Next Article in Journal
Improved Distorted Configuration Space Path Planning and Its Application to Robot Manipulators
Next Article in Special Issue
Application of Near-Infrared Spectroscopy to Investigate Some Endogenic Properties of Pleurotus ostreatus Cultivars
Previous Article in Journal
Underwater Ambiguity Elimination Method Based on Co-Prime Sensor Array
Previous Article in Special Issue
Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue—Critical Overview
Open AccessArticle

Detection and Quantification of Tomato Paste Adulteration Using Conventional and Rapid Analytical Methods

1
Institute of Bioengineering and Process Control, Department of Measurements and Process Control, Faculty of Food Science, Szent István University, 1118 Budapest, Hungary
2
Institute of Food Technology, Department of Postharvest, Commercial and Sensory Science, Faculty of Food Science, Szent István University, 1118 Budapest, Hungary
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(21), 6059; https://doi.org/10.3390/s20216059
Received: 28 September 2020 / Revised: 17 October 2020 / Accepted: 21 October 2020 / Published: 24 October 2020
Tomato, and its concentrate are important food ingredients with outstanding gastronomic and industrial importance due to their unique organoleptic, dietary, and compositional properties. Various forms of food adulteration are often suspected in the different tomato-based products causing major economic and sometimes even health problems for the farmers, food industry and consumers. Near infrared (NIR) spectroscopy and electronic tongue (e-tongue) have been lauded as advanced, high sensitivity techniques for quality control. The aim of the present research was to detect and predict relatively low concentration of adulterants, such as paprika seed and corn starch (0.5, 1, 2, 5, 10%), sucrose and salt (0.5, 1, 2, 5%), in tomato paste using conventional (soluble solid content, consistency) and advanced analytical techniques (NIR spectroscopy, e-tongue). The results obtained with the conventional methods were analyzed with univariate statistics (ANOVA), while the data obtained with advanced analytical methods were analyzed with multivariate methods (Principal component analysis (PCA), linear discriminant analysis (LDA), partial least squares regression (PLSR). The conventional methods were only able to detect adulteration at higher concentrations (5–10%). For NIRS and e-tongue, good accuracies were obtained, even in identifying minimal adulterant concentrations (0.5%). Comparatively, NIR spectroscopy proved to be easier to implement and more accurate during our evaluations, when the adulterant contents were estimated with R2 above 0.96 and root mean square error (RMSE) below 1%. View Full-Text
Keywords: food adulteration; authentication; tomato paste; soluble solid content; Bostwick consistency; NIR spectroscopy; electronic tongue; chemometrics food adulteration; authentication; tomato paste; soluble solid content; Bostwick consistency; NIR spectroscopy; electronic tongue; chemometrics
Show Figures

Figure 1

MDPI and ACS Style

Vitalis, F.; Zaukuu, J.-L.Z.; Bodor, Z.; Aouadi, B.; Hitka, G.; Kaszab, T.; Zsom-Muha, V.; Gillay, Z.; Kovacs, Z. Detection and Quantification of Tomato Paste Adulteration Using Conventional and Rapid Analytical Methods. Sensors 2020, 20, 6059.

AMA Style

Vitalis F, Zaukuu J-LZ, Bodor Z, Aouadi B, Hitka G, Kaszab T, Zsom-Muha V, Gillay Z, Kovacs Z. Detection and Quantification of Tomato Paste Adulteration Using Conventional and Rapid Analytical Methods. Sensors. 2020; 20(21):6059.

Chicago/Turabian Style

Vitalis, Flora; Zaukuu, John-Lewis Z.; Bodor, Zsanett; Aouadi, Balkis; Hitka, Géza; Kaszab, Timea; Zsom-Muha, Viktoria; Gillay, Zoltan; Kovacs, Zoltan. 2020. "Detection and Quantification of Tomato Paste Adulteration Using Conventional and Rapid Analytical Methods" Sensors 20, no. 21: 6059.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop