Article
Food Science & Technology
Lei-Ming Yuan, Lifan You, Xiaofeng Yang, Xiaojing Chen, Guangzao Huang, Xi Chen, Wen Shi, Yiye Sun
Summary: A strategy of fusing consensus models based on the genetic algorithm was proposed to measure the soluble solids content in peaches. The consensus models achieved better performance in predicting the SSC of peaches compared to traditional optimized models.
Article
Food Science & Technology
Xinxin Zhang, Shangke Li, Yang Shan, Pao Li, Liwen Jiang, Xia Liu, Wei Fan
Summary: This study uses a near-infrared diffuse reflectance spectroscopy system to accurately determine the soluble solids content of citrus without causing damage. The results show that the NIRDRS light can penetrate the thick peel to some extent, and the selection of specific characteristic variables can improve the accuracy of the quantitative analysis models with fewer variables.
JOURNAL OF FOOD PROCESSING AND PRESERVATION
(2022)
Article
Agriculture, Dairy & Animal Science
Fang-Li Qin, Xin-Chun Wang, Si-Ran Ding, Guang-Sheng Li, Zhuo-Cheng Hou
Summary: This study successfully developed a fast method for measuring the fat content of Peking duck using near-infrared spectroscopy, which demonstrated good predictive abilities.
Article
Engineering, Chemical
Abdoulah Ly, Ines Esma Achouri, Ryan Gosselin, Nicolas Abatzoglou
Summary: This study converted a lab-scale fluidized bed dryer into a fluidized bed foam granulator and dryer, developed a partial least squares regression model for monitoring granules water content, and provided sufficient evidence of the feasibility of the fluidized bed foam granulation process.
CHEMICAL ENGINEERING SCIENCE
(2022)
Article
Spectroscopy
Weibin Wang, Haixu Dou, Gaofeng Zhang, Liang Xie, Zhaoxuan Wang, Guodong Deng
Summary: This study focused on the simultaneous monitoring of insensitive agent content in double-base oblate spherical propellant using near-infrared spectroscopy and partial least squares, resulting in high-performance prediction models. The developed method demonstrated high accuracy and excellent predictive ability, making it a better option for quality control in the large-scale production of DOSP.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Environmental Sciences
Guo Jiang, Xi Chen, Jinlin Wang, Shanshan Wang, Shuguang Zhou, Yong Bai, Tao Liao, He Yang, Kai Ma, Xianglian Fan
Summary: Rock geochemical methods are time-consuming and costly. This study explores the potential of using visible-near-infrared spectroscopy to estimate metal element content in rocks. Several factors were investigated including spectral resolution, preprocessing, band indices, and characteristic band selection. The results show that using band indices can provide a more accurate estimation of metal element content, providing a new technical method for efficient acquisition of regional mineralization indicator element content distribution.
Article
Chemistry, Applied
Ulisses F. Oliveira, Annanda M. Costa, Jussara Roque, Wilson Cardoso, Sergio Y. Motoike, Marcio H. P. Barbosa, Reinaldo F. Teofilo
Summary: A method for early quantification of unripe macaw fruits oil content using near-infrared spectroscopy and partial least squares was proposed, which could accurately predict the oil content within 30 days after fruit harvest, thus reducing the costs of quality control and storage for macaw palm.
Article
Materials Science, Textiles
Shuo Yang, Zi-niu Zhao, Hui Yan, Heinz W. Siesler
Summary: Handheld NIR spectrometers are suitable tools for detecting cotton adulteration in silk materials, although their prediction performance is slightly lower compared to benchtop instruments.
TEXTILE RESEARCH JOURNAL
(2022)
Article
Chemistry, Multidisciplinary
Liwei Zhu, Rebecca Njeri Damaris, Yong Lv, Qianxi Du, Taoxiong Shi, Jiao Deng, Qingfu Chen
Summary: This article introduces a model established using near-infrared reflectance spectroscopy combined with quantitative partial least squares method to test the content of leucine and tyrosine in Golden Tartary buckwheat leaves, providing important scientific basis for the breeding and processing of Golden Tartary buckwheat.
APPLIED SCIENCES-BASEL
(2022)
Article
Food Science & Technology
Annelisa Arruda de Brito, Fernanda Campos, Abadia dos Reis Nascimento, Gilmarcos de Carvalho Correa, Flavio Alves da Silva, Gustavo Henrique de Almeida Teixeira, Luis Carlos Cunha Junior
Summary: This study utilized partial least square models and near-infrared spectroscopy to analyze tomatoes from different regions, resulting in accurate prediction models for solid content in tomatoes.
Article
Chemistry, Analytical
Wen Xiao-Yan, Xu Yan-Yan, Li Mao-Gang, Zhang Tian-Long, Tang Hong-Sheng, Li Hua
Summary: The study investigated the transfer performance of NIR spectrometry quantitative analysis model for methanol gasoline based on the PDS algorithm. The results showed that the PDS-PLS model had a significant improvement in prediction performance compared to other PLS models, indicating it is a simple and efficient model transfer method for NIR quantitative analysis of methanol gasoline.
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
(2021)
Article
Spectroscopy
Gerard Dumancas, Indra Adrianto
Summary: This study developed a stacked regression ensemble approach using near infrared spectroscopic method for accurate determination of biomass compositional analyses. The performance of various machine learning techniques was compared, and the stacked regression outperformed other methods, providing a more accurate prediction of biomass compositions.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Automation & Control Systems
Bianca Mikulasek, Valeria Fonseca Diaz, David Gabauer, Christoph Herwig, Ramin Nikzad-Langerodi
Summary: This paper introduces the mdi-PLS method, which is a generalization of the recently introduced di-PLS method. Unlike di-PLS, which allows knowledge transfer between a single source and target domain, mdi-PLS can incorporate data from multiple domains. It also offers flexibility by accepting both labeled and unlabeled data to handle dataset shifts. The application of mdi-PLS on simulated and real-world datasets demonstrates its outperformance compared to PLS and di-PLS, highlighting the benefits of mdi-PLS when training multivariate calibration models on related domains.
JOURNAL OF CHEMOMETRICS
(2023)
Article
Spectroscopy
Pauline Ong, Suming Chen, Chao-Yin Tsai, Yung-Kun Chuang
Summary: In this study, near-infrared spectroscopy was used for non-destructive determination of theanine in oolong tea. The flower pollination algorithm (FPA) was utilized for selecting discriminative wavelengths for partial least squares regression (PLSR), resulting in improved predictive performance and reduced model complexity. The optimized model using FPA outperformed other wavelength selection methods and showed potential for enhancing predictability of PLSR.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Analytical
Katarzyna Wlodarska, Pawel Piasecki, Ana Lobo-Prieto, Katarzyna Pawlak-Lemanska, Tomasz Gorecki, Ewa Sikorska
Summary: This study evaluated and compared the potential of different optical spectroscopic techniques for quality assessment of apple juices. Calibration models based on NIR spectra of fruit showed high predictive ability for certain quality parameters, while models based on juice spectra performed best for others. The results provide insights for the development of fast quality control methods for juices.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Analytical
Yujia Ying, Huilin Li
Summary: Enzymes play a crucial role as biological catalysts in accelerating biochemical reactions in living organisms. This study proposes a convenient method for monitoring enzymatic catalytic processes using native top-down mass spectrometry. By exploring the heterogeneity of the chymotrypsin sample and using tandem mass spectrometry, the researchers were able to monitor covalent and noncovalent enzymatic complexes, substrates, and products during catalysis. The results demonstrate that this method has the potential to be a promising tool for characterizing biocatalysts.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Kang Yang, Shuaibo Shi, Jinyu Wu, Shaolong Han, Shengdi Tai, Shishen Zhang, Kun Zhang
Summary: H2O and D2O are important analogues closely related to various industries and monitoring fields. This study successfully distinguishes and detects H2O and D2O by designing a novel eu(III)-macrocycle with dual emitters, Eu-2a, and conducting fluorescence titration experiments.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Julia Kuligowski, Alvaro Perez-Rubio, Marta Moreno-Torres, Polina Soluyanova, Judith Perez-Rojas, Ivan Rienda, David Perez-Guaita, Eugenia Pareja, Ramon Trullenque-Juan, Jose Castell, Marcha Verheijen, Florian Caiment, Ramiro Jover, Guillermo Quintas
Summary: This study introduces a novel variable selection approach called cluster PLS (c-PLS) to assess the joint impact of variable groups selected based on biological characteristics on the predictive performance of a multivariate model. The usefulness of c-PLS is shown using miRNomic and metabolomic datasets obtained from the analysis of liver tissue biopsies.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Meixue Lai, Lijie Zhong, Siyi Liu, Yitian Tang, Tingting Han, Huali Deng, Yu Bao, Yingming Ma, Wei Wang, Li Niu, Shiyu Gan
Summary: This study presents a method for constructing wearable sweat electrolyte sensors using carbon fiber-based solid-contact ion-selective electrodes (SC-ISEs). By using carbon fibers extracted from commercial cloth as electrode material, the cost and reproducibility issues of flexible SC-ISEs were addressed. The results showed that the carbon fiber-based SC-ISEs exhibited reversible voltammetric and stable impedance performances, and had high reproducibility of standard potentials between normal and bending states.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Yang, Ying Liu, Min Deng, Peipei Wang, Dan Cheng, Songjiao Li, Longwei He
Summary: A near-infrared fluorescent probe has been developed to accurately measure the levels of peroxynitrite (ONOO-) in the endoplasmic reticulum (ER) in acute lung injury (ALI). The probe demonstrated rapid response, high selectivity, good sensitivity, and enhanced fluorescence intensity in response to ONOO-. It was successfully used to detect changes in ONOO- levels and showed significant increases in an ALI cell model and an ALI mouse model.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yanping Wang, Yuemei Chen, Kejun Li, Jinrong Zhou, Xin Yuan, Mei Zhang, Ke Huang
Summary: In this work, a portable analytical system based on point discharge chemical vapor generation atomic emission spectrometry (PD-CVG-AES) coupling with gold filament enrichment was designed. The highly sensitive analysis of Hg2+ indirectly realized the detection of ascorbic acid (AA). The measurement is based on the fact that Ag+ can decrease the concentration of Hg2+ by forming Ag-Hg amalgam in the presence of the reductant SnCl2, while AA can pre-reduce Ag+ to Ag0, leading to the generation of silver nanoparticles (Ag NPs). The developed novel analytical strategy broadens the application of microplasma-based AES and offers a higher level of sensitivity compared to current AA detection techniques.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yundi Huang, Bo Song, Kaiwen Chen, Deshu Kong, Jingli Yuan
Summary: This study developed two lysosome-targetable background-free TGL probes for efficient and accurate detection of 1O2, which can be used for monitoring endogenous 1O2 concentrations in lysosomes and discriminating variability induced by different photosensitizers. Furthermore, a smart luminescent sensor film was successfully prepared for on-site 1O2 production detection during PDT processes, offering a promising clinical monitoring tool for skin diseases.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Wei Lang, Jia-Mei Qin, Qian-Yong Cao
Summary: A novel polymer-based probe P1 was successfully synthesized for fluorescently ratiometric sensing of H2S with high selectivity and sensitivity. A smartphone sensing platform was constructed to conduct visual quantitative detection of H2S. P1 can be employed in evaluating the level fluctuations of H2S in living cells, testing water samples/wine samples, and monitoring food freshness.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yuanyuan Qin, Shuda Liu, Shuyun Meng, Dong Liu, Tianyan You
Summary: The study developed a split aptamer-based sandwich-type ratiometric biosensor for the detection of 17 beta-estradiol (E2) using photoelectrochemical and electrochemical assays. The biosensor utilized split aptamer fragments to recognize E2 and trigger a hybridization chain reaction, resulting in the production of double-stranded DNA labeled with CdTe quantum dots. This DNA complex was able to sensitize CdTe quantum dots and generate response signals for E2 detection. The developed biosensor demonstrated high sensitivity and accuracy with two linear ranges and low detection limits.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Siriwan Teepoo, Jongjit Jantra, Khaunnapa Panapong, David Taiwo Ajayi
Summary: A novel immunochromatographic assay based on hyperbranched Au plasmonic blackbodies with a smartphone readout was developed for rapid and sensitive detection of leucomalachite green residues in fish and shrimp products.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Andrea L. Larraga-Urdaz, Borja Moreira-Alvarez, Jorge Ruiz Encinar, Jose M. Costa-Fernandez, Maria Luisa Fernandez-Sanchez
Summary: A major challenge in the 21st century is the development of point-of-care diagnostic tools. In this study, a highly sensitive and simple bioassay using AuNPs and MNAzymes was developed for rapid detection and quantification of miRNA-4739. The proposed strategy shows potential for breast cancer diagnosis.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Xiaohan Zhao, Anyu Wang, Lingzi Zhai, Jiuhe Gao, Sizhe Lyu, Yingshan Jiang, Tian Zhong, Ying Xiao, Xi Yu
Summary: A novel method using polystyrene-coated magnetic nanoparticles for extracting monohydroxy polycyclic aromatic hydrocarbons from urine samples was investigated. The proposed method is simple, sensitive, and efficient, with desirable sensitivity for analyzing low-abundance metabolites in large volumes of complex urine samples.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Quan, Yuqing Zeng, Wenke Zhang, Fengfeng Li, Mengjiao Li, Zhihe Qing, Linlin Wu
Summary: In this study, a visual and reusable biosensor was developed for detecting substrates that are closely associated with human physiological health. The immobilized oxidase showed higher stability and sensitivity under harsh conditions, enabling reliable detection of substrates in complex fluids.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Dongjuan Wang, Xiuqian Ding, Jinling Xie, Juan Wang, Guanhao Li, Xin Zhou
Summary: In this study, a three-in-one sensor was developed for real-time detection of biogenic amines (BAs) with high sensitivity and selectivity. The sensor showed multimodal responses and could be used to fabricate portable devices for on-site non-destructive assessment of food spoilage indicators.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Jinting Meng, Zihao Xu, Shasha Zheng, Hongqun Yang, Tianfu Wang, Hong Wang, Yingwei Zhang
Summary: This study demonstrates the development of a cascade signal amplification system using a multi-pedal DNA walker and strand displacement reactions for the electrochemical detection of miRNA-155. The biosensor exhibited high sensitivity, selectivity, and the potential for clinical applications.
ANALYTICA CHIMICA ACTA
(2024)