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Tedlar bag free:Accurate volatolomics ofⅠA stage non-small cell lung cancer come out in wash
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作者 Bohao Liu Xue Jiang +14 位作者 Ruizhi Ning Heng Zhao Yanpeng Zhang Junnan Zhang Tianqing Liu Danyao Qu Yinhui Bao Zhanchen Guo Xiaoyan Zeng Shan Gao Kun Fan Runyi Tao Jian Ji Guangjian Zhang Weiwei Wu 《Chinese Chemical Letters》 2025年第6期536-541,共6页
Breath analysis can be used to diagnose diseases non-invasively.Accurate measurement of volatolomics is critical for breath analysis to be a gold standard.Tedlar bags(TB)are often used to collect breath samples,but th... Breath analysis can be used to diagnose diseases non-invasively.Accurate measurement of volatolomics is critical for breath analysis to be a gold standard.Tedlar bags(TB)are often used to collect breath samples,but they emit contaminants that affect accuracy.This issue was overlooked in previous studies.We found contamination issues with TB(e.g.,siloxanes and aromatic impurities)that affect the identification of volatile organic compounds(VOCs)due to impurities.Then,home-designed equipment(HD)made with poly-tetrafluoride(PTFE)and quartz glass for breath collection was developed and employed in clinical trials.15 healthy individuals and 32 non-small cell lung cancer(NSCLC)patients at IA stage participated in this study.610 VOCs can be collected through TB,which is less than HD(1109 VOCs),demonstrating that the inner wall of the TB easily adsorbs VOCs,leading to decreased detection concentrations.Otherwise,utilizing orthogonal partial least squares discriminant analysis(OPLS-DA),we identified chemical markers with significant discriminatory power(VIP>1.5,P<0.05).The HD method identified 12 target VOCs,surpassing the 3 target VOCs discerned by the TB method.A model combined with a machine learning algorithm for distinguishing early-stage lung cancer patients was established based on biomarkers,which were selected based on OPLS-DA.The results showed strong predictive capabilities for the HD-based model.It indicated that 12 biomarkers derived from the HD model were more effective in distinguishing NSCLC patients,with an AUC value of 0.92,compared to the AUC value of 0.5 from 3 markers obtained from the TB model.The sensitivity and specificity in the confusion matrix reached 100%and 80%for the HD test,but TB test reached only 40%and 60%.This work demonstrated that optimizing and standardizing VOCs collection methodology from breath of lung cancer patients is essential to identify actual volatiles,which could promote disease volatolomics worldwide. 展开更多
关键词 volatolomics Lung cancer Volatile organic compounds Exhaled breath analysis GC-MS
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Volatolomics-based quality identification of Lycium barbarum using cMOF thin film chemiresistors
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作者 Lin-An Cao Yi-Qian Li +8 位作者 Lu Sun Sai Chu Yun-Fei Huo Xiao-Qin Li Jia-Hui Guo Fang-Li Yuan Kenichi Otake Dai-Lian Wang Ming-Shui Yao 《Chinese Journal of Structural Chemistry》 2025年第5期69-75,共7页
The sulfur-fumigation process not only induces the chemical transformation of Lycium barbarum(Lb,a widely used traditional Chinese medicine)but also severely influences human health.Given the existing challenges like ... The sulfur-fumigation process not only induces the chemical transformation of Lycium barbarum(Lb,a widely used traditional Chinese medicine)but also severely influences human health.Given the existing challenges like the complex and time-consuming operation,as well as the high technical demands of the current detection methods for sulfur-fumed Lycium barbarum(SF-Lb),this paper employs a simple chemiresistor to carry out discrimination research between Lb and SF-Lb which have significant differences in volatolomics.The sensor is constructed by a conductive metal-organic framework(cMOF)thin film,Cu_(3)(HHTP)_(2),due to its abundant active sites,excellent electron transfer performance as well as the capacity to detect specific groups of volatile organic compounds(VOCs).Consequently,the response values of Cu_(3)(HHTP)_(2)-based sensor to 0.5 g SF-Lb(151.74%)are significantly higher than those to normal Lb(80.07%),identifying SF-Lb simply and rapidly with an accuracy of~100%.Our work investigates volatolomics of SF-Lb and establishes a new rapid discrimination method for sulfur-fumed traditional Chinese herbs. 展开更多
关键词 cMOF thin film volatolomics CHEMIRESISTOR Traditional Chinese medicine identification Sulfur-fumed Lycium barbarum
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Volatolomics in Fritillarias and Their Identification by Orientation Controlled cMOF Thin Film Chemiresistors 被引量:1
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作者 Lin-An Cao Yi-Qian Li +6 位作者 Yun-Fei Huo Lu Sun Xiao-Qin Li Lu Chen Xue-Tong Yang Fang-Li Yuan Ming-Shui Yao 《Chinese Journal of Chemistry》 2025年第4期371-377,共7页
As one of the famous traditional Chinese herbal medicines,Fritillariae Cirrhosae Bulbus(FCB)is widely used in the prevention and treatment of respiratory diseases and has the best curative effect among the known friti... As one of the famous traditional Chinese herbal medicines,Fritillariae Cirrhosae Bulbus(FCB)is widely used in the prevention and treatment of respiratory diseases and has the best curative effect among the known fritillarias medicines.Due to the variety,complex sources,similar appearance and shape,it is difficult to distinguish FCB with high curative effect(h-FCB)from other common fritillarias(c-FCB)in the market.In this paper,a very simple chemiresistor is used to identify FCB from three commonly used fritillarias drugs.The sensors are fabricated by anisotropic electrically conductive metal-organic framework(cMOF)thin film Cu_(3)(HHTP)_(2)(Cu-HHTP_([001])and Cu-HHTP_([100]))as active materials owing to their ability to detect specific groups of volatile organic compounds(volatolomics)as the functional motifs of chemiresistor.As a result,the sensors show orientation-dependence identification ability to FCB.Cu-HHTP_([001])-based sensor shows the highest response(344.17%)to 0.5 g h-FCB powder volatiles among its three other c-FCB which is much higher than Cu-HHTP_([100])(135.50%).Ultimately,Cu-HHTP_([001])can realize the identification of FCB with an accuracy of 97.2% in a simple and real-time manner. 展开更多
关键词 volatolomics Anisotropic cMOF thin film CHEMIRESISTOR Traditional Chinese herbal medicines identification Matteridentification
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Volatolomics in healthcare and its advanced detection technology 被引量:10
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作者 Wenwen Hu Weiwei Wu +5 位作者 Yingying Jian Hossam Haick Guangjian Zhang Yun Qian Miaomiao Yuan Mingshui Yao 《Nano Research》 SCIE EI CSCD 2022年第9期8185-8213,共29页
Various diseases increasingly challenge the health status and life quality of human beings.Volatolome emitted from patients has been considered as a potential family of markers,volatolomics,for diagnosis/screening.The... Various diseases increasingly challenge the health status and life quality of human beings.Volatolome emitted from patients has been considered as a potential family of markers,volatolomics,for diagnosis/screening.There are two fundamental issues of volatolomics in healthcare.On one hand,the solid relationship between the volatolome and specific diseases needs to be clarified and verified.On the other hand,effective methods should be explored for the precise detection of volatolome.Several comprehensive review articles had been published in this field.However,a timely and systematical summary and elaboration is still desired.In this review article,the research methodology of volatolomics in healthcare is critically considered and given out,at first.Then,the sets of volatolome according to specific diseases through different body sources and the analytical instruments for their identifications are systematically summarized.Thirdly,the advanced electronic nose and photonic nose technologies for volatile organic compounds(VOCs)detection are well introduced.The existed obstacles and future perspectives are deeply thought and discussed.This article could give a good guidance to researchers in this interdisciplinary field,not only understanding the cutting-edge detection technologies for doctors(medicinal background),but also making reference to clarify the choice of aimed VOCs during the sensor research for chemists,materials scientists,electronics engineers,etc. 展开更多
关键词 volatolomics electronic nose disease diagnosis SENSOR artificial olfaction volatile organic compounds
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The 150 most important questions in cancer research and clinical oncology series:questions 67–75
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作者 Chinese Journal of Cancer Chong-Feng Gao 《Chinese Journal of Cancer》 SCIE CAS CSCD 2017年第10期449-454,共6页
Since the beginning of 2017, Chinese Journal of Cancer has published a series of important questions in cancer research and clinical oncology, which sparkle diverse thoughts, interesting communications, and potential ... Since the beginning of 2017, Chinese Journal of Cancer has published a series of important questions in cancer research and clinical oncology, which sparkle diverse thoughts, interesting communications, and potential collaborations among researchers all over the world. In this article, 9 more questions are presented as followed. Question 67. How could we overcome the resistance of hepatocellular carcinoma against chemotherapeutics? Question 68. Is pursuit of non-covalent small-molecule binders of RAS proteins viable as a strategy of cancer drug discovery? Question 69. In what oligomeric structures do RAS proteins signal? Question 70. How can we achieve non-invasive early detection and diagnosis of lung cancer? Question 71. Does genetic information influence the volatolome enabling diagnosis of lung cancer with genetic mutations via cell headspace or breath analysis? Question 72. Is heavy ion beam radiotherapy e ective to kill cancer stem cells? Question 73. Is there any diversity among di erent types of cancer in terms of sensitivity to heavy ion beam radiotherapy? Question 74. Can targeted alpha-particle therapy augment the e ect of carbon ion radiotherapy on malignancies? Question 75. How does chromosomal instability drive tumor progression? 展开更多
关键词 Resistant to chemotherapy Hepatocellular carcinoma RAS Cancer-targeted THERAPY OLIGOMER Noninvasive early detection and diagnosis Lung CANCER Volatolome Heavy ion beam radiotherapy TARGETED alphaparticle THERAPY CHROMOSOMAL instability
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