Article
Food Science & Technology
Shijie Tian, Wei Liu, Huirong Xu
Summary: Soluble solids content (SSC) is crucial for kiwifruit as it determines its flavor and maturity assessment. Although Vis/NIR spectroscopy is widely used to evaluate SSC, local calibration models may not be effective for new batches of samples with biological variability, limiting its commercial application. Therefore, a calibration model was developed using one batch and tested with a different batch to improve prediction performance.
FOOD RESEARCH INTERNATIONAL
(2023)
Review
Food Science & Technology
Lu Qiao, Yingchun Mu, Bing Lu, Xiuying Tang
Summary: In recent years, near-infrared (NIR) spectroscopy technique has been developed to objectively measure quality attributes for different food products. However, any change in measurement condition or instrumental response can lead to a decline in performance of the multivariate calibration model. Therefore, calibration maintenance is crucial for the widespread application of NIR technique in food analysis. This paper reviews common calibration maintenance methods based on different principles and introduces multivariate statistical evaluations for model acceptance. By presenting calibration maintenance applications in food quality analysis, the article demonstrates the effectiveness of this approach in improving model applicability and prediction accuracy. Further research on calibration maintenance for different food quality parameters is needed to achieve efficient and reliable application of NIR prediction in the food industry.
FOOD REVIEWS INTERNATIONAL
(2023)
Article
Plant Sciences
Qifu Luan, Shu Diao, Honggang Sun, Xianyin Ding, Jingmin Jiang
Summary: This study investigated the effects of slope on the resin yield and components of slash pine trees, and developed a rapid method for predicting resin composition. The results showed that a barren slope position improved the terpene content and productivity of resin in slash pine trees.
Article
Computer Science, Interdisciplinary Applications
Leandro Lima Rasmussen
Summary: The Hybrid Lattice/Discrete Element Method combines two different models to accurately represent the properties of a variety of rock types. The method can handle both homogeneous and heterogeneous materials, providing a direct material calibration scheme. Results show that the method accurately represents the macroscopic properties of rocks.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Chemistry, Analytical
Yingrui Geng, Huanchao Shen, Hongfei Ni, Yunong Tian, Zhenjie Zhao, Yong Chen, Xuesong Liu
Summary: The study proposes an efficient non-supervised parameter-free calibration enhancement method for quality assessment in the tobacco industry. It corrects the effects of moisture and material scattering on spectral absorption in the calibration transfer from dried tobacco powder to undried tobacco samples. Compared to other calibration methods, the proposed method achieves the best prediction results. Additionally, competitive adaptive reweighted sampling, variable combination population analysis, and variable combination population analysis genetic algorithm are employed to select important wavelengths and optimize the calibration effect and transfer efficiency.
MICROCHEMICAL JOURNAL
(2022)
Article
Automation & Control Systems
Lakshmi Alagappan, Jia En Chu, Joanna Huixin Chua, Jia Wen Ding, Ronghui Xiao, Zhe Yu, Kun Pan, Untzizu Elejalde, Kevin Junliang Lim, Limsoon Wong
Summary: In this study, a new classification and correction technique called CSCAC is proposed, which can simultaneously correct batch effects, perform multi-class classification, and detect new classes. The effectiveness of the method is demonstrated through classification experiments on different types of oils.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Plant Sciences
Xin Wu, Guanglin Li, Xinglan Fu, Weixin Wu
Summary: We assessed the robustness of a calibration model for predicting lignin content (LC) in snow pears using a portable near-infrared (NIR) spectrometer. We developed a prediction model using a standard normal variate transformation (SNV)-genetic algorithm (GA) -partial least square regression (PLSR) model and updated it using the sequential SS-FPME method for improved predictive ability. This study provides technical support for the development and practical application of portable detection devices.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Environmental Sciences
Inbo Oh, Mi-Kyoung Hwang, Jin-Hee Bang, Wonho Yang, Soontae Kim, Kiyoung Lee, SungChul Seo, Jiho Lee, Yangho Kim
Summary: This study utilized several hybrid, high-resolution models to simulate the variability of ambient NO2 concentrations in Seoul, South Korea. Results show that observation-fused hybrid models offered improved agreement with mobile measurements, highlighting the potential for enhanced predictive accuracy in air pollutant concentration assessments in complex urban areas.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Agronomy
Lianjie Li, Wenqian Huang, Zheli Wang, Sanqing Liu, Xin He, Shuxiang Fan
Summary: Calibration transfer between two portable Vis/NIR devices for predicting SSC of apples was studied. PLS calibration models based on the spectra of the devices showed high prediction performance. Correction of spectral dimensions using a Hg (Ar) lamp improved transfer performance. PDS method showed better performance in transfer calibration compared with SST and CTCCA.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Zheyu Zhang, Yaoxiang Li, Chunxu Li, Zichun Wang, Ya Chen
Summary: This study proposes a stability-analysis-based feature selection algorithm (SAFS) for improving the calibration transfer of near-infrared spectroscopy (NIR). The SAFS algorithm extracts spectral band information with high stability between master and slave instruments, simplifying the data and improving transfer efficiency. Compared to classical feature selection methods, the SAFS algorithm achieves the best prediction with selected feature variables.
Article
Environmental Sciences
K. C. Abbaspour
Summary: Using parameters from the best-fit simulation to represent a calibrated hydrological model may lead to misleading results, as the best solution's parameters may differ significantly from the next best set. The non-uniqueness of objective function values in calibration poses challenges in interpreting watershed processes accurately, and researchers must consider model output uncertainty to assess calibration/validation effectively.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Instruments & Instrumentation
Ailing Tan, Yunxin Wang, Yong Zhao, Yajie Zuo
Summary: The development of portable near-infrared spectrometer has expanded the applications of Near Infrared Spectroscopy (NIRS). However, existing NIR quantitative models are not applicable to new spectra acquired by different spectrometers, thus model transfer is essential in NIRS technology. This study proposes a deep transfer learning methodology based on a modified one-dimensional Inception Resnet neural network to establish quantitative models for two chemical compositions in sugarcane and demonstrates its transferability between spectrometers.
INFRARED PHYSICS & TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Jun Bin, Zhiguo Wang, Wen Du, Kejun Zhong, Zengping Chen
Summary: Near-infrared diffuse reflectance spectroscopy is a simple, fast, and nondestructive analysis technique widely used in tobacco blending design and maintenance. By establishing calibration transfer models, substitute spectra for a large number of tobacco powder blended samples can be obtained, and the desired properties of tobacco mixtures can be predicted.
ANALYTICAL LETTERS
(2023)
Article
Agronomy
Rongchao Shi, Ling Tong, Risheng Ding, Taisheng Du, Manoj Kumar Shukla
Summary: A 50% water deficit at the vegetative stage shortened the effective grain filling duration and lag phase duration, while a 50% and 100% water deficit at the grain-filling stage decreased kernel weight, plant growth rate per kernel after silking, effective grain filling duration, and kernel growth rate during effective grain filling. The KW-water model performed well in predicting the kernel weight of hybrid maize seed production under different irrigation treatments, providing a quantitative method for modeling seed production considering the source-sink relationship under different water regimes in arid areas.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Biotechnology & Applied Microbiology
Ying Ning, Li-Yuan Zhang, Jing Mai, Jia-En Su, Jie-Yun Cai, Yi Chen, Yong-Lei Jiang, Ming-Jun Zhu, Bin-Bin Hu
Summary: The study found that microbial fermentation can significantly improve the quality of tobacco, enhancing the texture and appearance of tobacco products. Compared to traditional natural fermentation, microbial fermentation has higher economic efficiency and shorter time cycle. The research also identified Bacillus subtilis B1 and Cytobacillus oceanisediminis C4 as key strains that can alter the chemical composition of tobacco and improve its texture and appearance.
BIORESOURCES AND BIOPROCESSING
(2023)
Article
Instruments & Instrumentation
Zengrun Wen, Xiulin Fan, Kaile Wang, Weiming Wang, Song Gao, Wenjing Hao, Yuanmei Gao, Yangjian Cai, Liren Zheng
Summary: This study presents a transition from Q-switched state to continuous wave state in an erbium-doped fiber laser, accompanied by irregular mode-hopping. The results showed that the transition between these two states can be achieved by adjusting the pump power. Modulation peaks were observed on both the Q-switched pulse train and the continuous wave background, and the central wavelength fluctuated.
INFRARED PHYSICS & TECHNOLOGY
(2024)