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ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Cotton Quality and Innovation Research » Research » Publications at this Location » Publication #408517
Research Project: Enhancing the Quality and Sustainability of Cotton Fiber and Textiles

Location: Cotton Quality and Innovation Research

Title: Fiber micronaire measurement in seed cotton from attenuated total reflection Fourier transform infrared spectroscopy

Author
item Liu, Yongliang
item Delhom, Christopher

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 9/25/2023
Publication Date: N/A
Citation: N/A

Interpretive Summary: Cotton fiber micronaire (MIC) is an essential fiber quality and characterizes both fiber maturity and fineness components. Attenuated total reflection Fourier transform infrared (ATR FT-IR) spectra of clean and well-defined 104 cotton materials were collected and partial least squares (PLS) models were explored for fiber high volume instrument (HVI) MIC prediction, then the models were applied to predict the MIC property of independent seed cotton locule fibers. Fiber MIC measurement in seed cotton may meet some difficulties, as seed cotton harvested by cotton mechanical harvesters contains some amounts of foreign or non-lint materials and also multiple cotton bolls is required for routine HVI MIC test. ATR FT-IR method may be an alternative option for estimating fiber MIC in seed cottons, because of its capability of sampling as little as 0.5 mg fiber directly without the need to remove any visible non-lint materials and cotton seeds first. Compared to PLS models, algorithmic IR approach indicated a similarity in coefficient of determination, bias, and percentage of samples within the 95% agreement range between validation samples and independent samples. In particular, algorithmic approach avoids the need to re-calibrate the model with new samples. Therefore, development of a robust and effective FT-IR technique for rapid laboratory MIC assessment that would be applicable to remote / breeding locations in MIC early testing is feasible.

Technical Abstract: Cotton fiber micronaire (MIC) is an essential fiber quality and characterizes both fiber maturity and fineness components. Attenuated total reflection Fourier transform infrared (ATR FT-IR) spectra of clean and well-defined 104 cotton materials were collected and partial least squares (PLS) models were explored for fiber high volume instrument (HVI) MIC prediction, then the models were applied to predict the MIC property of independent seed cotton locule fibers. Fiber MIC measurement in seed cotton may meet some difficulties, as seed cotton harvested by cotton mechanical harvesters contains some amounts of foreign or non-lint materials and also multiple cotton bolls is required for routine HVI MIC test. ATR FT-IR method may be an alternative option for estimating fiber MIC in seed cottons, because of its capability of sampling as little as 0.5 mg fiber directly without the need to remove any visible non-lint materials and cotton seeds first. Compared to PLS models, algorithmic IR approach indicated a similarity in coefficient of determination, bias, and percentage of samples within the 95% agreement range between validation samples and independent samples. In particular, algorithmic approach avoids the need to re-calibrate the model with new samples. Therefore, development of a robust and effective FT-IR technique for rapid laboratory MIC assessment that would be applicable to remote / breeding locations in MIC early testing is feasible.