1
|
Horváth-Mezőfi Z, Baranyai L, Nguyen LLP, Dam MS, Ha NTT, Göb M, Sasvár Z, Csurka T, Zsom T, Hitka G. Evaluation of Color and Pigment Changes in Tomato after 1-Methylcyclopropene (1-MCP) Treatment. Sensors (Basel) 2024; 24:2426. [PMID: 38676043 PMCID: PMC11054738 DOI: 10.3390/s24082426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024]
Abstract
The Polar Qualification System (PQS) was applied on hue spectra fingerprinting to describe color changes in tomato during storage. The cultivar 'Pitenza' was harvested at six different maturity stages, and half of the samples were subjected to gaseous 1-methylcyclopropene (1-MCP) treatment. Reference color parameters were recorded with a vision system colorimeter instrument, and the fruit pigment concentration was assessed with the DA-index®. Additionally, acoustic firmness (Stiffness) was measured. All acquired reference parameters were used to grade fruit in the supply chain. The applied 1-MCP treatments were used to control the ripening of climacteric horticultural produce. Both the DA-index® and stiffness values, presented as chlorophyll concentration and acoustic firmness, showed significant differences among maturity stages and treated and control samples and in their kinetics during storage. The machine vision parameter PQS-X was significantly affected by 1-MCP treatment (F = 10.18, p < 0.01), while PQS-Y was primarily affected by storage time (F = 18.18, p < 0.01) and maturity stage (F = 11.15, p < 0.01). A significant correlation was achieved for acoustic firmness with normalized color (r > 0.78) and PQS-Y (r > 0.80), as well as for the DA-index® (r > 0.9). The observed color changes agreed with the reference measurements. The significant statistical effect on the PQS coordinates suggests that hue spectra fingerprinting with this data compression technique is suitable for quality assessment based on color.
Collapse
Affiliation(s)
- Zsuzsanna Horváth-Mezőfi
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
| | - László Baranyai
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
| | - Lien Le Phuong Nguyen
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
| | - Mai Sao Dam
- Industrial University of Ho Chi Minh City, Ho Chi Minh 700000, Vietnam;
| | - Nga Thi Thanh Ha
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
- Faculty of Food Science and Technology, Ho Chi Minh City University of Industry and Trade, Ho Chi Minh 700000, Vietnam
| | - Mónika Göb
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
| | - Zoltán Sasvár
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
| | - Tamás Csurka
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
| | - Tamás Zsom
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
| | - Géza Hitka
- Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary; (Z.H.-M.); (L.B.); (L.L.P.N.); (N.T.T.H.); (M.G.); (Z.S.); (T.C.)
| |
Collapse
|
2
|
Szabo G, Vitalis F, Horvath-Mezofi Z, Gob M, Aguinaga Bosquez JP, Gillay Z, Zsom T, Nguyen LLP, Hitka G, Kovacs Z, Friedrich L. Application of Near Infrared Spectroscopy to Monitor the Quality Change of Sour Cherry Stored under Modified Atmosphere Conditions. Sensors (Basel) 2023; 23:479. [PMID: 36617077 PMCID: PMC9824794 DOI: 10.3390/s23010479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/27/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
Determining and applying ‘good’ postharvest and quality control practices for otherwise highly sensitive fruits, such as sour cherry, is critical, as they serve as excellent media for a wide variety of microbial contaminants. The objective of this research was to report two series of experiments on the modified atmosphere storage (MAP) of sour cherries (Prunus cerasus L. var. Kántorjánosi, Újfehértói fürtös). Firstly, the significant effect of different washing pre-treatments on various quality indices was examined (i.e., headspace gas composition, weight loss, decay rate, color, firmness, soluble solid content, total plate count) in MAP-packed fruits. Subsequently, the applicability of near infrared (NIR) spectroscopy combined with chemometrics was investigated to detect the effect of various storage conditions (packed as control or MAP, stored at 3 or 5 °C) on sour cherries of different perceived ripeness. Significant differences were found for oxygen concentration when two perforations were applied on the packages of ‘Kántorjánosi’ (p < 0.01); weight loss when ‘Kánorjánosi’ (p < 0.001) and ‘Újfehértói fürtös’ (p < 0.01) were packed in MAP; SSC when ‘Újfehértói fürtös’ samples were ozone-treated (p < 0.05); and total plate count when ‘Kántorjánosi’ samples were ozone-treated (p < 0.01). The difference spectra reflected the high variability in the samples, and the detectable effects of different packaging. Based on the investigations with the soft independent modelling of class analogies (SIMCA), different packaging and storage resulted in significant differences in most of the cases even on the first storage day, which in many cases increased by the end of storage. The soft independent modelling of class analogies proved to be suitable for classification with apparent error rates between 0 and 0.5 during prediction regardless of ripeness. The research findings suggest the further correlation of NIR spectroscopic and reference parameters to support postharvest handling and fast quality control.
Collapse
Affiliation(s)
- Gergo Szabo
- Department of Postharvest, Commerce, Supply Chain and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Flora Vitalis
- Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Zsuzsanna Horvath-Mezofi
- Department of Postharvest, Commerce, Supply Chain and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Monika Gob
- Department of Postharvest, Commerce, Supply Chain and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Juan Pablo Aguinaga Bosquez
- Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Zoltan Gillay
- Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Tamás Zsom
- Department of Postharvest, Commerce, Supply Chain and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Lien Le Phuong Nguyen
- Department of Livestock Product and Preservation Technology, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Geza Hitka
- Department of Postharvest, Commerce, Supply Chain and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Zoltan Kovacs
- Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| | - Laszlo Friedrich
- Department of Livestock Product and Preservation Technology, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), H-1118 Budapest, Hungary
| |
Collapse
|
3
|
Nagy D, Baranyai L, Nguyen LLP, Taczman Brückner A, Zsom T, Németh C, Felföldi J, Zsom-Muha V. Combined Effect of Ultrasound and Low-Heat Treatments on E. coli in Liquid Egg Products and Analysis of the Inducted Structural Alterations by NIR Spectroscopy. Sensors (Basel) 2022; 22:9941. [PMID: 36560311 PMCID: PMC9785716 DOI: 10.3390/s22249941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 12/10/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
In this study, sonication with mild heat treatment was used to reduce the E. coli count in inoculated liquid whole egg, egg yolk and albumen. Ultrasonic equipment (20/40 kHz, 180/300 W) has been used for 30/60 min with a 55 °C water bath. The combination of sonication and low-heat treatment was able to reduce the concentration of E. coli from 5-log CFU × mL-1 below 10 CFU × mL-1 at 300 W, 40 kHz and 60 min of sonication in liquid egg products. The 60 min treatment was able to reduce the E. coli concentration below 10 CFU × mL-1 in the case of egg yolk regardless of the applied frequency, absorbed power or applied energy dose. The 30 min treatment of sonication and heating was able to reduce significantly the number of E. coli in the egg products, as well. Our results showed that sonication with mild heat treatment can be a useful technique to decrease the number of microorganisms in liquid egg products to a very low level. Near-infrared spectroscopy was used to investigate structural changes in the samples, induced by the combined treatment. Principal component analysis showed that this method can alter the C-H, C-N, -OH and -NH bonds in these egg products.
Collapse
Affiliation(s)
- Dávid Nagy
- Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Somlói út 14–16, H-1118 Budapest, Hungary
| | - László Baranyai
- Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Somlói út 14–16, H-1118 Budapest, Hungary
| | - Lien Le Phuong Nguyen
- Department of Livestock Product and Food Preservation Technology, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Ménesi út 43–45, H-1118 Budapest, Hungary
- Institute of Biotechnology and Food Technology, Industrial University of Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam
| | - Andrea Taczman Brückner
- Department of Food Microbiology, Hygiene and Safety, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Somlói út 14–16, H-1118 Budapest, Hungary
| | - Tamás Zsom
- Department of Postharvest, Supply Chain, Commerce and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Ménesi út 43–45, H-1118 Budapest, Hungary
| | | | - József Felföldi
- Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Somlói út 14–16, H-1118 Budapest, Hungary
| | - Viktória Zsom-Muha
- Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Somlói út 14–16, H-1118 Budapest, Hungary
| |
Collapse
|
4
|
Nguyen LLP, Baranyai L, Nagy D, Mahajan PV, Zsom-Muha V, Zsom T. Color analysis of horticultural produces using hue spectra fingerprinting. MethodsX 2022; 8:101594. [PMID: 35004226 PMCID: PMC8720896 DOI: 10.1016/j.mex.2021.101594] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 11/25/2021] [Indexed: 10/28/2022] Open
Abstract
Color has great importance in agriculture due to its relationship with plant pigments and therefore, plant development and biochemical changes. Due to the trichromatic vision, instruments equipped with CCD or CMOS sensor represent color with the mixture of red, green and blue signals. These values are often transformed into HSL (hue, saturation, luminance) color space. Beyond average color of the visible surface area, histograms can represent color distribution. Interpretation of distribution can be challenging due to the information shared among histograms. Hue spectra fingerprinting offers color information suitable for analysis with common chemometric methods and easy to understand. Algorithm is presented with GNU Octave code.•Hue spectra is a histogram of hue angle over the captured scene but summarizes saturation instead of number of pixels. There are peaks of important colors, while others of low saturation disappear. Neutral backgrounds such as white, black or gray, are removed without the need of segmentation.•Color changes of fruits and vegetables are represented by displacement of color peaks. Since saturation is usually changing during ripening, storage and shelf life, peaks also change their shape by means of peak value and width.
Collapse
Affiliation(s)
- Lien Le Phuong Nguyen
- Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Budapest, Hungary.,Industrial University of Ho Chi Minh City, Institute of Biotechnology and Food Technology, Ho Chi Minh, Viet Nam
| | - László Baranyai
- Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Budapest, Hungary
| | - Dávid Nagy
- Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Budapest, Hungary
| | - Pramod V Mahajan
- Department of Horticultural Engineering, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam, Germany
| | - Viktória Zsom-Muha
- Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Budapest, Hungary
| | - Tamás Zsom
- Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Budapest, Hungary
| |
Collapse
|