High-throughput platform for automated sorting and selection of single seeds based on time-domain nuclear magnetic resonance (TD-NMR) measurement of oil content

Melchinger, Albrecht E.; Munder, Simon; Mauch, Franz J.; Mirdita, Vilson; Böhm, J.; Müller, Joachim

doi:10.1016/j.biosystemseng.2017.10.011

Cited by 22 publications

(23 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…NMR and its associated techniques have greatly contributed to the study of water‐related characteristics, carbohydrates and protein in foods, medicines, and biological resources and their connections to physical attributes and constancy (Melchinger et al, ; Reuhs & Simsek, ). MRI has been utilized to observe the spatial dispersion of water, oil, and fat within foods.…”

Section: Introductionmentioning

confidence: 99%

Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

Kamal

Cheng

Khan

et al. 2019

J Food Process Preserv

View full text Add to dashboard Cite

This paper provides an overview of nondestructive imaging techniques for evaluating internal and external quality characteristics of fruits and vegetables and the future prospects of those technologies within the food industry. Low‐field nuclear magnetic resonance (LF‐NMR) and magnetic resonance imaging (MRI) are viable technologies in assessing water status, which can significantly impact the quality of fruits and vegetables' texture, tenderness, and microstructure. This review examined some of the most widely studied agricultural fruits and vegetables, described NMR/MRI techniques, and explained the benefits of their implementation in the assessment of internal quality attributes such as internal defects, water content, nutrition content, maturity, fruit firmness, and seed detection, as well as physicochemical and microbiological quality in both commercial and industrial applications. In spite of considerable developments in the quality measurement of fruits and vegetables and their products, the implementation of these techniques at an industrial level has been unsatisfactory. Practical applications This paper aimed to present a magnificent knowledge about fruit/vegetable processing and preservation techniques pertaining to quality evaluation. If the appropriate skills and the introduced tools are combined and utilized in an innovative and suitable way, a high quality of fruit/vegetable products with a high nutritional value can be achieved. This will be beneficial for both producers and customers.

show abstract

Section: Introductionmentioning

confidence: 99%

Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

Kamal

Cheng

Khan

et al. 2019

J Food Process Preserv

View full text Add to dashboard Cite

show abstract

“…The use of high-field NMR to screen seeds and grains based on their quality characteristics, that is, protein content and quality, is not always feasible due to complicated procedures required for sample preparation as well as the cost of the required instruments (Gouilleux, Marchand, Charrier, Remaud, & Giraudeau, 2018;Marcone et al, 2013). This technique has been mostly used for quality characterization and screening of oilseeds (Horn et al, 2011;Melchinger et al, 2017Melchinger et al, , 2018Pedersen, Munck, & Engelsen, 2000), although a few studies have been conducted to examine the possibility of using LF-NMR for cereal screening (Brusewitz & Stone, 1987;Rolletschek et al, 2015). This technique has been mostly used for quality characterization and screening of oilseeds (Horn et al, 2011;Melchinger et al, 2017Melchinger et al, , 2018Pedersen, Munck, & Engelsen, 2000), although a few studies have been conducted to examine the possibility of using LF-NMR for cereal screening (Brusewitz & Stone, 1987;Rolletschek et al, 2015).…”

Section: Resonance Spectroscopymentioning

confidence: 99%

“…Moreover, Dai et al (2017) patented a fully automated LF-NMR-based platform for highthroughput sorting of grains which operates based on oil and moisture measurements. An outstanding research study on the development of a high-throughput TD-NMR-based platform for automated screening of single seeds based on their oil content was recently carried out by Melchinger et al (2017). The authors could successfully determine oil mass and content of maize seeds at a speed of 600 seeds per hour with extraordinary accuracy and repeatability of the measurements.…”

Section: Resonance Spectroscopymentioning

confidence: 99%

“…An outstanding research study on the development of a high-throughput TD-NMR-based platform for automated screening of single seeds based on their oil content was recently carried out by Melchinger et al (2017). Furthermore, remote operation of the grain sorting system developed by Melchinger et al (2017) offers exceptional ease of use with the ability of communicating with operator via email as well as a 360°overview of the platform in case of system malfunction. The newly developed platform has several advantages over the other platforms developed for grain sorting and classification in terms of capacity and speed.…”

Section: Resonance Spectroscopymentioning

confidence: 99%

See 1 more Smart Citation

Advancing the science of wheat quality evaluation using nuclear magnetic resonance (NMR) and ultrasound‐based techniques

et al. 2018

View full text Add to dashboard Cite

Background and objectives The need for cost‐effective, fast, and reliable techniques to evaluate wheat protein content and quality has led to the modification of available methods as well as the development of new methods. This review provides information on two emerging methods, that is, low‐field nuclear magnetic resonance (LF‐NMR) and low‐intensity ultrasound, with potential for evaluating wheat protein content and quality. Findings New techniques with additional capabilities have been developed over the years to provide wheat researchers with information that could not be acquired by the use of conventional methods. LF‐NMR and low‐intensity ultrasound are two emerging techniques in the world of cereal science whose speed, ease of operation, and reliability could promote their applications to wheat screening research studies. This review of these two potential wheat protein quality evaluation methods highlights the necessity of developing such cutting‐edge tools which are advantageous over the conventional tools. Conclusions Easy‐to‐use LF‐NMR and low‐intensity ultrasound seem to have the potential to provide nondestructive, fast evaluation methods that are superior to the currently used techniques in terms of accuracy and cost, respectively. However, further investigations to achieve complete development of such methods are still required. Significance and novelty The potential of LF‐NMR and low‐intensity ultrasound as fast, accurate, and cost‐effective wheat screening tools was confirmed through critical discussions and comparisons of a variety of most widely used wheat quality evaluation techniques.

show abstract

“…However, the misclassification rates associated with this marker system can be quite substantial (≥30%) depending on the germplasm (Chaikam, Martinez, Melchinger, Schipprack, & Boddupalli, ; Prigge et al, ) or classification may even be impossible due to inhibitory genes such as C1‐I present in some source germplasm (Chaikam et al, ; Paz‐Ares, Ghosal, & Saedler, ). Development of inducers equipped with the red root marker (Chaikam et al, ) or high oil content of the seed (Melchinger, Schipprack, Würschum, Chen, & Technow, ) and sorting of seeds from induction crosses based on their oil content (Melchinger, Böhm et al, ; Melchinger, Munder et al, ) help to reduce the misclassification rates (Melchinger et al, ), but undesirable C seeds (=false positives) can still occur at considerable rates, depending on the source germplasm and inducer. As a result, varying proportions of C seeds are planted in the field after chromosome doubling and must be rogued later in the nursery.…”

Section: Introductionmentioning

confidence: 99%

Early diagnosis of ploidy status in doubled haploid production of maize by stomata length and flow cytometry measurements

et al. 2019

Self Cite

View full text Add to dashboard Cite

Reliable discrimination of haploid (H), doubled haploid (DH) and crossing (C) plants in early growth stages could streamline DH production in maize. By detecting in early growth stages undesirable sterile H plants and undesirable heterozygous C plants, a large proportion of resources required for DH production could be saved. The goal of this study was to evaluate the effectiveness of early classification of plants in growth stages V3‐V4 as H, DH or C in the context of DH production using flow cytometry and stomata length. As the reference classification, we used a field score based on plant phenotype commonly applied in DH production and research. Our results show that identification of misclassified C seeds is possible because the overlap in distributions of stomata length between H&DH and C plants is small and the association between flow cytometry and the reference field score is high. In contrast, overlap between H and DH distributions is substantial. Consequently, the main application we see for these classification methods in early growth stages is the identification of C seedlings.

show abstract

High-throughput platform for automated sorting and selection of single seeds based on time-domain nuclear magnetic resonance (TD-NMR) measurement of oil content

Cited by 22 publications

References 18 publications

Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

Advancing the science of wheat quality evaluation using nuclear magnetic resonance (NMR) and ultrasound‐based techniques

Early diagnosis of ploidy status in doubled haploid production of maize by stomata length and flow cytometry measurements

Contact Info

Product

Resources

About