Fluorescence spectroscopy coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems

Hammami, M.; Rouissi, H.; Salah, Nizar Ben; Selmi, H.; Al-Otaibi, Mutlag M.; Blecker, Christophe; Karoui, Romdhane

doi:10.1016/j.foodchem.2010.03.107

Cited by 51 publications

(35 citation statements)

References 17 publications

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“…In this case, principal component analysis (PCA), common component and specific weights analysis (CCSWA), partial least squares regression (PLS), factorial discriminant analysis (FDA), parallel factor analysis (PARAFAC), etc. have proven to be powerful methods for the extraction of valuable information (Boubellouta and Dufour 2010;Christensen et al 2006;Hammami et al 2010;Kulmyrzaev and Dufour 2010).…”

Section: Discussionmentioning

confidence: 99%

“…The emission spectrum Boubellouta and Dufour (2008), Dufour and Riaublanc (1997), Dufour et al (2000), Hammami et al (2010), Herbert et al (1999Herbert et al ( , 2000, Dufour (2003, 2006), Karoui et al 2004a, b, 2005a, b, c, 2006b, e, 2007c, Kulmyrzaev et al (2005 Baunsgaard et al (2000a, b), Bro (1999), Karoui et al (2007a, Munck et al (1998), Nørgaard (1995, Ruoff et al (2006) Noh and Lu (2007), Seiden et al (1996) Ammor et al (2004, Dufour (2002, 2004), Leriche et al (2004), Tourkya et al (2009 Collagen Egelandsdal et al (1996Egelandsdal et al (...…”

Section: Emission Spectrummentioning

confidence: 99%

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Fluorescence Spectroscopy Measurement for Quality Assessment of Food Systems—a Review

Karoui

Blecker

2010

Food Bioprocess Technol

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309

129

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The present review gives an overview of the use of fluorescence spectroscopy (i.e., conventional, excitationemission matrix, and synchronous fluorescence) for determining changes in food products and their quality during technological process and storage. From the present review, it was shown that fluorescence spectroscopy is able to determine several properties (functional, composition, nutritional) without the use of chemical reagents. This is due to the use of chemometric tools (descriptive and predictive methods). The review focuses on the use of fluorescence spectroscopy for the determination of the quality of animal (i.e., dairy, meat, fish, and egg) and vegetable (oils, cereal, sugar, fruit, and vegetable) products as well as the identification of bacteria of agro-alimentary interest.

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Section: Discussionmentioning

confidence: 99%

Section: Emission Spectrummentioning

confidence: 99%

Fluorescence Spectroscopy Measurement for Quality Assessment of Food Systems—a Review

Karoui

Blecker

2010

Food Bioprocess Technol

Self Cite

309

129

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“…To do so, analyses very easy to implement in the African context were chosen and the results obtained were treated by principal components and factorial discriminant analyses. These tools have already showed their relevance in the case of tea, milk, and red wine origin or authenticity discrimination (Hammami et al, 2010;Rodríguez-Delgado et al, 2002;Zhao et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis

et al. 2019

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“…This approach has been implemented successfully for the quantitative analysis of various complex biogenic samples from, e.g. wine [50], milk [40,51], food [5,52,53], and cell culture media [4,35,54]. In many of these applications, there are generally multiple fluorophores present, often at high concentration.…”

Section: Inner Filter Effects (Ife)mentioning

confidence: 99%

Calibration, standardization, and quantitative analysis of multidimensional fluorescence (MDF) measurements on complex mixtures (IUPAC Technical Report)

Ryder

Stedmon

Harrit

et al. 2017

Pure and Applied Chemistry

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This IUPAC Technical Report describes and compares the currently applied methods for the calibration and standardization of multi-dimensional fluorescence (MDF) spectroscopy data as well as recommendations on the correct use of chemometric methods for MDF data analysis. The paper starts with a brief description of the measurement principles for the most important MDF techniques and a short introduction to the most important applications. Recommendations are provided for instrument calibration, sample preparation and handling, and data collection, as well as the proper use of chemometric data analysis methods.

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Fluorescence spectroscopy coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems

Cited by 51 publications

References 17 publications

Fluorescence Spectroscopy Measurement for Quality Assessment of Food Systems—a Review

Fluorescence Spectroscopy Measurement for Quality Assessment of Food Systems—a Review

Identification of roselle varieties through simple discriminating physicochemical characteristics using multivariate analysis

Calibration, standardization, and quantitative analysis of multidimensional fluorescence (MDF) measurements on complex mixtures (IUPAC Technical Report)

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