|
|
|
|
|
|
Spectral Magnitude Uncertainty in Measurement of Protein Circular
Dichroism Spectra—An Empirical Study on Cytochrome C |
CHENG Hong1, YAN Ding-ce1*, WU Li-qing2, XU Jun3 |
1. Analytical and Testing Center, Huazhong University of Science and Technology, Wuhan 430074,China
2. Frontier Measurement Science Center, National Institute of Metrology, China, Beijing 100029, China
3. School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
|
|
|
Abstract Circular dichroism (CD) spectroscopy is a well-established biophysical technique used to measure protein and its secondary structure and to detect changes in secondary and higher orders of structure for applications in research and the quality control of protein products such as biopharmaceuticals. However, objective comparison of spectra is challenging because of a limited quantitative understanding of the sources of error in the measurement. Statistical methods can be used for comparisons but do not provide a mechanism for dealing with systematic and random, errors. CD measurements in any two instruments may often present slight differences in spectral magnitude or wavelength, even for the same sample under comparable conditions. The small disparities between the polarization of the incident light from each instrument, light source, and final lamp output are examples of the variables that can produce such differences. On the other hand, the structural information acquired with the CD method can sometimes be hampered by the poor quality of the original CD data, and CD deconvolution analysis strongly depends on the spectral intensity. Here a helix predominate protein—cytochrome C was taken as the experimental object, and CD spectroscopy was used to measure the concentration of 0.05 mg·mL-1 cytochrome C aqueous solution after instruments were typically calibrated using standards. And then, a measurement model for CD spectroscopy of 0.05 mg·mL-1 Cytochrome C aqueous solution was presented, incorporating the principal sources of uncertainty to derive an uncertainty budget of spectral magnitude in wavelength 222 nm. The uncertainties of spectral magnitude were from measurement repeatability, concentration uncertainty of calibration solution and protein solution, the uncertainty of cell length of the cuvette, etc. After calibrating the instrument, these sources of uncertainty were comprehensively considered, and the magnitude uncertainty of 0.05 mg·mL-1 cytochrome C aqueous solution at the wavelength of 222 nm was (-4.53±0.54) mdeg, k=2. The uncertainty, evaluation found that the uncertainty of 1 mm cuvette cell length and the solution preparation process account for a significant part of the uncertainty component. Eliminating or reducing the impact of these factors can improve the measurement method to analyze the measurement process to achieve an objective comparison of CD spectra and improve the comparability and reliability of CD spectra. This work also provides an experimental reference for the interlaboratory comparison of circular dichroism measurement.
|
Received: 2022-11-10
Accepted: 2023-05-02
|
|
Corresponding Authors:
YAN Ding-ce
E-mail: 151613663@qq.com
|
|
[1] Miyahara T, Nakatsuji H, Sugiyama H. Journal of Physical Chemistry A, 2016, 120(45): 9008.
[2] Matsuo K, Gekko K. Advances in Experimental Medicine and Biology, 2018, 1104, 101.
[3] CHENG Hong, WANG Ling(程 红,王 玲). Research and Exploration in Laboratory(实验室研究与探索), 2021, 40(5): 31.
[4] Pelton J T, McLean L R. Analytical Biochemistry,2000, 277(215): 167.
[5] Kumagai P S, Araujo A P U, Lopes J L S. Biophysical Reviews, 2017, 9(5): 517.
[6] Wallace B A. Quarterly Reviews of Biophysics, 2009, 42(4): 317.
[7] Di Giuseppe A M A, Russo L, Russo R, et al. Biochimica et Biophysica Acta, Proteins and Proteomics, 2017, 1865(5): 499.
[8] CHENG Hong, YAN Ding-ce, WU Li-qing, et al(程 红,严定策,武利庆,等). Chin. J. Pharm. Anal.(药物分析杂志),2021, 41(4): 559.
[9] Brewster V L, Ashton L, Goodacre R. Analytical Chemistry (Washington, D C, United States), 2011, 83(15): 6074.
[10] Jones C. Journal of Pharmaceutical and Biomedical Analysis, 2022, 219: 114945.
[11] Castiglioni E, Albertini P, Abbate S. Chirality, 2010, 22(1E): E142.
[12] Maurice G C, Jascindra R, Paulina D R, et al. Metrologia, 2014, 51: 67.
[13] Jones C. Applied Spectroscopy, 2021, 75(9): 1207.
[14] Sousa V K, Pedro J A F, Kumagai P S, et al. European Biophysics Journal, 2021, 50(5): 687.
[15] Johnson W C Jr. Circular Dichroism Instrumentation Circular Dichroism and the Conformational Analysis of Biomolecules ed GD Fasman (New York: Plenum), 1996, 635. |
[1] |
ZHENG Hong-quan, DAI Jing-min*. Research Development of the Application of Photoacoustic Spectroscopy in Measurement of Trace Gas Concentration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 1-14. |
[2] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[3] |
FAN Ping-ping,LI Xue-ying,QIU Hui-min,HOU Guang-li,LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
[4] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[5] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
[6] |
BAI Xi-lin1, 2, PENG Yue1, 2, ZHANG Xue-dong1, 2, GE Jing1, 2*. Ultrafast Dynamics of CdSe/ZnS Quantum Dots and Quantum
Dot-Acceptor Molecular Complexes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 56-61. |
[7] |
XU Tian1, 2, LI Jing1, 2, LIU Zhen-hua1, 2*. Remote Sensing Inversion of Soil Manganese in Nanchuan District, Chongqing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 69-75. |
[8] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[9] |
LIU Zhen1*, LIU Li2*, FAN Shuo2, ZHAO An-ran2, LIU Si-lu2. Training Sample Selection for Spectral Reconstruction Based on Improved K-Means Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 29-35. |
[10] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
[11] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[12] |
ZHENG Pei-chao, YIN Yi-tong, WANG Jin-mei*, ZHOU Chun-yan, ZHANG Li, ZENG Jin-rui, LÜ Qiang. Study on the Method of Detecting Phosphate Ions in Water Based on
Ultraviolet Absorption Spectrum Combined With SPA-ELM Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 82-87. |
[13] |
XU Qiu-yi1, 3, 4, ZHU Wen-yue3, 4, CHEN Jie2, 3, 4, LIU Qiang3, 4 *, ZHENG Jian-jie3, 4, YANG Tao2, 3, 4, YANG Teng-fei2, 3, 4. Calibration Method of Aerosol Absorption Coefficient Based on
Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 88-94. |
[14] |
LI Xin-ting, ZHANG Feng, FENG Jie*. Convolutional Neural Network Combined With Improved Spectral
Processing Method for Potato Disease Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 215-224. |
[15] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
|
|
|
|