BIORESOURCE TECHNOLOGY
·
2016
·
IF 4.917
Lin Chen,Lanlan Zhang,Tianzhong Liu
During the study of Trentepohlia arborum it became clear that its cells are rich in lipids and carotenoids. Thus, lipid content, composition and fatty acids profiles in individual lipid classes, as well as pigment profiles, responding to different culture conditions, were further investigated. The results showed that the predominant carotenoids and lipid fraction in total lipid in this study was β -carotene and TAG, respectively. The lipid content increased significantly under high light while nitrogen-replete conditions induced the highest carotenoids content. However, only with a double stress of high light and nitrogen-deficiency it was possible to maximize the productivities of both carotenoids and lipids. Carotenoids (mainly β -carotene) accounted for ca . 5% of the microalgal lipid under the double stress. Data herein show the potential of T. arborum for the production of both lipids and carotenoids, and hence provide an appropriate way to produce different products from T. arborum .
研究领域:
藻类生物学
·
生物技术
✓ 已验证
DOI
高影响因子
Foods
·
2024
·Vol. 13
·期 24
·4145
·
IF 4.7
Yunpeng Wei,Huiqiang Hu,Minghua Yuan,Huaxing Xu,Xiaobo Mao,Yuping Zhao,Luqi Huang
The bioactive components of chrysanthemum tea are an essential indicator in evaluating its nutritive and commercial values. Combining hyperspectral imaging (HSI) with key wavelength selection and pattern recognition methods, this study developed a novel approach to estimating the content of bioactive components in chrysanthemums, including the total flavonoids (TFs) and chlorogenic acids (TCAs). To determine the informative wavelengths of hyperspectral images, we introduced a variable similarity regularization term into particle swarm optimization (denoted as VSPSO), which can focus on improving the combinatorial performance of key wavelengths and filtering out the features with higher collinearity simultaneously. Moreover, considering the underlying relevance of the phytochemical content and the exterior morphology characteristics, the spatial image features were also extracted. Finally, an ensemble learning model, LightGBM, was established to estimate the TF and TCA contents using the fused features. Experimental results indicated that the proposed VSPSO achieved a superior accuracy, with R2scores of 0.9280 and 0.8882 for TF and TCA prediction. Furthermore, after the involvement of spatial image information, the fused spectral–spatial features achieved the optimal model accuracy on LightGBM. The R2scores reached 0.9541 and 0.9137, increasing by 0.0308–0.1404 and 0.0181–0.1066 in comparison with classical wavelength-related methods and models. Overall, our research provides a novel method for estimating the bioactive components in chrysanthemum tea accurately and efficiently. These discoveries revealed the potential effectiveness for constructing feature fusion in HSI-based practical applications, such as nutritive value evaluation and heavy metal pollution detection, which will also facilitate the development of quality detection in the food industry.
研究领域:
食品科学
·
植物化学
·
分析化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2024
·
IF 4.3
Yingjie Feng,Yu lv,Fujia Dong,Yue Chen,Hui Li,Argenis Rodas-González,Songlei Wang
Norfloxacin is an antibacterial compound that belongs to the fluoroquinolone family. Currently, hyperspectral imaging (HSI) for the detection of antibiotic residues focuses mostly on individual systems. Attempts to integrate different HSI systems with complementary spectral ranges are still lacking. This study investigates the feasibility of applying data fusion strategies with two HSI techniques (Visible near-infrared and near-infrared) in combination to predict norfloxacin residue levels in mutton. Spectral data from the two spectral techniques were analyzed using partial least squares regression (PLSR), support vector regression (SVR) and stochastic configuration networks (SCN), respectively, and the two data fusion strategies were fused at the data level (low-level fusion) and feature level (middle-level fusion, mid-level fusion). The results indicated that the modeling performance of the two fused datasets was better than that of the individual systems. Mid-level fusion data achieved the best model based on uninformative variable elimination (UVE) combined with SCN, in which the determination coefficient of prediction set (R 2 p ) of 0.9312, (root mean square error of prediction set) RMSEP of 0.3316 and residual prediction deviation (RPD) of 2.7434, in comparison with all others. Therefore, two HSI systems with complementary spectral ranges, combined with data fusion strategies and feature selection, could be used synergistically to improve the detection of norfloxacin residues. This study may provide a valuable reference for the non-destructive detection of antibiotic residues in meat.
研究领域:
食品科学
·
分析化学
·
生物医学工程
✓ 已验证
产品关联
DOI
PubMed
高影响因子
MICROELECTRONICS RELIABILITY
·
2024
·
IF 1.6
Wei Chen,Shuo Feng,Xu Liu,Dong Hu,Xu Liu,Xi Zhu,Qi Yao,Xuejun Fan,Guoqi Zhang,Jiajie Fan
Sintered nanocopper (nanoCu) paste, exhibiting excellent electrical, thermal, and mechanical performances, offers promise for interconnections in wide bandgap (WBG) semiconductors operating at higher temperatures. However, sintered nanoCu is prone to severe corrosion in environments containing H 2 S, with on-site characterization methods for the composition of corrosion products currently lacking. In this study, a novel method was proposed for the rapid characterization of corrosion products during the corrosion process based on hyperspectral imaging (HSI) technology. Sintered nanoCu samples were subjected to 336 h H 2 S gas corrosion tests with bulk Cu as the reference, followed by correlating the corrosion element content with hyperspectral characteristic parameters. Then, the morphology and composition of corrosion products were researched using focused ion beam scanning electron microscope (FIB-SEM) and transmission electron microscope (TEM) analysis. The results showed that (1) during the corrosion process, a linear relationship was established between the Cu, O elemental atomic contents on the sample surfaces and their hyperspectral characteristic parameters. (2) The elemental atomic content of S exhibited an exponential relationship with the characteristic parameter. (3) The change rate in the spectral characteristic parameters during the corrosion process reflected the severity of corrosion, which was confirmed by comparing the thickness of the corrosion products of the sintered nanoCu and bulk Cu. This study offers a foundation for the further investigation of rapid on-site characterization of sintered nanoCu corrosion involving H 2 S.
研究领域:
材料科学
·
电子封装技术
·
表面分析技术
✓ 已验证
产品关联
DOI
高影响因子
ACS Omega
·
2024
·
IF 3.7
Jiali Yao,Dan Huang,Xudong Hu,Haiming Cheng,Dayang Wang,Xiaoming Li,Wensheng Yang,Renguo Xie
Scintillators have garnered heightened attention for their diverse applications in medical imaging and security inspection. Nonetheless, commercial scintillators encounter challenges with costly rare-earth metals and toxic elements like thallium (Tl), driving the need for sustainable, cost-effective, and eco-friendly alternatives to meet contemporary X-ray detection demands. This study focuses on exploring the potential of Cu+-doped Rb2AgI3 as an effective metal halide (MH) scintillator. One-dimensional (1D) Rb2AgI3 and Cu+-doped Rb2AgI3 single crystals (SCs) were synthesized by using the conventional temperature-lowering crystallization method. When excited by UV light, Cu+-doped SCs emitted a broad sky-blue light at 490 nm with a high photoluminescence (PL) quantum yield (PLQY) of 76.48%. Remarkably, under X-ray excitation, these Cu+-doped SCs demonstrated an outstanding light yield of 36,293 photons MeV–1, a relatively low detection threshold of 1.022 μGyair s–1, and a rapid scintillation decay time of 465 ns. The prepared translucent scintillation film has good uniformity and flexibility, with a high spatial resolution of 10.2 lp mm–1. These results position Cu+-doped Rb2AgI3 as a leading candidate among promising X-ray scintillators, offering superior scintillation light yield, excellent stability, and nontoxicity.
研究领域:
材料科学
·
放射医学
·
光学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
TALANTA
·
2024
·
IF 5.6
Xiangdong Qing,Guiying Lu,Xiaohua Zhang,Qingling Chen,Xiaohong Zhou,Wei He,Ling Xu,Jin Zhang
Classifying big data in hyperspectral imaging (HSI) can be challenging when minor (low-concentrated) compounds are present in actual samples, as for chemical additives and adulterants in food matrix. Herein, we propose a new strategy to classify HSI data for the identification of adulterants in food material for the first time. This strategy is based on the selection of essential spectral pixels of full HSI data followed by the feature space construction using uniform manifold approximation and projection as well as the data clustering utilizing hierarchical clustering analysis on the reduced data (named ESPs-UMAP-HCA). We apply our approach to analyze two real NIR datasets and four new Raman datasets. Compared with non-ESPs UMAP-HCA and t-distributed stochastic neighbor embedding combined with ESPs and HCA (ESPs-t-SNE-HCA), the developed strategy provides well-separated clusters for major and minor compounds in food matrix. Finally, the adulterants as minor compounds are accurately identified, which is confirmed by the fact that the extracted spectra of them perfectly match with their pure spectra. In addition, their locations are found in the contribution map even though they are present in a few pixels. What’s more, the proposed strategy does not need any a priori knowledge of the data structure and the class memberships and therefore reduced the studied difficulty and confirmation bias in the analysis of big HSI datasets. Overall, the proposed ESPs-UMAP-HCA method could be a potential approach for food adulteration detection.
研究领域:
食品安全
·
数据分析
·
光谱学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
ACS Omega
·
2017
·
IF 0
Yujuan Chen,Qian Yang,Panpan Xu,Li Sun,Dong Sun,Kelei Zhuo
Acidophilic highly-photoluminescent ionic liquid (IL)-modified carbon dots (CDs) were fabricated directly from polyethylene glycol-2000 (PEG2000N) by a simple one-step hydrothermal method in a system containing an IL (1-butyl-3-methylimidazolium bromide [C4mim]Br) and hydrochloric acid (HCl). In this process, PEG2000N works as the carbon source, [C4mim]Br as the modifier, and HCl as the accelerator. CDs with low photoluminescence (PL) intensity and quantum yields (QYs) were generated in the system without H+, but CDs with high PL intensity and QYs could be prepared after H+ was introduced. Moreover, with the increase of H+ concentration, the QYs of the prepared CDs increase subsequently, and the highest QY reaches up to 43%. The formation mechanism was explored, and the results showed that H+ changes the surface groups of the CDs generated without H+ into those that exist on the CDs generated with H+, which further improves the PL performance of the CDs. Different from most CDs reported in the literature, the as-prepared CDs can still exhibit high PL intensity even under strong acidic condition.
研究领域:
材料科学
·
化学
✓ 已验证
产品关联
DOI
PubMed
Journal of Food Measurement and Characterization
·
2021
·Vol. 16
·期 1
·753-761
·
IF 2.431
Luo Yifeng,Dai Liyu,Jiang Xu,Fu Xiaping
In response to the research demand in spatial frequency domain techniques at continuous wavelengths in the field of agricultural and food products, a line scan hyperspectral spatial frequency domain combined imaging (LSH-SFDI) system was developed for quantitative hyperspectral optical imaging in the spatial frequency domain for detecting absorption ( μ a ) and reduced scattering ( μ′ s ) parameters of tissues in the continuous spectral range. Systematic calibration of the LSH-SFDI system was performed using the configured liquid phantoms, and the average errors of μ a and μ′ s at 56 wavelength bands between 450 and 740 nm were obtained as 9.24% and 6.08%, respectively. The optical parameters of milk were measured using the LSH-SFDI system, and the μ a and μ′ s values of milk samples at continuous wavelengths were analyzed by linear regression with the fat and protein contents of the corresponding milk, and the final results verified the correlation between the fat content and μ′ s and the protein content and μ a of milk. The developed system can be further used for milk quality evaluation and classification subsequently, as well as for other agricultural products and foods.
研究领域:
农业工程
·
食品科学
·
光学
✓ 已验证
产品关联
DOI
高影响因子
FOOD RESEARCH INTERNATIONAL
·
2024
·
IF 7
Yan Hu,Huahao Yu,Xinbei Song,Wei Chen,Lejia Ding,Jiayi Chen,Zhiyuan Liu,Yihang Guo,Dongyun Xu,Xuesong Zhu,Chuangchuang Zhou,Jingfei Zhang,Binhui Liao,Jihong Zhou,Xiaoli Li,Yuefei Wang,Yong He
Matcha, made from different tea leaves as raw material, exhibits diverse aromas and flavors. Therefore, there is an urgent need for a rapid, non-destructive method to assess the quality of matcha to ensure that these different characteristics are accurately assessed without compromising the integrity of the product. In this study, hyperspectral imaging technology (HSI) combined with machine learning methods enabled the first visual in situ assessment of matcha quality. The physicochemical contents of matcha were determined chemically. Qualitative and quantitative detection models for different types and grades were developed using HSI (containing Vis-NIR and NIR band). The results showed that hyperspectral data in the Vis-NIR were better than in the NIR band. The accuracy of XGBoost in modelling the classification of matcha grades reached 98.10 %. After feature selection using the random forest (RF) method, partial least squares regression (PLSR) was built to predicted the quality of matcha, which showed high prediction accuracy (test set R p 2 > 0.95). The model uses HSI to visually visualize spatial variations in constitutions (catechins, free amino acids, caffeine, soluble proteins, and soluble sugars) to show compositional differences between different types of matcha, providing a rapid non-destructive method for comprehensive assessment of matcha quality.
研究领域:
食品科学
·
光谱学
·
人工智能
✓ 已验证
产品关联
DOI
PubMed
高影响因子
APPLIED SURFACE SCIENCE
·
2017
·
IF 3.387
Hao Yang,Yuantao He,Zhongqiang Wu,Jing Miao,Fang Yang,Zhong Lu
Superhydrophobic metal coatings have been extensively studied in recent years because of their significant potential applications. Unfortunately, most of them lost the original metallic luster due to the micro/nano binary structures. In this paper, a facile method was developed to prepare a superhydrophobic and high-glossy copper coating on aluminum substrates. The bionic lotus leaf surfaces were constructed by electroless plating method and further modified with octadecanethiol. The wettability and gloss could be tuned by the concentration of the precursor. With the increase of CuSO 4 concentration, the surface roughness of the coating raised, thus resulting in increase of contact angle and decrease of glossiness. When the CuSO 4 concentration was 30 mmol/L, the coating exhibited a sub-micro/nano binary structure, in which 20–30 nm protuberances were grown on 300–500 nm mastoids. Such special morphology endowed the coating with superhydrophobic and high-glossy properties, and the coating also showed ultra-low water adhesion and stable dynamic water repellence.
研究领域:
材料科学
·
表面工程
✓ 已验证
产品关联
DOI
高影响因子
MEAT SCIENCE
·
2022
·
IF 7.077
Yu Shi,Yueying Wang,Xuetao Hu,Zhihua Li,Xiaowei Huang,Jing Liang,Xinai Zhang,Di Zhang,Xiaobo Zou,Jiyong Shi
The quality of marinated meat could be assessed by the uniformity of marinade distribution within it. In this study, the diffusion behavior of sucrose inside the marinated beef was quantitatively characterized from 2D plane and 3D space using hyperspectral imaging (HSI) and finite element analysis (FEA), respectively. Visualization of sucrose content based on HSI showed that the distribution state of sucrose on marinated beef was not uniform. Subsequently, the diffusion behavior of sucrose in the 3D beef geometric model was simulated using FEA. Results revealed that the diffusion rate of sucrose on muscle tissues is significantly higher than other tissues, and the difference in diffusion behavior is the main reason for the inhomogeneous distribution of sucrose. The quantitative characterization of marinade diffusion behavior makes it possible to predict the marinade's transient distribution state, thereby determining the optimal marinade conditions for the meat. Therefore, the method proposed has practical significance for evaluating and regulating the quality of marinated meat products.
研究领域:
食品科学
·
生物物理学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2018
·
IF 2.88
Guiyan Yang,Qingyan Wang,Chen Liu,Xiaobin Wang,Shuxiang Fan,Wenqian Huang
Rapid and visual detection of the chemical compositions of plant seeds is important but difficult for a traditional seed quality analysis system. In this study, a custom-designed line-scan Raman hyperspectral imaging system was applied for detecting and displaying the main chemical compositions in a heterogeneous maize seed. Raman hyperspectral images collected from the endosperm and embryo of maize seed were acquired and preprocessed by Savitzky-Golay (SG) filter and adaptive iteratively reweighted Penalized Least Squares (airPLS). Three varieties of maize seeds were analyzed, and the characteristics of the spectral and spatial information were extracted from each hyperspectral image. The Raman characteristic peaks, identified at 477, 1443, 1522, 1596 and 1654 cm −1 from 380 to 1800 cm −1 Raman spectra , were related to corn starch, mixture of oil and starch, zeaxanthin , lignin and oil in maize seeds, respectively. Each single-band image corresponding to the characteristic band characterized the spatial distribution of the chemical composition in a seed successfully. The embryo was distinguished from the endosperm by band operation of the single-band images at 477, 1443, and 1596 cm −1 for each variety. Results showed that Raman hyperspectral imaging system could be used for on-line quality control of maize seeds based on the rapid and visual detection of the chemical compositions in maize seeds.
研究领域:
植物学
·
食品科学
·
分析化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）