A feasibility study of oil content and fatty acid composition of seed powder and seed oil of Pongamia pinnata by near infrared spectroscopy

Khamchum, Chutarat; Punsuvon, Vittaya; Kasemsumran, Sumaporn; Suttiwijitpukdee, Nattaporn

doi:10.2306/scienceasia1513-1874.2013.39.384

Cited by 9 publications

(8 citation statements)

References 13 publications

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“…Concerning oil content, the model described in this paper for Arabidopsis display better performance than the ones described for rapeseed (Tkachuk, 1981; Hom et al, 2007; Rossato et al, 2013). Interestingly, the models were developed on entire seeds without destruction neither any special sample preparation, which is a great advantage compared to calibration developed on powder or oil for example (Khamchum et al, 2013) as it’s faster and allow the seeds to be used for other applications.…”

Section: Discussionmentioning

confidence: 99%

Arabidopsis Seed Content QTL Mapping Using High-Throughput Phenotyping: The Assets of Near Infrared Spectroscopy

Jasinski¹,

Lécureuil²,

Durandet³

et al. 2016

Front. Plant Sci.

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Seed storage compounds are of crucial importance for human diet, feed and industrial uses. In oleo-proteaginous species like rapeseed, seed oil and protein are the qualitative determinants that conferred economic value to the harvested seed. To date, although the biosynthesis pathways of oil and storage protein are rather well-known, the factors that determine how these types of reserves are partitioned in seeds have to be identified. With the aim of implementing a quantitative genetics approach, requiring phenotyping of 100s of plants, our first objective was to establish near-infrared reflectance spectroscopic (NIRS) predictive equations in order to estimate oil, protein, carbon, and nitrogen content in Arabidopsis seed with high-throughput level. Our results demonstrated that NIRS is a powerful non-destructive, high-throughput method to assess the content of these four major components studied in Arabidopsis seed. With this tool in hand, we analyzed Arabidopsis natural variation for these four components and illustrated that they all displayed a wide range of variation. Finally, NIRS was used in order to map QTL for these four traits using seeds from the Arabidopsis thaliana Ct-1 × Col-0 recombinant inbred line population. Some QTL co-localized with QTL previously identified, but others mapped to chromosomal regions never identified so far for such traits. This paper illustrates the usefulness of NIRS predictive equations to perform accurate high-throughput phenotyping of Arabidopsis seed content, opening new perspectives in gene identification following QTL mapping and genome wide association studies.

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Section: Discussionmentioning

confidence: 99%

Arabidopsis Seed Content QTL Mapping Using High-Throughput Phenotyping: The Assets of Near Infrared Spectroscopy

Jasinski¹,

Lécureuil²,

Durandet³

et al. 2016

Front. Plant Sci.

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“…Because MPS-HD contains various free fatty acids with low volatility [ 29 , 30 ], fatty acid methyl esters (FAMEs) were prepared following the method described previously by Rafael and Mancha [ 31 ]. In brief, 1 μg of MPS-HD was methylated overnight at 25°C with diazomethane in 200 μL of diethyl ether.…”

Section: Methodsmentioning

confidence: 99%

Larvicidal activity and possible mode of action of four flavonoids and two fatty acids identified in Millettia pinnata seed toward three mosquito species

et al. 2015

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BackgroundAedes aegypti and Aedes albopictus and Culex pipiens pallens mosquitoes transmit dengue fever and West Nile virus diseases, respectively. This study was conducted to determine the toxicity and mechanism of action of four flavonoids and two fatty acids from Millettia pinnata (Fabaceae) seed as well as six pure fatty acids and four fatty acid esters toward third instar larvae from insecticide-susceptible C. pipiens pallens and A. aegypti as well as wild A. albopictus. Efficacy of 12 experimental liquid formulations containing M. pinnata seed methanol extract and hydrodistillate (0.5–10.0% liquids) was also assessed.MethodsThe contact toxicities of all compounds and 12 formulations were compared with those of two larvicides, temephos and fenthion and the commercial temephos 200 g/L emulsifiable concentrate (EC). The possible mode of larvicidal action of the constituents was elucidated using biochemical methods. Larval mortality and cAMP level were analyzed by the Bonferroni multiple-comparison method.ResultsPotent toxicity was produced by karanjin, oleic acid, karanjachromene, linoleic acid, linolenic acid, pongamol, pongarotene, and elaidic acid toward C. pipiens pallens larvae (24 h LC50, 14.61–28.22 mg/L) and A. aegypti larvae (16.13–37.61 mg/L). Against wild A. albopictus larvae, oleic acid (LC50, 18.79 mg/L) and karanjin (35.26 mg/L) exhibited potent toxicity. All constituents were less toxic than either temephos or fenthion. Structure–activity relationship indicates that the degree of saturation, the side chain length, and the geometric isomerism of fatty acids appear to play a role in determining the fatty acid toxicity. Acetylcholinesterase (AChE) is the main site of action of the flavonoids, oleic acid, and palmitic acid. The mechanism of larvicidal action of elaidic acid, arachidic acid, and behenic acid might be due to interference with the octopaminergic system. Linoleic acid and linolenic acid might act on both AChE and octopaminergic receptor. M. pinnata seed extract or hydrodistillate applied as 10% liquid provided 100% mortality toward the three mosquito species larvae and the efficacy of the liquids was comparable to that of temephos 200 g/L EC.ConclusionFurther studies will warrant possible applications of M. pinnata seed-derived products as potential larvicides for the control of mosquito populations.Electronic supplementary materialThe online version of this article (doi:10.1186/s13071-015-0848-8) contains supplementary material, which is available to authorized users.

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“…The technique is also known as chemical imaging, as it provides information at the molecular level. Absorbance at the NIR frequency bandwidth reflects overtones of C-H, C-O, O-H and N-H stretching vibrations [106][107][108][109][110][111][112][113][114][115][116][117].…”

Section: Nirs-based Imaging Applications For the Detection Of Chemica...mentioning

confidence: 99%

“…These unique spectral bands have been utilized in NIRS and proven to be effective as a quantitative technique, as demonstrated by the numerous reports that indicate successful calibration methods for the quantitative analysis of fatty acids, oils, carbohydrates, proteins and many chemical components (Table 1) [106][107][108][109][110][111][112][113][114][115][116][117]122,[127][128][129][130]. There are also measurements of chlorophyll, erucic acid (carcinogen) and glucosinolate (toxin) in canola [109].…”

Section: Nirs-based Imaging Applications For the Detection Of Chemica...mentioning

confidence: 99%

Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview

Reddy

Guthridge

Panozzo

et al. 2022

Sensors

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Near-infrared (800–2500 nm; NIR) spectroscopy coupled to hyperspectral imaging (NIR-HSI) has greatly enhanced its capability and thus widened its application and use across various industries. This non-destructive technique that is sensitive to both physical and chemical attributes of virtually any material can be used for both qualitative and quantitative analyses. This review describes the advancement of NIR to NIR-HSI in agricultural applications with a focus on seed quality features for agronomically important seeds. NIR-HSI seed phenotyping, describing sample sizes used for building high-accuracy calibration and prediction models for full or selected wavelengths of the NIR region, is explored. The molecular interpretation of absorbance bands in the NIR region is difficult; hence, this review offers important NIR absorbance band assignments that have been reported in literature. Opportunities for NIR-HSI seed phenotyping in forage grass seed are described and a step-by-step data-acquisition and analysis pipeline for the determination of seed quality in perennial ryegrass seeds is also presented.

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A feasibility study of oil content and fatty acid composition of seed powder and seed oil of Pongamia pinnata by near infrared spectroscopy

Cited by 9 publications

References 13 publications

Arabidopsis Seed Content QTL Mapping Using High-Throughput Phenotyping: The Assets of Near Infrared Spectroscopy

Arabidopsis Seed Content QTL Mapping Using High-Throughput Phenotyping: The Assets of Near Infrared Spectroscopy

Larvicidal activity and possible mode of action of four flavonoids and two fatty acids identified in Millettia pinnata seed toward three mosquito species

Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview

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