1
|
Choi JY, Kim M, Park S, Cho JS, Lim JH, Moon KD. Rapid discrimination of Panax ginseng powder adulterated with various root plants by FT-IR spectroscopy coupled with multivariate analysis. Food Sci Biotechnol 2024; 33:805-815. [PMID: 38371692 PMCID: PMC10866853 DOI: 10.1007/s10068-023-01423-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 08/01/2023] [Accepted: 08/23/2023] [Indexed: 02/20/2024] Open
Abstract
Panax ginseng powder adulterated with other root plants (arrowroot, bellflower, and lance asiabell) was discriminated using Fourier transform infrared (FT-IR) spectroscopy, combined with multivariate analysis. Principal component analysis visually diagnosed the adulteration by showing two distinct clusters based on presence of adulteration. Wavenumber regions (1000 cm-1 and 3300 cm-1) selected from the loading plot associated with the vibration of OH and CH bond in ginsenoside and aromatic compounds. A quantitative model for the content of ginsenosides and specific aromatic compounds as indicators of pure ginseng powder, was developed based on partial least square regression analysis. The performance of the prediction model preprocessed with the Savizky-Golay 1st derivative was improved to R2 of 0.9650, 0.9635, and 0.9591 for Rb1, Rc, and β-Panasinsene, respectively. Therefore, FT-IR technology makes it possible to rapidly authenticate pure ginseng product based on the ginsenoside contents and aroma compound.
Collapse
Affiliation(s)
- Ji-Young Choi
- Food Safety and Distribution Research Group, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju-gun, 55365 South Korea
| | - Minhyun Kim
- School of Food Science & Biotechnology, Kyungpook National University, 80 Daehak-Ro, Daegu, 41566 South Korea
| | - Sanghyeok Park
- School of Food Science & Biotechnology, Kyungpook National University, 80 Daehak-Ro, Daegu, 41566 South Korea
| | - Jeong-Seok Cho
- Food Safety and Distribution Research Group, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju-gun, 55365 South Korea
| | - Jeong Ho Lim
- Food Safety and Distribution Research Group, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju-gun, 55365 South Korea
| | - Kwang-Deog Moon
- School of Food Science & Biotechnology, Kyungpook National University, 80 Daehak-Ro, Daegu, 41566 South Korea
| |
Collapse
|
2
|
Ye XW, Li CS, Zhang HX, Li Q, Cheng SQ, Wen J, Wang X, Ren HM, Xia LJ, Wang XX, Xu XF, Li XR. Saponins of ginseng products: a review of their transformation in processing. Front Pharmacol 2023; 14:1177819. [PMID: 37188270 PMCID: PMC10175582 DOI: 10.3389/fphar.2023.1177819] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 04/17/2023] [Indexed: 05/17/2023] Open
Abstract
The primary processed product of Panax ginseng C.A. Meyer (P. ginseng) is red ginseng. As technology advances, new products of red ginseng have arisen. Red ginseng products, e.g., traditional red ginseng, sun ginseng, black ginseng, fermented red ginseng, and puffed red ginseng, are commonly used in herbal medicine. Ginsenosides are the major secondary metabolites of P. ginseng. The constituents of P. ginseng are significantly changed during processing, and several pharmacological activities of red ginseng products are dramatically increased compared to white ginseng. In this paper, we aimed to review the ginsenosides and pharmacological activities of various red ginseng products, the transformation law of ginsenosides in processing, and some clinical trials of red ginseng products. This article will help to highlight the diverse pharmacological properties of red ginseng products and aid in the future development of red ginseng industrialization.
Collapse
Affiliation(s)
- Xian-Wen Ye
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
- Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
- Institute of Regulatory Science for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Chun-Shuai Li
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Hai-Xia Zhang
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Qian Li
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Shui-Qing Cheng
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Jia Wen
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Xuan Wang
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Hong-Min Ren
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Liang-Jing Xia
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Xu-Xing Wang
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
| | - Xin-Fang Xu
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
- Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
- Institute of Regulatory Science for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Xin-Fang Xu, ; Xiang-Ri Li,
| | - Xiang-Ri Li
- Centre of TCM Processing Research, Beijing University of Chinese Medicine, Beijing, China
- Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Xin-Fang Xu, ; Xiang-Ri Li,
| |
Collapse
|
3
|
A Comparative Study on Analysis of Ginsenosides in American Ginseng Root Residue by HPLC-DAD-ESI-MS and UPLC-HRMS-MS/MS. Molecules 2022; 27:molecules27103071. [PMID: 35630548 PMCID: PMC9143245 DOI: 10.3390/molecules27103071] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/03/2022] [Accepted: 05/07/2022] [Indexed: 11/16/2022] Open
Abstract
Ginseng (Panax quinquefolius), a popular herbal and nutritional supplement consumed worldwide, has been demonstrated to possess vital biological activities, which can be attributed to the presence of ginsenosides. However, the presence of ginsenosides in ginseng root residue, a by-product obtained during processing of ginseng beverage, remains unexplored. The objectives of this study were to develop a high-performance liquid chromatography-photodiode array detection-mass spectrometry (HPLC-DAD-ESI-MS) and an ultra-high-performance-liquid-chromatography-tandem mass spectrometry (UPLC-HRMS-MS/MS) method for the comparison of ginsenoside analysis in ginseng root residue. Results showed that by employing a Supelco Ascentis Express C18 column (150 × 4.6 mm ID, particle size 2.7 μm) and a gradient mobile phase of deionized water and acetonitrile with a flow rate at 1 mL/min and detection at 205 nm, a total of 10 ginsenosides, including internal standard saikosaponin A, were separated within 18 min and detected by HPLC-DAD-ESI-MS. Whereas with UPLC-HRMS-MS/MS, all the 10 ginsenosides were separated within six minutes by using an Acquity UPLC BEH C18 column (50 × 2.1 mm ID, particle size 1.7 μm, 130 Å) and a gradient mobile phase of ammonium acetate and acetonitrile with column temperature at 50 °C, flow rate at 0.4 mL/min and detection by selected reaction monitoring (SRM) mode. High accuracy and precision was shown, with limit of quantitation (LOQ) ranging from 0.2−1.9 μg/g for HPLC-DAD-ESI-MS and 0.269−6.640 ng/g for UPLC-HRMS-MS/MS. The contents of nine ginsenosides in the ginseng root residue ranged from <LOQ-26.39 mg/g by HPLC-DAD-ESI-MS and <LOQ-21.25 mg/g by UPLC-HRMS-MS/MS, with a total amount of 38.37 and 34.71 mg/g, respectively.
Collapse
|
4
|
Li X, Liu J, Zuo TT, Hu Y, Li Z, Wang HD, Xu XY, Yang WZ, Guo DA. Advances and challenges in ginseng research from 2011 to 2020: the phytochemistry, quality control, metabolism, and biosynthesis. Nat Prod Rep 2022; 39:875-909. [PMID: 35128553 DOI: 10.1039/d1np00071c] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Covering: 2011 to the end of 2020Panax species (Araliaceae), particularly P. ginseng, P. quinquefolius, and P. notoginseng, have a long history of medicinal use because of their remarkable tonifying effects, and currently serve as crucial sources for various healthcare products, functional foods, and cosmetics, aside from their vast clinical preparations. The huge market demand on a global scale prompts the continuous prosperity in ginseng research concerning the discovery of new compounds, precise quality control, ADME (absorption/disposition/metabolism/excretion), and biosynthesis pathways. Benefitting from the ongoing rapid development of analytical technologies, e.g. multi-dimensional chromatography (MDC), personalized mass spectrometry (MS) scan strategies, and multi-omics, highly recognized progress has been made in driving ginseng analysis towards "systematicness, integrity, personalization, and intelligentization". Herein, we review the advances in the phytochemistry, quality control, metabolism, and biosynthesis pathway of ginseng over the past decade (2011-2020), with 410 citations. Emphasis is placed on the introduction of new compounds isolated (saponins and polysaccharides), and the emerging novel analytical technologies and analytical strategies that favor ginseng's authentic use and global consumption. Perspectives on the challenges and future trends in ginseng analysis are also presented.
Collapse
Affiliation(s)
- Xue Li
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China.
| | - Jie Liu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China.
| | - Tian-Tian Zuo
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China.
| | - Ying Hu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China.
| | - Zheng Li
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China. .,College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Jinghai, Tianjin 301617, China
| | - Hong-da Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China.
| | - Xiao-Yan Xu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China.
| | - Wen-Zhi Yang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China.
| | - De-An Guo
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China. .,Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| |
Collapse
|
5
|
Yue J, Zuo Z, Huang H, Wang Y. Application of Identification and Evaluation Techniques for Ethnobotanical Medicinal Plant of Genus Panax: A Review. Crit Rev Anal Chem 2020; 51:373-398. [PMID: 32166968 DOI: 10.1080/10408347.2020.1736506] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Genus Panax, as worldwide medicinal plants, has a medical history for thousands of years. Most of the entire genus are traditional ethnobotanical medicine in China, Myanmar, Thailand, Vietnam and Laos, which have given rise to international attention and use. This paper reviewed more than 210 articles and related books on the research of Panax medicinal plants and their Chinese patent medicines published in the last 30 years. The purpose was to review and summarize the species classification, geographical distribution, and ethnic minorities medicinal records of the genus Panax, and further to review the analytical tools and data analysis methods for the authentication and quality assessment of Panax medicinal materials and Chinese patent medicines. Five main technologies applied in the identification and evaluation of Panax have been introduced and summarized. Chromatography was the most widely used one. Further research and development of molecular identification technology had the potential to become a mainstream identification technology. In addition, some novel, controversial, and worthy methods including electronic noses, electronic eyes, and DNA barcoding were also introduced. At the same time, more than 80% of the researches were carried out by a combination of chemometric pattern-recognition technologies and multi-analysis technologies. All the technologies and methods applied can provide strong support and guarantee for the identification and evaluation of genus Panax, and also conduce to excellent reference value for the development and in-depth research of new technologies in Panax.
Collapse
Affiliation(s)
- Jiaqi Yue
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China.,College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - Zhitian Zuo
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Hengyu Huang
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - Yuanzhong Wang
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| |
Collapse
|
6
|
Xu XF, Gao Y, Xu SY, Liu H, Xue X, Zhang Y, Zhang H, Liu MN, Xiong H, Lin RC, Li XR. Remarkable impact of steam temperature on ginsenosides transformation from fresh ginseng to red ginseng. J Ginseng Res 2017; 42:277-287. [PMID: 29983609 PMCID: PMC6026370 DOI: 10.1016/j.jgr.2017.02.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Accepted: 02/20/2017] [Indexed: 12/30/2022] Open
Abstract
Background Temperature is an essential condition in red ginseng processing. The pharmacological activities of red ginseng under different steam temperatures are significantly different. Methods In this study, an ultrahigh-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry was developed to distinguish the red ginseng products that were steamed at high and low temperatures. Multivariate statistical analyses such as principal component analysis and supervised orthogonal partial least squared discrimination analysis were used to determine the influential components of the different samples. Results The results showed that different steamed red ginseng samples can be identified, and the characteristic components were 20-gluco-ginsenoside Rf, ginsenoside Re, ginsenoside Rg1, and malonyl-ginsenoside Rb1 in red ginseng steamed at low temperature. Meanwhile, the characteristic components in red ginseng steamed at high temperature were 20R-ginsenoside Rs3 and ginsenoside Rs4. Polar ginsenosides were abundant in red ginseng steamed at low temperature, whereas higher levels of less polar ginsenosides were detected in red ginseng steamed at high temperature. Conclusion This study makes the first time that differences between red ginseng steamed under different temperatures and their ginsenosides transformation have been observed systematically at the chemistry level. The results suggested that the identified chemical markers can be used to illustrate the transformation of ginsenosides in red ginseng processing.
Collapse
Affiliation(s)
- Xin-Fang Xu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Yan Gao
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Shu-Ya Xu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Huan Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Xue Xue
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Ying Zhang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Hui Zhang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Meng-Nan Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Hui Xiong
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Rui-Chao Lin
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
- Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Xiang-Ri Li
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
- Beijing Key Laboratory for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
- Corresponding author. School of Chinese Materia Medica, Beijing University of Chinese Medicine, Number 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
| |
Collapse
|
7
|
Nie L, Dai Z, Ma S. Enhanced Accuracy of Near-Infrared Spectroscopy for Traditional Chinese Medicine with Competitive Adaptive Reweighted Sampling. ANAL LETT 2016. [DOI: 10.1080/00032719.2016.1143479] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
8
|
Marques Junior JM, Muller ALH, Foletto EL, da Costa AB, Bizzi CA, Irineu Muller E. Determination of propranolol hydrochloride in pharmaceutical preparations using near infrared spectrometry with fiber optic probe and multivariate calibration methods. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2015; 2015:795102. [PMID: 25861516 PMCID: PMC4377514 DOI: 10.1155/2015/795102] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Revised: 01/19/2015] [Accepted: 02/13/2015] [Indexed: 06/04/2023]
Abstract
A method for determination of propranolol hydrochloride in pharmaceutical preparation using near infrared spectrometry with fiber optic probe (FTNIR/PROBE) and combined with chemometric methods was developed. Calibration models were developed using two variable selection models: interval partial least squares (iPLS) and synergy interval partial least squares (siPLS). The treatments based on the mean centered data and multiplicative scatter correction (MSC) were selected for models construction. A root mean square error of prediction (RMSEP) of 8.2 mg g(-1) was achieved using siPLS (s2i20PLS) algorithm with spectra divided into 20 intervals and combination of 2 intervals (8501 to 8801 and 5201 to 5501 cm(-1)). Results obtained by the proposed method were compared with those using the pharmacopoeia reference method and significant difference was not observed. Therefore, proposed method allowed a fast, precise, and accurate determination of propranolol hydrochloride in pharmaceutical preparations. Furthermore, it is possible to carry out on-line analysis of this active principle in pharmaceutical formulations with use of fiber optic probe.
Collapse
Affiliation(s)
| | | | - Edson Luiz Foletto
- Departamento de Engenharia Química, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, Brazil
| | - Adilson Ben da Costa
- Departamento de Biologia e Farmácia, Laboratório de Limnologia, Universidade de Santa Cruz do Sul, 96815-900 Santa Cruz do Sul, RS, Brazil
| | - Cezar Augusto Bizzi
- Departamento de Química, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, Brazil
| | - Edson Irineu Muller
- Departamento de Química, Universidade Federal de Santa Maria, 97105-900 Santa Maria, RS, Brazil
| |
Collapse
|
9
|
Zhou C, Jiang W, Cheng Q, Via BK. Multivariate Calibration and Model Integrity for Wood Chemistry Using Fourier Transform Infrared Spectroscopy. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2015; 2015:429846. [PMID: 26576321 PMCID: PMC4630394 DOI: 10.1155/2015/429846] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Revised: 09/16/2015] [Accepted: 09/28/2015] [Indexed: 05/16/2023]
Abstract
This research addressed a rapid method to monitor hardwood chemical composition by applying Fourier transform infrared (FT-IR) spectroscopy, with particular interest in model performance for interpretation and prediction. Partial least squares (PLS) and principal components regression (PCR) were chosen as the primary models for comparison. Standard laboratory chemistry methods were employed on a mixed genus/species hardwood sample set to collect the original data. PLS was found to provide better predictive capability while PCR exhibited a more precise estimate of loading peaks and suggests that PCR is better for model interpretation of key underlying functional groups. Specifically, when PCR was utilized, an error in peak loading of ±15 cm(-1) from the true mean was quantified. Application of the first derivative appeared to assist in improving both PCR and PLS loading precision. Research results identified the wavenumbers important in the prediction of extractives, lignin, cellulose, and hemicellulose and further demonstrated the utility in FT-IR for rapid monitoring of wood chemistry.
Collapse
Affiliation(s)
- Chengfeng Zhou
- Forest Products Development Center, School of Forestry and Wildlife Sciences, Auburn University, 520 Devall Drive, Auburn, AL 36849, USA
- Center for Bioenergy and Bioproducts, Biosystems Engineering, Auburn University, 520 Devall Drive, Auburn, AL 36849, USA
| | - Wei Jiang
- Forest Products Development Center, School of Forestry and Wildlife Sciences, Auburn University, 520 Devall Drive, Auburn, AL 36849, USA
- College of Textiles, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Qingzheng Cheng
- Forest Products Development Center, School of Forestry and Wildlife Sciences, Auburn University, 520 Devall Drive, Auburn, AL 36849, USA
| | - Brian K. Via
- Forest Products Development Center, School of Forestry and Wildlife Sciences, Auburn University, 520 Devall Drive, Auburn, AL 36849, USA
- Center for Bioenergy and Bioproducts, Biosystems Engineering, Auburn University, 520 Devall Drive, Auburn, AL 36849, USA
- *Brian K. Via:
| |
Collapse
|