Use of Nir Spectroscopy in an Apple Breeding Program for Quality and Nutritional Parameters

Pissard, Audrey; Bastiaanse, Héloïse; Baeten, V.; Sinnaeve, Georges; Romnee, Jean-Michel; Dupont, Pascal; Mouteau, A.; Lateur, M.

doi:10.17660/actahortic.2013.976.56

Cited by 4 publications

(3 citation statements)

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“…In contrast, NIR spectroscopy appears as a promising alternative for a rapid and non-destructive assessment of apple nutrient content. The technique has been found to be a reliable approach to quantifying the levels of nutritional compounds in apples [152,153]. For example, Pisaard et al [153] investigated the use of NIR to determine the vitamin C and polyphenol content of apples in a breeding program focused on developing apples with high antioxidant content, scab tolerance, and high fruit quality.…”

Section: Nutrient Contentmentioning

confidence: 99%

“…The technique has been found to be a reliable approach to quantifying the levels of nutritional compounds in apples [152,153]. For example, Pisaard et al [153] investigated the use of NIR to determine the vitamin C and polyphenol content of apples in a breeding program focused on developing apples with high antioxidant content, scab tolerance, and high fruit quality. The study found that NIR could accurately determine sugar, acidity, and total polyphenol content, but the performance was less precise for maturity, firmness, and vitamin C content.…”

Section: Nutrient Contentmentioning

confidence: 99%

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Analyzing the Quality Parameters of Apples by Spectroscopy from Vis/NIR to NIR Region: A Comprehensive Review

Grabska

Beć

Ueno

et al. 2023

Foods

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Spectroscopic methods deliver a valuable non-destructive analytical tool that provides simultaneous qualitative and quantitative characterization of various samples. Apples belong to the world’s most consumed crops and with the current challenges of climate change and human impacts on the environment, maintaining high-quality apple production has become critical. This review comprehensively analyzes the application of spectroscopy in near-infrared (NIR) and visible (Vis) regions, which not only show particular potential in evaluating the quality parameters of apples but also in optimizing their production and supply routines. This includes the assessment of the external and internal characteristics such as color, size, shape, surface defects, soluble solids content (SSC), total titratable acidity (TA), firmness, starch pattern index (SPI), total dry matter concentration (DM), and nutritional value. The review also summarizes various techniques and approaches used in Vis/NIR studies of apples, such as authenticity, origin, identification, adulteration, and quality control. Optical sensors and associated methods offer a wide suite of solutions readily addressing the main needs of the industry in practical routines as well, e.g., efficient sorting and grading of apples based on sweetness and other quality parameters, facilitating quality control throughout the production and supply chain. This review also evaluates ongoing development trends in the application of handheld and portable instruments operating in the Vis/NIR and NIR spectral regions for apple quality control. The use of these technologies can enhance apple crop quality, maintain competitiveness, and meet the demands of consumers, making them a crucial topic in the apple industry. The focal point of this review is placed on the literature published in the last five years, with the exceptions of seminal works that have played a critical role in shaping the field or representative studies that highlight the progress made in specific areas.

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Section: Nutrient Contentmentioning

confidence: 99%

Section: Nutrient Contentmentioning

confidence: 99%

Analyzing the Quality Parameters of Apples by Spectroscopy from Vis/NIR to NIR Region: A Comprehensive Review

Grabska

Beć

Ueno

et al. 2023

Foods

View full text Add to dashboard Cite

show abstract

“…Visible and near infrared spectroscopy (Vis-NIRS) is a well-adapted technology to address this demand, as it is quick, non-destructive, not pollutant and cost effective when compared to standard chemical analysis [1]. It has currently been widely used to assess a wide range of components on fresh fruits and vegetables [2,3,4] and it is especially effective for sugar content estimation [5,6,7].…”

Section: Introductionmentioning

confidence: 99%

Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices

Bendoula

Ducanchez

Herrero-Langreo

et al. 2019

Sensors

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Sugar beet is the second biggest world contributor to sugar production and the only one grown in Europe. One of the main limitations for its competitiveness is the lack of effective tools for assessing sugar content in unprocessed sugar beet roots, especially in breeding programs. In this context, a dedicated near infrared (NIR) fiber-optic probe based approach is proposed. NIR technology is widely used for the estimation of sugar content in vegetable products, while optic fibers allow a wide choice of technical properties and configurations. The objective of this research was to study the best architecture through different technical choices for the estimation of sugar content in intact sugar beet roots. NIR spectral measurements were taken on unprocessed sugar beet samples using two types of geometries, single and multiple fiber-probes. Sugar content estimates were more accurate when using multiple fiber-probes (up to R2 = 0.93) due to a lesser disruption of light specular reflection. In turn, on this configuration, the best estimations were observed for the smallest distances between emitting and collecting fibers, reducing the proportion of multiply scattered light in the spectra. Error of prediction (RPD) values of 3.95, 3.27 and 3.09 were obtained for distances between emitting and collecting fibers of 0.6, 1.2 and 1.8 µm respectively. These high RPD values highlight the good predictions capacities of the multi-fiber probes. Finally, this study contributes to a better understanding of the effects of the technical properties of optical fiber-probes on the quality of spectral models. In addition, and beyond this specificity related to sugar beet, these findings could be extended to other turbid media for quantitative optical spectroscopy and eventually to validate considered fiber-optic probe design obtained in this experimental study.

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Application of NIR in Agriculture

Baeten

Dardenne

2020

Near-Infrared Spectroscopy

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Use of Nir Spectroscopy in an Apple Breeding Program for Quality and Nutritional Parameters

Cited by 4 publications

References 0 publications

Analyzing the Quality Parameters of Apples by Spectroscopy from Vis/NIR to NIR Region: A Comprehensive Review

Analyzing the Quality Parameters of Apples by Spectroscopy from Vis/NIR to NIR Region: A Comprehensive Review

Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices

Application of NIR in Agriculture

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