scholarly journals Cold storage of ‘Palmer’ mangoes sorted based on dry matter content using portable near infrared (VIS-NIR) spectrometer

2018 ◽  
Vol 42 (6) ◽  
pp. e13644 ◽  
Author(s):  
João Paixão dos Santos Neto ◽  
Gustavo Walace Pacheco Leite ◽  
Gabriele da Silva Oliveira ◽  
Luís Carlos Cunha Júnior ◽  
Priscila Lupino Gratão ◽  
...  
Keyword(s):  
Cold Storage ◽  
Dry Matter ◽  
Near Infrared ◽  
Matter Content ◽  
Dry Matter Content

Application of near Infrared Transmission Spectroscopy for the Determination of Some Quality Parameters of Apples

1994 ◽  
Vol 2 (4) ◽  
pp. 213-221 ◽  
Author(s):  
T. Lovász ◽  
P. Merész ◽  
A. Salgó
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Matter Content ◽  
Dry Matter Content ◽  
Quality Factors ◽  
Infrared Transmission ◽  
Transmission Method ◽  
Titratable Acid ◽  
Transmission Spectroscopy ◽  
Relative Standard

The acceptability of near infrared (NIR) transmission spectroscopy for the prediction of six quality factors of apples (firmness, refractive index, pH, titratable acid, dry matter and alcohol insoluble solids content) was investigated. The effects of storage conditions, cultivars and season on the accuracy of the NIR transmission method were also studied during the experiment. The accuracy of the calibration of all investigated parameters decreased during storage. The alteration of the characteristics of the spectra is possibly due to changes in the chemical composition and structure of apples between September and April. The calibration method was improved by developing a separate calibration for each cultivar per year. The calibrations of the different parameters are season-dependent except for the dry matter content. Using outlier diagnostics, the prediction accuracy can be generally improved by about 10%. The coefficient of variation for each parameter is compatible with the relative standard deviation for the reference methods except for the titratable acid content, showing the applicability of NIR transmission techniques. A relationship seems to exist between the maturity and the NIR transmission spectra of the apple.

scholarly journals Near-infrared Spectroscopy for Rapid Estimation of Dry Matter Content in Whole Unpeeled Potato Tubers

2012 ◽  
Vol 1 (4) ◽  
pp. 55 ◽  
Author(s):  
Trygve Helgerud ◽  
Vegard H. Segtnan ◽  
Jens P. Wold ◽  
Simon Ballance ◽  
Svein H. Knutsen ◽  
...  
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Reference Method ◽  
Quality Parameters ◽  
Matter Content ◽  
Dry Matter Content ◽  
Potato Tubers ◽  
External Reference ◽  
Explained Variance ◽  
Processed Potatoes

<p>The dry matter is one of the main quality parameters of raw and processed potatoes. In the present study, the potential of utilizing high throughput commercially available NIR interactance systems for dry matter determination in whole unpeeled potato tubers is investigated. The performance of a 2D NIR interactance instrument was compared with that of a 1D NIR interactance instrument and a traditional underwater weight apparatus. A total of 114 tubers were assessed individually with both of the NIR instruments (760-1040 nm), the underwater weight and an external reference method (freeze drying). The 1D interactance instrument obtained better prediction results than what the 2D instrument could achieve (R<sup>2</sup>=0.95, RMSECV=0.91, and R<sup>2</sup>=0.83, RMSECV=1.65, respectively). The underwater weight obtained the highest explained variance (R<sup>2</sup>=0.97), but the estimation was biased by approximately 1.5% (by weight). The poorer prediction performance of the 2D NIR interactance system can be partly explained by the lower penetration depths of the light compared to the 1D NIR interactance systems.</p>

scholarly journals Rapid analyses of dry matter content and carotenoids in fresh cassava roots using a portable visible and near infrared spectrometer (Vis/NIRS)

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0188918 ◽  
Author(s):  
Ugochukwu N. Ikeogu ◽  
Fabrice Davrieux ◽  
Dominique Dufour ◽  
Hernan Ceballos ◽  
Chiedozie N. Egesi ◽  
...  
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Matter Content ◽  
Dry Matter Content ◽  
Infrared Spectrometer ◽  
Near Infrared Spectrometer

Near-infrared spectroscopy on combine harvesters to measure maize grain dry matter content and quality parameters

2006 ◽  
Vol 125 (6) ◽  
pp. 591-595 ◽  
Author(s):  
J. M. Montes ◽  
H. F. Utz ◽  
W. Schipprack ◽  
B. Kusterer ◽  
J. Muminovic ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Dry Matter ◽  
Near Infrared ◽  
Quality Parameters ◽  
Matter Content ◽  
Dry Matter Content ◽  
Maize Grain ◽  
Combine Harvesters

Use of Visible-Near Infrared Diffuse Reflectance Spectroscopy to Discriminate between Kiwifruit with Properties Altered by Preharvest Treatments

1997 ◽  
Vol 5 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Alistair D. Mowat ◽  
Philip R. Poole
Keyword(s):  
Dry Matter ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Matter Content ◽  
Soluble Solids ◽  
Skin Colour ◽  
Canonical Variate ◽  
Dry Matter Content ◽  
Treatment Groups

Visible-near infrared (NIR) spectra of kiwifruit berries were processed by discriminant analysis techniques to differentiate berries treated during on-vine development. Treatments applied were leaf removal or shading berries with aluminium foil through crop development, or dipping the berries in ethephon two weeks prior to harvest. In order to accentuate the treatment effects, the canes used for individual treatments were cinctured to cut the phloem layer near the central cordon. Diffuse reflectance visible-NIR spectra were measured for all berries at harvest and after storing at 0°C for 16 weeks, and in sound ripened berries, for which the mass, skin colour, soluble solids and dry matter content were also determined. Principal components (PCs) were calculated for the 550–990 nm region of the visible-NIR absorption spectra for 500 berries randomly selected from all treatments. Canonical variate analyses of the PC were used to distinguish the berries from the original treatment groups. At harvest and after storage, discriminant algorithms, based on training spectra, were applied to validation spectra sets and correctly classified 99% and 87% of the berries, respectively, by their on-vine treatment. In the sound ripened berries, discrimination based on the visible-NIR data was superior to that achieved using combinations of mass, skin colour, dry matter and soluble solids.

scholarly journals Optimization of Instrument Design for In-Line Monitoring of Dry Matter Content in Single Potatoes by NIR Interaction Spectroscopy

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 828
Author(s):  
Jens Petter Wold ◽  
Marion O’Farrell ◽  
Petter Vejle Andersen ◽  
Jon Tschudi
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Optical Measurement ◽  
Matter Content ◽  
Instrument Design ◽  
Calibration Model ◽  
Dry Matter Content ◽  
Least Squares Regression ◽  
Process Plant ◽  
Important Quality

Dry matter (DM) content is one of the most important quality features of potatoes. It defines the physical properties of the potatoes and determines what kind of product the potatoes can be used for. This paper presents the results obtained by a novel prototype NIR (near-infrared) instrument designed to measure DM content in single potatoes in process. The instrument is based on interaction measurements to measure deeper into the potatoes. It measures rapidly, up to 50 measurements per second, allowing several moving potatoes to be measured per second. The instrument also enables several interactance distances to be recorded for each measurement. The instrument was calibrated based on three different potato varieties and the calibration measurements were done in a process plant, making the calibration model suitable for in-line use. A good calibration for DM was obtained by partial least squares regression (RMSECV = 0.78% DM, R2 = 0.91). The instrument was tested in-line in the process plant and several batches of potatoes were monitored for the estimation of the DM distribution per batch. Accuracy of DM determination as function of measurement position on the potato was studied, and results indicate that NIR scans along the center part of the potatoes give slightly better results compared to scans taken on either side of the center. Small differences in optical measurement geometry influence the accuracy of the calibration models, underlining the importance of optimizing instrument design for successful measurements.

Methods to determine the dry matter content of roundwood deliveries

TAPPI Journal ◽  
2011 ◽  
Vol 10 (6) ◽  
pp. 33-37 ◽  
Author(s):  
MIKAEL HULTNÄS
Keyword(s):  
Gamma Rays ◽  
Dry Matter ◽  
Near Infrared ◽  
Current Method ◽  
Dry Weight ◽  
Matter Content ◽  
Dry Matter Content ◽  
Acceptable Error ◽  
Photon Absorptiometry ◽  
Acceptable Method

In pulp production, the dry matter content of pulpwood affects debarking and pulping. For pulpwood to be traded due to its dry weight, a prerequisite is that the measurement of dry be done quickly and accurately. No current method fulfils these requirements, although there are different methods that have the potential to determine the dry matter content in wood. These techniques include radar, gamma rays, dichromatic photon absorptiometry, computed tomography, near infrared (NIR), nuclear magnetic resonance (NMR), and radio frequency (RF). A literature review showed that several of the techniques can determine the dry matter content with an acceptable error. Several of the methods cannot handle frozen or semifrozen samples, which disqualifies them as an acceptable method. NIR, dichromatic photon absorptiometry, and RF techniques might have the potential to meet the requirements of fast measurement with high accuracy

Classification of intact açaí (Euterpe oleracea Mart.) and juçara (Euterpe edulis Mart) fruits based on dry matter content by means of near infrared spectroscopy

Food Control ◽  
2015 ◽  
Vol 50 ◽  
pp. 630-636 ◽  
Author(s):  
Luis Carlos Cunha Junior ◽  
Viviani Nardini ◽  
Bed P. Khatiwada ◽  
Gustavo Henrique de Almeida Teixeira ◽  
Kerry B. Walsh
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Dry Matter ◽  
Near Infrared ◽  
Matter Content ◽  
Dry Matter Content ◽  
Euterpe Oleracea ◽  
Euterpe Edulis ◽  
Euterpe Oleracea Mart

scholarly journals Portable Spectroscopy Calibration with Inexpensive and Simple Sampling Reference Alternatives for Dry Matter and Total Carotenoid Contents in Cassava Roots

2021 ◽  
Vol 11 (4) ◽  
pp. 1714
Author(s):  
Wilfred Abincha ◽  
Ugochukwu N. Ikeogu ◽  
Robert Kawuki ◽  
Chiedozie Egesi ◽  
Ismail Rabbi ◽  
...  
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Sampling Procedure ◽  
Matter Content ◽  
Partial Least Square ◽  
Least Square ◽  
Carotenoid Content ◽  
Dry Matter Content ◽  
Total Carotenoid ◽  
Total Carotenoid Content

The use of standard laboratory methods for trait evaluation is expensive and challenging, especially for low-resource breeding programs. For carotenoid assessment, rather than the standard HPLC method, these programs mostly rely on proxy approaches for quantitative total carotenoid content (TCC) assessment. To ensure data transferability and consistency, calibration models were developed using TCC iCheck and Chroma Meter proxy methods for the adoption of the alternative near-infrared phenotyping method in cassava. Calibration was developed for dry matter content (DMC) using a simple and inexpensive sampling procedure associated with the proxy TCC protocols. The partial least square (PLS) and random forest (RF) models were compared for the two traits, and the correlation (r) between the actual and predicted values in the training and validation (in bracket) sets of r = 0.85 (0.76) and r = 0.98 (0.82) with PLS and RF, respectively, for iCheck, and r = 0.99 (0.96) and r = 0.99 (0.96) with PLS and RF, respectively, for Chroma Meter, was obtained. The calibration result of r = 0.93 (0.83) and r = 0.99 (0.81) using PLS and RF, respectively, was obtained for DMC. This effort is valuable in carotenoids improvement and supports the ongoing effort in adopting portable spectrometers for rapid and cheap phenotyping in cassava.

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