Successful Applications of NIR Spectroscopy and NIR Imaging in the Food Processing Chain-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Successful Applications of NIR Spectroscopy and NIR Imaging in the Food Processing Chain

Published:2023-08-13 Issue:16 Volume:12 Page:3041
ISSN:2304-8158
Container-title:Foods
language:en
Short-container-title:Foods

Author:

Squeo Giacomo¹^ORCID,Amigo José Manuel²³^ORCID

Affiliation:

1. Department of Soil Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy

2. Department of Analytical Chemistry, University of the Basque Country UPV/EHU, P.O. Box 644, 48080 Bilbao, Spain

3. IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain

Abstract

Forty years ago, Near InfraRed (NIR) was considered a sleeping technique among the spectroscopic ones [...]

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Link

https://www.mdpi.com/2304-8158/12/16/3041/pdf

Reference7 articles.

1. Wold, J.P., Solberg, L.E., Gaarder, M.Ø., Carlehøg, M., Sanden, K.W., and Rødbotten, R. (2022). In-Line Estimation of Fat Marbling in Whole Beef Striploins (Longissimus lumborum) by NIR Hyperspectral Imaging. A Closer Look at the Role of Myoglobin. Foods, 11.

2. Solberg, L.E., Wold, J.P., Dankel, K., Øyaas, J., and Måge, I. (2023). In-Line Near-Infrared Spectroscopy Gives Rapid and Precise Assessment of Product Quality and Reveals Unknown Sources of Variation—A Case Study from Commercial Cheese Production. Foods, 12.

3. Tejerina, D., Oliván, M., García-Torres, S., Franco, D., and Sierra, V. (2022). Use of Near-Infrared Spectroscopy to Discriminate DFD Beef and Predict Meat Quality Traits in Autochthonous Breeds. Foods, 11.

4. Alamu, E.O., Menkir, A., Adesokan, M., Fawole, S., and Maziya-Dixon, B. (2022). Near-Infrared Reflectance Spectrophotometry (NIRS) Application in the Amino Acid Profiling of Quality Protein Maize (QPM). Foods, 11.

5. Seki, H., Ma, T., Murakami, H., Tsuchikawa, S., and Inagaki, T. (2023). Visualization of Sugar Content Distribution of White Strawberry by Near-Infrared Hyperspectral Imaging. Foods, 12.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3