Single kernel sorting of high and normal oleic acid peanuts using near infrared spectroscopy

2021 ◽  
pp. 096703352110535
Author(s):  
Daniel J O’Connor ◽  
Roger Meder ◽  
Angelo Furtado ◽  
Robert J Henry ◽  
Graeme C Wright ◽  
...  
Keyword(s):  
Oleic Acid ◽  
Near Infrared ◽  
Cardiovascular Health ◽  
Health Benefit ◽  
Oleic Acid Content ◽  
High Oleic ◽  
Near Infrared Spectra ◽  
Non Destructive ◽  
High Oleic Peanuts

Peanuts are known to contain nutrients that deliver cardiovascular and health benefits. One such compound is oleic acid, an omega-9 monounsaturated fatty acid, which occurs naturally in peanuts in the concentration range 40–55% m/m, while some varieties are known to contain oleic acid above 75% m/m. These high oleic peanuts have been shown to have cardiovascular health benefit by lowering lipid levels. Breeders are therefore interested in selecting for peanuts with high oleic acid content in a rapid, non-destructive manner. Near infrared spectra acquired on single peanut kernels was used to classify the kernels as either high oleic content or normal, low oleic content, by means of partial least squares discriminant analysis with an overall error rate in classification of 3.3%.

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.

Genetic Factors Influencing High Oleic Acid Content in Spanish Market‐Type Peanut Cultivars

Crop Science ◽  
2001 ◽  
Vol 41 (1) ◽  
pp. 51-56 ◽  
Author(s):  
Yolanda López ◽  
Olin D. Smith ◽  
Scott A. Senseman ◽  
William L. Rooney
Keyword(s):  
Oleic Acid ◽  
Acid Content ◽  
Genetic Factors ◽  
Oleic Acid Content ◽  
High Oleic Acid ◽  
High Oleic ◽  
Factors Influencing ◽  
High Oleic Acid Content ◽  
Peanut Cultivars

Oil Blends as Biolubricant: Screening of Effect Factors Influence to Basestock

2013 ◽  
Vol 594-595 ◽  
pp. 356-361
Author(s):  
Rozaini Abdullah ◽  
Farizul Hafiz Kasim ◽  
Siti Nur Amalieya Syaza Mohd Zuki ◽  
Noor Hajarul Ashikin Shamsuddin
Keyword(s):  
Oleic Acid ◽  
Waste Cooking Oil ◽  
Molar Ratio ◽  
Oleic Acid Content ◽  
High Oleic ◽  
Mineral Oils ◽  
Oil Blends ◽  
Blending Process ◽  
Main Factors ◽  
Fatty Acid Compositions

The price fluctuation and negative environmental effect of mineral oil-based lubricant are the main factors which instigate the research on high-oleic vegetable oil as its possible replacement. In this study, the factors involved in blending process of waste cooking oil (WCO) and Jatropha curcas oil (JCO) as biolubricant basestock were investigated using 2-level factorial design. The molar ratio of WCO to the JCO (WCO:JCO), stirring speed and blending times were the three factors studied. The WCO:JCO, stirring speed and the blending time were found to be significant to the increased of oleic acid content in the basestock. The highest percentage of oleic acid achieved was 53.31 % at molar ratio of WCO:JCO at 20:80, 350 rpm and time at 30 minutes. Thus this study exposed the potential of new blending oil which are comparable with other vegetable and mineral oils as base stock for bio-lubricant in term of fatty acid compositions.

Classification of individual cotton seeds with respect to variety using near-infrared hyperspectral imaging

2016 ◽  
Vol 8 (48) ◽  
pp. 8498-8505 ◽  
Author(s):  
Sófacles Figueredo Carreiro Soares ◽  
Everaldo Paulo Medeiros ◽  
Celio Pasquini ◽  
Camilo de Lelis Morello ◽  
Roberto Kawakami Harrop Galvão ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
New Strategy ◽  
Cotton Seeds ◽  
Non Destructive

This paper proposes the use of Near Infrared Hyperspectral Imaging (NIR-HSI) as a new strategy for fast and non-destructive classification of cotton seeds with respect to variety.

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