Literature DB >> 35347675

Application of near-infrared spectroscopy to agriculture and forestry.

Satoru Tsuchikawa1, Te Ma2, Tetsuya Inagaki2.   

Abstract

Depending on the uniformity of the quality attribute within agricultural products, there is often a need to develop non-destructive and efficient evaluation methods to assure their qualities. Near-infrared spectroscopy (NIRS) is a well-suited method to characterize organic compounds, particularly when coupled with multivariate analysis methods. This review article introduces scientific and technical reports using the NIRS to evaluate food, agriculture, and forest products. Overall, basic spectroscopic research is continuously progressing; indeed, in combination with big-data information technology and spectral imaging techniques, material analysis is improving to maximize performance. Portable and low-cost devices have also been designed and produced, enabling remote analysis. Future advancements are expected to result in its applications in even more fields for online or at-line quality monitoring.
© 2022. The Author(s), under exclusive licence to The Japan Society for Analytical Chemistry.

Entities:  

Keywords:  Food agriculture and forest products; Near-infrared spectroscopy; Non-destructive quality evaluation; Portable design; Quality mapping

Mesh:

Year:  2022        PMID: 35347675     DOI: 10.1007/s44211-022-00106-6

Source DB:  PubMed          Journal:  Anal Sci        ISSN: 0910-6340            Impact factor:   2.081


  17 in total

1.  Techniques for obtaining absorption spectra on intact biological samples.

Authors:  K H NORRIS; W L BUTLER
Journal:  Ire Trans Biomed Electron       Date:  1961-07

2.  Prediction of sensory characteristics of lamb meat samples by near infrared reflectance spectroscopy.

Authors:  S Andrés; I Murray; E A Navajas; A V Fisher; N R Lambe; L Bünger
Journal:  Meat Sci       Date:  2007-01-27       Impact factor: 5.209

Review 3.  A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies.

Authors:  Yves Roggo; Pascal Chalus; Lene Maurer; Carmen Lema-Martinez; Aurélie Edmond; Nadine Jent
Journal:  J Pharm Biomed Anal       Date:  2007-03-30       Impact factor: 3.935

4.  Developments and Challenges in Online NIR Spectroscopy for Meat Processing.

Authors:  Y Dixit; Maria P Casado-Gavalda; R Cama-Moncunill; X Cama-Moncunill; Maria Markiewicz-Keszycka; P J Cullen; Carl Sullivan
Journal:  Compr Rev Food Sci Food Saf       Date:  2017-09-11       Impact factor: 12.811

Review 5.  Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials.

Authors:  Marena Manley
Journal:  Chem Soc Rev       Date:  2014-08-26       Impact factor: 54.564

6.  Portable near infrared spectroscopy applied to quality control of Brazilian coffee.

Authors:  Radigya M Correia; Flavia Tosato; Eloilson Domingos; Rayza R T Rodrigues; Luiz Felipe M Aquino; Paulo R Filgueiras; Valdemar Lacerda; Wanderson Romão
Journal:  Talanta       Date:  2017-08-03       Impact factor: 6.057

7.  Handheld NIR device: A non-targeted approach to assess authenticity of fish fillets and patties.

Authors:  Silvia Grassi; Ernestina Casiraghi; Cristina Alamprese
Journal:  Food Chem       Date:  2017-09-30       Impact factor: 7.514

8.  Assessing different processed meats for adulterants using visible-near-infrared spectroscopy.

Authors:  Ahmed Rady; Akinbode Adedeji
Journal:  Meat Sci       Date:  2017-10-24       Impact factor: 5.209

9.  Determination of fatty acids and lipid classes in salmon oil by near infrared spectroscopy.

Authors:  Mari Merce Cascant; Cassandra Breil; Anne Silvie Fabiano-Tixier; Farid Chemat; Salvador Garrigues; Miguel de la Guardia
Journal:  Food Chem       Date:  2017-06-30       Impact factor: 7.514

10.  Prediction of Talc Content in Wheat Flour Based on a Near-Infrared Spectroscopy Technique.

Authors:  Y I Liu; Laijun Sun; Zhiyong Ran; Xuyang Pan; Shuang Zhou; Shuangcai Liu
Journal:  J Food Prot       Date:  2019-10       Impact factor: 2.077

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