Detection of Broad Bean Diseases by Fourier Transform Infrared Spectroscopy Combined with Curve Fitting

Fourier transform infrared （FTIR） spectroscopy was used to study diseased leaves in broad bean. Results showed that the infrared spectra of different broad bean diseased leaves were similar, which were mainly made up of the vibrational absorption bands of protein,lipid and polysaccharide.There were minor differences in-cluding the spectral peak position, peak shape and the absorption intensity in the range of 1 800-1 300 cm-1. There were obvious differences among their second derivative spectra in the range of 1 800-1 300 cm-1. After the procedure of the Fourier self-deconvolution and curve fitting of health bean leaves and broad bean diseased leaves in the range of 1 700-1 500 cm-1, three sub-peaks were obtained at 1 550 cm-1 （protein amide Ⅱ band）, 1 605 cm-1 （lignin） and 1 650 cm-1 （protein amide I band）.The ratios of relative areas of the bands of amide Ⅱ, lignin, and amide I were 38.86%, 28.68% and 32.47% in the spectra of healthy leaves, respec-tively. It was distinguished from the diseased leaves （chocolate spot leaf： 15.42%, 42.98% and 41.61%, ring spot leaf：32.39%, 35.63% and 31.98%, rust leaf： 13.97%, 46.40% and 39.65%, yel owing leaf curl disease leaf： 24.01%,36.55% and 39.44%）. For sub-peak area ratios （A1 563/A1 605, A1 650/A1 605 and A1 563/A1 654）, those of four kinds of diseased leaves were smal er than that of healthy leaves, and there were also differences among four kinds of diseased leaves. The results proved that FTIR combining with curve fitting might be a potential y useful tool for detecting different kinds of broad bean diseases.

Molecular structure characterization of middle-high rank coal via^(13)C NMR,XPS,and FTIR spectroscopy

Elemental analysis,nuclear magnetic resonance carbon spectroscopy(^(13)C-NMR),X-ray photoelectron spectroscopy(XPS)and Fourier transform infrared spectroscopy(FTIR)experiments were carried out to determine the existence of aromatic structure,heteroatom structure and fat structure in coal.MS(materials studio)software was used to optimize and construct a 3D molecular structure model of coal.A method for establishing a coal molecular structure model was formed,which was“determination of key structures in coal,construction of planar molecular structure model,and optimization of three-dimensional molecular structure model”.The structural differences were compared and analyzed.The results show that with the increase of coal rank,the dehydrogenation of cycloalkanes in coal is continuously enhanced,and the content of heteroatoms in the aromatic ring decreases.The heteroatoms and branch chains in the coal are reduced,and the structure is more orderly and tight.The stability of the structure is determined by theπ-πinteraction between the aromatic rings in the nonbonding energy EN.Key Stretching Energy The size of EB determines how tight the structure is.The research results provide a method and reference for the study of the molecular structure of medium and high coal ranks.

GP Algorithm-Based Fourier Transform Infrared Spectrum Trend Term Removal Model

Trend term removal is a key step in Fourier transform infrared spectroscopy(FTIR)data pre-processing.The most commonly used least squares(LS)method,although satisfying the real-time requirement,has many problems such as highly correlated initial values of the expression parameters,the need to pre-estimate the trend term shape,and poor fitting accuracy at low signal-to-noise ratios.In order to achieve real-time and robust trend term removal,a new trend term removal method using genetic programming(GP)in symbolic regression is constructed in this paper,and the FTIR simulation interference results and experimental measurement data for common volatile organic compounds(VOCs)gases are analyzed.The results show that the genetic programming algorithm can both reduce the initial value requirement and greatly improve the trend term accuracy by 20%-30% in three evaluation indicators,which is suitable for gas FTIR detection in complex scenarios.

Quantitative Analysis of Lignocellulosic Components of Non-Treated and Steam Exploded Barley, Canola, Oat and Wheat Straw Using Fourier Transform Infrared Spectroscopy

Rapid and cost effective quantification of lignocellulosic components （cellulose, hemicelluloses and lignin） of agricultural biomass （barley, canola, oat and wheat） is essential to determine the effect of various pre-treatments （such as steam explosion） on biomass used as feedstock for the biofuel industry. Fourier Transformed Infrared （FTIR） spectroscopy was considered as an option to achieve this objective. Regression equations having R2 values of 0.89, 0.99 and 0.98 were developed to predict the cellulose, hemicelluloses and lignin compounds of biomass, respectively. The average absolute difference in predicted and measured cellulose, hemicellulose and lignin in agricultural biomass was 7.5%, 2.5%, and 3.8%, respectively.

Identification of Plant-Pathogenic Fungi Using Fourier Transform Infrared Spectroscopy Combined with Chemometric Analyses

Identification of plant-pathogenic fungi is time-consuming due to cultivation and microscopic examination and can be influenced by the interpretation of the micro-morphological characters observed.The present investigation aimed to create a simple but sophisticated method for the identification of plant-pathogenic fungi by Fourier transform infrared(FTIR)spectroscopy.In this study,FTIR-attenuated total reflectance(ATR)spectroscopy was used in combination with chemometric analysis for identification of important pathogenic fungi of horticultural plants.Mixtures of mycelia and spores from 27fungal strains belonging to nine different families were collected from liquid PD or solid PDA media cultures and subjected to FTIR-ATR spectroscopy measurements.The FTIR-ATR spectra ranging from 4 000to 400cm-1 were obtained.To classify the FTIRATR spectra,cluster analysis was compared with canonical vitiate analysis(CVA)in the spectral regions of3 050~2 800and 1 800~900cm-1.Results showed that the identification accuracies achieved 97.53%and99.18%for the cluster analysis and CVA analysis,respectively,demonstrating the high potential of this technique for fungal strain identification.

Rapid Method for the Determination of Total Monosaccharide in <i>Enterobacter cloacae</i>Strains Using Fourier Transform Infrared Spectroscopy

Fourier Transform Infrared Spectroscopy (FTIR) was used to quantify total monosaccharide content in the bacterium Enterobacter cloacae and several of its biofilm mutants. Bacterial biofilm samples were grown on trypticase soy agar, and 30 μL aliquots of aqueous sample bacterial plus biofilm were deposited into the center of barium fluoride crystals and dried at 50°C for 1-hour before being scanned by FTIR. The total amounts of monosaccharides were estimated using the absorbance of the mono-saccharide peak, 1192 - 958 cm–1, and normalized using the amide II peak, 1585 - 1483 cm–1. This method provided a linear correlation between the absorbance of the monosaccharide peak and concentration of monosaccharide in standard monosaccharides, fructose, glucose, mannose, and rhamnose, over a concentration range of 0.5 - 2.0 mg/mL.

模块化FTIR测定FCV用氢气痕量杂质

设计构建了用于质子交换膜燃料电池汽车(FCV)氢气痕量杂质的模块化FTIR分析表征平台,开发了适用于氢气痕量杂质的分析方法,无需处理一次进样,能够同时快速测定HCOOH、CO、CO_(2)、NH_(3)、H_(2)O、CH_(4)、C_(2)H_(4)、C_(2)H_(6)、HCHO等多种痕量级别杂质。考察了各含氢杂质分析的影响因素,精选了杂质物种定性区域,优化了定量方法,提出了实用性强的定量检出限,在降低了背景气和空白气纯度的要求也能确保限值浓度准确测定。九种杂质的计算方法检出限达到ASTM D7653-18参考值,其定量限也均低于ISO 14687:2019相应的限值,定量线性范围约2个数量级,相关系数均大于0.999,准确度和精密度均不高于10%,通过ISO 21087:2019规定的方法适用性验证规则,满足ISO 14687:19相应的质控标准。根据不同场景需求,样品模块、气体净化控制模块、配气模块、红外分析模块和尾气处理模块可以有机结合并具有良好的实用性和扩展性,尾气处理后氢气浓度可降至100μmol·mol^(-1)以下排放,满足安全绿色环保的要求。与实验室其他参考方法测定值有较好的一致性,并已在FCV氢气工业生产样品质量检测中得到应用,它将从实验室离线方法逐步发展成为适用于工业不同场景的在线方法,这对燃料级氢气品质体系的建立、纯化技术的推广应用及燃料电池催化剂新材料开发均具有意义。

Fourier Transform Infrared Spectroscopic Study of Sodium Phosphate Solids and Solutions

Solids and solutions of sodium phosphates with various chain lengths have been studied by using the techniques of diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy and attenuated total reflection-Fourier transform infrared (ATR-ETIR) spectroscopy, respectively. A systematic study of the infrared spectra of the solid sodium phosphates has been conducted on the basis of the information available it? the literatures to establish the assignments of the infrared vibrations of the different groups in the phosphate molecules. The infrared spectra of the solutions of sodium phosphates have been analyzed according to the infrared study on the relevant solids, in conjunction with the study of the phosphate species distribution in solution on the basis of the acid-base reaction equilibria. The results obtained have revealed the correlations between the infrared absorption spectra and the structure of the different P-O groups in different kinds of phosphates and are useful in the analysis of phosphate solids and solutions widely used in the various operations of mineral processing.

Thermal,infrared spectroscopy and molecular modeling characterization of bone:An insight in the apatite-collagen type I interaction

An insight into the interaction of collagen type I with apatite in bone tissue was performed by using differential scanning calorimetry, Fourier transform infrared spectroscopy, and molecular modeling. Scanning electron microscopy shows that bone organic content incinerate gradually through the different temperatures studied. We suggest that the amide regions of the type I collagen molecule (mainly C=O groups of the peptide bonds) will be important in the control of the interactions with the apatite from bone. The amide I infrared bands of the collagen type I change when interacting to apatite, what might confirm our assumption. Bone tissue results in a loss of thermal stability compared to the collagen studied apart, as a consequence of the degradation and further combustion of the collagen in contact with the apatite microcrystals in bone. The thermal behavior of bone is very distinctive. Its main typical combustion temperature is at 360°C with a shoulder at 550°C compared to the thermal behavior of collagen, with the mean combustion peak at ca. 500°C. Our studies with molecular mechanics (MM+ force field) showed different interaction energies of the collagen-like molecule and different models of the apatite crystal planes. We used models of the apatite (100) and (001) planes;additional two planes (001) were explored with phosphate-rich and calcium-rich faces;an energetic preference was found in the latter case. We preliminary conclude that the peptide bond of collagen type I is modified when the molecule interacts with the apatite, producing a decrease in the main peak from ca. 500°C in collagen, up to 350°C in bone. The combustion might be related to collagen type I, as the ΔH energies present only small variations between mineralized and non-mineralized samples. The data obtained here give a molecular perspective into the structural properties of bone and the change in collagen properties caused by the interaction with the apatite. Our study can be useful to understand the biological synthesis of minerals as well as the organic-inorganic interaction and the synthesis of apatite implant materials.

云南普阳煤矿新近系褐煤中稀土元素的赋存状态

目前对于褐煤中稀土元素(REY)赋存状态的研究还存在较多疑问,主要体现在两个方面:一是褐煤中REY究竟主要赋存于有机质中还是矿物质中?二是褐煤含有较多容易受到酸溶干扰的含氧官能团,在逐级化学提取实验过程中,高比例HCl提取相中的REY究竟来自于碳酸盐、磷酸盐、单硫化物等矿物还是来自于有机质?着眼于此,本文在逐级化学提取这一常规元素赋存状态研究方法的基础上,结合密度分离实验、红外光谱(FTIR)等手段,对普阳煤矿新近系褐煤中REY的赋存状态进行了系统研究。研究结果表明,普阳煤矿M2和M3煤层为极低—中灰、中高—高挥发分、中硫分褐煤,其组成矿物主要为石英、方解石、高岭石、黄铁矿。M2和M3煤层中常量元素以Al和Si为主,其REY配分模式主要为L型和N型,其中M2煤层中REY轻度富集。逐级化学提取实验结果显示M2和M3煤层中的REY主要被HCl浸取,其次被HNO3浸取,同时还有部分REY保留在残渣中,HF对煤中REY的提取率很低(一般<10%)。密度分离实验结果表明REY主要赋存于低密度组分中。红外光谱分析结果显示煤样品经HCl处理后,酚羟基、羟基等含氧官能团增多,可能是经HCl浸取后样品中与酚羟基、羟基点位结合的REY被浸出迁移所致。综合来看,普阳煤矿M2和M3煤层中的REY主要赋存于有机质中,少量赋存于硅酸盐矿物中,碳酸盐、磷酸盐、单硫化物和双硫化物也可能是部分REY的赋存载体。逐级化学提取实验过程中HCl所提取的异常高比例的REY可能主要来自于有机质。

不同溶剂预处理煤在ScCO_(2)作用下的谱学差异及其机制

为了探究溶剂预处理后超临界二氧化碳(ScCO_(2))对煤化学结构的影响,以长治霍尔辛赫贫煤为研究对象,分别用四氢呋喃(THF)、盐酸(HCI)和氢氟酸(HF)对煤样进行预处理,采用傅里叶红外光谱(FTIR)、固体核磁共振(^(13)C-NMR)和X射线衍射(XRD)测试,探讨了ScCO_(2)对预处理煤的化学组成和结构的影响机理。研究表明:①FITR分峰拟合谱图实验曲线基本一致,而各官能团吸收峰位置及峰强度仍出现一定的偏差,酸(HCI、HF)预处理后部分波段脂肪族峰位消失。两类酸预处理顺序不同,对煤中含氧官能团、脂肪结构及芳烃结构作用效果也不相同。HF-HCI处理后芳烃C=C结构和含氧官能团峰强度均增强,而HCI-HF处理后芳烃C=C结构强度减弱,含氧官能团结构峰强度变化不明显。THF预处理后煤样芳烃C=C结构峰强度增强,含氧官能团结构峰强度降低。总体芳烃C=C结构峰强度远大于脂肪族结构和含氧官能团结构的峰强度。②^(13)C-NMR谱中主要官能团谱峰的化学位移出现了一定程度的偏移,芳香碳f_(a)^(B)化学位移向增大的方向偏移。大分子结构参数中,芳香碳含量远大于脂肪碳含量,说明煤大分子结构中芳香碳占主要组成部分。③XRD谱中002峰与101峰衍射强度明显增大,芳香微晶层网面间距d_(002)呈现升高趋势,说明THF、酸(HF、HCI)处理和ScCO_(2)对煤大分子结构产生了一定程度的改造作用,使煤的大分子网络结构变得疏松,进而使微晶结构参数d_(002)整体增大。研究认为,溶剂作用后煤的谱学特征变化不仅与溶剂性质有关,还与无机酸处理顺序有关,由此使得官能团组成和大分子结构不同程度改变,进而影响ScCO_(2)对预处理煤的萃取效果。

应用衰减全反射红外光谱无损鉴别中国传统手工纸的方法研究

纤维种类鉴别是古代纸张保护的重要基础工作。探究中国传统手工纸的无损纤维鉴别的方法对中国古籍、档案及纸质文物的研究和保护具有重要意义。该研究应用衰减全反射傅里叶变换红外光谱(ATRFTIR)对已知纤维成分的17类64种中国传统手工纸标准样品进行了无损分析,参考纤维素和木质素的红外峰位及部分纸样的X射线衍射(XRD)分析结果确认纸样中的所有红外谱峰归属;并采用分波段比较分析的方法对相似度极高的谱图进行比对分析,分别总结各类纸张在4000~1800、1800~1500、1500~1200和1200~600cm^(-1)四个波段的谱图特征;同时对4cm^(-1)精度的谱图进行二阶导数处理,分别总结各类纸张在1500~1200和1200~900cm^(-1)两个波段的二阶导数谱图特征;最后通过红外结晶指数及其他峰高和峰面积比值计算结果实现对纸类更细致的区分。应用上述方法对16个盲测样品进行了有效性测试,红外分析结果与显微纤维鉴别结果一致,初步证明了该方法在中国传统手工纸无损纤维鉴别上的可行性和有效性。实验结果表明,应用ATR-FTIR无损分析法可对麻、桑构皮、檀皮、瑞香皮和竹几大类原料的传统手工纸纤维类型作出快速而准确的鉴别,对于混料的宣纸也同样适用;但对于显微分析也难以鉴别的亲缘关系较近的植物原料如桑、构皮之间的精细鉴别仍有一定局限性。

基于FTIR的SBS改性沥青老化特性分析

采用宏观和微观分析相结合的方法,细致区分了SBS改性沥青中沥青相和SBS相各自的老化特性.通过常规指标试验评价了SBS改性沥青热氧老化前后的物理性能差异,并将其与基质沥青对比,得出SBS改性沥青的老化规律为黏度增加、变形能力下降.采用傅里叶红外光谱技术(FTIR)定量分析了SBS改性沥青老化前后结构与性能的关系,发现SBS改性沥青在老化时主要发生吸氧反应,并伴随着SBS中丁二烯C—C键的断裂.老化过程中,SBS改性沥青FTIR特征峰的定量变化与其宏观性能间具有明确的定量关系.

高速列车用不饱和聚酯腻子的耐蚀性和老化机理

利用电化学阻抗谱、湿热老化等方法研究了不饱和聚酯腻子的耐蚀性和老化机理。结果表明:在3.5%NaCl溶液中浸泡6 h后,腐蚀溶液便渗入腻子/铝合金界面,并发生电化学腐蚀,不饱和聚酯腻子阻抗下降明显,防护能力下降较快;在湿热老化过程中,不饱和聚酯腻子光泽和色差逐渐增加,表面随着树脂的老化和降解变得光滑且局部产生空洞;不饱和聚酯腻子在老化初期存在着后固化现象;老化和降解更容易在芳香酯的位置发生。

7份不同产地野生甜茶FTIR指纹图谱及其甜茶苷含量比较分析

本研究运用傅里叶变换红外光谱法,采集7份不同产地甜茶叶片的FTIR图谱,结合相关性系数和二阶导数方法对其红外光谱特征进行指认,并比较各供试甜茶的红外指纹图谱及甜茶苷含量间差异。研究结果表明,依据不同产地甜茶红外指纹图谱特征,可以将其归结为3大类Ⅰ类包括:金秀、荔浦、平南、象州及永福等地的甜茶,相关系数在0.992～0.999间;Ⅱ类包括第Ⅰ类型以外的广西其它采集地区的甜茶,相关性系数主要集中在0.984～0.990之间;Ⅲ类包括广东分布区,该区甜茶与广西分布区甜茶的相关系数均在0.986以下。供试甜茶与甜茶苷标准品的光谱特征比较结果表明,不同产地甜茶甜茶苷含量有较大差异。其中,广西金秀和广西平南产的甜茶叶片中甜茶苷含量最高,广西岑溪产的甜茶叶片中甜茶苷含量最低。所以,运用FTIR技术可以对不同产地甜茶进行分析并快速鉴别出不同产地甜茶中甜茶苷含量差异。本研究结果对广西地区甜茶的引种驯化和合理开发利用有一定指导意义。

栽培与野生黄花蒿中化学组分的FTIR表征及青蒿素含量比较分析

本研究运用FTIR技术,对栽培和野生黄花蒿不同部位化学成分的红外光谱特征进行指认,并比较分析两者不同部位青蒿素含量差异。结果显示:酰胺、芳香类物质均以栽培黄花蒿茎和叶片中多;可溶性多糖和糖苷类物质,栽培与野生黄花蒿茎中含量相近,但是,叶片中含量以栽培黄花蒿高;纤维素类物质,栽培茎少于野生茎,而两种黄花蒿叶片的纤维素含量相近。与青蒿素标准品比较,栽培和野生黄花蒿不同部位青蒿素含量有一定差异,其中栽培叶最高,其次是野生叶,栽培茎的含量最低。所以,运用FTIR技术可以快速判断栽培和野生型黄花蒿主要化学成分的差异,本研究对黄花蒿的引种驯化和良种选育工作有一定指导意义。

FTIR-ATR法对人体胆结石中胆固醇和胆红素的定量分析研究

目的:建立傅立叶变换衰减全反射红外光谱法(FTIR-ATR)同时测定胆结石中的胆固醇和胆红素的含量。方法:无需溶解和提取,分别选择胆结石中互不干扰的胆固醇特征吸收峰1049 cm-1和胆红素特征吸收峰1245 cm-1作为各自的定量吸收峰,利用基线吸收度法,直接地同时测定胆结石中的胆固醇和胆红素的含量。结果:胆固醇和胆红素的浓度与其峰高的线性范围分别为32.1-45.2μg·mg-1和13.2-44.2μg·mg-1,相关系数分别为0.9995和0.9987,说明符合Beer-Lambert’s定律。胆固醇和胆红素的回收率分别为100.4%和99.2%,RSD分别为2.1%和2.0%(n=3)。并与HPLC方法所测结果做了比较,发现2个方法所测含量结果基本相符。结论:本方法操作简便,无污染,结果准确可靠,可用于胆结石中胆固醇和胆红素含量的同时测定。

杉木光变色的FTIR光谱分析

暴露于室外环境的木材或木制品,由于受气候因子的作用其表面性状和品质发生劣化,主要表现为木材变色,大大降低其利用价值。以人工林杉木为研究对象,利用模拟太阳辐射的氙光衰减仪对木材表面进行光劣化处理,采用傅里叶变换红外(FTIR)光谱技术分析了木材光变色过程中化学成分的变化,建立了木材变色与化学成分变化之间的关系。试验结果表明:光照过程中,1512,1462,1269和1227cm-1处与木质素有关的吸收峰强度明显降低,1720～1735cm-1处非共轭羰基伸缩振动吸收明显增强,木材表面发生光氧化反应,木质素明显降解,同时不断有新的羰基化合物生成;光照80h内,木质素的降解以及羰基化合物的生成速度较快,此后变化不显著;木材表面部分多糖物质(纤维素和半纤维素)被氧化降解。研究表明,木材光照过程中的颜色变化(ΔE*)与木质素的降解以及羰基官能团的生成密切相关。

ATR-FTIR分析技术在制浆造纸工业中的研究与应用

红外光谱技术在制浆造纸工业的原料分析、浆料检验及纸张检测等方面的应用已取得较大进展,且发挥着重要的作用。但传统的透射红外光谱在分析检测上存在破坏样品结构、制样过程复杂、测定时间较长等缺点,已不能满足现代制浆造纸工业即时检测的需要。为了实现待测样品的在线无损分析,必须有一种快速而非破坏性的红外光谱技术予以辅助。傅里叶变换衰减全反射红外光谱(ATR-FTIR)分析技术作为一项新的无损检测技术,能够迅速、准确地对制浆造纸各生产工段的产品进行全面无损评价,目前已开始介入制浆造纸领域的相关科学研究中。并较为详细地介绍了现阶段ATR-FTIR分析技术在制浆造纸工业各生产工段的研究与应用进展。

基于FTIR分析猪场废水有机物分解过程中组成结构变化

猪场废水排放的环境污染问题日益受到重视,研究废水中有机物的组成结构变化将可为制订合理的污染防治措施提供科学依据。本研究通过设置不同规模化猪场废水的室内培养试验,在培养过程中定期采样,采用抽滤、冷冻干燥等方法获得可溶性有机物(DOM)固体样品;运用FTIR光谱仪采集样品的红外谱图,研究废水中DOM组成结构在有机分解过程中的变化。结果表明,不同猪场来源的废水中DOM具有类似的组成结构,且主要由蛋白质、脂质类、腐殖酸、多糖类和酚类等有机物组成。随着培养天数的增加,与脂质类、蛋白质和酚类等相关的官能团含量逐渐降低并趋于稳定,而与腐殖酸和多糖类相关的官能团显著增加直至平稳。与初始样品相比,培养20天后样品中DOM组成结构以腐殖酸和多糖类为主,表明DOM的腐殖化程度有所提高。此外,与纤维素分子内氢键缔合的羟基(OH)相比,纤维素分子间氢键缔合的羟基降解速率相对更快,而以前者对微生物的降解更为敏感。废水中DOM以酚羟基C—O的降解速率更快,随后是芳香族COOH、糖类C—O和酰胺羰基CO,而糖类C—O倾向于优先被微生物所利用。综上所述,废水中不同的DOM组成结构在有机降解过程中的变化存在一定差异。