Article
Environmental Sciences
Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka
Summary: This research explores the novel application of Tensor Partial Least Squares (TPLS) for hyperspectral image classification. The results show that TPLS performed better than unfolded PLS, but fell short of traditional classifiers.
GEOCARTO INTERNATIONAL
(2022)
Article
Biotechnology & Applied Microbiology
Ayman Ibrahim, Abdulrahman Alghannam, Ayman Eissa, Ferenc Firtha, Timea Kaszab, Zoltan Kovacs, Lajos Helyes
Summary: The assessment and assurance of quality attributes of date fruits using hyperspectral imaging technique shows great potential in monitoring and evaluating the physical, chemical, and sensory qualities of date fruits overall in the five maturity stages.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Plant Sciences
Anushika L. De Silva, Stephen J. Trueman, Wiebke Kamper, Helen M. Wallace, Joel Nichols, Shahla Hosseini Bai
Summary: Tree crop yield is greatly affected by fertiliser inputs, which are usually determined by assessing the nutrient levels in leaves. Traditional methods for nutrient analysis are time-consuming, but hyperspectral imaging has the potential for rapid nutrient assessment. This study aimed to evaluate the ability of laboratory-based hyperspectral imaging to predict nutrient concentrations in macadamia leaves, and compare the prediction accuracy of adaxial and abaxial leaf surfaces. The results showed that hyperspectral imaging could reliably predict foliar nutrient concentrations, with the best-fit models generally using spectral data from the adaxial surface.
Article
Multidisciplinary Sciences
Emilio Gomez-Gonzalez, Alejandro Barriga-Rivera, Beatriz Fernandez-Munoz, Jose Manuel Navas-Garcia, Isabel Fernandez-Lizaranzu, Francisco Javier Munoz-Gonzalez, Ruben Parrilla-Giraldez, Desiree Requena-Lancharro, Pedro Gil-Gamboa, Cristina Rosell-Valle, Carmen Gomez-Gonzalez, Maria Jose Mayorga-Buiza, Maria Martin-Lopez, Olga Munoz, Juan Carlos Gomez-Martin, Maria Isabel Relimpio-Lopez, Jesus Aceituno-Castro, Manuel A. Perales-Esteve, Antonio Puppo-Moreno, Francisco Jose Garcia-Cozar, Lucia Olvera-Collantes, Raquel Gomez-Diaz, Silvia de los Santos-Trigo, Monserrat Huguet-Carrasco, Manuel Rey, Emilia Gomez, Rosario Sanchez-Pernaute, Javier Padillo-Ruiz, Javier Marquez-Rivas
Summary: This study demonstrates the feasibility of using hyperspectral image analysis in the visible and near-infrared range for primary screening of SARS-CoV-2. By applying spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence, information can be extracted from fluid samples and analyzed quantitatively and descriptively. The proposed technology is reagent-free, fast, scalable, and could significantly reduce the number of molecular tests required for COVID-19 mass screening, even in resource-limited settings.
SCIENTIFIC REPORTS
(2022)
Article
Food Science & Technology
Hayato Seki, Te Ma, Haruko Murakami, Satoru Tsuchikawa, Tetsuya Inagaki
Summary: This study develops an approach to visualize the spatial distribution of sugar content in white strawberry fruit flesh using near-infrared hyperspectral imaging. The study investigates data collected from 180 white strawberry samples and develops a model to predict Brix reference values. The findings offer insights into the feasibility of designing a noncontact system to monitor the quality of white strawberries.
Article
Geosciences, Multidisciplinary
Xingxing Qiao, Chao Wang, Meichen Feng, Meijun Zhang, Xiaoyan Song, Lujie Xiao, Guangxin Li, Xiuliang Jin, Sumera Anwar, Wude Yang
Summary: Soil aggregate stability, an indicator of soil structure quality, can be efficiently estimated using hyperspectral technology. The study found a negative correlation between soil spectra and aggregate stability, with sensitive wavebands identified for each soil aggregate character. Reliable models were developed for most soil aggregate indicators, with aggregate fractal dimension proving to be a key indicator for soil aggregate stability monitoring. Hyperspectral technology offers a promising alternative method for soil aggregate assessment, particularly for large-scale applications.
Article
Food Science & Technology
Christopher T. Kucha, Li Liu, Michael Ngadi, Gariepy Claude
Summary: This study demonstrated that hyperspectral imaging technique has the potential to accurately discriminate PSFs from different locations of the pork carcass and evaluate their iodine values.
Article
Chemistry, Multidisciplinary
Geonwoo Kim, Hoonsoo Lee, Byoung-Kwan Cho, Insuck Baek, Moon S. Kim
Summary: This study aims to quantitatively evaluate food-waste components (FWCs) using hyperspectral imaging (HSI) in the visible-near-infrared region. The developed model shows the potential for discrimination and quantitative evaluation of organic fertilizer (OF) FWCs, with a coefficient of determination of 0.83 between predicted and actual values.
APPLIED SCIENCES-BASEL
(2021)
Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Environmental Sciences
Tanzeel U. Rehman, Libo Zhang, Dongdong Ma, Jian Jin
Summary: This study proposed three methods for transferring calibration models between imaging facilities without requiring standard samples. The experimental results showed that the proposed methods increased the prediction accuracy and reduced the errors for nitrogen content and relative water content calibration models. Among them, di-PLSR achieved the best performance for most datasets.
Article
Agriculture, Multidisciplinary
Yifei Han, Shahla Hosseini Bai, Stephen J. Trueman, Kourosh Khoshelham, Wiebke Kamper
Summary: Accurately predicting the ripening time of avocado fruit can improve fruit storage and reduce food waste. In this study, hyperspectral imaging was used to predict the ripening time of avocado fruit, and three models were developed. The results showed that the spectral reflectance of the fruit skin can effectively predict the ripening time, which can help improve postharvest processing and reduce losses of avocado fruit.
PRECISION AGRICULTURE
(2023)
Article
Food Science & Technology
Chao-Hui Feng, Hirofumi Arai, Francisco J. Rodriguez-Pulido
Summary: This study evaluated the pH values of sausages stuffed in natural hog casings with different modifications using hyperspectral imaging and response surface methodology. The results showed that soy lecithin and orange extracts interactively affected the pH of sausages. The first derivative was found to be the best spectral pretreatment method, and 12 feature wavelengths were selected for prediction.
Article
Chemistry, Analytical
Fatemeh Sadat Hashemi-Nasab, Shakiba Talebian, Hadi Parastar
Summary: In this study, a novel technique combining visible and short wavelengths of near infrared hyperspectral imaging (Vis-SWNIR-HSI) with different chemometric techniques was proposed for turmeric authentication and adulterant detection. The technique involved the use of multivariate resolution techniques, principal component analysis (PCA), and partial least squares - discriminant analysis (PLS-DA). The results showed good class modelling results and acceptable accuracies, demonstrating the validity of the proposed method for turmeric authentication and adulterant detection.
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Applied
Hong-Ju He, Yuling Wang, Xingqi Ou, Hanjun Ma, Hongjie Liu, Jianhua Yan
Summary: Hyperspectral data was analyzed to determine the chemical compositions of chicken flesh. Different PLS models were built using different spectral data and preprocessing methods, and the best models were identified for predicting moisture, protein, and ash contents. Optimal wavelengths were selected using different methods to simplify the models, and the optimized models showed improved performance. The study demonstrated the potential of hyperspectral data combined with PLS algorithm for predicting chicken flesh compositions.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Chemistry, Multidisciplinary
Mohammed Raju Ahmed, DeMetris D. Reed, Jennifer M. Young, Sulaymon Eshkabilov, Eric P. Berg, Xin Sun
Summary: This study utilized hyperspectral imaging to evaluate beef quality grades based on intramuscular fat levels. Results showed the potential of developing an online hyperspectral imaging system for beef quality grading at processing plants. The technique proved to be a fast and non-destructive method for determining beef grades based on fat mapping.
APPLIED SCIENCES-BASEL
(2021)
Article
Biochemical Research Methods
Tassia B. B. C. Costa, Acioly L. T. Lacerda, Caroline Dal Mas, Elisa Brietzke, Joao G. M. Pontes, Lucas A. N. Marins, Lucas G. Martins, Marcel V. Nunes, Mariana Pedrini, Michelle S. C. Carvalho, Milan P. Mitrovitch, Mirian A. F. Hayashi, Natalia L. Saldanha, Ronei J. Poppi, Ljubica Tasic
JOURNAL OF PROTEOME RESEARCH
(2019)
Article
Chemistry, Analytical
Carlos A. Teixeira, Ronei J. Poppi
MICROCHEMICAL JOURNAL
(2019)
Article
Food Science & Technology
Debora A. P. Forchetti, Ronei J. Poppi
FOOD ANALYTICAL METHODS
(2020)
Article
Biochemistry & Molecular Biology
Marina D. G. Neves, Ronei J. Poppi, Heinz W. Siesler
Article
Pharmacology & Pharmacy
Hery Mitsutake, Ligia N. M. Ribeiro, Gustavo H. Rodrigues da Silva, Simone R. Castro, Eneida de Paula, Ronei J. Poppi, Marcia C. Breitkreitz
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES
(2019)
Article
Chemistry, Applied
Felipe Bachion de Santana, Waldomiro Borges Neto, Ronei J. Poppi
Article
Biochemical Research Methods
Victor H. C. Ferreira, Leandro W. Hantao, Ronei J. Poppi
Article
Spectroscopy
Carlos A. Teixeira, Ronei J. Poppi
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2020)
Article
Chemistry, Applied
Robson B. Godinho, Mauricio C. Santos, Christian Quellet, Ronei J. Poppi
FLAVOUR AND FRAGRANCE JOURNAL
(2020)
Article
Chemistry, Analytical
Monica Benicia Mamian-Lopez, Ronei J. Poppi
Summary: The study monitored the photolytic degradation of moxifloxacin antibiotic in alkaline medium using Surface enhanced Raman spectroscopy (SERS) and found that the photolysis follows apparent first-order kinetics. The research suggests that the cleavage of the diazabicyclonyl substituent is the preferred photodegradation pathway for moxifloxacin, in agreement with previous reports.
BRAZILIAN JOURNAL OF ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Felipe Bachion de Santana, Andre Marcelo de Souza, Fabiano de Carvalho Balieiro, Mirelly Mioranza, Renato Aragao Ribeiro Rodrigues, Ronei Jesus Poppi
Summary: This study proposed an analytical methodology based on near infrared spectroscopy and partial least squares regression for the measurement of stabilized and total soil organic carbon in agricultural production systems. Two strategies were identified that could determine the total and stabilized SOC from the total soil fraction simultaneously, eliminating the need for the fractionation phase.
BRAZILIAN JOURNAL OF ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Luciana Fontes de Oliveira, Soraia Cristina Gonzaga Neves Braga, Fabio Augusto, Ronei Jesus Poppi
Summary: This study identified key components relevant to sensory perception of quality from commercial chocolate samples using GCxGC-MS profiles and ODP procedures, and classified the samples into low and high chocolate flavor categories. Furthermore, 2D Fisher Ratio analysis was applied to identify crucial areas on chromatograms resulting in class separation on PCA scores plot, with most of the sensory attributes related to only 14 compounds among the complex blend of volatiles found in the samples.
BRAZILIAN JOURNAL OF ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Hery Mitsutake, Gustavo Henrique Rodrigues da Silva, Ligia Nunes de Morals Ribeiro, Eneida de Paula, Ronei J. Poppi, Douglas N. Rutledge, Arcia C. Breitkreitz
Summary: This study investigated the miscibility and structural changes of beeswaxes in pre-formulations with copaiba oil at different concentrations. The results showed that synthetic beeswax displayed varying structural forms and changes over time, depending on the amount of liquid lipid incorporated. Spectroscopic imaging techniques were found to be valuable in pharmaceutical development for achieving stable nanostructured lipid carriers formulations.
BRAZILIAN JOURNAL OF ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Vitoria Maria Almeida de Oliveira, Michel Rocha Baqueta, Paulo Henrique Marco, Patricia Valderrama
ANALYTICAL METHODS
(2020)
Article
Transportation Science & Technology
Luciano Nascimento Batista, Viviane F. Mello, Mauricio G. Fonseca, Werickson F. C. Rocha, Claudete N. Kunigami
SAE INTERNATIONAL JOURNAL OF FUELS AND LUBRICANTS
(2019)
Article
Automation & Control Systems
Haifei Peng, Jian Long, Cheng Huang, Shibo Wei, Zhencheng Ye
Summary: This paper proposes a novel multi-modal hybrid modeling strategy (GMVAE-STA) that can effectively extract deep multi-modal representations and complex spatial and temporal relationships, and applies it to industrial process prediction.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2024)
