Non-Destructive Estimation of Pernambuco (Caesalpinia Echinata) Clear Wood Properties Using near Infrared Spectroscopy

2011 ◽  
Vol 19 (5) ◽  
pp. 411-419 ◽  
Author(s):  
Laurence R. Schimleck ◽  
Jorge Luis Monteiro de Matos ◽  
José Tarcisio da Silva Oliveira ◽  
Graciela Inez Bolzon Muniz
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Wood Properties ◽  
Clear Wood ◽  
Caesalpinia Echinata ◽  
Non Destructive

Estimation ofPinus radiata D. Don clear wood properties by near-infrared spectroscopy

2002 ◽  
Vol 48 (2) ◽  
pp. 132-137 ◽  
Author(s):  
Laurence R. Schimleck ◽  
Robert Evans ◽  
A. Colin Matheson
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Wood Properties ◽  
Clear Wood

scholarly journals Research Note: Non-destructive Detection of Super Grade Chick Embryos or Hatchlings using Near-infrared Spectroscopy

2021 ◽  
pp. 101189
Author(s):  
Alin Khaliduzzaman ◽  
Ayuko Kashimori ◽  
Tetsuhito Suzuki ◽  
Yuichi Ogawa ◽  
Naoshi Kondo
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Research Note ◽  
Chick Embryos ◽  
Non Destructive

Fast Non-Destructive Detection of Wool Content in Blended Fabrics Based on Near-Infrared Spectroscopy Technology

2015 ◽  
Vol 671 ◽  
pp. 356-362 ◽  
Author(s):  
Zhi Feng Chen ◽  
Yuan Quan Hong ◽  
Chang Jiang Wan ◽  
Lian Ying Zhao
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Detection Method ◽  
Quantitative Model ◽  
National Standard ◽  
Fast Detection ◽  
Significant Difference ◽  
Validation Set ◽  
Non Destructive

A fast non-destructive method of detection of wool content in blended fabrics was studied based on Near Infrared spectroscopy technology in order to avoid the time-consuming, tedious work and the destruction of samples in the traditional inspection. 621 wool/nylon, wool/polyester and wool/nylon/polyester blended fabrics were taken as research objects. To get the wool content, we established the wool near-infrared quantitative model by partial least squares (PLS) method after analyzing the color and composition of the samples. For verifying the validity and practicability of the model, 100 samples were chosen as an independent validation set. The variance analysis shows that there is no significant difference between Near Infrared fast detection method and national standard method (GB/T2910-2009),which indicates that this method is expected to be a means of fast non-destructive detection and will have extensive application future in the field of wool content detection.

scholarly journals Non-destructive assessment of the oxidative stability of intact macadamia nuts during the drying process by near-infrared spectroscopy

LWT ◽  
2019 ◽  
Vol 103 ◽  
pp. 101-107 ◽  
Author(s):  
Lívia C. Carvalho ◽  
Marcondes L. Leite ◽  
Camilo L.M. Morais ◽  
Kássio M.G. Lima ◽  
Gustavo H.A. Teixeira
Keyword(s):  
Infrared Spectroscopy ◽  
Oxidative Stability ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Drying Process ◽  
Macadamia Nuts ◽  
Non Destructive

scholarly journals An Overview of Near Infrared Spectroscopy and Its Applications in the Detection of Genetically Modified Organisms

2021 ◽  
Vol 22 (18) ◽  
pp. 9940
Author(s):  
Soo-In Sohn ◽  
Subramani Pandian ◽  
Young-Ju Oh ◽  
John-Lewis Zinia Zaukuu ◽  
Hyeon-Jung Kang ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Food Systems ◽  
Near Infrared ◽  
Genetically Modified Organisms ◽  
Genetically Modified ◽  
Genetically Modified Crops ◽  
Non Invasive ◽  
Agriculture And Food ◽  
Non Destructive

Near-infrared spectroscopy (NIRS) has become a more popular approach for quantitative and qualitative analysis of feeds, foods and medicine in conjunction with an arsenal of chemometric tools. This was the foundation for the increased importance of NIRS in other fields, like genetics and transgenic monitoring. A considerable number of studies have utilized NIRS for the effective identification and discrimination of plants and foods, especially for the identification of genetically modified crops. Few previous reviews have elaborated on the applications of NIRS in agriculture and food, but there is no comprehensive review that compares the use of NIRS in the detection of genetically modified organisms (GMOs). This is particularly important because, in comparison to previous technologies such as PCR and ELISA, NIRS offers several advantages, such as speed (eliminating time-consuming procedures), non-destructive/non-invasive analysis, and is inexpensive in terms of cost and maintenance. More importantly, this technique has the potential to measure multiple quality components in GMOs with reliable accuracy. In this review, we brief about the fundamentals and versatile applications of NIRS for the effective identification of GMOs in the agricultural and food systems.

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