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
Food Science & Technology
Mengyao Wang, Jiawei Liu, Lu Huang, Haiying Liu
Summary: In this study, LP-165 and CSA were used to improve the fermentation process of Apo pickle, and the fermentation process was successfully classified into four phases. The results showed that CSA could quickly detect the fermentation of pickles.
Article
Engineering, Chemical
Lin Xuan You, Junghui Chen
Summary: To achieve desired product qualities, monitoring the operational status is necessary. Traditional multivariate statistical process control techniques are not suitable for monitoring unevenly distributed process data. This study proposes the use of a multilocal partial least-squares (ML-PLS) model to monitor a wide operation process.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Xiangqian Yu, YongFu Wang, Chijie Xiao, Si Liu, QiuGang Zong, YaNan Qu, HongFei Chen, Hong Zou, WeiHong Shi, Ao Chen, SiYu Song, Shuang Gao, SiPei Shao
Summary: Calibration of a magnetic sensor array is crucial, but there is currently a lack of explicit calibration methods. This study proposed a new calibration method based on the least-squares method, using magnetic fields produced by a standard magnetic source at different locations to calibrate the sensor array. Both simulation and experimental results show the effectiveness of this method in identifying the calibration factor of a magnetic sensor array.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
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
Multidisciplinary Sciences
Freeh N. Alenezi
Summary: The study introduces a method for variable selection in high dimensional data modeling, using majority scoring with backward elimination in PLS to improve prediction accuracy. The method performs well in predicting corn and diesel contents, while also examining the impact of data properties on prediction behavior.
SCIENTIFIC REPORTS
(2021)
Article
Agronomy
Puneet Mishra, Ernst Woltering, Bastiaan Brouwer, Esther Hogeveen-van Echtelt
Summary: Combining variable selection and model updating with recalibration approaches significantly improved the predictive models for quality parameters of pear fruit. Variable selection reduced bias and enhanced accuracy compared to standard partial least-squares regression.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Marina Antonio, Renato L. Carneiro, Ruben M. Maggio
Summary: This study evaluated the feasibility of using middle- and near-infrared spectroscopy, as well as Raman spectroscopy, coupled with multivariate calibration to quantify MLXForm I in commercial raw material. The results showed that NIR-PLS had the best predictive capacity.
MICROCHEMICAL JOURNAL
(2022)
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
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Limin Li, Xiaojing Chen
Summary: In this study, a new robust PLS method called partial least median of squares (PLMS) regression is proposed by incorporating the idea of least median of squares. Unlike most existing robust methods, the PLMS problem is solved using modern optimization techniques rather than heuristic processes or reweighting strategies. Comparisons are made with a classical PLS method and two efficient robust PLS methods, demonstrating the effectiveness and robustness of the proposed approach through simulations and real-world data sets.
JOURNAL OF CHEMOMETRICS
(2022)
Article
Food Science & Technology
Hao Lin, Hao Jiang, Jinjin Lin, Quansheng Chen, Shujat Ali, Shyh Wei Teng, Min Zuo
Summary: Two methods, VNIRS and VNIRS-CSA, were used to identify volatile compound changes in rice samples stored for 0 to 6 months. The VNIRS-CSA showed better performance, making it a quick and accurate method for monitoring rice storage time.
FOOD ANALYTICAL METHODS
(2021)
Article
Biochemical Research Methods
Qing Huang, Heru Xue, Jiangping Liu, Xinhua Jiang
Summary: This paper proposes a wavelength selection algorithm based on ant colony optimization (ACO), which evaluates the importance of wavelengths using the regression coefficients of a multiple linear regression (MLR) model. The algorithm incorporates crossover operators and a genetic algorithm (GA) to improve its performance. Experimental results show that the proposed algorithm effectively selects important wavelengths and improves the prediction accuracy of the model.
JOURNAL OF SPECTROSCOPY
(2022)
Article
Thermodynamics
Loubna Bouselham, Abdelhamid Rabhi, Bekkay Hajji, Adel Mellit
Summary: This paper presents an experimental analysis and validation of a simple reconfigurable photovoltaic (PV) array, and introduces a new reconfiguration method based on fuzzy logic under partial shading conditions. Additionally, a recursive least squares based irradiance estimator is proposed to reduce the investment cost of the dynamic PV array. Experimental comparison shows the high precision of the proposed estimator and validates the FL Controller's ability to switch to the appropriate configuration under shading conditions.
Article
Computer Science, Artificial Intelligence
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: Partial least squares (PLS) is effective for high-dimensional regression problems. It was developed based on empirical risk minimization and assumes that the test and training data are drawn from the same distribution. Subsampling via an influence function is a promising technique to address the violation of this assumption.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Chemistry, Applied
M. Graca Dias, Elsa Vasco, Francisco Ravasco, Lufsa Oliveira
Summary: This study estimated the vitamin D intake of "adults" and "elderly" populations in Portugal using the TDS methodology. The results showed that the majority of people had inadequate vitamin D intake, well below the Dietary Reference Values.
Article
Chemistry, Applied
Yanan Wang, Jiachen Shi, Yong-Jiang Xu, Chin-Ping Tan, Yuanfa Liu
Summary: This study investigates the variations in lipid digestion profiles among individuals of different ages using in vitro digestion models. The findings suggest that adults have a more comprehensive lipid digestion compared to infants, and infants tend to release shorter chain length and more saturated free fatty acids during digestion. Additionally, the particle sizes in the stomach of the elderly were consistently larger. This study enhances our understanding of how lipids with different degrees of unsaturation undergo digestion in diverse age groups.
Article
Chemistry, Applied
Hyunjong Yu, Huisu Kim, Pahn-Shick Chang
Summary: Chitosan-pectin emulsion-filled hydrogel (EFH) was developed to enhance the bioaccessibility of lipophilic bioactive compounds through intestinal delivery. The EFH, prepared without crosslinking agents, demonstrated improved mechanical strength and compactness with higher pectin concentration. It retained the emulsion at pH 2.0 and released it at pH 7.4, resulting in enhanced release of free fatty acids and improved bioaccessibility of curcumin.
Article
Chemistry, Applied
Tongze Zhang, Siqi Hong, Jia-Rong Zhang, Pin-He Liu, Siyi Li, Zixian Wen, Jianwei Xiao, Guirong Zhang, Olivier Habimana, Nagendra P. Shah, Zhongquan Sui, Harold Corke
Summary: Lactic acid fermentation significantly affects the morphology and physicochemical properties of proso millet starch, including the formation of surface indentations and small pores, decrease in gelatinization temperatures, and changes in hardness and adhesiveness.
Article
Chemistry, Applied
Liqin Kong, Feng Hong, Peng Luan, Yiping Chen, Yaoze Feng, Ming Zhu
Summary: This study presents a novel impedance biosensor using composite nanomaterials and T1R1 as a signal probe, which can competitively and ultra-sensitively detect umami intensity. The biosensor exhibits exceptional analytical performance and is suitable for food flavor evaluation.
Article
Chemistry, Applied
Kunying Lv, Yixin Yang, Qilong Li, Ran Chen, Liang Deng, Yiwei Zhang, Ning Jiang
Summary: Horse's milk, with its high nutritional value and low allergenic proteins, could be a substitute for cow's milk in infant consumption. A proteomic method was used to identify and compare milk fat globule membrane (MFGM) and whey proteins from different horse breeds. The study found differences in protein composition and functionality, which could support the development of formulas more suitable for human infants.
Article
Chemistry, Applied
Enrique Jacobo Diaz-Montana, Helene Brignot, Ramon Aparicio-Ruiz, Thierry Thomas- Danguin, Maria Teresa Morales
Summary: Sensory perception of virgin olive oil is influenced by phenols and volatiles, which are affected by the composition of the oil and biological factors. This study investigated the effect of saliva and phenols on the release of volatiles, and found that the presence of phenols decreased the release of saturated volatiles.
Article
Chemistry, Applied
Wei Zhou, Rui Zhang, Zhen Cai, Fangfang Wu, Yong Hu, Chao Huang, Kun Hu, Yun Chen
Summary: Environmentally friendly and outstanding pH-responsive cationic starch nanoparticles (CSNP) were prepared from pH-sensitive starch. CSNP exhibited nanosize and regular sphere, highly free-flowing molecular chains, and demonstrated excellent pH responsiveness through multiple emulsion/demulsification transitions.
Article
Chemistry, Applied
Andrea Koo, Vinayak Ghate, Weibiao Zhou
Summary: This study suggests that direct seeding may negatively affect the nutritional quality of crops, causing a decrease in ascorbic acid, vitamin K, and total glucosinolate content.
Article
Chemistry, Applied
Tonghao Du, Yazhou Xu, Xiaoyan Xu, Shijin Xiong, Linli Zhang, Biao Dong, Jinqing Huang, Tao Huang, Muyan Xiao, Tao Xiong, Mingyong Xie
Summary: This study successfully improved the ACE inhibitory activity of black sesame seeds by fermenting them with Lactobacillus Plantarum NCU116 and hydrolyzing them using acid protease. The RF-PSO model was used to predict the ACE inhibitory activity during the hydrolysis process. Eight peptides with ACE inhibitory activity were identified from fermented black sesame seed hydrolysates after separation and screening.
Article
Chemistry, Applied
Yao Liu, Songyi Lin, Kexin Liu, Shan Wang, Qiaozhen Liu, Na Sun
Summary: This study analyzed the structural changes of shrimp proteins during digestion, predicted the immunodominant epitopes, and validated their allergenicity. The results showed that shrimp proteins were degraded into peptides during digestion, but still carried IgE epitopes that trigger allergic reactions.
Article
Chemistry, Applied
Tiantian Fu, Hongwei Cao, Yu Zhang, Xiao Guan
Summary: This study investigates the impact of milling on the active components in rice, with a focus on the stability and bioaccessibility of phenols, VB1, and alpha-GABA during cooking and digestion. The findings show that milling exacerbates the instability of gamma-GABA during cooking and VB1 during digestion, and it affects the bioaccessibility of these active compounds.
Article
Chemistry, Applied
Zhihao Yang, Yanru Hou, Min Zhang, Puxin Hou, Chang Liu, Lu Dou, Xiaoyu Chen, Lihua Zhao, Lin Su, Ye Jin
Summary: This study investigated the molecular mechanism of feeding regimes on lamb flavor by using TMT labeling combined with MS. The results showed that pasture-fed groups had higher levels of amino acids and volatile flavor substances compared to concentrate-fed groups. Additionally, several differentially abundant proteins associated with lamb flavor were identified.
Article
Chemistry, Applied
Zixuan Xie, De Zhang, Junyu Zhu, Qianqian Luo, Jun Liu, Jingtao Zhou, Xiaoyong Wang, Yuqiong Chen, Zhi Yu, Dejiang Ni
Summary: This study investigated the acidification of aroma-enhanced black tea during storage. Analysis of non-volatile substances and organic acids using UPLC-Q-TOF/MS and HPLC revealed a decrease in soluble sugars and amino acids, while an increase in organic acids such as oxalic acid, malic acid, and quinic acid. In vitro experiments further demonstrated that the acidification is a result of the decomposition of sugars and amino acids by heating, as well as the oxidation of aromatic aldehydes. Additionally, the study showed that the taste composition of tea infusion is altered, with reduced amino acids, catechins, soluble sugars, and flavonoids. This research provides a theoretical basis for improving the quality of black tea.
Article
Chemistry, Applied
Lin Wang, Falai Ma, Zihan Li, Yan Zhang
Summary: This study developed time-temperature integrators based on amyloglucosidase@Cu3(PO4)2 nanoflowers for monitoring the freshness of chilled pork. The results showed that the integrators were highly reliable and accurate in predicting the quality of chilled pork.