to...
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Identification of geographical and botanical origin of Mediterranean honeys using UV-vis spectroscopy and multivariate statistical analysis
The present study aimed to differentiate Mediterranean honey samples with regards to their botanical and geographical origin, using UV-vis...
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The detection of goat milk adulteration with cow milk using a combination of voltammetric fingerprints and chemometrics analysis
In this study, a novel analytical approach was developed for detecting and predicting adulteration of goat milk with cow milk using a combination of...
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MALDI-TOF MS Protein Profiling Combined with Multivariate Analysis for Identification and Quantitation of Beef Adulteration
The problem of adulteration and mislabeling in meat products has raised the public concerns globally. An easy-operation, fast, and robust method that...
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Untargeted Metabolomics Based on UHPLC-HRMS for Authentication of Chicken Meat Supplied by Different Slaughter Methods of Halal, Non-Halal, and Shubha
To protect consumers from non-halal and shubha-halal foods, it is essential to authenticate chicken meat based on its slaughtering process. The...
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Investigation of pre-processing NIR spectroscopic data and classification algorithms for the fast identification of chocolate-coated peanuts and sultanas
Chocolate-coated confectionery, including fruits and nuts, is an increasingly popular snack food. Non-destructive discrimination of the core...
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Rapid authentication of green tea grade by excitation-emission matrix fluorescence spectroscopy coupled with multi-way chemometric methods
Grade is an important parameter for indicating tea quality, which determines the price of tea. However, it is confusing for consumers to evaluate the...
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Spectral Separation Degree Method for Vis-NIR Spectral Discriminant Analysis of Milk Powder Adulteration
Quick and easy spectral discrimination technology of milk powder adulterated has important application prospects. The separation degree spectrum...
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Chemometrics approach for the screening of potential adulterations in pomegranate sour by infrared spectroscopy and conventional methods
This study aims to generate predictive models based on FT-MIR and FT-NIR spectroscopy to characterize unique compositions of pomegranate sour,...
