中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
西北高原生物研究所 [3]
地理科学与资源研究所 [1]
长春光学精密机械与物... [1]
采集方式
OAI收割 [5]
内容类型
期刊论文 [4]
会议论文 [1]
发表日期
2024 [1]
2019 [1]
2018 [2]
2006 [1]
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Machine Learning-Based Fine Classification of Agricultural Crops in the Cross-Border Basin of the Heilongjiang River between China and Russia
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 10, 页码: 1670
作者:
Liu, Meng
  |  
收藏
  |  
浏览/下载:84/0
  |  
提交时间:2024/07/12
crop classification
food security
Sentinel-2
random forest
sample label
Surface Engineering of Carbon Fiber Paper toward Exceptionally High-Performance and Stable Electrochemical Nitrite Sensing
期刊论文
OAI收割
ACS SENSORS, 2019, 卷号: 4, 期号: 11
作者:
Zhu, Wenxin
;
Zhang, Yi
;
Gong, Jiandong
;
Ma, Yiyue
;
Sun, Jing
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/11/25
carbon fiber paper
surface engineering
electrochemical sensor
nitrite
food sample
Biomass reinforced graphene oxide solid/liquid phase membrane extraction for the measurement of Pb(II) in food samples
期刊论文
OAI收割
FOOD CHEMISTRY, 2018, 卷号: 269, 页码: 9-15
作者:
Wang, Jianlong
;
Suo, Yourui
;
Hu, Na
;
Li, Zhonghong
;
Yue, Tianli
  |  
收藏
  |  
浏览/下载:240/0
  |  
提交时间:2018/12/05
Biomass
Graphene Oxide Membrane
Solid/liquid Phase Extraction
Pb(Ii)
Food Sample
Determination of thiols by gas purge microsyringe extraction coupled with chemical derivatization by high performance liquid chromatography-fluorescence detection with mass spectrometry identification
期刊论文
OAI收割
JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES, 2018, 卷号: 41, 期号: 12
作者:
Zhuang, Jianlin
;
You, Jinmao
;
Zhang, Shijuan
;
Sun, Zhiwei
;
Ji, Zhongyin
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/11/26
Derivatization
food sample
GP-MSE
HPLC-MS
PIPD
thiols
Development of a new diffuse near infrared food measuring (EI CONFERENCE)
会议论文
OAI收割
Sitxh International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, October 13, 2006 - October 15, 2006, Beijing, China
作者:
Zhang J.
;
Zhang J.
;
Zhang J.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
Industries from agriculture to petrochemistry have found near infrared (NIR) spectroscopic analysis useful for quality control and quantitative analysis of materials and products. The general chemical
polymer chemistry
petrochemistry
agriculture
food and textile industries are currently using NIR spectroscopic methods for analysis. In this study
we developed a new sort NIR instrument for food measuring. The instrument consists of a light source
12 filters to the prismatic part. The special part is that we use a mirror to get two beams of light. And two PbS detectors were used. One detector collected the radiation of one light beam directly and the value was set as the standard instead the standard white surface. Another light beam irradiate the sample surface
and the diffuse light was collected by another detector. The value of the two detectors was compared and the absorbency was computed. We tested the performance of the NIR instrument in determining the protein and fat content of milk powder. The calibration showed the accuracy of the instrument in practice.