Recent advancements in detecting sugar-based adulterants in honey – A challenge

Wu, Liming; Du, Bing; Heyden, Yvan Vander; Chen, Lanzhen; Zhao, Luping; Miao, Wang; Xue, Xiaofeng

doi:10.1016/j.trac.2016.10.013

Cited by 143 publications

(114 citation statements)

References 106 publications

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“…PLS‐DA is a popular supervised predictive modeling method that has many applications in various fields, including medical diagnosis , forensic science , food analysis , metabolomics , and soil science . In this study, PLS‐DA was used to construct a discriminant model for fatal hypothermia diagnosis.…”

Section: Methodsmentioning

confidence: 99%

Postmortem Diagnosis of Fatal Hypothermia by Fourier Transform Infrared Spectroscopic Analysis of Edema Fluid in Formalin‐Fixed, Paraffin‐Embedded Lung Tissues

Lin

Guo

Luo

et al. 2019

Journal of Forensic Sciences

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The goal of this study was to investigate whether pulmonary edema could become a specific diagnostic marker for fatal hypothermia using Fourier transform infrared (FTIR) spectroscopy in combination with chemometrics. The spectral profile analysis indicated that hypothermia fatalities associated with pulmonary edema fluid contained more b-sheet protein conformational structures than the control causes of death, which included sudden cardiac death, brain injury, cerebrovascular disease, mechanical asphyxiation, intoxication, and drowning. Subsequently, the results of principal component analysis (PCA) further revealed that the content of b-sheet protein conformational structures in the pulmonary edema fluid was the main discriminatory marker between fatal hypothermia and the other causes of death. Ultimately, a robust postmortem diagnostic model for fatal hypothermia using a partial least-squares discriminant analysis (PLS-DA) algorithm was constructed. Pulmonary edema fluid spectra collected from eight new forensic autopsy cases that did not participate in the construction of the diagnostic model were predicted using the model. The results showed the causes of death of all these eight cases were correctly classified. In conclusion, this preliminary study demonstrates that FTIR spectroscopy in combination with chemometrics could be a promising approach for the postmortem diagnosis of fatal hypothermia.

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Section: Methodsmentioning

confidence: 99%

Postmortem Diagnosis of Fatal Hypothermia by Fourier Transform Infrared Spectroscopic Analysis of Edema Fluid in Formalin‐Fixed, Paraffin‐Embedded Lung Tissues

Lin

Guo

Luo

et al. 2019

Journal of Forensic Sciences

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“…() provided interesting and current information on the multiplicity of analytical methods that can be used to identify adulteration in foods. Such methods include vibrational spectroscopy (dos Santos et al., ), including near‐infrared, NIRS (Chiesa et al., ), mid‐infrared spectroscopy (Karoui, Downey, & Blecker, ), and Fourier‐transform infrared (FTIR; Gao, Zhou, Han, Yang, & Liu, ), nuclear magnetic resonance, NMR (Gad & Bouzabata, ; Longobardi et al., ; Spiteri et al., ), mass spectrometry (Wu et al., ), proton transfer reaction mass spectrometry (Granato, Koot, & van Ruth, ), spectrophotometric, potentiometric, and chromatographic methods (Alonso‐Salces, Serra, Reniero, & Heberger, ; Granato, Margraf, Brotzakis, Capuano, & van Ruth, ; Wu et al., ), and other methods (Azcarate, Gil, Smichowski, Savio, & Camiña, ; Bevilacqua et al., ; Dong, Zhao, Hu, Dong, & Tan, ). Such methods provide a robust fingerprint of the test samples and usually generate a large and complex data matrix that, if properly analyzed, can show even slight differences between factors (such as lots, manufacturers, geographical origin, and so on; Peng et al., ).…”

Section: Chemometrics In Food‐related Disciplinesmentioning

confidence: 99%

“…Concern is driven by public interest in food quality and safety (Danezis, Tsagkaris, Camin, Brusic, & Georgiou, ). The use of chemometrics with appropriate analytical techniques can identify adulteration of wines (Alañón, Pérez‐Coello, & Marina, ), honey (Wu et al., ), essential oils (Do, Hadji‐Minaglou, Antoniotti, & Fernandez, ), and many other high‐value products. Aside from food adulterations, chemometrics can be used to analyze data on soil toxicity (Peng et al., ), influences of climate on the nutritional value of foods (Obranović et al., ), and changes in functional properties as a consequence of processing (Bursać Kovačević et al., ; Herceg et al., ), just to mention few practical examples that will be discussed later.…”

Section: Introductionmentioning

confidence: 99%

Trends in Chemometrics: Food Authentication, Microbiology, and Effects of Processing

Granato

Putnik

Kovačević

et al. 2018

Comp Rev Food Sci Food Safe

349

202

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In the last decade, the use of multivariate statistical techniques developed for analytical chemistry has been adopted widely in food science and technology. Usually, chemometrics is applied when there is a large and complex dataset, in terms of sample numbers, types, and responses. The results are used for authentication of geographical origin, farming systems, or even to trace adulteration of high value-added commodities. In this article, we provide an extensive practical and pragmatic overview on the use of the main chemometrics tools in food science studies, focusing on the effects of process variables on chemical composition and on the authentication of foods based on chemical markers. Pattern recognition methods, such as principal component analysis and cluster analysis, have been used to associate the level of bioactive components with in vitro functional properties, although supervised multivariate statistical methods have been used for authentication purposes. Overall, chemometrics is a useful aid when extensive, multiple, and complex real-life problems need to be addressed in a multifactorial and holistic context. Undoubtedly, chemometrics should be used by governmental bodies and industries that need to monitor the quality of foods, raw materials, and processes when high-dimensional data are available. We have focused on practical examples and listed the pros and cons of the most used chemometric tools to help the user choose the most appropriate statistical approach for analysis of complex and multivariate data.

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“…These methods should directly look for the presence of expected compounds with definite concentrations (which distinguish a certain honey from another) and to look for the presence of any unexpected compounds (which distinguish a certain adulterant in the pure honey). There are many techniques utilised by researchers for detecting honey fraud based on chromatographic methods or non-chromatographic methods such as NIR spectrometry, nuclear magnetic resonance (NMR) spectroscopy, simultaneous distillation-extraction or microscopic detection techniques (Perez-Arquillu e et al, 1994;Anklam, 1998;Jasicka-Misiak et al, 2012;Lenhardt et al, 2014;Siddiqui et al, 2017;Wu et al, 2017). Each of these techniques has its own advantages and limitations.…”

Section: Introductionmentioning

confidence: 99%

Real‐time quality authentication of honey using atmospheric pressure chemical ionisation mass spectrometry (APCI‐MS)

ElMasry

Morsy

Al-Rejaie

et al. 2019

Int J of Food Sci Tech

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Summary The aim of this study was to use gas chromatography‐mass spectrometry (GC‐MS) and APCI‐MS techniques to detect adulteration in honey. The key volatile compounds in the headspace of the adulterated honey were marked by GC‐MS and their representative fragment ions were utilised in scanning honey samples using the real‐time APCI‐MS system. The PLS models validated using independent data sets resulted in coefficient of the determination (Rp2) of 0.97 and 0.96 and root mean square error in prediction (RMSEP) of 2.62 and 2.45 for the GC‐MS and APCI‐MS data sets respectively. The most efficient volatiles from GC‐MS analysis and their corresponding fragment ions m/z from APCI‐MS data analysis were then identified and used to develop new PLS models to predict the level of adulteration. The best PLS model gave Rp2 of 0.95 and RMEP of 2.60% in the independent validation set indicating that the model was very accurate in predicting the level of adulteration.

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Recent advancements in detecting sugar-based adulterants in honey – A challenge

Cited by 143 publications

References 106 publications

Postmortem Diagnosis of Fatal Hypothermia by Fourier Transform Infrared Spectroscopic Analysis of Edema Fluid in Formalin‐Fixed, Paraffin‐Embedded Lung Tissues

Postmortem Diagnosis of Fatal Hypothermia by Fourier Transform Infrared Spectroscopic Analysis of Edema Fluid in Formalin‐Fixed, Paraffin‐Embedded Lung Tissues

Trends in Chemometrics: Food Authentication, Microbiology, and Effects of Processing

Real‐time quality authentication of honey using atmospheric pressure chemical ionisation mass spectrometry (APCI‐MS)

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