Article
Energy & Fuels
Mariana K. Moro, Eustaquio V. R. de Castro, Wanderson Romao, Paulo R. Filgueiras
Summary: This study presents an application of low-level data fusion using Fourier-transform near and mid infrared spectroscopy (NIR and MIR) for chemometric discrimination of crude oil samples. Discriminant models were obtained using Partial Least Squares Discriminant Analysis (PLS-DA), and the performance of models based on individual spectra and low-level fused spectra was compared. Data fusion achieved higher prediction accuracy for test samples, as well as smaller prevision error rate and higher efficiency, for various classifications of crude oils. The models built from data fusion demonstrated high accuracy, with values equal to or greater than 94%, indicating the complementary nature of MIR and NIR spectroscopies through the data fusion strategy.
Article
Forestry
Petter Ohrn, Mats Berlin, Malin Elfstrand, Paal Krokene, Anna Maria Jonsson
Summary: In 2018, a significant number of Norway spruce trees were killed by the spruce bark beetle in Sweden, due to severe drought stress rather than the availability of defenseless storm-felled trees. The outbreak continued in 2019 and 2020, with twice as many trees killed each year as in 2018. The study aimed to quantify the seasonal variation and potential lag-effects in tree defense capacity following severe drought stress. Inoculation with a bark beetle-associated bluestain fungus showed that tree defense capacity correlated positively with cumulative precipitation levels two months before inoculation.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Forestry
Sauradipta Ganguly, Angela Balzano, Marko Petric, Davor Krzisnik, Sadhna Tripathi, Jure Zigon, Maks Merela
Summary: Microwave modification can disrupt anatomical microstructures of wood, causing significant structural damage and reduced strength. Analysis showed varying levels of modification in tracheid cells, with heartwood samples experiencing greater anatomical distortion compared to sapwood samples. Pycnometric density measurements revealed a decrease in density after microwave modification, with increased specific pore volume and porosity percentage with higher energy levels.
Article
Chemistry, Analytical
Rafael C. Castro, David S. M. Ribeiro, Joao L. M. Santos, Ricardo N. M. J. Pascoa
Summary: This study focused on the application of vibrational spectroscopic techniques for the analysis of adulterants in peanut oil. The qualitative analysis showed that MCR-ALS accurately identified all adulterants, while the quantitative analysis demonstrated the effectiveness of both MCR-ALS and PLS in quantifying the adulterants, confirming the feasibility of using these methods in peanut oil.
Article
Food Science & Technology
Mariem Khouja, Ricardo N. M. J. Pascoa, Diana Melo, Anabela S. G. Costa, M. Antonia Nunes, Abdelhamid Khaldi, Chokri Messaoud, M. Beatriz P. P. Oliveira, Rita C. Alves
Summary: This study investigated the feasibility of using near-infrared spectroscopy to analyze the lipid content and profile of pine seeds, as well as to discriminate between different pine species. Different chemometric models were applied, and the results showed that near-infrared spectroscopy is a suitable analytical technique for lipid analysis and species discrimination of pine seeds.
Article
Forestry
Olli-Pekka Tikkasalo, Kersti Leppa, Samuli Launiainen, Mikko Peltoniemi, Raisa Makipaa, Katja T. Rinne-Garmston, Elina Sahlstedt, Giles H. F. Young, Aleksandra Bokareva, Annalea Lohila, Mika Korkiakoski, Pauliina Schiestl-Aalto, Aleksi Lehtonen
Summary: This study investigated the physiological response of suppressed trees when larger trees are removed as part of continuous cover forestry (CCF) practices. The researchers collected tree-ring samples from Norway spruce trees and measured changes in stable carbon and oxygen isotopic ratios of the wood to quantify the harvest response. The study found that the model predicted a similar but lower harvest response compared to the measurements, and considering mesophyll conductance was important for capturing the variation in carbon discrimination. Sensitivity analysis on the model indicated that carbon discrimination was sensitive to parameters related to CO2 transport through stomata to the mesophyll.
Article
Food Science & Technology
Ya-Qin Wang, Guang-Min Liu, Li-Ping Hu, Xue-Zhi Zhao, De-Shuang Zhang, Hong-Ju He
Summary: Purple Chinese cabbage (PCC) is a popular breeding trend due to its attractive color and high nutritional quality enriched with anthocyanidins. This study established a rapid quantitative detection method for anthocyanidins in PCC using Near Infrared Spectroscopy (NIR), which combined spectral data and chemometric results to predict anthocyanidins content. The developed NIR prediction models showed excellent performance, and this time-saving and convenient method can be applied in purple vegetable breeding practice.
Article
Spectroscopy
Suleiman A. Haruna, Huanhuan Li, Wenya Wei, Wenhui Geng, Xiaofeng Luo, Muhammad Zareef, Selorm Yao-Say Solomon Adade, Ngouana Moffo A. Ivane, Adamu Isa, Quansheng Chen
Summary: In this study, the potential of near-infrared spectroscopy coupled with efficient variable selection algorithms for quantitative prediction of flavonoids and phenolic compounds in raw peanut seeds was explored. The Si-CARS-PLS model performed optimally for predicting total flavonoids and total phenolics.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Chemistry, Analytical
Baohua Tan, Wenhao You, Shihao Tian, Tengfei Xiao, Mengchen Wang, Beitian Zheng, Lina Luo
Summary: This study presents a method for rapid detection of nitrogen content in soil using near-infrared spectroscopy and random forest regression. The results show that the proposed method has higher prediction accuracy compared to other models and effectively reduces data redundancy.
Article
Chemistry, Applied
Simon Duthen, Cecile Levasseur-Garcia, Didier Kleiber, Frederic Violleau, Carlos Vaca-Garcia, Satoru Tsuchikawa, Christine Delgado Raynaud, Jean Dayde
Summary: Gelatin, a natural biopolymer obtained from fibrous collagen, is widely used in various industries. Near-infrared (NIR) spectroscopy can accurately and rapidly analyze the moisture content, gel strength, and viscosity of gelatin, providing a competitive advantage. The technique achieved good predictive accuracy for these parameters, with potential applications in industrial conditions.
FOOD HYDROCOLLOIDS
(2021)
Article
Food Science & Technology
Alessio Tugnolo, Valentina Giovenzana, Cristina Malegori, Paolo Oliveri, Andrea Casson, Matteo Curatitoli, Riccardo Guidetti, Roberto Beghi
Summary: The research evaluated the performance of a NIR spectrophotometer in measuring the moisture content of coffee, showing high predictive accuracy through PLS regression models. Passing-Bablok regression and residual dispersion index were used to compare NIR and TMA measurements, indicating the superior predictive accuracy of the NIR spectrophotometer.
Article
Plant Sciences
Nora Papp, Dragica Purger, Szilvia Czigle, Dora Czegenyi, Szilvia Stranczinger, Monika Toth, Tunde Denes, Marianna Kocsis, Anna Takacsi-Nagy, Rita Filep
Summary: This study surveyed the ethnobotanical and traditional use of pine species among Hungarian-speaking ethnic groups in Transylvania and compared the findings with previous reports from Transylvania and other countries in the Carpathian Basin. The results showed that pine species, such as Abies alba, Picea abies, Pinus nigra, and Pinus sylvestris, were commonly used for treating respiratory diseases and dental problems. The cones of these species were used to make syrup and decoction, with Picea abies being the most frequently documented and mentioned in the treatment of various diseases. The study also discovered new uses for Picea abies, such as for dyspnoea, thyroid glands, and kidney disorders, which were not previously reported in ethnobotanical literature.
Article
Forestry
Marko Kovacevic, Cornelia Rieder-Gradinger, Alfred Teischinger, Ewald Srebotnik
Summary: VOCs emissions from Scots pine and Norway spruce wood were evaluated using Micro-Chamber air-sampling, thermal desorption, and GC-MS. The results showed that there were no significant differences in emissions between spruce heartwood and sapwood. The emission rates from spruce were significantly lower than pine in both green and kiln-dried conditions. Kiln drying had a substantial impact on VOC emissions, with a median emission reduction of more than 70% for all tested groups except for pine sapwood. The emission profiles were similar among the tested groups, except for one particular compound.
EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS
(2023)
Article
Multidisciplinary Sciences
Shinta Ohashi, Katsushi Kuroda, Hisashi Abe, Akira Kagawa, Masabumi Komatsu, Masaki Sugiyama, Youki Suzuki, Takeshi Fujiwara, Tsutomu Takano
Summary: Understanding the contamination of trees by radiocesium from the Fukushima nuclear accident is crucial for predicting wood contamination. Research has shown that the Cs-137 dynamics within forests and trees have reached apparent steady state in many plots, although Cs-137 root uptake may still be increasing in some areas.
SCIENTIFIC REPORTS
(2022)
Article
Optics
Chuanmei Yang, Peiwen Guang, Li Li, Han Song, Furong Huang, Yuanpeng Li, Lihu Wang, Junhui Hu
Summary: The study investigates the feasibility of using spectral feature fusion technology combined with PLS-DA for the diagnosis of Alzheimer's disease, and finds that the PLS-DA model based on NIR-MIR spectral feature fusion performs best.
