Review
Chemistry, Analytical
Puneet Mishra, Dario Passos, Federico Marini, Junli Xu, Jose M. Amigo, Aoife A. Gowen, Jeroen J. Jansen, Alessandra Biancolillo, Jean Michel Roger, Douglas N. Rutledge, Alison Nordon
Summary: This paper provides a critical and comprehensive review of the major benefits and potential pitfalls of current deep learning techniques used for spectral data modeling. Although it focuses on near-infrared (NIR) spectral data in chemometric tasks, many of the findings can be applied to other spectral techniques. Finally, empirical guidelines on the best practices for using deep learning for the modeling of spectral data are provided.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2022)
Article
Optics
Junwoo Kim, Won Sang Hwang, Dongeun Kim, Dug Young Kim
Summary: In this study, a fast and effective analysis method utilizing the microscopic Beer-Lambert law is proposed for retrieving the changes in absorption coefficients of a sample from broadband frequency-domain diffuse optical spectroscopy or frequency-domain near-infrared spectroscopy data. Experimental results demonstrate that the proposed method outperforms the conventional nonlinear least-squares fitting method in terms of computation time and precision.
OPTICS COMMUNICATIONS
(2022)
Article
Food Science & Technology
Jing Sheng Ng, Syahidah Akmal Muhammad, Chin Hong Yong, Ainolsyakira Mohd Rodhi, Baharudin Ibrahim, Mohd Noor Hidayat Adenan, Salmah Moosa, Zainon Othman, Nazaratul Ashifa Abdullah Salim, Zawiyah Sharif, Faridah Ismail, Simon D. Kelly, Andrew Cannavan
Summary: This study examines the feasibility of using a handheld near-infrared spectroscopic device to determine the authenticity of edible bird's nests (EBNs) compared to a benchtop mid-infrared spectrometer. The results show that spectroscopic analysis combined with chemometrics can be a powerful tool in detecting EBN adulteration.
Article
Food Science & Technology
Xiaohong Wu, Yiheng Fang, Bin Wu, Man Liu
Summary: The quality of milk is closely related to its brand reputation. In this study, a new fuzzy feature extraction method called fuzzy improved null linear discriminant analysis (FiNLDA) was designed to cluster milk spectra and identify milk brands. The portable near-infrared spectrometer was used to acquire and process the milk spectra, and the FiNLDA method achieved a high classification accuracy of 94.67%. This research demonstrates that combining the portable NIR spectrometer with FiNLDA can accurately and effectively classify milk brands.
Article
Spectroscopy
Kengo Saito, Toru Yamagata, Manami Kanno, Norio Yoshimura, Masao Takayanagi
Summary: Identification of cellulose fibers in fabric is crucial for quality control and distribution. A novel technique utilizing infrared spectroscopy with ATR method has been developed to accurately discriminate different types of cellulose fibers in fabric products.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Pharmacology & Pharmacy
Serena Bobba, Nunzio Zinfollino, Davide Fissore
Summary: The use of Fourier-Transform Near-Infrared Spectroscopy for Statistical Quality Control in batch freeze-drying of pharmaceutical products is proposed. By developing a statistical controller and employing multivariate analysis methods, it is possible to quickly check if the product quality meets the desired threshold in production runs.
EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS
(2021)
Article
Spectroscopy
Hong Zi-yun, Yan Cheng-lin, Min Hong, Xing Yan-jun, Li Chen, Liu Shu
Summary: This study successfully established a model for identifying coal species using near-infrared spectra and sample composition information, with high verification accuracy. The study found that the differences in near-infrared spectra mainly focused on absorbance, spectral slope, and characteristic peaks, which were related to coal quality characteristics.
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2022)
Article
Plant Sciences
Emmanuel E. Okere, Ebrahiema Arendse, Helene Nieuwoudt, Willem J. Perold, Umezuruike Linus Opara
Summary: The study demonstrated the potential of Fourier transformed near-infrared and mid-infrared spectroscopy combined with chemometric analysis for rapid and accurate prediction of pomegranate kernel oil quality attributes.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Pharmacology & Pharmacy
Arto Merivaara, Jere Kekkonen, Julia Monola, Elle Koivunotko, Marko Savolainen, Tuomo Silvast, Kirsi Svedstrom, Ana Diaz, Mirko Holler, Ossi Korhonen, Marjo Yliperttula, Sami Valkonen
Summary: Near-infrared spectroscopy can be used to monitor the residual water content of freeze-dried products, and our predictive model accurately predicts the residual water content of different biomaterial aerogels. This is important for the freeze-drying of biomaterials and aerogel fabrication.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2022)
Correction
Surgery
Junsong Liu, Xiaoxia Wang, Rui Wang, Chongwen Xu, Ruimin Zhao, Honghui Li, Shaoqiang Zhang, Xiaobao Yao
Summary: An updated version of this paper has been published and can be accessed through the original article.
Article
Instruments & Instrumentation
Chunwang Dong, Zhongyuan Liu, Chongshan Yang, Ting An, Bin Hu, Xin Luo, Jing Jin, Yang Li
Summary: This study used near-infrared spectroscopy to detect the content of exogenous sucrose in black tea, and established discriminant models using various methods for data preprocessing. The ELM model with MC preprocessing and VCPA-IRIV method extraction of characteristic wavelengths achieved the best discrimination, with recognition accuracy rates of 100% for both the correction and prediction sets.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Plant Sciences
Andries J. Daniels, Carlos Poblete-Echeverria, Helene H. Nieuwoudt, Nicolene Botha, Umezuruike Linus Opara
Summary: Table grape browning is a physiological disorder that occurs during cold storage, and new methods like NIR spectroscopy coupled with PLS-DA and ANN have been used for non-destructive classification. Results showed better classification accuracy for chocolate browning compared to friction browning, with higher specificity and sensitivity.
FRONTIERS IN PLANT SCIENCE
(2021)
Review
Biochemistry & Molecular Biology
Charlotte Delrue, Sander De Bruyne, Marijn M. Speeckaert
Summary: Traditional renal biomarkers are insensitive for early detection of kidney disease. Infrared spectroscopy offers a label-free and non-destructive method for quick and inexpensive diagnosis of kidney disorders. This review provides an overview of the applications of near- and mid-infrared spectroscopy in patients with acute kidney injury and chronic kidney disease.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Food Science & Technology
Amanda Teixeira Badaro, Joao Pedro Hebling e Tavares, Jose Blasco, Nuria Aleixos-Borras, Douglas Fernandes Barbin
Summary: This review discusses the applications of Near Infrared (NIR) Spectroscopy, Fourier Transform Near-Infrared (FT-NIR) Spectroscopy, and Hyperspectral Imaging (HSI) in wheat flour and wheat-based product authentication, assessment of quality parameters, composition, and contamination. These spectral techniques are rapid, non-destructive, and chemical-free, making them important for quick analysis and application in industrial processing lines.
Article
Spectroscopy
William G. Killian, Aseel M. Bala, Andrew T. Norfleet, Lars Peereboom, James E. Jackson, Carl T. Lira
Summary: This study presents a new approach to quantify the mid-range infrared hydroxyl stretch absorbance region using a continuous attenuation coefficient function. The results show that the technique can provide integrated areas directly correlated to hydroxyl concentrations and determine unique hydroxyl configurations. The comparison with the thermodynamic perturbation theory model demonstrates the accuracy of the method in capturing the distribution features of hydrogen-bonded hydroxyl configurations.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Chemistry, Analytical
Vahid Hamedpour, Paolo Oliveri, Riccardo Leardi, Daniel Citterio
ANALYTICA CHIMICA ACTA
(2020)
Article
Polymer Science
Silvia Vita, Rico Ricotti, Cristina Malegori, Paolo Oliveri, Maila Castellano, Silvia Vicini
JOURNAL OF APPLIED POLYMER SCIENCE
(2020)
Article
Food Science & Technology
Jamie Cafferky, Torres Sweeney, Paul Allen, Amna Sahar, Gerard Downey, Andrew R. Cromie, Ruth M. Hamill
Article
Chemistry, Analytical
M. Antonietta Baldo, Angela M. Stortini, Paolo Oliveri, Riccardo Leardi, Ligia M. Moretto, Paolo Ugo
Article
Environmental Sciences
Elena Pavoni, Matteo Crosera, Elisa Petranich, Paolo Oliveri, Katja Klun, Jadran Faganeli, Stefano Covelli, Gianpiero Adami
Article
Chemistry, Analytical
Cristina Malegori, Eugenio Alladio, Paolo Oliveri, Cristina Manis, Marco Vincenti, Paolo Garofano, Filippo Barni, Andrea Berti
Article
Environmental Sciences
Stefania Piarulli, Giorgia Sciutto, Paolo Oliveri, Cristina Malegori, Silvia Prati, Rocco Mazzeo, Laura Airoldi
Review
Chemistry, Analytical
Paolo Oliveri, Cristina Malegori, Eleonora Mustorgi, Monica Casale
Summary: This study introduces qualitative pattern recognition methods in chemometrics, divided into unsupervised and supervised analysis. Supervised analysis is further divided into discriminant and class-modelling methods, with the former requiring at least two classes to be defined, and the latter suitable for one-class classification.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Applied
Cristina Malegori, Paolo Oliveri, Eleonora Mustorgi, Maria Alessandra Boggiani, Graziella Pastorini, Monica Casale
Summary: The study utilized hyperspectral imaging in the near infrared region and multivariate pattern recognition to monitor the biochemical phenomena responsible for cheese ripening. By analyzing NIR spectral bands characterizing dehydration, proteolysis and lipolysis, score maps based on principal component analysis were developed to track and visualize the ripening process of Formaggetta cheese, providing insights into the evolution of dehydration, proteolysis and lipolysis during maturation.
Article
Spectroscopy
Cristina Malegori, Jelena Muncan, Eleonora Mustorgi, Roumiana Tsenkova, Paolo Oliveri
Summary: The study explores the relationship between water activity and water molecular structure, finding that water activity governs the state of rice germ during storage, with water structure described solely through absorbance spectral pattern.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Chemistry, Analytical
Cristina Manis, Cristina Malegori, Eugenio Alladio, Marco Vincenti, Paolo Garofano, Filippo Barni, Andrea Berti, Paolo Oliveri
Summary: This study introduces a novel nondestructive analytical strategy using hyperspectral imaging and multivariate regression methods to accurately determine the date of biological fluids such as semen and urine, as well as blood traces. The results have significant implications for limiting the number of suspects and clarifying the sequence of events in a crime.
Article
Chemistry, Analytical
Emilio Catelli, Zelan Li, Giorgia Sciutto, Paolo Oliveri, Silvia Prati, Michele Occhipinti, Alessandro Tocchio, Roberto Alberti, Tommaso Frizzi, Cristina Malegori, Rocco Mazzeo
Summary: The new challenge in the investigation of cultural heritage is to obtain stratigraphical information without sampling. In this paper, a commercialized analytical set-up is used in combination with multivariate and multiblock data processing to analyze multilayered paintings. The instrument allows for elemental and molecular information from superficial to subsurface layers.
ANALYTICA CHIMICA ACTA
(2023)
Article
Chemistry, Multidisciplinary
Cristina Malegori, Giorgia Sciutto, Paolo Oliveri, Silvia Prati, Lucrezia Gatti, Emilio Catelli, Stefano Benazzi, Silvia Cercatillo, Dragana Palecek, Rocco Mazzeo, Sahra Talamo
Summary: The presence of collagen in rare prehistoric bones allows for their age to be estimated by radiocarbon dating, but this method is destructive. In this study, researchers used near-infrared hyperspectral imaging to non-destructively quantify the collagen in bone samples. The results offer significant advances for the study of human evolution, allowing for the preservation of valuable bone material while providing accurate age information.
COMMUNICATIONS CHEMISTRY
(2023)
Article
Multidisciplinary Sciences
Erica Vaccaro, Valentina Ciccotelli, Paolo Oliveri, Roberta Battistini, Cristina Capelli, Stefano Lottici, Nunzia Melchiorre, Elena Smirnova, Marta Ferro, Erica Costa, Barbara Betti, Barbara Vivaldi, Chiara Masotti, Laura Serracca, Francesco Iacona, Mino Orlandi, Carlo Ercolini
Summary: Shellfish sanitary controls are crucial to ensure consumer health due to the potential accumulation of pathogens, contaminants, and biotoxins in filter-feeding bivalve molluscs. This study analyzed historical data of shellfish farm samples using chemometric methods to identify correlations, seasonal trends, and similarities between stations, aiming to improve risk assessment and monitoring organization.
Article
Chemistry, Analytical
Vahid Hamedpour, Paolo Oliveri, Cristina Malegori, Tsuyoshi Minami
SENSORS AND ACTUATORS B-CHEMICAL
(2020)
Article
Food Science & Technology
Yonghong Ye, Songyan Zheng, Yuanxing Wang
Summary: In this study, the changes of aroma components in Gannan navel orange during growth were systematically studied using HS-SPME-GC-MS. Key aroma components and markers were identified. These findings contribute to a better understanding of the dynamic variation of aroma compounds during navel orange growth and have potential for industrial applications.
FOOD RESEARCH INTERNATIONAL
(2024)
Article
Food Science & Technology
Jia Xu, Yayuan Zhang, Mengke Zhang, Xinlin Wei, Yiming Zhou
Summary: This study evaluated the effects of glucosamine selenium on summer-autumn tea, showing that it can enhance nutritional quality, improve sensory characteristics, and increase plant adaptation to environmental changes and abiotic stresses.
FOOD RESEARCH INTERNATIONAL
(2024)
Article
Food Science & Technology
Yuanming Chu, Zhaoyang Ding, Jing Xie
Summary: This study investigated the use of ice glazing containing D-sodium erythorbate (DSE) and vacuum packaging to maintain the quality of large yellow croaker during frozen storage. The results showed that vacuum packaging effectively inhibited ice crystal growth and minimized water loss, while the combination of vacuum packaging and 0.3% DSE-infused ice glazing maintained freshness indicators at low levels throughout the 300-day storage period. This combination was considered the most effective in preserving the quality of the fish.
FOOD RESEARCH INTERNATIONAL
(2024)
Review
Food Science & Technology
Md. Ashikur Rahman, Shirin Akter, Md. Ashrafudoulla, Md. Anamul Hasan Chowdhury, A. G. M. Sofi Uddin Mahamud, Si Hong Park, Sang-Do Ha
Summary: This comprehensive review aims to provide insights into the mechanisms and key factors influencing biofilm formation by A. hydrophila in the food industry. It explores the molecular processes involved in various stages of biofilm formation and investigates the impact of intrinsic factors and environmental conditions on biofilm architecture and resilience. The article also highlights the potential of bibliometric analysis in conceptualizing the research landscape and identifying knowledge gaps in A. hydrophila biofilm research.
FOOD RESEARCH INTERNATIONAL
(2024)
Article
Food Science & Technology
Chujing Wang, Wenni Tian, Zengliu Song, Qun Wang, Yong Cao, Jie Xiao
Summary: Solid lipid ratio in emulsions has significant effects on colloidal stability, mucus permeability, and bioavailability in vivo. Higher solid lipid ratio improves intestinal stability but reduces mucus permeability.
FOOD RESEARCH INTERNATIONAL
(2024)
Article
Food Science & Technology
Dacai Zhong, Liping Kang, Juan Liu, Xiang Li, Li Zhou, Luqi Huang, Zidong Qiu
Summary: In this study, a novel online extraction electrospray ionization mass spectrometry method was developed to comprehensively characterize complex foods. Meanwhile, a characteristic marker screening method and chemometrics modeling were used for the accurate authentication of highly-similar foods. This research has significant implications for ensuring food quality and safety.
FOOD RESEARCH INTERNATIONAL
(2024)
Article
Food Science & Technology
Qiannan Zhao, Jinyi Yang, Jiahui Li, Lei Zhang, Xiaohai Yan, Tianli Yue, Yahong Yuan
Summary: This study investigated the transport and hypoglycemic effects of phenolics in mulberry leaves using an in vitro digestion model. The results showed that digested phenolics had higher absorbability and could inhibit glucose digestion and absorption. Phenolics also regulated glucose metabolism. Luteoforol and p-coumaric acid were found to be the primary phenolics strongly correlated with the hypoglycemic ability of mulberry leaves.
FOOD RESEARCH INTERNATIONAL
(2024)
Article
Food Science & Technology
Yanyun Cao, Qingling Wang, Jinou Lin, Yin-Yi Ding, Jianzhong Han
Summary: This study investigated the effects of gallic acid (GA) and epigallocatechin gallate (EGCG) at different ratios on the gel properties of calcium induced-whey protein emulsion gel. It was found that GA and EGCG could promote gel formation, increase gel strength, and delay the release of emulsified oil droplets.
FOOD RESEARCH INTERNATIONAL
(2024)
Article
Food Science & Technology
Monique Martins Strieder, Vitor Lacerda Sanches, Mauricio Ariel Rostagno
Summary: This study proposed an integrated and automated procedure for extracting, separating, and quantifying bioactive compounds from coffee co-products. By optimizing the extraction, separation, and analysis method, real-time analysis was achieved. The results suggest that coupling different techniques can efficiently extract, separate, and analyze phenolic compounds, providing an integrated method to produce high-added value ingredients for various applications.
FOOD RESEARCH INTERNATIONAL
(2024)
Article
Food Science & Technology
Kyu Sang Sim, Hyoyoung Kim, Suel Hye Hur, Tae Woong Na, Ji Hye Lee, Ho Jin Kim
Summary: Geographical origin plays a crucial role in determining the quality and safety of agricultural products. In this study, ICP analysis was used to determine the inorganic elemental content of onions and identify their geographical origin. Chemometric methods were applied to analyze the ICP results, and the accuracy of distinguishing between Korean and Chinese onions was found to be excellent. The findings suggest that this method can be beneficial for identifying agricultural products.
FOOD RESEARCH INTERNATIONAL
(2024)