4.6 Review

Spectroscopic technologies and data fusion: Applications for the dairy industry

Related references

Note: Only part of the references are listed.
Article Food Science & Technology

Authentication of β-casein milk phenotypes using FTIR spectroscopy

Davor Daniloski et al.

Summary: The ability to distinguish between different genetic protein variants in milk is important to the dairy industry. FTIR spectroscopy coupled with multivariate analysis can be used to identify the differences between A1 and A2 milk.

INTERNATIONAL DAIRY JOURNAL (2022)

Article Engineering, Chemical

Discrimination of Cheddar, Kefalotyri, and Halloumi cheese samples by the chemometric analysis of Fourier transform infrared spectroscopy and proton nuclear magnetic resonance spectra

Maria Tarapoulouzi et al.

Summary: Different brands of Cheddar, Kefalotyri, and Halloumi cheeses can be distinguished using spectroscopic techniques and chemometric methods. This analysis is important for detecting food adulteration and ensuring product authenticity.

JOURNAL OF FOOD PROCESS ENGINEERING (2022)

Article Food Science & Technology

A FT-NIR Process Analytical Technology Approach for Milk Renneting Control

Silvia Grassi et al.

Summary: This study proposes a process analytical technology approach using near infrared spectroscopy and multivariate statistical process control charts for the control of milk coagulation. The results demonstrate the effectiveness of this method in monitoring coagulation times and detecting possible failures.

FOODS (2022)

Article Food Science & Technology

Influence of Three Extraction Methods on the Physicochemical Properties of Kefirans Isolated from Three Types of Animal Milk

Chiara La Torre et al.

Summary: In this study, the recovery yield and physicochemical properties of kefiran extracted from different types of animal milk using various extraction methods were evaluated. The results showed that the extraction methods did not affect the chemical structure of kefiran, but had an impact on its thermal and morphological features. These differences could lead to different practical applications of kefiran in the fields of nutrition and pharmacology.

FOODS (2022)

Review Biochemistry & Molecular Biology

Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology-A Review

Tibor Casian et al.

Summary: The FDA's guidance on Process Analytical Technology has spurred the pharmaceutical industry to adopt advanced analytical sensors and chemometric tools for improved drug quality. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept and discusses its integration with Pharma 4.0.

MOLECULES (2022)

Review Automation & Control Systems

Mid infrared spectroscopy and milk quality traits: A data analysis competition at the International Workshop on Spectroscopy and Chemometrics 2021

Maria Frizzarin et al.

Summary: This paper discusses a chemometric data analysis challenge held during the first edition of the International Workshop on Spectroscopy and Chemometrics, where participants aimed to build a calibration model for predicting milk quality traits using mid-infrared spectra. The approaches adopted by participants and the insights obtained from the analyses are outlined and critically discussed.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2021)

Article Food Science & Technology

Authentication of forage-based milk by mid-level data fusion of ( plus /-) DART-HRMS signatures

Giorgia Riuzzi et al.

Summary: The study utilized DART-HRMS technology to authenticate milk samples derived from different feed sources, identifying key biomarkers that influence the milk metabolomics profile through PLS-DA and LDA analysis. The conclusion suggests that the botanical origin of feed and conservation method significantly impact the composition of milk.

INTERNATIONAL DAIRY JOURNAL (2021)

Article Agriculture, Dairy & Animal Science

A rapid method to quantify casein in fluid milk by front-face fluorescence spectroscopy combined with chemometrics

Yizhou B. Ma et al.

Summary: The study utilized front-face fluorescence spectroscopy and chemometrics to measure casein content in fluid milk with different casein-to-crude-protein ratios, achieving accurate predictions and demonstrating practical model performance for quality-control in the dairy industry.

JOURNAL OF DAIRY SCIENCE (2021)

Article Engineering, Chemical

Anomaly detection during milk processing by autoencoder neural network based on near-infrared spectroscopy

Pegah Sadeghi Vasafi et al.

Summary: Combining autoencoder neural network with near-infrared spectroscopy is a reliable method to monitor milk processing, detecting abnormal changes early, making process control easier, and ensuring product quality and safety.

JOURNAL OF FOOD ENGINEERING (2021)

Article Chemistry, Analytical

Improved prediction of tablet properties with near-infrared spectroscopy by a fusion of scatter correction techniques

Puneet Mishra et al.

Summary: The study demonstrates that multiple scatter correction techniques in NIR spectroscopy extract complementary information, and their fusion is essential for achieving high-performance predictive models related to pharmaceuticals. This complementary fusion approach reduces prediction error and bias compared to traditional methods.

JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS (2021)

Article Chemistry, Applied

Compact low-field NMR spectroscopy and chemometrics applied to the analysis of edible oils

Diego Galvan et al.

Summary: Compact nuclear magnetic resonance (NMR) spectroscopy combined with chemometric tools provides new perspectives for quality control of edible oils. This study compares the potential of different MHz NMR spectroscopy and found that models built on these spectra have equivalent performances. Compared to classical methods, this new approach allows quick spectrum acquisition without the need for sample preparation or deuterated solvents.

FOOD CHEMISTRY (2021)

Review Chemistry, Analytical

Recent trends in multi-block data analysis in chemometrics for multi- source data integration

Puneet Mishra et al.

Summary: This review provides a brief overview of popular multi-block data analysis methods, including their concepts, applications, advantages and disadvantages, as well as software resources, emphasizing their importance in the field of chemometrics.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2021)

Article Food Science & Technology

Advances in Atypical FT-IR Milk Screening: Combining Untargeted Spectra Screening and Cluster Algorithms

Lukas Spiess et al.

Summary: The study evaluates the potential of using Fourier-transform mid-infrared spectrometry combined with cluster algorithms to screen adulterated liquid milk products. The combination of untargeted screening methods and cluster algorithms can reveal meaningful and generalizable categories of atypical milk spectra, providing valuable complementary quality assurance in routine FTIR milk analysis. Spectral information and meta-data associated with their acquisition can be used to form hypotheses about the underlying causes of atypical milk composition.

FOODS (2021)

Article Food Science & Technology

Development of chemometric models using Vis-NIR and Raman spectral data fusion for assessment of infant formula storage temperature and time

Xiao Wang et al.

Summary: This study evaluated the potential of combining Vis-NIR and Raman spectral data fusion with chemometric models for commercial infant formula samples. The study found the best models for discriminating between storage temperatures and predicting storage time, demonstrating the application potential of Vis-NIR and Raman process analytical tools in quality assessment and process control of infant formula manufacture.

INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES (2021)

Review Biochemical Research Methods

Potential of Raman spectroscopy for the analysis of plasma/serum in the liquid state: recent advances

Drishya Rajan Parachalil et al.

ANALYTICAL AND BIOANALYTICAL CHEMISTRY (2020)

Article Automation & Control Systems

Data preprocessing for multiblock modelling - A systematization with new methods

Maria P. Campos et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

A survey on machine learning for data fusion

Tong Meng et al.

INFORMATION FUSION (2020)

Article Clinical Neurology

Extraction of Common Task Features in EEG-fMRI Data Using Coupled Tensor-Tensor Decomposition

Yaqub Jonmohamadi et al.

BRAIN TOPOGRAPHY (2020)

Article Food Science & Technology

Investigation of heat-acid induced coagulation behaviour of whole milk systems employing front-face fluorescence spectroscopy

Purba Chakraborty et al.

INTERNATIONAL JOURNAL OF DAIRY TECHNOLOGY (2020)

Review Chemistry, Analytical

Information fusion of emerging non-destructive analytical techniques for food quality authentication: A survey

Lei Zhou et al.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2020)

Review Chemistry, Analytical

New data preprocessing trends based on ensemble of multiple preprocessing techniques

Puneet Mishra et al.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2020)

Article Chemistry, Multidisciplinary

The statistical fusion identification of dairy products based on extracted Raman spectroscopy

Zheng-Yong Zhang

RSC ADVANCES (2020)

Article Computer Science, Information Systems

Unsupervised K-Means Clustering Algorithm

Kristina P. Sinaga et al.

IEEE ACCESS (2020)

Article Food Science & Technology

Structural changes of milk proteins during heating of concentrated skim milk determined using FTIR

Tatijana Markoska et al.

INTERNATIONAL DAIRY JOURNAL (2019)

Article Food Science & Technology

Raman spectroscopy based characterization of desi ghee obtained from buffalo and cow milk

Naveed Ahmad et al.

INTERNATIONAL DAIRY JOURNAL (2019)

Article Food Science & Technology

FTIR-ATR determination of protein content to evaluate whey protein concentrate adulteration

Jonathan Andrade et al.

LWT-FOOD SCIENCE AND TECHNOLOGY (2019)

Article Agriculture, Multidisciplinary

Using Fluorescence Spectroscopy To Identify Milk from Grass-Fed Dairy Cows and To Monitor Its Photodegradation

Ujjal Bhattacharjee et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2018)

Article Biochemistry & Molecular Biology

Pasture Feeding Changes the Bovine Rumen and Milk Metabolome

Tom F. O'Callaghan et al.

METABOLITES (2018)

Article Food Science & Technology

Fourier transform infrared spectroscopy analysis of physicochemical changes in UHT milk during accelerated storage

Manpreet Kaur Grewal et al.

INTERNATIONAL DAIRY JOURNAL (2017)

Review Food Science & Technology

Applications of fluorescence spectroscopy in dairy processing: a review

Saif Shaikh et al.

CURRENT OPINION IN FOOD SCIENCE (2017)

Article Chemistry, Analytical

Characterization of nutritional parameters in bovine milk by Raman spectroscopy with least squares modeling

Landulfo Silveira et al.

INSTRUMENTATION SCIENCE & TECHNOLOGY (2016)

Article Agriculture, Dairy & Animal Science

Capitalizing on fine milk composition for breeding and management of dairy cows

N. Gengler et al.

JOURNAL OF DAIRY SCIENCE (2016)

Article Geochemistry & Geophysics

Data Fusion and Remote Sensing An ever-growing relationship

Michael Schmitt et al.

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2016)

Review Chemistry, Analytical

Data fusion methodologies for food and beverage authentication and quality assessment - A review

Eva Borras et al.

ANALYTICA CHIMICA ACTA (2015)

Article Automation & Control Systems

Combining SO-PLS and linear discriminant analysis for multi-block classification

Alessandra Biancolillo et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)

Review Food Science & Technology

Food traceability: New trends and recent advances. A review

R. Badia-Melis et al.

FOOD CONTROL (2015)

Article Agriculture, Dairy & Animal Science

Prediction of bovine milk technological traits from mid-infrared spectroscopy analysis in dairy cows

G. Visentin et al.

JOURNAL OF DAIRY SCIENCE (2015)

Article Agriculture, Dairy & Animal Science

Standardization of milk mid-infrared spectra from a European dairy network

C. Grelet et al.

JOURNAL OF DAIRY SCIENCE (2015)

Article Chemistry, Analytical

Analysis of milk by FT-Raman spectroscopy

Sylwester Mazurek et al.

TALANTA (2015)

Article Agriculture, Dairy & Animal Science

Evaluation of milk compositional variables on coagulation properties using partial least squares

Julie H. Bland et al.

JOURNAL OF DAIRY RESEARCH (2015)

Article Biochemical Research Methods

Structure-revealing data fusion

Evrim Acar et al.

BMC BIOINFORMATICS (2014)

Editorial Material Chemistry, Applied

New applications of near infrared spectroscopy on dairy products

Tiziana M. P. Cattaneo et al.

JOURNAL OF NEAR INFRARED SPECTROSCOPY (2013)

Article Chemistry, Applied

The use of in- and on-line near infrared spectroscopy for milk powder measurement

Stephen E. Holroyd et al.

JOURNAL OF NEAR INFRARED SPECTROSCOPY (2013)

Article Spectroscopy

An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration

Yong-Huan Yun et al.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2013)

Review Multidisciplinary Sciences

A Review of Data Fusion Techniques

Federico Castanedo

SCIENTIFIC WORLD JOURNAL (2013)

Review Instruments & Instrumentation

Applications of Raman Spectroscopy in Agricultural Products and Food Analysis: A Review

Danting Yang et al.

APPLIED SPECTROSCOPY REVIEWS (2011)

Article Agriculture, Dairy & Animal Science

Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries

H. Soyeurt et al.

JOURNAL OF DAIRY SCIENCE (2011)

Article Spectroscopy

Fourier-transform Raman analysis of milk powder: a potential method for rapid quality screening

Mariana R. Almeida et al.

JOURNAL OF RAMAN SPECTROSCOPY (2011)

Article Chemistry, Analytical

Discrimination and sensory description of beers through data fusion

L. Vera et al.

TALANTA (2011)

Article Chemistry, Analytical

Fast determination of milk fat content using Raman spectroscopy

R. M. El-Abassy et al.

VIBRATIONAL SPECTROSCOPY (2011)

Article Chemistry, Analytical

Raman spectroscopic quantification of milk powder constituents

C. M. McGoverin et al.

ANALYTICA CHIMICA ACTA (2010)

Article Environmental Sciences

The Melamine Incident: Implications for International Food and Feed Safety

Celine Marie-Elise Gossner et al.

ENVIRONMENTAL HEALTH PERSPECTIVES (2009)

Article Agriculture, Dairy & Animal Science

Potential estimation of major mineral contents in cow milk using mid-infrared spectrometry

H. Soyeurt et al.

JOURNAL OF DAIRY SCIENCE (2009)

Article Agriculture, Dairy & Animal Science

Prediction of coagulation properties, titratable acidity, and pH of bovine milk using mid-infrared spectroscopy

M. De Marchi et al.

JOURNAL OF DAIRY SCIENCE (2009)

Review Agriculture, Multidisciplinary

Fluorescence spectroscopy: A rapid tool for analyzing dairy products

Charlotte Moller Andersen et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2008)

Article Automation & Control Systems

Regression models with process variables and parallel blocks of raw material measurements

Ingrid Mage et al.

JOURNAL OF CHEMOMETRICS (2008)

Article Agriculture, Dairy & Animal Science

Application of FT-IR spectroscopy to analyze casein in cow milk

L. Calamari et al.

ITALIAN JOURNAL OF ANIMAL SCIENCE (2007)

Article Chemistry, Analytical

Evaluation of nutritional parameters in infant formulas and powdered milk by Raman spectroscopy

J. Moros et al.

ANALYTICA CHIMICA ACTA (2007)

Article Chemistry, Analytical

Combination of mid- and near-infrared spectroscopy for the determination of the quality properties of beers

Fernando A. Inon et al.

ANALYTICA CHIMICA ACTA (2006)

Article Food Science & Technology

Evaluation of front-face fluorescence for assessing thermal processing of milk

GP Schamberger et al.

JOURNAL OF FOOD SCIENCE (2006)

Article Agriculture, Multidisciplinary

Determination of the conjugated linoleic acids in cow's milk fat by Fourier transform Raman spectroscopy

M Meurens et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2005)

Article Agriculture, Dairy & Animal Science

Front-face fluorescence spectroscopy and chemometrics in analysis of yogurt: Rapid analysis of riboflavin

EM Becker et al.

JOURNAL OF DAIRY SCIENCE (2003)

Article Chemistry, Analytical

Electronic nose and electronic tongue integration for improved classification of clinical and food samples

C Di Natale et al.

SENSORS AND ACTUATORS B-CHEMICAL (2000)