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Detecting the phase transitions of tert-butanol hydrate by terahertz spectroscopy 利用太赫兹光谱检测叔丁醇水合物的相变。
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-28 DOI: 10.1016/j.saa.2024.125319
Yuyue Yan , Liyuan Liu , Guanhua Ren , Xueqian Zhang , Chunmei Ouyang , Hongwei Zhao , Jiaguang Han
The co-solvent system of tert-butanol and water is commonly employed in the field of freeze-drying pharmaceuticals. Investigating the phase composition and behavior of this system at low temperatures contributes to furthering its applications. In this study, THz-TDS was used to investigate the melting process of the frozen tert-butanol-water binary system for the first time. Utilizing the THz fingerprint peaks, we discovered that following the initial freezing, the system only formed metastable dihydrate tert-butanol, but near the melting point, it transformed into stable heptahydrate tert-butanol. This transition did not occur at high tert-butanol contents. Combining DFT calculations, all observed absorption peaks were attributed to the low-frequency vibration modes of each crystal. A phase diagram of the tert-butanol-water binary system was constructed based on the difference in absorbance intensity between the solid and liquid phases. The results demonstrate the potential of THz spectroscopy for applications in pharmaceutical freeze-drying.
叔丁醇和水的共溶剂系统通常用于冷冻干燥药品领域。研究该体系在低温下的相组成和行为有助于促进其应用。本研究首次使用 THz-TDS 研究了冷冻叔丁醇-水二元体系的熔化过程。利用太赫兹指纹峰,我们发现在初始冻结后,该体系只形成了可蜕变的二水合叔丁醇,但在接近熔点时,它转变为稳定的七水合叔丁醇。这种转变在叔丁醇含量较高时不会发生。结合 DFT 计算,所有观测到的吸收峰都归因于每种晶体的低频振动模式。根据固相和液相之间吸收强度的差异,构建了叔丁醇-水二元体系的相图。这些结果证明了太赫兹光谱技术在药物冷冻干燥领域的应用潜力。
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引用次数: 0
Accuracy of COVID-19 diagnostic tests via infrared spectroscopy: A systematic review and meta-analysis 通过红外光谱进行 COVID-19 诊断测试的准确性:系统回顾和荟萃分析
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-28 DOI: 10.1016/j.saa.2024.125337
Alexandre de Fátima Cobre , Mariana Millan Fachi , Karime Zeraik Abdalla Domingues , Raul Edison Luna Lazo , Luana Mota Ferreira , Fernanda Stumpf Tonin , Roberto Pontarolo
This study aims to synthesize the evidence on the accuracy parameters of COVID-19 diagnosis methods using infrared spectroscopy (FTIR). A systematic review with searches in PubMed and Embase was performed (September 2023). Studies reporting data on test specificity, sensitivity, true positive, true negative, false positive, and false negative using different human samples were included. Meta-analysis of accuracy estimates with 95 % confidence intervals and area under the ROC Curve (AUC) were conducted (Meta-Disc 1.4.7). Seventeen studies were included – all of them highlighted regions 650–1800 cm−1 and 2300–3900 cm−1 as most important for diagnosing COVID-19. The FTIR technique presented high sensitivity [0.912 (95 %CI, 0.878–0.939), especially in vaccinated [0.959 (CI95 %, 0.908–0.987)] compared to unvaccinated [0.625 (CI95 %, 0.584–0.664)] individuals for COVID-19. Overall specificity was also high [0.886 (95 %CI, 0.855–0.912), with increased rates in vaccinated [0.884 (CI95 %, 0.819–0.932)] than in unvaccinated [0.667 (CI95 %, 0.629–0.704)] patients. These findings reveal that FTIR is an accurate technique for detecting SARS-CoV-2 infection in different biological matrices with advantages including low cost, rapid and environmentally friendly with minimal preparation analyses. This could lead to an easy implementation of this technique in practice as a screening tool for patients with suspected COVID-19, especially in low-income countries.
本研究旨在综合利用红外光谱(FTIR)分析 COVID-19 诊断方法准确性参数的证据。我们在 PubMed 和 Embase 中进行了系统性检索(2023 年 9 月)。纳入了使用不同人体样本报告检验特异性、灵敏度、真阳性、真阴性、假阳性和假阴性数据的研究。对带有 95% 置信区间和 ROC 曲线下面积 (AUC) 的准确度估计值进行了元分析(Meta-Disc 1.4.7)。共纳入 17 项研究,所有研究都强调 650-1800 cm-1 和 2300-3900 cm-1 区域对诊断 COVID-19 最为重要。傅立叶变换红外技术对 COVID-19 的灵敏度较高[0.912(95 %CI,0.878-0.939)],尤其是接种过疫苗的人[0.959(CI95 %,0.908-0.987)],而未接种过疫苗的人[0.625(CI95 %,0.584-0.664)]。总体特异性也很高[0.886 (95 %CI, 0.855-0.912)],接种疫苗的患者[0.884 (CI95 %, 0.819-0.932)]比未接种疫苗的患者[0.667 (CI95 %, 0.629-0.704)]的特异性更高。这些研究结果表明,傅立叶变换红外光谱是检测不同生物基质中 SARS-CoV-2 感染的一种准确技术,具有成本低、快速、环保、只需少量准备分析等优点。因此,在实践中,特别是在低收入国家,可以很容易地采用这种技术作为筛查疑似 COVID-19 患者的工具。
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引用次数: 0
Theoretical investigation on the surrounding effects of second-order nonlinear properties for (N^C^N)Pt(II)Cl complexes 关于(N^C^N)Pt(II)Cl 复合物二阶非线性特性周围效应的理论研究
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-28 DOI: 10.1016/j.saa.2024.125338
Huiying Wang, Feiwu Chen
Pt(II) complexes are widely used as nonlinear optical (NLO) materials. The geometric and electronic structures, second-order NLO property and UV–Vis absorption spectra of (N^C^N)Pt(II)Cl complexes (14) N^C^N binding by central benzene and two lateral N-heterocycles) are evaluated by density functional theory (DFT) and time-dependent DFT calculations. The detailed environmental effect of total first hyperpolarizability (βtot) in the solution and crystal phases is simulated by polarized continuum model (PCM) and quantum mechanics/molecular mechanics (QM/MM) method, respectively. The results highlight that the complex 3 exhibits largest βtot value in the gas, solution and crystal phases which can be attributed to the higher electron π-delocalization of ligands. Further, an evident red shift towards longer wavelength is observed for the complex 3. The origin of larger βtot value can be reasonably interpreted by the two-level model. In addition, the surrounding exerts an important influence on modulating second-order NLO properties. The solvent effect results in the larger βtot value than that of gas phase. The intermolecular interaction plays an important role in crystal phase. The formation of dimer can reduce the βtot value in comparison with the βtot value of the monomer in the crystal phase, because the centrosymmetric configuration of dimer implies a decrease of dipole moment (μ) in contrast to the large μ value of monomer. It is expected that this work will provide some guidance for designing Pt(II) NLO materials.
铂(II)配合物被广泛用作非线性光学(NLO)材料。通过密度泛函理论(DFT)和时变 DFT 计算,评估了 (N^C^N)Pt(II)Cl 复合物(1-4)的几何和电子结构、二阶 NLO 性能以及紫外可见吸收光谱。利用极化连续体模型(PCM)和量子力学/分子力学(QM/MM)方法分别模拟了溶液和晶体相中总第一超极化率(βtot)的详细环境效应。结果表明,复合物 3 在气相、溶液相和晶体相中都表现出最大的 βtot 值,这可能是由于配体的电子 π 迁移度较高。此外,在复合物 3 中还观察到明显的红移现象,即波长变长。βtot值较大的原因可以用两级模型来合理解释。此外,周围环境对调节二阶 NLO 特性也有重要影响。溶剂效应导致 βtot 值大于气相。分子间相互作用在晶相中发挥着重要作用。由于二聚体的中心对称构型意味着偶极矩(μ)减小,而单体的μ值较大,因此二聚体的形成会降低晶相中单体的βtot 值。希望这项工作能为设计铂(II) NLO 材料提供一些指导。
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引用次数: 0
Cervical cancer diagnosis model using spontaneous Raman and Coherent anti-Stokes Raman spectroscopy with artificial intelligence 利用自发拉曼光谱和相干反斯托克斯拉曼光谱与人工智能的宫颈癌诊断模型
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-28 DOI: 10.1016/j.saa.2024.125353
Chenyang Liu , Caifeng Xiu , Yongfang Zou , Weina Wu , Yizhi Huang , Lili Wan , Shuping Xu , Bing Han , Haipeng Zhang
Cervical cancer is the fourth most common cancer worldwide. Histopathology, which is currently considered the gold standard for cervical cancer diagnosis, can be time-consuming and subjective. Therefore, there is an urgent need for a rapid, objective, and non-destructive cervical cancer detection technique. In this study, high-wavenumber spontaneous Raman spectroscopy was used to detect cervical squamous cell carcinoma and normal tissues. The levels of lipids, fatty acids, and proteins in cervical cancerous tissues were found to be higher than those in normal tissues. Raman difference spectroscopy revealed the most significant difference at 2928 cm−1. Additionally, a Coherent anti-Stokes Raman spectroscopy (CARS) instrument was employed to enhance the wavenumber signal intensity and sensitivity. The intrinsic relationship between CARS imaging and cervical lesions was established. The CARS images indicated that the intensity of normal cervical squamous cells was zero, whereas the intensities of keratinized and non-keratinized cervical squamous cell carcinoma tissues were significantly higher. Consequently, diagnostic outcomes could be obtained by observing CARS images with the naked eye. Furthermore, the characteristic structure of keratin pearls in keratinized cervical cancer could serve as a marker for subdividing cervical cancer types. Finally, a ConvNeXt network, a machine-learning model built from CARS images, was utilized to classify different types of tissue images. The results indicated a verification accuracy of 100 %, with a loss function of 0.0927. These findings suggest that the diagnostic model established using CARS images could efficiently diagnose cervical cancer, providing novel insights into the pathological diagnosis of this disease.
宫颈癌是全球第四大常见癌症。组织病理学目前被认为是诊断宫颈癌的黄金标准,但它既耗时又主观。因此,迫切需要一种快速、客观、非破坏性的宫颈癌检测技术。本研究采用高波长自发拉曼光谱检测宫颈鳞状细胞癌和正常组织。研究发现,宫颈癌组织中的脂质、脂肪酸和蛋白质含量高于正常组织。拉曼差异光谱显示,在 2928 cm-1 处差异最大。此外,还采用了相干反斯托克斯拉曼光谱(CARS)仪器来增强波长信号强度和灵敏度。建立了 CARS 成像与宫颈病变之间的内在联系。CARS 图像显示,正常宫颈鳞状细胞的强度为零,而角化和非角化宫颈鳞状细胞癌组织的强度则明显较高。因此,通过肉眼观察 CARS 图像可以获得诊断结果。此外,角质化宫颈癌中角蛋白珍珠的特征结构可作为细分宫颈癌类型的标记。最后,利用从 CARS 图像建立的机器学习模型 ConvNeXt 网络对不同类型的组织图像进行了分类。结果表明,验证准确率为 100%,损失函数为 0.0927。这些研究结果表明,利用 CARS 图像建立的诊断模型可以有效诊断宫颈癌,为该疾病的病理诊断提供了新的见解。
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引用次数: 0
Stand-off hazardous materials identification based on near-infrared hyperspectral imaging combined with convolutional neural network 基于近红外高光谱成像和卷积神经网络的危险品隔离识别。
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-28 DOI: 10.1016/j.saa.2024.125311
Chen Chen , Jing Xin , ZiYao Peng, ChenXi Wang, HongYi Lan, CuiPing Yao, Jing Wang
Near-infrared (NIR) hyperspectral imaging enables rapid, non-contact imaging of hazardous materials in a non-destructive manner, allowing for analysis based on spectral reflection information. However, using traditional methods, it is challenging to identify hazardous materials with less distinct spectral reflection features. This study utilizes a self-built NIR hyperspectral imaging system and proposes a new approach. Using a convolutional neural network (CNN), This allows for the rapid completion of high-throughput spectral screening, marking suspicious spectra at spatial points. we sophisticatedly classified six hazardous material types, generating impactful warning images. The optimized CNN demonstrated superior performance (accuracy 91.08 %, recall 91.15 %, specificity 91.62 %, precision 90.17 %, and 0.924 F1 score) compared to SVM and KNN methods. Our study included multitask validation tests, revealing a sensitive detection of 10 mg/cm2 for ammonium nitrate and trinitrotoluene, capable of identifying over 100 targets simultaneously. By simulating real-world scenarios, we successfully detected hazardous chemicals scattered on the ground and accurately identified these hazardous materials in glass and thin plastic products. Even in situations where clothing obstructed the view, we could still correctly identify hazardous chemicals and generate corresponding warning images. Our system demonstrated precise identification capabilities even amidst complex backgrounds. This method provides an accurate and rapid solution for identifying and locating hazardous chemicals, laying a strong foundation for the next steps in non-contact, long-distance quantitative determination of chemical concentrations. This study highlights the effective application of CNN in non-contact, long-distance classification, and recognition of hazardous materials, paving the way for further scientific and engineering applications.
近红外(NIR)高光谱成像技术能够以非破坏性方式对危险材料进行快速、非接触式成像,并根据光谱反射信息进行分析。然而,使用传统方法很难识别光谱反射特征不明显的危险材料。本研究利用自建的近红外高光谱成像系统,提出了一种新方法。通过使用卷积神经网络(CNN),可以快速完成高通量光谱筛查,在空间点标记可疑光谱。与 SVM 和 KNN 方法相比,优化后的 CNN 表现出了卓越的性能(准确率 91.08%、召回率 91.15%、特异性 91.62%、精确度 90.17%、F1 分数 0.924)。我们的研究包括多任务验证测试,结果显示硝酸铵和三硝基甲苯的灵敏度为 10 mg/cm2,能够同时识别 100 多个目标。通过模拟真实世界的场景,我们成功检测到了散落在地面上的危险化学品,并准确识别了玻璃和薄塑料制品中的这些危险材料。即使在衣服遮挡视线的情况下,我们仍能正确识别危险化学品并生成相应的警告图像。即使在复杂的背景下,我们的系统也能表现出精确的识别能力。这种方法为识别和定位危险化学品提供了准确、快速的解决方案,为下一步非接触、远距离定量测定化学品浓度奠定了坚实的基础。这项研究强调了 CNN 在非接触、远距离分类和识别危险材料方面的有效应用,为进一步的科学和工程应用铺平了道路。
{"title":"Stand-off hazardous materials identification based on near-infrared hyperspectral imaging combined with convolutional neural network","authors":"Chen Chen ,&nbsp;Jing Xin ,&nbsp;ZiYao Peng,&nbsp;ChenXi Wang,&nbsp;HongYi Lan,&nbsp;CuiPing Yao,&nbsp;Jing Wang","doi":"10.1016/j.saa.2024.125311","DOIUrl":"10.1016/j.saa.2024.125311","url":null,"abstract":"<div><div>Near-infrared (NIR) hyperspectral imaging enables rapid, non-contact imaging of hazardous materials in a non-destructive manner, allowing for analysis based on spectral reflection information. However, using traditional methods, it is challenging to identify hazardous materials with less distinct spectral reflection features. This study utilizes a self-built NIR hyperspectral imaging system and proposes a new approach. Using a convolutional neural network (CNN), This allows for the rapid completion of high-throughput spectral screening, marking suspicious spectra at spatial points. we sophisticatedly classified six hazardous material types, generating impactful warning images. The optimized CNN demonstrated superior performance (accuracy 91.08 %, recall 91.15 %, specificity 91.62 %, precision 90.17 %, and 0.924 F1 score) compared to SVM and KNN methods. Our study included multitask validation tests, revealing a sensitive detection of 10 mg/cm<sup>2</sup> for ammonium nitrate and trinitrotoluene, capable of identifying over 100 targets simultaneously. By simulating real-world scenarios, we successfully detected hazardous chemicals scattered on the ground and accurately identified these hazardous materials in glass and thin plastic products. Even in situations where clothing obstructed the view, we could still correctly identify hazardous chemicals and generate corresponding warning images. Our system demonstrated precise identification capabilities even amidst complex backgrounds. This method provides an accurate and rapid solution for identifying and locating hazardous chemicals, laying a strong foundation for the next steps in non-contact, long-distance quantitative determination of chemical concentrations. This study highlights the effective application of CNN in non-contact, long-distance classification, and recognition of hazardous materials, paving the way for further scientific and engineering applications.</div></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":"327 ","pages":"Article 125311"},"PeriodicalIF":4.3,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of a high-performance optical sensor for sensitive detection of cobalt ions in pharmaceutical, food, biological, and environmental samples 开发用于灵敏检测制药、食品、生物和环境样品中钴离子的高性能光学传感器
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-28 DOI: 10.1016/j.saa.2024.125343
Nader Hassan , Salah El-Bahy , Ahmed O. Babalghith , Refat El-Sayed , Khaled F. Debbabi , Alaa S. Amin
A re-generable optical chemical sensing film was created using a modified chitosan film that incorporates immobilized 4-(thiazol-2-yldiazenyl) benzene-1,3-diol (TDBD) for the detection of Co2+ in acidic aqueous solutions. Upon exposure to Co2+, the film’s color shifted from yellowish green to red by forming a complex between Co2+ and TDBD. The sensor’s complex was measured at 574 nm, a wavelength where the sensing membrane exhibited minimal background interference. The film exhibited its highest responsiveness to cobalt ions at pH 5.0. Two sample volumes were analysed: 2.5 mL with a Co2+ concentration range of 8.0–140 ng/mL, and 250 mL with a concentration range of 2.4–15.2 ng/mL. Both sample sizes produced linear calibration curves, with detection limits of 2.5 and 0.7 ng/mL, respectively. The relative standard deviation was 1.35 % for six separate films in a 100 ng/mL Co2+ solution, and 0.87 % for six individual films in a 10 ng/mL solution using 2.5 and 250 ng/mL, respectively. The sensing films demonstrated good stability over 30 days and were successfully used to determine Co2+ in pharmaceutical, food, environmental, and biological samples, yielding satisfactory results compared to the ICP-AES method.
利用固定了 4-(噻唑-2-基二氮基)苯-1,3-二醇(TDBD)的改性壳聚糖薄膜制作了一种可再生成的光学化学传感薄膜,用于检测酸性水溶液中的 Co2+。接触 Co2+ 后,Co2+ 与 TDBD 形成复合物,薄膜的颜色从黄绿色变为红色。传感器的复合物是在 574 纳米波长下测量的,该波长下传感膜的背景干扰最小。在 pH 值为 5.0 时,薄膜对钴离子的响应度最高。分析了两种容量的样品:2.5 毫升,Co2+ 浓度范围为 8.0-140 纳克/毫升;250 毫升,浓度范围为 2.4-15.2 纳克/毫升。两种样品量均可生成线性校准曲线,检测限分别为 2.5 和 0.7 纳克/毫升。在 100 毫微克/毫升的 Co2+ 溶液中,六片独立薄膜的相对标准偏差为 1.35%;在 10 毫微克/毫升的溶液中,六片独立薄膜的相对标准偏差为 0.87%,分别为 2.5 毫微克/毫升和 250 毫微克/毫升。传感薄膜在 30 天内表现出良好的稳定性,并成功地用于测定药物、食品、环境和生物样品中的 Co2+,与 ICP-AES 方法相比,结果令人满意。
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引用次数: 0
Boosting bepotastine fluorescence by switching off intramolecular photoinduced electron transfer: Application to eye drops and aqueous humor 通过关闭分子内光诱导电子转移来增强贝泊他丁的荧光:应用于滴眼液和眼房水。
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-28 DOI: 10.1016/j.saa.2024.125335
Aya Magdy Saad , Jenny Jeehan Mohamed Nasr , Asmaa Kamal El-Deen
Bepotastine (BPT), a second-generation antihistamine used for treating allergic rhinitis and pruritus, requires precise dosage calculation and accurate measurement in aqueous humor to ensure therapeutic efficacy and avoid adverse effects. This study presents a highly sensitive, cost-effective, readily-implementable, and ecologically sustainable method to detect BPT by enhancing its weak native fluorescence. This has been achieved by switching off the intramolecular photoinduced electron transfer (PET) process through phosphoric acid-induced protonation of the nitrogen in the piperidinyl ring. Further fluorescence enhancement was achieved by incorporating a solution of sodium dodecyl sulfate (SDS) surfactant thus increasing the quantum yield of BPT up to 10 folds. Fluorescence intensity was measured at 425 nm following excitation at 265 nm. The method, validated according to ICH guidelines, demonstrated linearity over the range of 0.70–6.0 µg/mL with a correlation coefficient of 0.9972 and a low detection limit of 0.046 µg/mL. It was successfully applied to measure BPT in aqueous humor and eye drops with % recoveries between 97.59 % and 102.62 %. Finally, sustainability was assessed using various tools, confirming the method’s practicality for routine clinical and pharmaceutical quality control analyses.
贝泊他汀(BPT)是一种用于治疗过敏性鼻炎和瘙痒症的第二代抗组胺药,需要精确计算剂量并准确测量水样中的含量,以确保疗效并避免不良反应。本研究提出了一种高灵敏度、高成本效益、可随时实施且生态上可持续的方法,通过增强 BPT 的微弱原生荧光来检测 BPT。这是通过磷酸诱导哌啶环中氮的质子化来关闭分子内光诱导电子转移(PET)过程实现的。通过加入十二烷基硫酸钠(SDS)表面活性剂溶液,进一步增强了荧光,从而将 BPT 的量子产率提高了 10 倍。在 265 nm 处激发后,在 425 nm 处测量荧光强度。该方法在 0.70-6.0 µg/mL 范围内线性关系良好,相关系数为 0.9972,检出限低至 0.046 µg/mL。该方法被成功地用于测量水溶液和滴眼液中的 BPT,回收率在 97.59 % 到 102.62 % 之间。最后,使用各种工具对该方法的可持续性进行了评估,证实了该方法在常规临床和药品质量控制分析中的实用性。
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引用次数: 0
In vivo imaging of alkaline phosphatase in lipid metabolic diseases with a photoacoustic probe 利用光声探针对脂质代谢疾病中的碱性磷酸酶进行活体成像
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-28 DOI: 10.1016/j.saa.2024.125351
Chun-Pu Mao , Xu-Yang Chen , Jie Han , Ting Jiang , Xiao-Xin Yan , Dong-Lin Hao , Jian-Hua Jin , Biao Yu , Jie-Li Zhou , Kai Wang , Li-Ting Zhang
Lipid metabolic diseases have become an important challenge to global public health. Along with lifestyle changes, the incidence of obesity, diabetes and other metabolic syndromes is on the rise, and the number of patients with fatty liver disease is also increasing. Therefore, it is particularly important to develop effective lipid imaging strategies to monitor and manage fatty liver disease. Herein, based on the essential role of alkaline phosphatase (ALP) in both AS and OB, in vivo imaging of ALP was achieved in two lipid metabolic diseases models with a photoacoustic (PA) probe phosphorylated hemicyanine (P-Hcy). After being triggered by ALP, P-Hcy responded in different modalities including absorbance, fluorescence and, most significantly, PA-reporting. Notably, the PA signal showed the reliable linear correlation to the ALP level within the range of 0–800 U/L. The probe P-Hcy exhibited the advantages including high sensitivity, high selectivity, and steadiness in required biological conditions. The intracellular imaging results ensured that P-Hcy could visualize the ALP level in the foam cells induced from mouse mononuclear macrophages. In the healthy and lipid metabolic diseases models, P-Hcy was able to distinguish well between a lipid metabolic disease model and a healthy mouse model by photoacoustic imaging. By combining the ALP detection with P-Hcy in PA/fluorescence modality and traditional techniques such as blood biochemical testing and immunohistochemically staining, more potential strategy to accurately diagnose lipid metabolic diseases in the pre-clinical trials might be developed in future.
脂质代谢疾病已成为全球公共卫生面临的重要挑战。随着生活方式的改变,肥胖、糖尿病和其他代谢综合征的发病率呈上升趋势,脂肪肝患者的数量也在不断增加。因此,开发有效的脂质成像策略来监测和管理脂肪肝显得尤为重要。本文基于碱性磷酸酶(ALP)在AS和OB中的重要作用,在两种脂质代谢疾病模型中使用光声(PA)探针磷酸化血氰氨酸(P-Hcy)实现了ALP的体内成像。在被 ALP 触发后,P-Hcy 会以不同的方式做出反应,包括吸光度、荧光以及最重要的 PA 报告。值得注意的是,在 0-800 U/L 的范围内,PA 信号与 ALP 水平呈可靠的线性相关。探针 P-Hcy 具有高灵敏度、高选择性和在所需生物条件下的稳定性等优点。细胞内成像结果表明,P-Hcy 可以观察到小鼠单核巨噬细胞诱导的泡沫细胞中的 ALP 水平。在健康和脂质代谢疾病模型中,P-Hcy 能够通过光声成像很好地区分脂质代谢疾病模型和健康小鼠模型。通过将 PA/荧光模式中的 ALP 检测与 P-Hcy 检测以及血液生化检测和免疫组化染色等传统技术相结合,未来可能会开发出更多在临床前试验中准确诊断脂质代谢疾病的潜在策略。
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引用次数: 0
Streamlined turn-off fluorescence sensing of Donepezil: Enhancing evaluation in pharmaceutical formulations, quality control labs, and biological fluids at nano levels 简化多奈哌齐的关断荧光传感:在纳米级水平上加强对药物制剂、质量控制实验室和生物液体的评估。
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-26 DOI: 10.1016/j.saa.2024.125344
Mohamed A. El Hamd , Wael A. Mahdi , Sultan Alshehri , Bandar R. Alsehli , Ahmed A. Abu-hassan
Donepezil (DPZ) is used to treat Alzheimer’s disease by increasing acetylcholine in the brain, necessitating precise analytical methods for its evaluation. This study aims to develop and validate a new turn-off fluorescence sensing method for quantifying DPZ, enhancing its evaluation in pharmaceutical formulations, quality control laboratories, and biological fluids. By leveraging the fluorescence-quenching interplay between DPZ and tetrabromofluorescein, the assay parameters were fine-tuned to enhance the development of an ion-associated complex. The developed method demonstrated a measurement range from 40.0 to 800.0 ng/mL, with detection and quantification limits of 12.6 ng/mL and 38.0 ng/mL, respectively. However, the successful application of the method to commercial DPZ tablets and plasma samples confirmed its effectiveness for both quality control labs and clinical research settings. It ensured accurate content uniformity and high precision, making it ideal for routine DPZ monitoring. In contrast to previous methods, this approach emphasizes environmental sustainability, evaluated using advanced tools like the Eco score scale, AGREE, RGB12, and BAGI. These tools facilitated a thorough assessment of the method’s ecological impact and sustainability, underscoring its advantage over traditional methods in terms of environmental responsibility.
多奈哌齐(DPZ)通过增加大脑中的乙酰胆碱来治疗阿尔茨海默病,因此需要精确的分析方法对其进行评估。本研究旨在开发和验证一种新的关断荧光传感方法,用于定量分析多奈哌齐(DPZ),从而加强药物制剂、质量控制实验室和生物液体中对多奈哌齐(DPZ)的评估。利用 DPZ 和四溴荧光素之间的荧光淬灭相互作用,对检测参数进行了微调,以加强离子相关复合物的开发。所开发的方法的测量范围为 40.0 至 800.0 纳克/毫升,检出限和定量限分别为 12.6 纳克/毫升和 38.0 纳克/毫升。然而,将该方法成功应用于商用DPZ片剂和血浆样品证实了它在质量控制实验室和临床研究环境中的有效性。该方法确保了准确的含量均匀性和高精度,是常规DPZ监测的理想方法。与以往的方法不同,这种方法强调环境的可持续发展,并使用 Eco score scale、AGREE、RGB12 和 BAGI 等先进工具进行评估。这些工具有助于对该方法的生态影响和可持续性进行全面评估,凸显了该方法在环境责任方面优于传统方法的优势。
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引用次数: 0
Advances and Opportunities of luminescence Nanomaterial for bioanalysis and diagnostics 用于生物分析和诊断的发光纳米材料的发展与机遇
IF 4.3 2区 化学 Q1 SPECTROSCOPY Pub Date : 2024-10-26 DOI: 10.1016/j.saa.2024.125347
Nguyen Nhat Nam , Thi Ngoc Diep Trinh , Hoang Dang Khoa Do , Thang Bach Phan , Kieu The Loan Trinh , Nae Yoon Lee
Luminescence nanomaterials (LNMs) have recently received great attention in biological analysis and sensing owing to their key advances in easy design and functionalization with high photostability, luminescence stability, low autofluorescence, and multiphoton capacity. The number of publications surrounding LNMs for biological applications has grown rapidly. LNMs based on Stokes and anti-Stokes shifts are powerful tools for biological analysis. Especially, unique properties of anti-Stokes luminescence such as upconversion nanoparticles (UCNPs) with an implementation strategy to use longer-wavelength excitation sources such as near-infrared (NIR) light can depth penetrate to biological tissue for bioanalysis and bioimaging. We observed that the LNMs-based metal–organic frameworks (MOFs) have been developed and paid attention to the field of bioimaging and luminescence-based sensors, because of their structural flexibility, and multifunctionality for the encapsulation of luminophores. This article provides an overview of innovative LNMs such as quantum dots (QDs), UCNPs, and LMOFs. A brief summary of recent progress in design strategies and applications of LNMs including pH and temperature sensing in biologically responsive platforms, pathogen detection, molecular diagnosis, bioimaging, photodynamic, and radiation therapy published within the past three years is highlighted. It was found that the integrated nanosystem of lab-on-a-chip (LOC) with nanomaterials was rapidly widespread and erupting in interest after the COVID-19 pandemic. The simple operation and close processes of the integration nanosystem together with the optimized size and low energy and materials consumption of biochips and devices allow their trend study and application to develop portable and intelligent diagnostics tools. The last part of this work is the introduction of the utilization use of LNMs in LOC applications in terms of microfluidics and biodevices.
发光纳米材料(LNMs)具有高光稳定性、发光稳定性、低自发荧光和多光子能力,易于设计和功能化,因此最近在生物分析和传感领域受到极大关注。围绕用于生物应用的 LNMs 发表的论文数量增长迅速。基于斯托克斯和反斯托克斯位移的 LNM 是生物分析的有力工具。特别是反斯托克斯发光的独特特性,如上转换纳米粒子(UCNPs),以及使用近红外(NIR)光等长波长激发源的实施策略,可以深度穿透生物组织进行生物分析和生物成像。我们注意到,基于 LNMs 的金属有机框架(MOFs)因其结构的灵活性和封装发光体的多功能性,已在生物成像和基于发光的传感器领域得到开发和关注。本文概述了量子点(QDs)、UCNPs 和 LMOFs 等创新型 LNMs。文章简要概述了过去三年中发表的有关 LNMs 设计策略和应用的最新进展,包括生物响应平台中的 pH 和温度传感、病原体检测、分子诊断、生物成像、光动力和放射治疗。研究发现,在 COVID-19 大流行之后,集成了纳米材料的片上实验室(LOC)纳米生态系统迅速普及并引起了人们的兴趣。集成纳米系统操作简单、流程紧密,生物芯片和设备尺寸优化、能耗低、材料消耗少,这使得研究和应用生物芯片和设备开发便携式智能诊断工具成为大势所趋。这项工作的最后一部分介绍了 LNM 在微流体和生物设备方面的 LOC 应用。
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引用次数: 0
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Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
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