scholarly journals Detection of Ridge Gourd (Luffa acutangula) Fruit Quality During Storage Using Near-Infrared Spectrometer

2018 ◽  
Author(s):  
Yuda Hadiwijaya

Fruit quality detection using near-infraread spectrometer is fast and it does not damage the fruit, hence the fruit is still marketable. The aim of this research focused on analyzing quality component of ridge gourd during storage using near-infrared spectrometer. The research was conducted on March to July 2017 at the Laboratory Plant Production Technology of Horticulture Division of Agriculture Faculty of Padjadjaran University, Jatinangor. Ridge gourds were harvested at the same maturity stage from the orchad, then stored at 5 and 10 days. The method used in this research was multivariate data analysis using Unscrambler software (version 7.51, CAMO, Oslo, Norway). The data acquisition was taken using portable near-infrared (NIR) spectrometer (NirVana AG410, Integrated Spectronics Pty, Ltd, Australia) with wavelength range of 600-1100 nm and stored as absorbance spectra and pretreated by secondderivatives spectra using ISIS software (Integrated Spectronics Pty, Ltd, Australia). The results showed that non-destrucive method using near-infrared spectrometer was able to measure ridge gourd fruit quality component such as, total dissolved solid, moisture content, firmness and color values.

2002 ◽  
Vol 10 (4) ◽  
pp. 247-255 ◽  
Author(s):  
Masanori Kumagai ◽  
Hideto Suyama ◽  
Tomoaki Sato ◽  
Toshio Amano ◽  
Nobuaki Ogawa

A portable near infrared (NIR) spectrometer was used to accomplish rapid identification of plastics. Thirteen kinds of plastics were collected and their NIR spectra were measured. Standardised normalisation treatment of the original spectra reveals the differences of the spectra more clearly. Absorbance spectra can be used to distinguish easily between polyethylene (PE) and polypropylene (PP) with the absorption band of the methylene group at 1410 nm. The result can be used to discriminate PE, PP and the copolymer. This suggestion is supported by a principal component analysis of the second-order derivatives spectrum.


2018 ◽  
Author(s):  
Yuda Hadiwijaya

Fruit quality detection using near-infrared spectroscopy is a fast, accurate, and non-destructive method. Hence the fruits can still be marketed after the measurement. The purpose of this study was to analyze the quality of sapodilla fruit using near-infrared spectroscopy. The study was conducted in March to August 2017 at the Plant Production Technology Laboratory of Horticulture Division, Agriculture Faculty of Padjadjaran University, Jatinangor. The method used in this study was multivariate data analysis of chemometrics. The spectra data were obtained using portable nearinfrared spectrometer (NirVana AG410, Integrated Spectronics Pty, Ltd, Australia) with wavelength range of 312-1050 nm. Calibration and prediction models were acquired using partial least square (PLS). The results revealed that non-destructive method using near-infrared spectrometer was able to measure sapodilla fruit quality such as, firmness, total dissolved solids, and color values including L*, a*, b*, ho, and C*.


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

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