Performance evaluation of a portable near-infrared spectrometer for assessment of main quality parameters in yellow-fleshed kiwifruit

2022 ◽  
pp. 393-398
Author(s):  
K.J. Song ◽  
E.U. Oh ◽  
D.C. Lim
2016 ◽  
Vol 197 ◽  
pp. 1207-1214 ◽  
Author(s):  
Emanuel José Nascimento Marques ◽  
Sérgio Tonetto de Freitas ◽  
Maria Fernanda Pimentel ◽  
Celio Pasquini

2009 ◽  
Vol 60 (sup7) ◽  
pp. 265-277 ◽  
Author(s):  
Juan Fernández-Novales ◽  
María-Isabel López ◽  
María-Teresa Sánchez ◽  
José-Antonio García-Mesa ◽  
Virginia González-Caballero

2021 ◽  
Vol 9 (3) ◽  
pp. 103-110
Author(s):  
Ayu Putri Ana ◽  
Y. Aris Purwanto ◽  
Slamet Widodo

“Crystal” guava (Psidium guajava L.) is a climacteric fruit that is generally harvested by farmers based on cultivation experience. In this study, portable 740-1070 nm of near-infrared spectrometer was employed to rapidly predict harvest indices of “crystal” guava, by means of non-contact and non-destructive approach. Samples of guava fruit were collected at days after anthesis (DAS) of 91, 94, 97, and 100. The total number of each sample were 30 fruits. The firmness, soluble solid content, acidity and sugar acid ration were evaluated as quality parameters. Partial least square (PLS) method was utilized for data processing. It was found that Standard Normal Variate (SNV) resulted the best pre-processing for all quality parameters. Performances of best models were demonstrated by coefficient of corraltion (R), standard error of calibration (SEC) and standard error of prediction (SEP), which were respectively 0.88, 6.21, 5.92 for firmness prediction, 0.74, 0.84, 0.79 for soluble solid content prediction, 0.59, 0.19, 0.26 for acidity prediction, and 0.71, 1.21, 1.58 for sugar acid ratio prediction model.


Micromachines ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 149 ◽  
Author(s):  
Zifeng Lu ◽  
Jinghang Zhang ◽  
Hua Liu ◽  
Jialin Xu ◽  
Jinhuan Li

In the Hadamard transform (HT) near-infrared (NIR) spectrometer, there are defects that can create a nonuniform distribution of spectral energy, significantly influencing the absorbance of the whole spectrum, generating stray light, and making the signal-to-noise ratio (SNR) of the spectrum inconsistent. To address this issue and improve the performance of the digital micromirror device (DMD) Hadamard transform near-infrared spectrometer, a split waveband scan mode is proposed to mitigate the impact of the stray light, and a new Hadamard mask of variable-width stripes is put forward to improve the SNR of the spectrometer. The results of the simulations and experiments indicate that by the new scan mode and Hadamard mask, the influence of stray light is restrained and reduced. In addition, the SNR of the spectrometer also is increased.


NIR news ◽  
2019 ◽  
Vol 30 (5-6) ◽  
pp. 35-38
Author(s):  
Verena Wiedemair ◽  
Christian Wolfgang Huck

The use of ever smaller near-infrared instruments is becoming more and more prevalent, since they are cheaper, more versatile and often advertised as high-performance spectrometer. The last claim is rarely verified by independent researchers, which is why the presented work evaluates the performance of three hand-held spectrometers in comparison to a benchtop instrument. Seventy-seven samples comprising buckwheat, millet and oat were investigated for their total antioxidant capacity using Folin–Ciocalteu and near-infrared spectroscopy. Partial least squares regression models were established using cross- and test set validation. Results showed that all instruments were able to predict total antioxidant capacity to some extent. The coefficients of determinations ranged from 0.823 to 0.951 for cross-validated and from 0.849 to 0.952 for test set validated models. Errors for cross-validated models ranged from 1.11 to 2.08 mgGAE/g and for test set validated models from 1.02 to 1.86 mgGAE/g.


2021 ◽  
Author(s):  
Russell Farrugia ◽  
Barnaby Portelli ◽  
Ivan Grech ◽  
Joseph Micallef ◽  
Owen Casha ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nima Khavanin ◽  
Halley Darrach ◽  
Franca Kraenzlin ◽  
Pooja S. Yesantharao ◽  
Justin M. Sacks

Sign in / Sign up

Export Citation Format

Share Document