Detection of different adulteration from milk with non-destructive approach (Near infrared spectroscopy): A short review

Author(s):  
Agnibha Das Majumdar ◽  
Amandeep Kaur ◽  
surname given-names Pavas given-names ◽  
Neha Munjal ◽  
Uma Kamboj ◽  
...  

The present article is a review work about the role of near infrared spectroscopy to detect different adulterantsin the milk. Milk is a nutritive food and very useful and healthy drink for the child and senior citizens. It has various nutrition parameters. But, to increase the profit many adulterantsare added in the milk which are very harmful for human body. The adulterants can be detected using various chemical methods which are time consuming, hazardous and destructive in nature.Thus there is need of a nondestructive, green and rapid method to detect the adulteration. Near Infrared spectroscopy (NIRS) is one of the most useful and robust technique which needs no minimal sample preparation and is rapid, green, and non destructive in nature. The review covers the various nondestructive methods to detect various adulterants.


Author(s):  
Fernanda Lie Morimitsu ◽  
Douglas Fernandes Barbin ◽  
Amanda Teixeira Badaró ◽  
Amanda Rios Ferreira ◽  
Maria Teresa Pedrosa Silva Clerici

Fiber addition to semolina is important to promote better health, since fibers help to prevent chronical diseases such as obesity and diabetes. Since traditional methods for fiber determination are slow and demand sample preparation, the development of less invasive techniques is necessary. Therefore, near infrared spectroscopy (NIR) was used as a fast and non-destructive method to identify fibers added to semolina.



2021 ◽  
pp. 101189
Author(s):  
Alin Khaliduzzaman ◽  
Ayuko Kashimori ◽  
Tetsuhito Suzuki ◽  
Yuichi Ogawa ◽  
Naoshi Kondo


2015 ◽  
Vol 671 ◽  
pp. 356-362 ◽  
Author(s):  
Zhi Feng Chen ◽  
Yuan Quan Hong ◽  
Chang Jiang Wan ◽  
Lian Ying Zhao

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.





2021 ◽  
Vol 305 ◽  
pp. 124796
Author(s):  
A. Watanabe ◽  
S. Tokuda ◽  
Y. Mizuta ◽  
S. Miyamoto ◽  
T. Nakanishi ◽  
...  


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


Author(s):  
Olaoluwa Omoniyi Olarewaju ◽  
Lembe Samukelo Magwaza ◽  
Helene Nieuwoudt ◽  
Carlos Poblete-Echeverría ◽  
Olaniyi Amos Fawole ◽  
...  


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