NON-DESTRUCTIVE DETERMINATION OF NITRATE ION IN LEAF STALK OF QING GIN CAI USING VISIBLE (VIS)-NEAR INFRARED (NIR) SPECTROSCOPY

2006 ◽  
pp. 363-370 ◽  
Author(s):  
H. Ito ◽  
F. Idezawa
Keyword(s):  
Near Infrared ◽  
Nir Spectroscopy ◽  
Nitrate Ion ◽  
Non Destructive

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;

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 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 determination of egg-cholesterol by near infrared (NIR) spectroscopy

2013 ◽  
Vol 84 (1) ◽  
pp. 77-80 ◽  
Author(s):  
Hiroyuki ABE ◽  
Yoko YAKABE ◽  
Masahiro AMARI
Keyword(s):  
Near Infrared ◽  
Nir Spectroscopy ◽  
Non Destructive

Non-destructive determination of soluble solids in chufa by FT-near infrared (FT-NIR) spectroscopy

2005 ◽  
Author(s):  
Guang Ma ◽  
Yibin Ying ◽  
Huishan Lu ◽  
Xiaping Fu ◽  
Haiyan Yu ◽  
...  
Keyword(s):  
Near Infrared ◽  
Nir Spectroscopy ◽  
Soluble Solids ◽  
Non Destructive

scholarly journals Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 196
Author(s):  
Araz Soltani Nazarloo ◽  
Vali Rasooli Sharabiani ◽  
Yousef Abbaspour Gilandeh ◽  
Ebrahim Taghinezhad ◽  
Mariusz Szymanek ◽  
...  
Keyword(s):  
Near Infrared ◽  
Cross Validation ◽  
Low Cost ◽  
Moving Average ◽  
Nir Spectroscopy ◽  
Control Treatment ◽  
Residue Detection ◽  
Non Destructive ◽  
Reflective Spectroscopy

The purpose of this work was to investigate the detection of the pesticide residual (profenofos) in tomatoes by using visible/near-infrared spectroscopy. Therefore, the experiments were performed on 180 tomato samples with different percentages of profenofos pesticide (higher and lower values than the maximum residual limit (MRL)) as compared to the control (no pesticide). VIS/near infrared (NIR) spectral data from pesticide solution and non-pesticide tomato samples (used as control treatment) impregnated with different concentrations of pesticide in the range of 400 to 1050 nm were recorded by a spectrometer. For classification of tomatoes with pesticide content at lower and higher levels of MRL as healthy and unhealthy samples, we used different spectral pre-processing methods with partial least squares discriminant analysis (PLS-DA) models. The Smoothing Moving Average pre-processing method with the standard error of cross validation (SECV) = 4.2767 was selected as the best model for this study. In addition, in the calibration and prediction sets, the percentages of total correctly classified samples were 90 and 91.66%, respectively. Therefore, it can be concluded that reflective spectroscopy (VIS/NIR) can be used as a non-destructive, low-cost, and rapid technique to control the health of tomatoes impregnated with profenofos pesticide.

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