Combining Near-Infrared Spectroscopy and Chemometrics for Rapid Recognition of an Hg-Contaminated Plant
المؤلفون المشاركون
Xu, Lu
Fu, Hai-Yan
She, Yuan-Bin
Tang, Bang-Cheng
Shi, Wei
Yin, Qiao-Bo
Zhou, Zeng-Yan
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-07-26
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
The feasibility of rapid recognition of an Hg-contaminated plant as a soil pollution indicator was investigated using near-infrared spectroscopy (NIRS) and chemometrics.
The stem and leave of a native plant, Miscanthus floridulus (Labill.) Warb.
(MFLW), were collected from Hg-contaminated areas ( n 1 = 125 ) as well as from regular areas ( n 2 = 116 ).
The samples were dried and crushed and the powders were sieved through an 80-mesh sieve.
Reference analysis of Hg levels was performed using inductively coupled plasma-atomic emission spectrometry (ICP-AES).
The actual Hg contents of contaminated and normal samples were 16.2–30.5 and 0.0–0.1 mg/Kg, respectively.
The NIRS measurements of impacted sample powders were collected in the mode of reflectance.
The DUPLEX algorithm was utilized to split the NIRS data into representative training and test sets.
Different spectral preprocessing methods were performed to remove the unwanted and noncomposition-correlated spectral variations.
Classification models were developed using partial least squares discrimination analysis (PLSDA) based on the raw, smoothed, second-order derivative (D2), and standard normal variate (SNV) data, respectively.
The prediction accuracy obtained by PLSDA with each data preprocessing option was 100%, indicating pattern recognition of Hg-contaminated MFLW samples using NIRS data was in perfect consistence with the ICP-AES results.
NIRS combined with chemometrics will provide a tool to screen the Hg-contaminated MFLW, which can be potentially used as an indicator of soil pollution.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tang, Bang-Cheng& Fu, Hai-Yan& Yin, Qiao-Bo& Zhou, Zeng-Yan& Shi, Wei& Xu, Lu…[et al.]. 2016. Combining Near-Infrared Spectroscopy and Chemometrics for Rapid Recognition of an Hg-Contaminated Plant. Journal of Spectroscopy،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1110772
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tang, Bang-Cheng…[et al.]. Combining Near-Infrared Spectroscopy and Chemometrics for Rapid Recognition of an Hg-Contaminated Plant. Journal of Spectroscopy No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1110772
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tang, Bang-Cheng& Fu, Hai-Yan& Yin, Qiao-Bo& Zhou, Zeng-Yan& Shi, Wei& Xu, Lu…[et al.]. Combining Near-Infrared Spectroscopy and Chemometrics for Rapid Recognition of an Hg-Contaminated Plant. Journal of Spectroscopy. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1110772
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1110772
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر