Unconventional steady-state fluorescence spectroscopy as an analytical technique for analyses of complex-multifluorophoric mixtures

Kumar, Keshav; Tarai, Madhumita; Mishra, Ashok Kumar

doi:10.1016/j.trac.2017.09.004

Cited by 74 publications

(31 citation statements)

References 266 publications

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“…Characterization of real multifluorophoric food samples requires more advanced measurement techniques than conventional emission or excitation spectra. The advanced fluorescence techniques have often been used in food studies, including excitation-emission matrix (EEM) fluorescence spectroscopy, synchronous fluorescence spectroscopy (SFS), and total synchronous fluorescence spectroscopy (TSFS) [87,92].…”

Section: Fluorescence Spectroscopymentioning

confidence: 99%

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Hassoun

Måge

Schmidt

et al. 2020

Foods

111

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Animal origin food products, including fish and seafood, meat and poultry, milk and dairy foods, and other related products play significant roles in human nutrition. However, fraud in this food sector frequently occurs, leading to negative economic impacts on consumers and potential risks to public health and the environment. Therefore, the development of analytical techniques that can rapidly detect fraud and verify the authenticity of such products is of paramount importance. Traditionally, a wide variety of targeted approaches, such as chemical, chromatographic, molecular, and protein-based techniques, among others, have been frequently used to identify animal species, production methods, provenance, and processing of food products. Although these conventional methods are accurate and reliable, they are destructive, time-consuming, and can only be employed at the laboratory scale. On the contrary, alternative methods based mainly on spectroscopy have emerged in recent years as invaluable tools to overcome most of the limitations associated with traditional measurements. The number of scientific studies reporting on various authenticity issues investigated by vibrational spectroscopy, nuclear magnetic resonance, and fluorescence spectroscopy has increased substantially over the past few years, indicating the tremendous potential of these techniques in the fight against food fraud. It is the aim of the present manuscript to review the state-of-the-art research advances since 2015 regarding the use of analytical methods applied to detect fraud in food products of animal origin, with particular attention paid to spectroscopic measurements coupled with chemometric analysis. The opportunities and challenges surrounding the use of spectroscopic techniques and possible future directions will also be discussed.

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Section: Fluorescence Spectroscopymentioning

confidence: 99%

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Hassoun

Måge

Schmidt

et al. 2020

Foods

111

View full text Add to dashboard Cite

show abstract

“…Conversely, fluorescence spectroscopy is the direct detection technique that has been mostly exploited in order to solve classification issues. In fact, this analytical platform is emerging as a competitive technique in the field of characterization due to its moderate selectivity and high sensitivity, which has been applied to the detection of a very wide range of analytes [13]; in addition, it is a relatively fast and inexpensive analytical technique [14,15].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Additionally, the introduction of new commercially available instruments for fluorescence analysis has allowed inquiring into the use of other alternatives such as synchronous and frontface fluorescence spectroscopy. These new approaches have increased the varieties of samples that can be analysed by fluorescence [15,60].…”

Section: Luminescence Matrixmentioning

confidence: 99%

Modeling second-order data for classification issues: Data characteristics, algorithms, processing procedures and applications

Azcarate

Gomes

Peña

et al. 2018

TrAC Trends in Analytical Chemistry

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“…mixtures are usually severely overlapped with each other and don't have any specific spectral features. Moreover, the shape and intensities of emission and excitation spectra keep changing with changes in excitation and emission wavelengths, respectively [6]. The fluorescence response of all the fluorophores of a multi-fluorophore mixture is different to capture by the two-dimensional spectra, i.e., a single excitation or emission spectra.…”

Section: Introductionmentioning

confidence: 99%

“…Excitation-emission matrix fluorescence (EEMF) spectroscopy is essentially a collection of emission and excitation spectra collected at various excitation and emission wavelengths, respectively [7]. All the fluorophores of a multi-fluorophore fluorescent sample can be plotted simultaneously in a single EEMF spectroscopy [6]. Nowadays, EEMF spectroscopy has been widely used for identifying the oils [5], [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

A Novel Strategy for Identifying Oil Pollutants Based on Excitation-Emission Matrix Fluorescence Spectroscopy and Zernike Moments

Cui

Kong

et al. 2020

IEEE Access

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Human health and ecological environment are badly affected due to oil pollution. A novel strategy for identifying oil pollutants has been proposed based on generic modular design. A total of three modules are included in the oil identification strategy and each module is consisted of a series of steps. The different steps of each module were experimented and evaluated by excitation-emission matrix fluorescence spectroscopy data set of oil. The experimental results show that the average accuracy with 13.6% was improved by using the histogram equalization than using thresholding in module 1. The average accuracy with 5% was improved by using the low-order Zernike moments than using high-order Zernike moments in module 2. The average accuracy with 28.9% was improved by using angle similarity measure in the nearest-neighbor classifier compared to the other six in module 3. The optimal accuracy with 95% was obtained by combining the margin features of excitation-emission matrix fluorescence spectroscopy extracted by low-order Zernike moments with the nearest-neighbor classifier applied to angle similarity measure. The combination also has a good specificity and sensitivity. The results provide references for identifying oil pollutants. INDEX TERMS Oil pollutants, modular design, excitation-emission matrix fluorescence spectroscopy, Zernike moments.

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Unconventional steady-state fluorescence spectroscopy as an analytical technique for analyses of complex-multifluorophoric mixtures

Cited by 74 publications

References 266 publications

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Modeling second-order data for classification issues: Data characteristics, algorithms, processing procedures and applications

A Novel Strategy for Identifying Oil Pollutants Based on Excitation-Emission Matrix Fluorescence Spectroscopy and Zernike Moments

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