Article
Agriculture, Multidisciplinary
Cristina Cecchini, Francesca Antonucci, Corrado Costa, Alessandra Marti, Paolo Menesatti
Summary: This study utilized near-infrared spectroscopy to evaluate the quality of durum wheat semolina, finding that protein content correlated best with spectral data and GlutoPeak indices also exhibited good correlation with spectral data. Better modeling efficiency was obtained using the low-cost swNIR technology.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2021)
Article
Agronomy
Xiaoqing Cao, Haochun Ding, Liuchang Yang, Jiamin Huang, Li Zeng, Haibin Tong, Laijin Su, Xiaoliang Ji, Mingjiang Wu, Yue Yang
Summary: This study used NIR spectroscopy and chemometrics to grade the quality of Sargassum fusiforme seaweed harvested at different times. The SVM model performed the best in discriminating harvest time, while the CARS-PLS model showed satisfactory results in predicting polyphenol contents. The study concluded that S. fusiforme should be harvested at the middle maturity stage.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2022)
Review
Food Science & Technology
Shun Zhang, Shuliang Liu, Li Shen, Shujuan Chen, Li He, Aiping Liu
Summary: This review discusses the application of NIR spectroscopy in the quality and safety control of wheat flour products. NIR spectroscopy, combined with chemometric methods, has been used to detect chemical composition, technological parameters, mycotoxins, adulterants, and additives in wheat flour. It shows great potential for rapid and online analysis of the quality and safety of wheat flour.
CURRENT RESEARCH IN FOOD SCIENCE
(2022)
Article
Spectroscopy
Jian Li, Jihong Deng, Xue Bai, Diana da Graca Nseledge Monteiro, Hui Jiang
Summary: This study presents a chemometric framework utilizing NIR spectroscopy for quantitatively assessing AFB1 in peanuts. By employing IVSO and BWO algorithms for data processing and feature optimization, SVM models were developed, showing enhanced detection performance and generalization proficiency.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Agronomy
Yue Yang, Haibin Tong, Liuchang Yang, Mingjiang Wu
Summary: This study investigated the use of near-infrared (NIR) spectroscopy for quality evaluation of the sea vegetable Sargassum fusiforme. A combined CARS-SVM model showed improved performance compared to other PLS models, with the best results obtained in prediction of an independent test set. NIR spectroscopy coupled with CARS-SVM model was demonstrated to be a potential alternative for the quality assessment of S. fusiforme.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2021)
Article
Food Science & Technology
Daniel Cozzolino
Summary: Vibrational spectroscopy techniques are widely used in food analysis, especially in the evaluation and quantification of nutraceuticals.
Article
Agronomy
Sai Xu, Jinchang Ren, Huazhong Lu, Xu Wang, Xiuxiu Sun, Xin Liang
Summary: A platform based on visible and near infrared spectrum was proposed for optimized detection of pineapple translucency. Through the application of various spectral settings, data processing, and model establishment methods, effective detection of pineapple translucency was achieved.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2022)
Review
Forestry
Satoru Tsuchikawa, Tetsuya Inagaki, Te Ma
Summary: This review article summarizes the successful applications of near-infrared spectroscopy (NIRS) in evaluating forest and wood products in the past five years, highlighting the advantages and limitations of this technique.
CURRENT FORESTRY REPORTS
(2023)
Review
Food Science & Technology
Weixin Ye, Wei Xu, Tianying Yan, Jingkun Yan, Pan Gao, Chu Zhang
Summary: Grapes are rich in vitamins and their quality is of increasing concern to consumers. Traditional quality inspection methods for grapes are time-consuming, laborious, and destructive. Near-infrared spectroscopy (NIRS) and hyperspectral imaging (HSI) are rapid, non-destructive, and accurate techniques that have great potential for quality inspection and safety assessment of agricultural products. This review summarizes the applications and achievements of NIRS and HSI in grape quality inspection over the past decade, including basic principles, data acquisition, analysis, and processing. The advantages, disadvantages, and development trends of NIRS and HSI techniques in grape quality and safety inspection are discussed.
Review
Instruments & Instrumentation
Stephanie Wright, Joseph Levermore, Yukari Ishikawa
Summary: Microplastic pollution is a global concern for the environment and human health. In order to assess the potential hazards associated with high concentrations of microplastics, it is necessary to have a comprehensive understanding of exposure concentrations. Infrared and near-infrared microspectroscopies have been used to analyze microplastics in various matrices, and recent advances in technology have allowed for the use of multivariate and machine learning algorithms. This article provides an up-to-date review of the literature on measuring microplastic exposure using infrared spectroscopy and highlights the recent advancements in this field.
APPLIED SPECTROSCOPY
(2023)
Article
Chemistry, Applied
Eszter Benes, Barbara Biro, Marietta Fodor, Attila Gere
Summary: Insects are gaining attention as food ingredients in the food and feed sectors. However, there are concerns regarding the adulteration and quality control of insect-based products. This paper analyzes seven different species of edible insect powders and successfully differentiates both the powders of different species and the mixtures with different amounts of wheat flour using near infrared spectroscopy and chemometric methods. The proposed methodology provides an excellent tool for quality control of insect-based cereal food products.
Article
Food Science & Technology
Antoine Laborde, Francesc Puig-Castellvi, Delphine Jouan-Rimbaud Bouveresse, Luc Eveleigh, Christophe Cordella, Benoit Jaillais
Summary: This study successfully detected peanut flour adulteration in chocolate powder using NIR hyperspectral imaging and chemometrics, with adulterated pixel detection rates ranging from 0% to 17% in mixed samples.
Article
Chemistry, Analytical
Jamille C. Souza, Maria C. Hespanhol, Fabio R. P. Rocha, Celio Pasquini
Summary: A novel analytical approach based on near-infrared (NIR) Fourier transform miniaturized spectrophotometer and chemometrics is proposed for screening commercial products. The approach is more environmentally friendly and cost-effective, reducing the cost of implementation by avoiding the need for large data sets of samples analyzed by costly and laborious reference analytical methods. The combination of multivariate techniques with visual spectra inspection and spectral correlation yielded consistent qualitative and quantitative results. Non-conformities in commercial bulk sweeteners could be detected using few reference samples and mixtures of sweeteners could be analyzed to estimate the level of adulteration.
MICROCHEMICAL JOURNAL
(2023)
Article
Biotechnology & Applied Microbiology
Yoo Hwan Kim, Seung-Ho Paik, Youngmin Kim, Jaechul Yoon, Yong Suk Cho, Dohern Kym, Jun Hur, Wook Chun, Beop-Min Kim, Byung-Jo Kim
Summary: This study assessed the burn extent and depth in patients with burns using a custom-built 36-channel functional near-infrared spectroscopy system. Hemodynamic tissue signals measured during fNIRS showed significant differences between different burn categories, indicating that functional near-infrared spectroscopy can help with the early judgment of burn extent and depth by reflecting differences in the oxygen saturation levels in the skin.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Chemistry, Applied
M. Franzoi, A. Costa, A. Goi, M. Penasa, M. De Marchi
Summary: The study demonstrated the effectiveness of visible-near infrared spectroscopy coupled with simulated annealing PLS regression in predicting immunoglobulin fractions of bovine colostrum. The model developed using the calibration dataset showed improved accuracy in validation, particularly in quantifying IgG.