4.5 Article

Ensemble classification and regression techniques combined with portable near infrared spectroscopy for facile and rapid detection of water adulteration in bovine raw milk

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Chemistry, Multidisciplinary

Principles and Applications of Miniaturized Near-Infrared (NIR) Spectrometers

Krzysztof B. Bec et al.

Summary: In recent years, the technology of miniaturized near-infrared spectrometers has advanced significantly and had a revolutionary impact in various fields. These instruments employ diverse technological solutions, and continuous progress leads to the emergence of new devices in the market. The current focus in analytical NIR spectroscopy is on evaluating the devices and methods, as well as systematically characterizing their performance profiles.

CHEMISTRY-A EUROPEAN JOURNAL (2021)

Article Chemistry, Applied

Determination of melamine in milk by fluorescence spectroscopy and second-order calibration

Matheus C. Barreto et al.

Summary: The study proposes a quick method for the identification and quantification of melamine in milk using excitation-emission matrix (EEM) fluorescence spectroscopy and second-order calibration methods, with a single clean-up step using acetic acid. Both PARAFAC and U-PLS/RBL were capable of detecting melamine in milk above specific concentrations, suitable for adulterations above a certain percentage, with reasonable RMSEPs.

FOOD CHEMISTRY (2021)

Article Automation & Control Systems

Comparison of a novel PLS1-DA, traditional PLS2-DA and assigned PLS1-DA for classification by molecular spectroscopy

Yangming Huang et al.

Summary: The study introduces a novel PLS-DA strategy, showing its superior performance in multi-class problems, especially in NIR and Raman spectral datasets. The method achieves high prediction accuracy through selecting representative samples and building qualitative models.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2021)

Article Food Science & Technology

The spectral treasure house of miniaturized instruments for food safety, quality and authenticity applications: A perspective

Judith Mueller-Maatsch et al.

Summary: Optical technologies relying on spectral analysis are increasingly being implemented in portable devices for food analysis. Innovative spectroscopic developments allow for more application possibilities and the production of portable devices. Despite the lack of a multifunctional device, recent advancements in software architecture and data fusion strategies using machine learning show potential for overcoming challenges such as sample heterogeneity and spurious data.

TRENDS IN FOOD SCIENCE & TECHNOLOGY (2021)

Article Chemistry, Applied

Identification of milk adulteration by a sensor array based on cationic polymer induced aggregation of a perylene probe

Ling Zhang et al.

Summary: A novel fluorescence sensor array has been developed through cationic polymer-induced self-assembly to discriminate main proteins in milk and detect milk adulteration with high accuracy. The sensor array shows great potential for quantitative detection of milk adulteration.

FOOD CHEMISTRY (2021)

Article Spectroscopy

Classification of different liquid milk by near-infrared spectroscopy and ensemble modeling

Hui Chen et al.

Summary: Near-infrared spectroscopy was used to classify different brands of liquid milk rapidly and objectively. The EELM algorithm achieved 100% classification accuracy, showing the feasibility of NIR spectroscopy combined with variable reduction for brand classification.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2021)

Article Food Science & Technology

Assessment of the Analytical Performance of Three Near-Infrared Spectroscopy Instruments (Benchtop, Handheld and Portable) through the Investigation of Coriander Seed Authenticity

Claire McVey et al.

Summary: The performance of three near-infrared spectroscopy instruments was compared for the investigation of coriander seed authenticity. Chemometric modeling and regression analysis were used to determine their predictive capabilities and quantitative tools. Results showed all instruments correctly predicted adulterated samples, with the iS50 performing better than the other two instruments in the best models.
Article Chemistry, Applied

Riboflavin as an internal marker for spoilage and adulteration detection in milk

Gaurav Pandey et al.

Summary: The study introduces an optical method utilizing riboflavin as a biomarker to monitor milk quality in real-time, able to detect spoilage and urea adulteration. It can accurately measure high levels of urea adulteration, demonstrating strong linearity and precision in determining milk quality.

FOOD CHEMISTRY (2021)

Review Chemistry, Analytical

Milk adulterant detection: Conventional and biosensor based approaches: A review

Rupak Nagraik et al.

Summary: The adulteration of milk is a global concern due to the rise of fraudulent practices involving harmful additives. Various methods such as chromatography, immunological techniques, and spectroscopic methods are used for detecting and identifying milk adulterants. Biosensors have shown potential in providing rapid and real-time detection of common milk adulterants.

SENSING AND BIO-SENSING RESEARCH (2021)

Article Biochemical Research Methods

Random subspace-based ensemble modeling for near-infrared spectral diagnosis of colorectal cancer

Hui Chen et al.

ANALYTICAL BIOCHEMISTRY (2019)

Article Automation & Control Systems

Ensemble calibration for the spectral quantitative analysis of complex samples

Xihui Bian et al.

JOURNAL OF CHEMOMETRICS (2018)

Article Biochemistry & Molecular Biology

Examining water in model membranes by near infrared spectroscopy and multivariate analysis

Jorge J. Wenz

BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES (2018)

Article Engineering, Electrical & Electronic

A NIR Photometer Prototype With Integrating Sphere for the Detection of Added Water in Raw Milk

Lucas da Silva Dias et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2018)

Review Chemistry, Applied

Recent advances on determination of milk adulterants

Carina F. Nascimento et al.

FOOD CHEMISTRY (2017)

Article Engineering, Electrical & Electronic

A Low-Cost NIR Digital Photometer Based on InGaAs Sensors for the Detection of Milk Adulterations With Water

Mauricio Moreira et al.

IEEE SENSORS JOURNAL (2016)

Article Chemistry, Analytical

Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR)

Poliana M. Santos et al.

MICROCHEMICAL JOURNAL (2016)

Article Chemistry, Applied

A new comprehensive index for discriminating adulteration in bovine raw milk

Jing Liu et al.

FOOD CHEMISTRY (2015)

Article Agriculture, Multidisciplinary

MALDI-TOF-MS Platform for Integrated Proteomic and Peptidomic Profiling of Milk Samples Allows Rapid Detection of Food Adulterations

Mauro Sassi et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2015)

Article Automation & Control Systems

Partial least squares discriminant analysis: taking the magic away

Richard G. Brereton et al.

JOURNAL OF CHEMOMETRICS (2014)

Review Chemistry, Analytical

Classification tools in chemistry. Part 1: linear models. PLS-DA

Davide Ballabio et al.

ANALYTICAL METHODS (2013)

Review Chemistry, Analytical

Review of the most common pre-processing techniques for near-infrared spectra

Asmund Rinnan et al.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2009)

Article Chemistry, Analytical

Validation of qualitative analytical methods

E Trullols et al.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2004)

Article Automation & Control Systems

Ensemble methods and partial least squares regression

BH Mevik et al.

JOURNAL OF CHEMOMETRICS (2004)

Article Computer Science, Artificial Intelligence

A comparison of methods for multiclass support vector machines

CW Hsu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)