Determination of Tomato Quality by near Infrared Spectroscopy

1998 ◽  
Vol 6 (A) ◽  
pp. A321-A324 ◽  
Author(s):  
T.L. Hong ◽  
Samson C.S. Tsou
Keyword(s):  
Near Infrared ◽  
Nir Spectroscopy ◽  
Titratable Acidity ◽  
B Value ◽  
Chemical Pollution ◽  
Soluble Solid ◽  
Breeding Programmes ◽  
Destructive Measurement ◽  
Non Destructive

Near infrared (NIR) spectroscopy was used in the quality assessment of tomato. The experimental results demonstrated that acceptable prediction of quality index, including total soluble solid, titratable acidity and colour (-a/b value) could be achieved. The advantages of using NIR spectroscopy include rapid analysis, simplified sample preparation, non-destructive measurement and lack of chemical pollution. This has suggested that NIR spectroscopy can serve as a useful tool for mass screening in breeding programmes and also for quality control in the processing industry.

scholarly journals Determination of selected parameters of quality of the dairy products by NIR spectroscopy

2011 ◽  
Vol 24 (No. 6) ◽  
pp. 255-260 ◽  
Author(s):  
J. Růžičková ◽  
K. Šustová
Keyword(s):  
Dairy Products ◽  
Near Infrared ◽  
Correlation Coefficients ◽  
Nir Spectroscopy ◽  
Integrating Sphere ◽  
Calibration Model ◽  
Titrable Acidity ◽  
Non Destructive

The possibility of the application of near-infrared spectroscopy to the analysis of the selected parameters of quality of the dairy products was followed. The contents of solids and fat, as well as pH in yoghurts (also the titrable acidity), milk semolina, and milk rice were determined. The samples were analysed by reference methods and by FT NIR spectroscope at integrating sphere within reflectance mode in the wavelength range of 10 000&ndash;4&nbsp;000 cm<sup>&ndash;1 </sup>with 100&nbsp;scans. To develop the calibration model for the components examined, the partial least squares (PLS) was used and this model was validated by full cross validation. The highest correlation coefficients were found with yoghurt: 0.998 (solids), 0.989 (fat), 0.875 (pH) and 0.989 (titrable acidity), with milk semolina: 0.967 (solids), 0.983 (fat) and 0.992 (pH), and with milk rice: 0.987 (solids), 0.990 (fat) and 0.852 (pH). The results of this study showed the availability of NIR spectroscopy for a quick and non-destructive analysis of the dairy products. &nbsp;

Non-destructive measurement of total soluble solid (TSS) content of dates using near infrared (NIR) imaging

2014 ◽  
Vol 26 (11) ◽  
pp. 970 ◽  
Author(s):  
A Manickavasagan ◽  
K Ganeshmoorthy ◽  
M Claereboudt ◽  
R AlYahyai ◽  
L Khriji
Keyword(s):  
Near Infrared ◽  
Total Soluble Solid ◽  
Nir Imaging ◽  
Soluble Solid ◽  
Destructive Measurement ◽  
Non Destructive

scholarly journals Real-time simultaneous detection of microbial contamination and determination of an ultra low-content active pharmaceutical ingredient in tazarotene gel by near-infrared spectroscopy

RSC Advances ◽  
2018 ◽  
Vol 8 (48) ◽  
pp. 27037-27044 ◽  
Author(s):  
Qian Xie ◽  
Ruanqi Wu ◽  
Xiaoxiao Zhong ◽  
Yanhong Dong ◽  
Qi Fan
Keyword(s):  
Infrared Spectroscopy ◽  
Real Time ◽  
Near Infrared Spectroscopy ◽  
Microbial Contamination ◽  
Near Infrared ◽  
Simultaneous Detection ◽  
Nir Spectroscopy ◽  
Active Pharmaceutical Ingredient ◽  
Non Destructive

This paper proposes a real-time and non-destructive strategy for sensitive and simultaneous detection of microbial contamination and determination of an ultra low-content active pharmaceutical ingredient in tazarotene gel by NIR spectroscopy.

scholarly journals NIR Spectroscopy: A Non-destructive Method for PUFAs Determination of Forage

2012 ◽  
Vol 69 (1) ◽  
Author(s):  
Monica HARMANESCU
Keyword(s):  
Near Infrared ◽  
Organic Fertilizer ◽  
Nir Spectroscopy ◽  
Mineral Fertilizers ◽  
Permanent Grassland ◽  
Sheep Manure ◽  
West Part ◽  
Experimental Trials ◽  
Non Destructive

The objective of this study was to develop a non-destructive and rapid method for polyunsaturated fatty acids (PUFAs) content of forage from grassland using near infrared spectroscopy (NIRS). To accomplish this desiderate it was harvested forages in June from ten experimental trials of a permanent grassland situated in the south - west part of Romania, in Banat County, fertilized organic (fermented sheep manure), mineral and organic - mineral. On the permanent grassland the mineral fertilizers were applied yearly since 2003 and the organic fertilizer at each two years. For multivariate analysis to perform the NIR model was used a supervised technique, partial least squares (PLS) regression. The NIRS model was characterized by the following parameters: R 2 = 0.9888, RMSEC = 222.5, RMSEP = 215.7. The differences between the chemical results and those predicted recommend like promising the NIRS method for PUFAs contents prediction of forages from permanent grassland in studied conditions.

scholarly journals Non-Destructive Quality Measurement for Three Varieties of Tomato Using VIS/NIR Spectroscopy

2021 ◽  
Vol 13 (19) ◽  
pp. 10747
Author(s):  
Khadija Najjar ◽  
Nawaf Abu-Khalaf
Keyword(s):  
Near Infrared ◽  
Quality Measurement ◽  
Nir Spectroscopy ◽  
Principal Component ◽  
Titratable Acidity ◽  
Quality Parameters ◽  
Partial Least Square ◽  
Least Square ◽  
Soluble Solids ◽  
Non Destructive

The non-destructive visible/near-infrared (VIS/NIR) spectroscopy is a promising technique in determining the quality of agricultural commodities. Therefore, this study aimed to examine the ability of VIS/NIR spectroscopy (550–1100 nm) to distinguish between three different varieties of tomato (i.e., Ekram, Harver and Izmer), as well as to predict the quality parameters of tomato, such as soluble solids content (SSC), titratable acidity (TA), taste (SSC/TA) and firmness. Ninety intact samples from three tomato varieties were used. These samples were examined using VIS/NIR spectroscopy and quality parameters were also measured using traditional methods. Principal component analysis (PCA) and partial least square (PLS) were carried out. The results of PCA showed the ability of VIS/NIR spectroscopy to distinguish between the three varieties, where two PCs explained about 99% of the total variance in both calibration and validation sets. Moreover, PLS showed the possibility of modelling quality parameters. The correlation coefficient (R2) and the ratio of performance deviation (RPD) for all quality parameters (except for firmness) were found to be higher than 0.85 and 2.5, respectively. Thus, these results indicate that the VIS/NIR spectroscopy can be used to discriminate between different varieties of tomato and predict their quality parameters.

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