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傅里叶变换红外(FT-IR)光谱和简单算法分析用于快速无损评估棉花纤维成熟度和结晶度,用于植物图谱绘制。

Fourier Transform Infrared (FT-IR) Spectroscopy and Simple Algorithm Analysis for Rapid and Non-Destructive Assessment of Cotton Fiber Maturity and Crystallinity for Plant Mapping.

机构信息

Cotton Fiber Bioscience & Utilization Research Unit, Southern Regional Research Center (SRRC), Agricultural Research Service, United States Department of Agriculture, New Orleans, LA 70124, USA.

Cotton Quality & Innovation Research Unit, Southern Regional Research Center (SRRC), Agricultural Research Service, United States Department of Agriculture, New Orleans, LA 70124, USA.

出版信息

Sensors (Basel). 2024 Apr 30;24(9):2888. doi: 10.3390/s24092888.

DOI:10.3390/s24092888
PMID:38732993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11086078/
Abstract

Information on boll distribution within a cotton plant is critical to evaluate the adaptation and response of cotton plants to environmental and biotic stress in cotton production. Cotton researchers have applied available conventional fiber measurements, such as the high volume instrument (HVI) and advanced fiber information system (AFIS), to map the location and the timing of boll development and distribution within plants and further to determine within-plant variability of cotton fiber properties. Both HVI and AFIS require numerous cotton bolls combined for the measurement. As an alternative approach, attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy was proposed to measure fiber maturity () and crystallinity () of a sample as little as 0.5 mg lint. Extending fiber maturity and crystallinity measurement into a single boll for node-by-node mapping, FT-IR method might be advantageous due to less sampling amount compared with HVI and AFIS methods. Results showed that FT-IR technique enabled the evaluation of fiber and at a boll level, which resulted in average and values highly correlated with HVI micronaire (MIC) and AFIS maturity ratio (M). Hence, FT-IR technique possesses a good potential for a rapid and non-destructive node-by-node mapping of cotton boll maturity and crystallinity distribution.

摘要

关于棉株内棉铃分布的信息对于评估棉花在棉花生产中对环境和生物胁迫的适应和反应至关重要。棉花研究人员已经应用了现有的常规纤维测量方法,如大容量仪器 (HVI) 和先进纤维信息系统 (AFIS),来绘制棉株内棉铃发育和分布的位置和时间,并进一步确定棉纤维性质的株内变异性。HVI 和 AFIS 都需要结合大量的棉花铃进行测量。作为替代方法,衰减全反射傅里叶变换红外 (ATR FT-IR) 光谱法被提出用于测量样品的纤维成熟度()和结晶度(),样品量少至 0.5 毫克皮棉。由于与 HVI 和 AFIS 方法相比,采样量较少,因此将纤维成熟度和结晶度测量扩展到单个棉铃进行逐节点映射,FT-IR 方法可能具有优势。结果表明,FT-IR 技术能够在棉铃水平上评估纤维和,这导致平均和值与 HVI 马克隆值(MIC)和 AFIS 成熟度比(M)高度相关。因此,FT-IR 技术具有在快速和无损的逐节点映射棉铃成熟度和结晶度分布方面的良好潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/a8102fe2b38f/sensors-24-02888-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/55739ca5e0b8/sensors-24-02888-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/37cb3f11f76b/sensors-24-02888-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/67c7f6ed10eb/sensors-24-02888-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/63c24959aaec/sensors-24-02888-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/48238154447c/sensors-24-02888-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/f977b1958939/sensors-24-02888-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/003bed28a3f7/sensors-24-02888-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/9e63087aebf5/sensors-24-02888-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/a8102fe2b38f/sensors-24-02888-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/55739ca5e0b8/sensors-24-02888-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/37cb3f11f76b/sensors-24-02888-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/67c7f6ed10eb/sensors-24-02888-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/63c24959aaec/sensors-24-02888-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/48238154447c/sensors-24-02888-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/f977b1958939/sensors-24-02888-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/003bed28a3f7/sensors-24-02888-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/9e63087aebf5/sensors-24-02888-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7449/11086078/a8102fe2b38f/sensors-24-02888-g009.jpg

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本文引用的文献

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