Rapid and quantitative detection of the microbial spoilage in chicken meat by diffuse reflectance spectroscopy (600-1100 nm)

AIMS: To evaluate the feasibility of visible and short-wavelength near-infrared (SW-NIR) diffuse reflectance spectroscopy (600-1100 nm) to quantify the microbial loads in chicken meat and to develop a rapid methodology for monitoring the onset of spoilage. METHODS AND RESULTS: Twenty-four prepackaged fresh chicken breast muscle samples were prepared and stored at 21 degrees C for 24 h. Visible and SW-NIR was used to detect and quantify the microbial loads in chicken breast muscle at time intervals of 0, 2, 4, 6, 8, 10, 12 and 24 h. Spectra were collected in the diffuse reflectance mode (600-1100 nm). Total aerobic plate count (APC) of each sample was determined by the spread plate method at 32 degrees C for 48 h. Principal component analysis (PCA) and partial least squares (PLS) based prediction models were developed. PCA analysis showed clear segregation of samples held 8 h or longer compared with 0-h control. An optimum PLS model required eight latent variables for chicken muscle (R = 0.91, SEP = 0.48 log CFU g(-1)). CONCLUSIONS: Visible and SW-NIR combined with PCA is capable of perceiving the change of the microbial loads in chicken muscle once the APC increases slightly above 1 log cycle. Accurate quantification of the bacterial loads in chicken muscle can be calculated from the PLS-based prediction method. SIGNIFICANCE AND THE IMPACT OF THE STUDY: Visible and SW-NIR spectroscopy is a technique with a considerable potential for monitoring food safety and food spoilage. Visible and SW-NIR can acquire a metabolic snapshot and quantify the microbial loads of food samples rapidly, accurately, and noninvasively. This method would allow for more expeditious applications of quality control in food industries.     

Enzymatic transformations of cellulose assessed by quantitative high-throughput fourier transform infrared spectroscopy (QHT-FTIR)

Enzymatic hydrolysis of bacterial microcrystalline cellulose was performed with the thermophile enzyme system of Thermobifida fusca Cel5A (a classical endocellulase), Cel6B (a classical exocellulase), Cel9A (a processive endoglucanase), and a synergistic mixture of endo- and exocellulases. Different concentrations of enzymes were used to vary the extent of hydrolysis. Following standardization, the concentration of cellulose was directly correlated to the absorbance of the cellulose signals. Crystallinity indexes (Lateral Order Index (LOI), Total Crystallinity Index, Hydrogen Bonding Index), allomorphic composition, conversion of specific atomic bonds (including the β-glucosidic bonds) were extracted from the spectral data obtained by QHT-FTIR. By quantifying the disruption of the H-bonding in complement to the sugar production, a more dynamic and complex picture of the role of cellulases in the hydrolysis of cellulose was demonstrated. The disruption of the H-bonding within the cellulose matrix appears as a quantifiable activity of the enzymes which was not correlated with the production of sugars in solution. The results also demonstrate that Cel9A activities from the cellulose transformation standpoint were partially similar to the activities of the synergistic mixture. In addition, Cel9A preferentially degraded the I(α) fraction of the crystalline cellulose while the Cel5A and Cel6B synergistic mixture preferentially degraded the I(β) fraction.     

Rapid monitoring of recombinant antibody production by mammalian cell cultures using fourier transform infrared spectroscopy and chemometrics

Fourier transform infrared (FT‐IR) spectroscopy combined with multivariate statistical analyses was investigated as a physicochemical tool for monitoring secreted recombinant antibody production in cultures of Chinese hamster ovary (CHO) and murine myeloma non‐secreting 0 (NS0) cell lines. Medium samples were taken during culture of CHO and NS0 cells lines, which included both antibody‐producing and non‐producing cell lines, and analyzed by FT‐IR spectroscopy. Principal components analysis (PCA) alone, and combined with discriminant function analysis (PC‐DFA), were applied to normalized FT‐IR spectroscopy datasets and showed a linear trend with respect to recombinant protein production. Loadings plots of the most significant spectral components showed a decrease in the C–O stretch from polysaccharides and an increase in the amide I band during culture, respectively, indicating a decrease in sugar concentration and an increase in protein concentration in the medium. Partial least squares regression (PLSR) analysis was used to predict antibody titers, and these regression models were able to predict antibody titers accurately with low error when compared to ELISA data. PLSR was also able to predict glucose and lactate amounts in the medium samples accurately. This work demonstrates that FT‐IR spectroscopy has great potential as a tool for monitoring cell cultures for recombinant protein production and offers a starting point for the application of spectroscopic techniques for the on‐line measurement of antibody production in industrial scale bioreactors. Biotechnol. Bioeng. 2010; 106: 432–442. © 2010 Wiley Periodicals, Inc.     

Chloride cofactor in the photosynthetic oxygen-evolving complex studied by fourier transform infrared spectroscopy

Fourier transform infrared (FTIR) spectroscopy, using midfrequency S2/S1 FTIR difference spectra, has been applied to studies of chloride cofactor in the photosynthetic oxygen-evolving complex (OEC) to determine the effects of Cl(-) depletion and monovalent anion substitution. Cl(-) depletion resulted in the disappearance of a large part of the amide I and II vibrational modes, and induced characteristic modification in the features of the stretching modes of the carboxylate ligands of the Mn cluster. The normal spectral features were largely restored by replenishment of Cl(-) except for some changes in amide bands. The overall features of Br(-) -, I(-) -, or NO3(-) -substituted spectra were similar to those of the Cl(-) -reconstituted spectrum, consistent with their ability to support oxygen evolution. In contrast, the spectrum was significantly altered by the replacement of Cl(-) with F- or CH3COO(-), which resulted in marked suppression and distortion of both the carboxylate and amide bands. The activity of oxygen evolution restored by NO3(-) was as high as that by Cl(-) when measured under limited light conditions, indicating that the NO3(-) -substituted OEC is fully active in oxygen evolution, although with a slow turnover rate. The double-difference spectrum between the 14NO3(-) -substituted and 15NO3- -substituted S2/S1 difference spectrum showed isotopic bands for asymmetric NO stretching mode in the region of 1400-1300 cm(-1) due to NO3(-) bound to the Cl(-) site. This demonstrated structural coupling between the Cl(-) site and the Mn cluster. A proposed model for the isotopic bands suggested that Cl(-) as well as NO3(-) is not directly associated with the Mn cluster and exists in a more symmetric configuration and weaker binding state in the S2 state than in the S1 state. These results also suggest that Cl(-) is required for changes in the structure of the specific carboxylate ligand of the Mn cluster as well as the peptide backbone of protein matrixes upon the transition from S1 to S2.     

Rapid identification of coagulase-negative staphylococci by Fourier transform infrared spectroscopy

Coagulase-negative staphylococci (CNS), frequently associated with both community-acquired and nosocomial bloodstream infections, must be distinguished from Staphylococcus aureus for clinical purposes. Conventional methods are too laborious and time-consuming and often lack sensitivity to CNS. Fourier transform infrared (FTIR) spectroscopy combined with the use of a universal growth medium (Que-Bact Universal Medium No. 2) and chemometrics was evaluated for its potential as a rapid and simple clinical tool for making this distinction. FTIR spectra of 11 methicillin-sensitive and 11 methicillin-resistant CNS isolates as well as 25 methicillin-sensitive, 47 methicillin-resistant, 34 borderline oxacillin-resistant and 35 glycopeptide intermediate S. aureus isolates were obtained from dried films of stationary-phase cells grown on the universal medium. Principal component analysis (PCA), self-organizing maps, and the K-nearest neighbor algorithm were employed to cluster the different phenotypes based on similarity of their FTIR spectra. PCA of the first-derivative normalized spectral data from a single narrow region (2888-2868 cm(-1)) yielded complete differentiation of CNS from both methicillin-sensitive and methicillin-resistant S. aureus. The rate of correct classification was somewhat reduced, from 100% to 90%, after inclusion of borderline oxacillin-resistant and glycopeptide intermediate S. aureus strains in the data set. Differentiation based on the data in broader spectral regions was much less reliable. The results of this study indicate that with proper spectral region selection, FTIR spectroscopy and cluster analysis may provide a simple and accurate means of CNS species identification.     

Effect of anion binding on iodopsin studied by low-temperature fourier transform infrared spectroscopy.

The effect of anion binding on iodopsin, the chicken red-sensitive cone visual pigment, was studied by measurements of the Fourier transform infrared spectra of chloride- and nitrate-bound forms of iodopsin at 77 K. In addition to the blue shift of the absorption maximum upon substituting nitrate for chloride, the C=C stretching vibrations of iodopsin and its photoproducts were upshifted 5-6 cm(-)(1). The C=NH and C=ND stretching vibrations were the same in wavenumber between the chloride- and nitrate-bound forms, indicating that the binding of either chloride or nitrate has no effect on the interaction between the protonated Schiff base and the counterion. The vibrational bands of iodopsin in the fingerprint and the hydrogen out-of-plane wagging regions were insensitive to anion substitution, suggesting that local chromophore interactions with the anions are not crucial for the absorption spectral shift. In contrast, bathoiodopsin in the chloride-bound form exhibited an intense C(14)H wagging mode, whose intensity was considerably weakened upon substitution of nitrate for chloride. These results suggest that binding of chloride changes the environment near the C(14) position of the chromophore, which could be one of the factors in the thermal reverse reaction of bathoiodopsin to iodopsin in the chloride-bound form.     

Low-frequency fourier transform infrared spectroscopy of the oxygen-evolving complex in Photosystem II*

In this communication, we report our progress on the development of low-frequency Fourier transform infrared (FTIR) spectroscopic techniques to study metal-substrate and metal-ligand vibrational modes in the Photosystem II/oxygen-evolving complex (PS II/OEC). This information will provide important structural and mechanistic insight into the OEC. Strong water absorption in the low-frequency region (below 1000 cm⁻¹), a lack of suitable materials, and temperature control problems have limited previous FTIR spectroscopic studies of the OEC to higher frequencies (>1000 cm⁻¹). We have overcome these technical difficulties that have blocked access to the low-frequency region and have developed successive instruments that allow us to move deeper into the low-frequency region (down to 350 cm⁻¹), while increasing both data accumulation efficiency and S/N ratio. We have detected several low-frequency modes in the S₂/S₁spectrum that are specifically associated with these two states. Our results demonstrate the utility of FTIR techniques in accessing low-frequency modes in Photosystem II and in proteins generally. This revised version was published online in June 2006 with corrections to the Cover Date.     

Lipid reorganization in biological membranes. A study by fourier transform infrared difference spectroscopy

The first application of infrared difference spectroscopy to the study of a natural biological membrane is described. Perdeuterated palmitic acid was incorporated biosynthetically into the lipids of the plasma membrane of Acholeplasma laidlawii and the temperature-induced structural rearrangement of the endogenous lipids monitored via their C²H vibrational modes. Changes in infrared parameters were studied between 0 and 50°C and contrasted with those occurring in the model membrane system of $\text{1,2-}\text{diperdeuteropalmitoyl}\text{-sn-}\text{glycero-3-phosphocholine}$. The phase transition of the biomembrane occurs over a 20°C range with the temperature of the maximum rate of change of absorbance coinciding with that of the sharp phase transition of the model membrane.     

香根草对镉毒害的生理响应——采用傅里叶变换红外光谱法(FTIR)

为阐明香根草(Vetiveria zizanioides)对镉(Cd~(2+))胁迫的耐性机理及其对重金属Cd~(2+)的积累特征,通过水培试验,采用傅里叶变换红外光谱法(FTIR)研究在不同Cd~(2+)浓度处理时香根草根、茎、叶化学组分的变化,同时测定香根草叶Cd~(2+)的亚细胞分布和其重金属Cd~(2+)含量。结果表明,其根组织在2927 cm~(-1)处峰高先下降后上升,表明在低Cd~(2+)(Cd~(2+)3 mg/L)处理条件下香根草分泌的有机酸不断螯合Cd~(2+),造成羧酸O—H的减少,但随着Cd~(2+)含量的升高,其羧酸螯合力变弱,有机酸含量渐渐升高;茎组织在1631 cm~(-1)峰高处先上升后下降,表明在低Cd~(2+)(Cd~(2+)3 mg/L)处理条件下香根草产生氨基酸、多肽和蛋白质等物质,通过渗透调节来增强抗逆性,但随着Cd~(2+)含量的升高,蛋白质二级结构中肽键间氢键的结合力受影响较大。当Cd~(2+)处理浓度为7 mg/L时,香根草生长10 d后,地上部分及根组织富集Cd~(2+)量分别高达212.49 mg/kg和290.59 mg/kg。香根草地上部分的Cd~(2+)含量随Cd~(2+)处理浓度的增加而增加。香根草叶片富集的Cd~(2+)主要分布于细胞质中,其次为细胞壁,而在线粒体和叶绿体中含量最低。     

Application of fourier transform infrared spectroscopy for the study of lignins of herbaceous plants

The results of a study of dioxane lignins isolated from several herbaceous plants using FTIR spectroscopy are presented in the work. The presence of a strong relationship between parameters of absorption bands and the content of various structural units and functional groups of lignins has been demonstrated.     

Changes in protein secondary structure during gluten deformation studied by dynamic fourier transform infrared spectroscopy

Fourier transform infrared (FT-IR) spectroscopy was used to monitor changes in the secondary structure of wheat prolamins, the main components of gluten, during mechanical deformation in a series of cycles of extension and relaxation. A sample derived from protein bodies isolated from developing grain showed a buildup of persistent beta-sheet structure. In gluten, the ratio of beta-sheet to random and beta-turn structures changed on extension. After the applied force was released, the sample recovered some of its original shape and structure, but the material became stiffer in consecutive extension cycles. The relationship between gluten structure and mechanical properties is discussed in terms of a model in which conversion of beta-turn to beta-sheet structure is a response to extension and a means by which elastic energy is stored in the system.     

Low-frequency fourier transform infrared spectroscopy of the oxygen-evolving and quinone acceptor complexes in photosystem II

The low-frequency (<1000 cm-1) region of the IR spectrum has the potential to provide detailed structural and mechanistic insight into the photosystem II/oxygen evolving complex (PSII/OEC). A cluster of four manganese ions forms the core of the OEC and diagnostic manganese-ligand and manganese-substrate modes are expected to occur in the 200-900 cm-1 range. However, water also absorbs IR strongly in this region, which has limited previous Fourier transform infrared (FTIR) spectroscopic studies of the OEC to higher frequencies (>1000 cm-1). We have overcome the technical obstacles that have blocked FTIR access to low-frequency substrate, cofactor, and protein vibrational modes by using partially dehydrated samples, appropriate window materials, a wide-range MCT detector, a novel band-pass filter, and a closely regulated temperature control system. With this design, we studied PSII/OEC samples that were prepared by brief illumination of O2 evolving and Tris-washed preparations at 200 K or by a single saturating laser flash applied to O2 evolving and inhibited samples at 250 K. These protocols allowed us to isolate low-frequency modes that are specific to the QA-/QA and S2/S1 states. The high-frequency FTIR spectra recorded for these samples and parallel EPR experiments confirmed the states accessed by the trapping procedures we used. In the S2/S1 spectrum, we detect positive bands at 631 and 602 cm-1 and negative bands at 850, 679, 664, and 650 cm-1 that are specifically associated with these two S states. The possible origins of these IR bands are discussed. For the low-frequency QA-/QA difference spectrum, several modes can be assigned to ring stretching and bending modes from the neutral and anion radical states of the quinone acceptor. These results provide insight into the PSII/OEC and demonstrate the utility of FTIR techniques in accessing low-frequency modes in proteins.     

Rapid estimation of spoilage bacterial load in aerobically stored meat by a quantitative polymerase chain reaction

We report a quantitative PCR which utilizes primers from a conserved 23S rDNA sequence identified in nine different spoilage bacteria commonly present in meat. The PCR detected the spoilage bacteria by amplifying a specific 207 bp sequence from their chromosomal DNA. Quantification of PCR product by electrochemiluminescence revealed that the concentration of the amplified product was dependent on cycle number and the initial number of bacteria present in the sample. Statistical analysis of the results indicated a correlation coefficient of 0.94 (P < 0.001) between aerobic plate count and QPCR luminosity units.     

Rapid screening of the fermentation profiles of wine yeasts by Fourier transform infrared spectroscopy

A rapid screening method for the evaluation of the major fermentation products of Saccharomyces wine yeasts was developed using Fourier transform infrared spectroscopy and principal component factor analysis. Calibration equations for the quantification of volatile acidity, glycerol, ethanol, reducing sugar and glucose concentrations in fermented Chenin blanc and synthetic musts were derived from the Fourier transform infrared spectra of small-scale fermentations. The accuracy of quantification of volatile acidity in both Chenin blanc and synthetic must was excellent, and the standard error of prediction was 0.07 g l(-1) and 0.08 g l(-1), respectively. The respective standard error of prediction in Chenin blanc and synthetic musts for ethanol was 0.32% v/v and 0.31% v/v, for glycerol was 0.38 g l(-1) and 0.32 g l(-1), for reducing sugar in Chenin blanc must was 0.56 g l(-1) and for glucose in synthetic must was 0.39 g l(-1). These values were in agreement with the accuracy obtained by the respective reference methods used for the quantification of the components. The screening method was applied to quantify the fermentation products of glycerol-overproducing hybrid yeasts and commercial wine yeasts. Principal component factor analysis of the fermentation data facilitated an overall comparison of the fermentation profiles (in terms of the components tested) of the strains. The potential of Fourier transform infrared spectroscopy as a tool to rapidly screen the fermentative properties of wine yeasts and to speed up the evaluation processes in the initial stages of yeast strain development programs is shown.     

The application of fourier transform infrared transmission spectroscopy to the study of model and natural membranes

Fourier transform infrared transmission spectroscopy is presented as a technique with great potential for the study of aqueous membrane preparations. The methodology of sample preparation, spectra recording and data reduction is outlined. Spectral parameters are derived from FT-IR difference spectra which provide an extremely sensitive means to monitor the temperature-dependent behavior of individual vibrational modes in model and natural membranes.     

Host cell protein quantification by fourier transform mid infrared spectroscopy (FT‐MIR)

Process development in up‐ and downstream processing requires enhanced, non‐time‐consuming, and non‐expensive monitoring techniques to track product purity, for example, the level of endotoxins, viral particles, and host cell proteins (HCPs). Currently, HCP amounts are measured by laborious and expensive HCP‐enzyme‐linked immunosorbent assay (ELISA) assays best suited for measuring HCP amounts in the low concentration regime. The measurement of higher HCP amounts using this method requires dilution steps, adding dilution errors to the measurement. In this work we evaluated the suitability of attenuated total reflection spectroscopy for HCP quantification in process development, using clarified cell culture fluid from monoclonal antibody producing Chinese hamster ovary‐cells after treatment with different polyelectrolytes for semi‐selective clarification. Forty undiluted samples were chosen for multivariate data analysis in the middle infrared range and predicted HCP‐values were in good agreement with results obtained by an ELISA‐assay, suggesting the suitability of this new method for HCP‐quantification. As this method is able to quantify HCP titers ranging from approximately at least 20,000–200,000 ng mL^?1, it is suitable especially for monitoring of process development steps with higher HCP concentrations, omitting dilution errors associated with ELISA assays. Biotechnol. Bioeng. 2013; 110: 252–259. © 2012 Wiley Periodicals, Inc.     

基于FTIR的三倍体罗汉果花粉直感效应研究

以四个品系的三倍体罗汉果雌株为材料,用五种不同的二倍体雄花分别对其授粉,利用傅里叶变换红外光谱法(FTIR)测定了其子代果实的红外光谱,并运用主成分分析和聚类分析研究了授粉雄花对子代果实化学成分的影响。结果表明:不同雄花授粉后,雌株F302、F323和F322各子代果实红外光谱中1 050 cm-1波数附近甜苷物质特征吸收峰的峰高有显著或极显著差异,雌株F311子代无籽果实的差异不显著;同时五种授粉雄花分别对雌株F302、F323、F322和F311子代果实在主成分二维投影图和聚类图中的排序也有明显的影响,但对不同品系雌株子代果实的排序影响不同,从而说明三倍体罗汉果的甜苷物质含量和整体成分含量均有较为明显的花粉直感效应,并且存在品种特异性。     

Rapid detection of meat spoilage by measuring volatile organic compounds by using proton transfer reaction mass spectrometry

The evolution of the microbial spoilage population for air- and vacuum-packaged meat (beef and pork) stored at 4 degrees C was investigated over 11 days. We monitored the viable counts (mesophilic total aerobic bacteria, Pseudomonas spp., Enterobacteriaceae, lactic acid bacteria, and Enterococcus spp.) by the microbiological standard technique and by measuring the emission of volatile organic compounds (VOCs) with the recently developed proton transfer reaction mass spectrometry system. Storage time, packaging type, and meat type had statistically significant (P < 0.05) effects on the development of the bacterial numbers. The concentrations of many of the measured VOCs, e.g., sulfur compounds, largely increased over the storage time. We also observed a large difference in the emissions between vacuum- and air-packaged meat. We found statistically significant strong correlations (up to 99%) between some of the VOCs and the bacterial contamination. The concentrations of these VOCs increased linearly with the bacterial numbers. This study is a first step toward replacing the time-consuming plate counting by fast headspace air measurements, where the bacterial spoilage can be determined within minutes instead of days.     

Rapid quantitative detection of Listeria monocytogenes in meat products by real-time PCR

We describe a quick and simple method for the quantitative detection of Listeria monocytogenes in meat products. This method is based on filtration, Chelex-100-based DNA purification, and real-time PCR. It can detect as few as 100 CFU/g and quantify as few as 1,000 CFU/g, with excellent accuracy compared to that of the plate count method. Therefore, it is a promising alternative for the detection of L. monocytogenes in meat products.     

Cluster analysis of protein fourier transform infrared spectra

Cluster analysis techniques were used to examine a set of Fourier transform infrared (FT-IR) spectra of bovine serum albumin (BSA) in the adsorbed and nonadsorbed states. The region from 1480 to 1600 cm^?1, comprising the amide II band, was used. Spectra were preprocessed to compensate for linear baseline variation, and the single linkage method of cluster analysis was applied. As expected, the spectra of adsorbed and nonadsorbed BSA fell into two distinct clusters. However, no further clustering was observed among the adsorbed BSA spectra on the basis of surface type, suggesting that surface specificity of the spectral changes induced in BSA by adsorption is not detectable above experimental variation. This work illustrates the value of using cluster analysis in the FT-IR study of proteins as a complement to other data analysis methods.