Corrigendum to “Sensing Hypochlorite or pH variations in live cells and zebrafish with a novel dual-functional ratiometric and colorimetric chemosensor” [Spectrochim. Acta Part A: Mol. Biomol. Spectrosc. 271 (2022) 120915]

Chen, Hong; Luo, Jianmin; Chen, Shijin; Qi, Yueheng; Zhou, Tong; Tian, Xiumei; Ding, Feng

doi:10.1016/j.saa.2022.121554

Cited by 13 publications

(15 citation statements)

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“…As a result, to classify FT‐IR spectra data, a combination of PCA, LDA, and SVM was used (SVM algorithm of RBF function is adopted), all procedures were implemented with MATLAB language (MATLAB R2021a software). To train and evaluate the classification model, we randomly classified the spectra data into a 70% training group, and a 30% validation group [30]. The definitions of the terms used to compare the accuracy, sensitivity, and specificity of various models are shown below, where TP stands for the number of true positives, FP for false positives, TN for true negatives, and FN for false negatives [31].…”

Section: Methodsmentioning

confidence: 99%

Rapid and accurate screening of cystic echinococcosis in sheep based on serum Fourier‐transform infrared spectroscopy combined with machine learning algorithms

Dawuti

Dou

Zheng

et al. 2023

Journal of Biophotonics

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Cystic echinococcosis (CE) in sheep is a serious zoonotic parasitic disease caused by Echinococcus granulosus sensu stricto (s.s.). Presently, the screening technology for CE in sheep is time-consuming and inaccurate, and novel screening technology is urgently needed. In this work, we combined machine-learning algorithms with Fourier transform infrared (FT-IR) spectroscopy of serum to establish a quick and accurate screening approach for CE in sheep. Serum samples from 77 E. granulosus s.s.-infected sheep to 121 healthy control sheep were measured by FT-IR spectrometer. To optimize the classification accuracy of the serum FI-TR method for the E. granulosus s.s.-infected sheep and healthy control sheep, principal component analysis (PCA), linear discriminant analysis, and support vector machine (SVM) algorithms were used to analyze the data.Among all the bands, 1500-1700 cm À1 band has the best classification effect; its diagnostic sensitivity, specificity, and accuracy of PCA-SVM were 100%, 95.74%, and 96.66%, respectively. The study showed that serum FT-IR spectroscopy combined with machine learning algorithms has great potential for rapid and accurate screening methods for the CE in sheep.

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Section: Methodsmentioning

confidence: 99%

Rapid and accurate screening of cystic echinococcosis in sheep based on serum Fourier‐transform infrared spectroscopy combined with machine learning algorithms

Dawuti

Dou

Zheng

et al. 2023

Journal of Biophotonics

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“…The electronic structure of BD before and after protonation was calculated and analyzed using the Gaussian 09 W program. 25,26 All molecular structures were structurally optimized during calculations using density functional theory (DFT) and time-dependent DFT (TD-DFT), respectively. Firstly, the geometry of the ground state (S 0 ) of BD before and after protonation was optimized by PBE1PBE/6-311 g(d) opt scrf = solvent = water, and the electronic structure at the ground state was obtained.…”

Section: Theoretical Calculation Of H + Response Mechanismmentioning

confidence: 99%

A benzimidazole-based ratiometric fluorescent probe for the accurate and rapid monitoring of lysosomal pH in cell autophagy and anticounterfeiting

Wen

Huang

et al. 2022

Analyst

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“…[21,22] Donor-acceptor TPA derivatives displayed excellent solvatofluorochromism behavior. [23] Therefore, herein we have synthesized triphenylamine donor integrated terpyridine acceptor that showed strong fluorescence in solution as well as solid state. Further, the intermolecular hydrogen bonding character of terpyridine unit is made use to demon-strate sensing of methanol in presence of ethanol and biodiesel Scheme 1.…”

Section: Introductionmentioning

confidence: 99%

“…Triphenylamine (TPA) derivatives are utilized for developing aggregation induced/aggregation induced enhanced emissive materials and stimuli‐responsive smart fluorescent materials [21,22] . Donor‐acceptor TPA derivatives displayed excellent solvatofluorochromism behavior [23] . Therefore, herein we have synthesized triphenylamine donor integrated terpyridine acceptor that showed strong fluorescence in solution as well as solid state.…”

Section: Introductionmentioning

confidence: 99%

Fluorometric Detection of Methanol by Using Triphenylamine Fluorophore Tethered Terpyridine Probe

et al. 2023

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Triphenylamine appended terpyridine donor‐acceptor fluorescent probe (TPA‐TP) exhibited specific detection of methanol in presence of other volatile organic compounds, such as benzene, ethanol and biodiesel were described. The role of the terpyridine group in the TPA‐TP toward methanol detection has been demonstrated. The detection mechanism origins from s‐trans to s‐cis and vice‐versa conformational change facilitated by hydrogen bonding interactions between TPA‐TP and methanol. Besides, TPA‐TP coated Whatman filter paper based strip was evaluated for detection of methanol from benzene prepared my means of practical and versatile applications of methanol detection. Thus, TPA‐TP was demonstrated as a sensitive, selective, and inexpensive probe for methanol detection over benzene, ethanol and biodiesel by naked‐eye and fluorescence spectroscopy methods.

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Corrigendum to “Sensing Hypochlorite or pH variations in live cells and zebrafish with a novel dual-functional ratiometric and colorimetric chemosensor” [Spectrochim. Acta Part A: Mol. Biomol. Spectrosc. 271 (2022) 120915]

Cited by 13 publications

References 0 publications

Rapid and accurate screening of cystic echinococcosis in sheep based on serum Fourier‐transform infrared spectroscopy combined with machine learning algorithms

Rapid and accurate screening of cystic echinococcosis in sheep based on serum Fourier‐transform infrared spectroscopy combined with machine learning algorithms

A benzimidazole-based ratiometric fluorescent probe for the accurate and rapid monitoring of lysosomal pH in cell autophagy and anticounterfeiting

Fluorometric Detection of Methanol by Using Triphenylamine Fluorophore Tethered Terpyridine Probe

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