Profiling antibiotic resistance in Escherichia coli strains displaying differential antibiotic susceptibilities using Raman spectroscopy

The rapid identification of antibiotic resistant bacteria is important for public health. In the environment, bacteria are exposed to sub-inhibitory antibiotic concentrations which has implications in the generation of multi-drug resistant strains. To better understand these issues, Raman spectroscopy was employed coupled with partial least squares-discriminant analysis to profile Escherichia coli strains treated with sub-inhibitory concentrations of antibiotics. Clear differences were observed between cells treated with bacteriostatic (tetracycline and rifampicin) and bactericidal (ampicillin, ciprofloxacin, and ceftriaxone) antibiotics for 6 hr: First, atomic force microscopy revealed that bactericidal antibiotics cause extensive cell elongation whereas short filaments are observed with bacteriostatic antibiotics. Second, Raman spectral analysis revealed that bactericidal antibiotics lower nucleic acid to protein (I₈₁₂/I₈₃₀) and nucleic acid to lipid ratios (I₁₄₈₃/I₁₄₅₂) whereas the opposite is seen with bacteriostatic antibiotics. Third, the protein to lipid ratio (I₂₉₃₆/I₂₈₈₅ and I₂₉₃₆/I₂₈₅₀) is a Raman stress signature common to both the classes. These signatures were validated using two mutants, Δlon and ΔacrB, that exhibit relatively high and low resistance towards antibiotics, respectively. In addition, these spectral markers correlated with the emergence of phenotypic antibiotic resistance. Overall, this study demonstrates the efficacy of Raman spectroscopy to identify resistance in bacteria to sub-lethal concentrations of antibiotics.     

Experimental demonstration of the roles of bacteria and bacterivorous protozoa in plankton nutrient cycles

We have used a model food chain composed of a natural bacterial assemblage, a pennate diatom and a bacterivorous microflagellate to investigate the factors controlling the relative importance of bacteria and protozoa as sources for regenerated nitrogen in plankton communities. In bacterized diatom cultures in which diatom growth was nitrogen-limited, the carbon:nitrogen (C:N) ratio of the bacterial substrate greatly affected which population was responsible for the uptake of nitrogen. When nitrogen was added as NH ₄ ⁺ and the cultures were supplemented with glucose, the bacteria competed successfully with the algae for NH ₄ ⁺ and prevented the growth of algae by rapidly assimilating all NH ₄ ⁺ in the cultures. Bacterivorous protozoa inoculated into these cultures grazed the bacterial population and remineralized NH ₄ ⁺ , thus relieving the nitrogen limitation of algal growth and allowing an increase in algal biomass. In contrast, bacteria in cultures supplemented with the amino acid glycine (C:N = 2) were major remineralizers of nitrogen, and the influence of protozoan grazing was minimal. We conclude that the relative importance of bacteria and protozoa as nutrient regenerators in the detrital food loop is dependent largely on the overall carbon:nutrient ratio of the bacterial substrate. The role of bacterivorous protozoa as remineralizers of a growth-limiting nutrient is maximal in situations where the carbon:nutrient ratio of the bacterial substrate is high.     

基于单细菌共焦拉曼光谱的细菌快速检测

【背景】目前利用共焦拉曼光谱技术进行成像和成分鉴别方面的研究较多,但如何快速检测与鉴别多种细菌方面的研究较少。【目的】基于共焦拉曼光谱技术,建立一种在单细菌水平上实现病原微生物快速分类鉴定的方法。【方法】以大肠杆菌为研究对象,利用共焦拉曼光谱技术在单细菌水平上进行了激发波长的优化试验,并研究了大肠杆菌存放时间对单细菌拉曼光谱信息的影响。同时,对白色葡萄球菌、大肠杆菌、金黄色葡萄球菌、沙门氏菌和铜绿假单胞菌进行了共焦拉曼光谱测试,并对5种细菌进行单细菌拉曼光谱的归属分析,设计共焦拉曼光谱技术结合支持向量机(support vector machine,SVM)模型学习算法,进行了5种细菌的快速分类鉴别。【结果】对于单细菌拉曼光谱探测,532、633和785 nm这3种常见的拉曼探测波长中,532 nm具有更好的激发效率和光谱信噪比。结合SVM模型对5种细菌的识别分类,SVM模型的灵敏度和特异性达到了96.00%以上,整体准确率为98.25%。不同存放时间下大肠杆菌拉曼光谱的重复性和稳定性都很好,且SVM模型匹配率均在90.00%以上。【结论】单细菌拉曼光谱结合SVM模型可对5种细菌进行快...     

SERS-based sensor for direct L-selectin level determination in plasma samples as alternative method of tumor detection

Selectin ligands are present on the surface of tumor cells, for this reason lowering the L-selectin level in the blood and lymph can indicate presence of the tumor. Therefore the selectin level in the plasma are potential targets for anticancer therapy. We demonstrate the surface enhanced Raman spectroscopy (SERS)-based sensor for the determination of L-selectin level in biological samples that can be used in medical diagnosis. The combination of SERS with the method of multivariate analysis as principle component analysis (PCA) allows to strengthen the presented data analysis. The loadings of PCA permit to indicate those vibration modes, that are the most important for the assumed identification (bands at 1574, 1450, 1292 cm⁻¹). Two bands at 1286 and 1580 cm⁻¹ were selected for the determination of the calibration curve (bands intensities I₁₂₈₆/I₁₅₈₀ ratio). The L-selectin level of biological samples can be read, directly from the calibration curve. The presented sensor is as a sensitive tool with good specificity and selectivity of L-selectin, even in the case of coexistence of P- and E-selectin.     

The complex of xylan and iodine: the induction and detection of nanoscale order

The complex of xylan and iodine and its formation in a solution of xylan, CaCl₂, and I₂ + KI was investigated by UV/Vis, second-derivative UV/Vis, and Raman spectroscopy. The complex forms only at very high concentrations of CaCl₂, suggesting that when the water available in the solution is not sufficient to fully hydrate the calcium cation the chelation with the hydroxyl groups of the xylan can occur. The electronic spectra indicate that iodine is present in the form of three linear polyiodides I₉³⁻, I₁₁³⁻, and I₁₃³⁻ structures, which the Raman spectra show to be linear aggregates of the I₃⁻ and I₅⁻ substructures. Iodide concentration has a significant influence on the relative population of I₉³⁻, I₁₁³⁻, and I₁₃³⁻, as well as I₃⁻ and I₅⁻, which lead to changes in both the UV/Vis absorption maxima shifts and changes in the Raman spectra. The key difference between this system of complexes with the linear polyiodide aggregates and that of amylose is that the longest aggregate observed with the amylose system, the I₁₅³⁻ polyanion, is not observed with the xylans. This indicates that the ordered arrays in the xylan-iodine complex do not exceed 4 nm in length. It is not possible to conclude at this time whether the ordered segment of the xylan molecule is linear or helical. If it is linear the length of the longest ordered arrays would be eight xylose residues. The number would exceed eight if the xylan molecule were helically wound.     

Evaluation of Bacterial Community Structure and Its Influence on Sulfide Oxidation in a Bio-Leaching Environment

The mechanism of sulfide oxidation by adhering bacteria (direct oxidation mechanism) and by ferric ion in the aqueous phase was studied by quantitative assessment of bacterial activity on the sulfide surface. To probe for the principal bacterial species on the surface and in the supernatant, a library of DNA genes encoding portions of bacterial 16S rRNA was constructed. The PCR-amplified DNA from the bacterial populations was cloned employing PROMEGA's pGEM-T Easy Vector system. The clone frequency indicated that iron-oxidizing bacteria were dominant in the liquid phase, while Acidithiobacillus ferroixdans, which is both sulfur and iron oxidizer was the most prevalent on the sulfide surface. Samples of crystalline pyrite were exposed to the bacterial consortium to evaluate surface alterations caused by bacteria. Chemical (abiotic) oxidation experiments with ferric ion as the oxidant were carried out in parallel with the biological oxidation tests. Changes in the surface topography were monitored by atomic force microscopy (AFM) while changes in surface chemistry were examined by Raman spectroscopy. Bacterial attachment resulted in a 53% increase in the specific surface area in comparison to a 13% increase caused by chemical (ferric ion) oxidation. The oxidation rate was assessed by evaluating the iron release. After corrections for surface area changes, the specific abiotic (oxidation by Fe^{3 +}) and biotic oxidation rates with adhering bacteria were nearly the same (2.6 × 10^{? 9} mol O₂/s/m² versus 3.3 × 10^{? 9} mol O₂/s/m²) at pH = 2 and a temperature of 25°C. The equality of rates implies that the availability of ferric ion as the oxidant is rate limiting.     

Strong Indirect Effects of a Submersed Aquatic Macrophyte, Vallisneria americana, on Bacterioplankton Densities in a Mesotrophic Lake

Phytoplankton and allochthonous matter are important sources of dissolved organic carbon (DOC) for planktonic bacteria in aquatic ecosystems. But in small temperate lakes, aquatic macrophytes may also be an important source of DOC, as well as a source or sink for inorganic nutrients. We conducted micro- and mesocosm studies to investigate the possible effects of an actively growing macrophyte, Vallisneria americana, on bacterial growth and water chemistry in mesotrophic Calder Lake. A first microcosm (1 L) study conducted under high ambient NH ₄ ⁺ levels (NH ₄ ⁺ 10 µM) demonstrated that macrophytes had a positive effect on bacterial densities through release of DOC and P. A second microcosm experiment, conducted under NH ₄ ⁺ -depleted conditions (NH ₄ ⁺ < 10 µM), examined interactive effects of macrophytes and their sediments on bacterial growth and water chemistry. Non-rooted macrophytes had negative effects on bacterial numbers, while rooted macrophytes had no significant effects, despite significant increases in DOC and P. A 70-L mesocosm experiment manipulated macrophytes, as well as N and P supply under surplus NH ₄ ⁺ conditions (NH ₄ ⁺ 10 µM), and measured effects on bacterial growth, Chl a concentrations, and water chemistry. Bacterial growth and Chl a concentrations declined with macrophyte additions, while bacterial densities increased with P addition (with or without N). Results suggest that the submersed macrophyte Vallisneria exerts a strong but indirect effect on bacteria by modifying nutrient conditions and/or suppressing phytoplankton. Effects of living macrophytes differed with ambient nutrient conditions: under NH ₄ ⁺ -surplus conditions, submersed macrophytes stimulated bacterioplankton through release of DOC or P, but in NH ₄ ⁺ -depleted conditions, the influence of Vallisneria was negative or neutral. Effects of living macrophytes on planktonic bacteria were apparently mediated by the macrophytes use and/or release of nutrients, as well as through possible effects on phytoplankton production.     

Time-gated interferometric detection increases Raman scattering to fluorescence signal ratio in biological samples

Attainable levels of signal-to-background ratio (SBR) in Raman spectroscopy of biological samples is limited by the presence of endogenous fluorophores. It is customary to remove the ubiquitous fluorescence background using postacquisition data processing. However, new approaches are needed to reduce background contributions and maximize the fraction of the sensor dynamical range occupied by Raman photons. Time-resolved detection using pulsed lasers and time-gated measurements can be used to address the signal-to-background problem in biological samples by limiting light detection to nonresonant interaction phenomena with relaxation time scales occurring on sub-nanosecond time scales, thereby excluding contributions from resonant phenomena such as fluorescence. A time-gated Fourier-transform spectrometer was assembled using a commercially available interferometer, a single channel single-photon avalanche diode and time tagging electronics. A time gate of 300 ps increased the signal-to-background-ratio of the 1440 cm^?1 Raman band from 36% to 69% in an olive oil sample hereby demonstrating the potential of this approach for autofluorescence suppression.      

Raman 18O-labeling of bacteria in visible and deep UV-ranges

Raman stable isotope labeling with ²H, ¹³C or ¹⁵N has been reported as an elegant approach to investigate cellular metabolic activity, which is of great importance to reveal the functions of microorganisms in native environments. A new strategy termed Raman ¹⁸O-labeling was developed to probe the metabolic activity of bacteria. Raman ¹⁸O-labeling refers to the combination of Raman microspectroscopy with ¹⁸O-labeling using H₂¹⁸O. At an excitation wavelength of 532 nm, the incorporation of ¹⁸O into the amide I group of proteins and DNA/RNA bases was observed in Escherichia coli cells, while for an excitation wavelength electronically resonant with DNA or aromatic amino acid absorption at 244 nm ¹⁸O assimilation was detected using chemometric tools rather than visual inspection. Raman ¹⁸O-labeling at 532 nm combined with 2D correlation analysis confirmed the assimilation of ¹⁸O in proteins and nucleic acids and revealed the growth strategy of E. coli cells; they underwent protein synthesis followed by nucleic acid synthesis. Independent cultural replicates at different incubation times corroborated the reproducibility of these results. The variations in spectral features of ¹⁸O-labeled cells revealed changes in physiological information of cells. Hence, Raman ¹⁸O-labeling could provide a powerful tool to identify metabolically active bacterial cells.     

A ketopentyl transition state analog for acetylcholinesterase.

4-oxo-N,N,N-trimethylpentanaminium chloride is a competitive inhibitor of eel acetylcholinesterase with K_I = 8 × 10^?6 M at 25°, 0.1 M NaCl, 0.04 M MgCl₂, pH 7.5. Its binding decreases at low pH with pK_a = 6.0. N,N,N-trimethylpentanaminium bromide has K_I = 4 × 10^?4 M under the same conditions. Its binding also decreases with pH with pK_a = 5.35. Comparison with literature data indicates that the ketone binds much more strongly than substrates and that its binding shows the pH dependence expected for a transition state analog.     

Psychrotolerant bacteria isolated from the leaf apoplast of cold-adapted wild plants improve the cold resistance of bean (Phaseolus vulgaris L.) under low temperature

We have isolated psychrotolerant bacteria from the leaf apoplast of cold-adapted wild plants and aimed to investigate their effect on the cold resistance of bean (Phaseolus vulgaris L.). Based on the findings of 16S rRNA gene sequence analysis, 20 isolates belonging to 5 bacteria species (Pseudomonas fragi, P. chloropaphis, P. fluorescens, P. proteolytica and Brevibacterium frigoritolerans) were identified in the leaf apoplastic fluid of Draba nemorosa, Galanthus gracilis, Colchicum speciousum, Scilla siberica, Erodium cicutarium, respectively. We have determined that 6 of the 20 isolates have exhibited ACC (1-aminocyclopropane-1-carboxylate) deaminase activity and secreted different extracellular proteins under cold condition (+4 °C) compared to normal growth condition (28 °C). The six isolates were then inoculated independently of each other to the leaves of 10-day-old bean seedlings growing under normal conditions (25/22 °C, 16/8 h photoperiod), and the inoculated and uninoculated (control) seedlings were transferred to cold (9/5 °C, 16/8 h photoperiod) for 3 days. The bacterial inoculations have decreased freezing injury, ice nucleating activity and lipid peroxidation content in parallel with the decrease of reactive oxygen species level such as O₂^.- and H₂O₂ in the inoculated seedlings compared to the control. In addition, the inoculations of the isolates have stimulated the activity of apoplastic antioxidant enzymes including superoxide dismutase, catalase, peroxidase, and glutathione reductase. The results show that the inoculations improve the cold resistance of bean seedlings and the psychrotolerant bacterial isolates can be evaluated within the group of plant growth promoting bacteria (PGPB) which can increase tolerance of cold-sensitive crops.     

Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria

It is now well appreciated that members of pathogenic bacterial populations exhibit heterogeneity in growth rates and metabolic activity, and it is known this can impact the ability to eliminate all members of the bacterial population during antibiotic treatment. It remains unclear which pathways promote slowed bacterial growth within host tissues, primarily because it has been difficult to identify and isolate slow growing bacteria from host tissues for downstream analyses. To overcome this limitation, we have developed a novel variant of TIMER, a slow-folding fluorescent protein, named DsRed₄₂, to identify subsets of slowly dividing bacteria within host tissues. The original TIMER folds too slowly for fluorescence accumulation in quickly replicating bacterial species (Escherichia coli, Yersinia pseudotuberculosis), however DsRed₄₂ accumulates red fluorescence in late stationary phase cultures of E. coli and Y. pseudotuberculosis. We show DsRed₄₂ signal also accumulates during exposure to sources of nitric oxide (NO), suggesting DsRed₄₂ signal detects growth-arrested bacterial cells. In a mouse model of Y. pseudotuberculosis deep tissue infection, DsRed₄₂ signal was detected, and primarily accumulates in bacteria expressing markers of stationary phase growth. There was no significant overlap between DsRed₄₂ signal and NO-exposed subpopulations of bacteria within host tissues, suggesting NO stress was transient, allowing bacteria to recover from this stress and resume replication. This novel DsRed₄₂ variant represents a tool that will enable additional studies of slow-growing subpopulations of bacteria, specifically within bacterial species that quickly divide.     

Prediction of the Metabolic Activity of a Mixed Bacillus Culture during the Biodegradation of Wastewater from the Potato Industry

The advantages of the analysis of electrical impedance changes for the prediction of the metabolic activity of mixed Bacillus cultures used for high temperature industrial wastewater utilization are demonstrated. The primary aim of this study was to investigate the possibilities of a fast assessment of the biodegradative capabilities of microorganisms, their requirements regarding the medium composition as well as the inhibiting effect of high‐strength (i.e., highly concentrated) wastewaters on microbial growth. Four mixed Bacillus cultures were cultivated at 45 and 55 °C on two kinds of wastewater from the potato starch industry. The course of changes in the electrical impedance during the cultivation of the bacteria in the examined wastewaters was described by the mathematical Gompertz model. Three kinetics parameters (maximum rate of impedance changes, I_max; the time necessary to reach, I_max, T_I; and the duration of the lag phase, λ) were proposed for the statistical analysis of the bacterial metabolic activity. The temperature of the biodegradation process and the type and strength of the wastewater significantly influenced the microbial metabolic activity of the mixed bacterial cultures used. Monitoring of the impedance changes, caused by microbial metabolism, and its proposed mathematical specification allowed for predicting the dynamics of the microbiological degradation of wastewater and estimating the inhibiting effects of these media on the microorganisms.     

An estimator of the Opportunity for Selection that is independent of mean fitness

Variation among individuals in number of offspring (fitness, k) sets an upper limit to the evolutionary response to selection. This constraint is quantified by Crow's Opportunity for Selection (I), which is the variance in relative fitness (I = σ²_k/(u_k)²). Crow's I has been widely used but remains controversial because it depends on mean offspring number in a sample (). Here, I used a generalized Wright-Fisher model that allows for unequal probabilities of producing offspring to evaluate behavior of Crow's I and related indices under a wide range of sampling scenarios. Analytical and numerical results are congruent and show that rescaling the sample variance (s²_k) to its expected value at a fixed removes dependence of I on mean offspring number, but the result still depends on choice of . A new index is introduced, Δ_I = Π– E(Î_drift) = Π– 1/, which makes Î independent of sample without the need for variance rescaling. Δ_I has a straightforward interpretation as the component of variance in relative fitness that exceeds that expected under a null model of random reproductive success. Δ_I can be used to directly compare estimates of the Opportunity for Selection for samples from different studies, different sexes, and different life stages.     

Efficient inhibition of some multi-drug resistant pathogenic bacteria by bioactive metabolites from <Emphasis Type="Italic">Bacillus amyloliquefaciens</Emphasis> S<Subscript>5</Subscript>I<Subscript>4</Subscript> isolated from archaeological soil in Egypt

Sixty-eight bacterial cultures were isolated from 5 archaeological soils in Egypt. It is necessary to characterize bacteria from ancient temples to develop protection programs for such archaeological places. Purified bacterial cultures were then tested for their capability to inhibit some multi-drug resistant (MDR) pathogenic bacteria including Staphylococcus aureus, Listeria monocytogenes, Bacillus cereus, Escherichia coli and Klebsiella pneumoniae. Among the most active 10 antibacterial isolates, only one isolate designated as S₅I₄ was selected, characterized and identified as belonging to Bacillus amyloliquefaciens. The strain identification was confirmed by amplification of its 16S rRNA gene. The partial nucleotide sequence of the amplified 16S rRNA gene of the tested strain was submitted in GenBank with accession number AB813716. The physical and nutritional parameters were optimized to improve the production of antimicrobial agents by the B. amyloliquefaciens S₅I₄. The maximum antagonistic effect of this strain against the tested MDR pathogenic bacteria was achieved in presence of 1% galactose and 0.5% yeast extract at 37°C and pH 7.0 after 48 h incubation. The antibacterial compounds of B. amyloliquefaciens S₅I₄ were extracted, purified and characterized using spectroscopic analysis (IR, UV, proton NMR and MS). The compound having inhibitory activity was identified as butanedioic acid, octadecyl,1(1carboxy1methylethyl) 4octyl ester.     

Preparation,structure and properties of dicyano silver complexes of the M(en)3Ag2(CN)4 and M(en)2Ag2(CN)4 type

Complexes of the M(en)₃Ag₂(CN)₄ (M = Ni, Zn, Cd) and M(en)₂Ag₂(CN)₄ (M = Ni, Cu, Zn, Cd) type were prepared and identified by elemental analysis, infrared spectroscopy, measurement of magnetic susceptibility, and X-ray powder diffractometry. The crystal structures of Ni(en)₃Ag₂(CN)₄ (I) and Zn(en)₂Ag₂(CN)₄ (II) were determined by the method of monocrystal structure analysis. Complex I crystallizes in the space group C2/c, a = 1.2639(5), b = 1.3739(4), c = 1.2494(4) nm, β = 113.25(4)°, D_m = 1.86(1), D_c = 1.86 gcm⁻³ Z = 4, R = 0.0429. The crystal structure of I consists of complex cations [Ni(en)₃]²⁺ and complex anions [Ag(CN)₂]⁻. Complex II crystallizes in the space group I2/m, a = 0.9150(3), b = 1.3308(4), c = 0.6442(2) nm, β = 95.80(3)°, D_m = 2.14(1), D_c = 2.15 gcm⁻³, Z = 2, R = 0.0334. Its crystal structure consists of infinite, positively charged chains of the [-NCAgCNZn- (en)₂]_nⁿ⁺ type and isolated [Ag(CN)₂]⁻ anions. The atoms of Ag are positioned parallely to the z axis and the AgAg distance is equal to 0.3221(2) nm.     

Characterization of culturable heterotrophic bacteria in hydrocarbon-contaminated soil from an alpine former military site

We characterized the culturable, heterotrophic bacterial community in soil collected from a former alpine military site contaminated with petroleum hydrocarbons. The physiologically active eubacterial community, as revealed by fluorescence-in situ-hybridization, accounted for 14.9 % of the total (DAPI-stained) bacterial community. 4.0 and 1.2 % of the DAPI-stained cells could be attributed to culturable, heterotrophic bacteria able to grow at 20 and 10 °C, respectively. The majority of culturable bacterial isolates (23/28 strains) belonged to the Proteobacteria with a predominance of Alphaproteobacteria. The remaining isolates were affiliated with the Firmicutes, Actinobacteria and Bacteroidetes. Five strains could be identified as representatives of novel species. Characterization of the 28 strains demonstrated their adaptation to the temperature and nutrient conditions prevailing in the studied soil. One-third of the strains was able to grow at subzero temperatures (?5 °C). Studies on the effect of temperature on growth and lipase production with two selected strains demonstrated their low-temperature adaptation.     

Low‐temperature physiology of climatically distinct south African populations of the biological control agent Neochetina eichhorniae

1. Neochetina eichhorniae is the most widely established biocontrol agent on water hyacinth populations around South Africa. However, some N. eichhorniae populations have failed to adequately control their host population, specifically those exposed to cold conditions.
2. The aim of this study was to determine whether two climatically distinct populations of N. eichhorniae in South Africa differ in their low‐temperature physiology, which tests whether local‐climate adaptation has occurred.
3. We estimated weevil CT_min, LLT₅₀, SCP, and SCP mortality using standard approaches. Contrary to expectation based on climatic thermal profiles at the two sites, weevils from the warm locality ((mean ± SE) CT_min = 5.0 °C ± 0.2, LLT₅₀ = ?11.3 °C ± 0.03, SCP = ?15.8 °C ± 0.6) were able to maintain activity and tolerate colder temperatures than the weevils from the colder site (CT_min = 6.0 °C ± 0.5, LLT₅₀ = ?10.1 °C ± 0.1, SCP = ?12.9 °C ± 0.8).
4. These contradictory outcomes are likely explained by the poor nutrient quality of the plants at the cold site, driving low‐temperature performance variation that overrode any macroclimate variation among sites. The cold site weevils may also have adapted to survive wide‐temperature variability, rather than perform well under very cold conditions. In contrast, the mass‐reared population of insects from the warm site has likely adapted to the consistent conditions that they experience over many years in confinement.

     

Crystal structure of [Sm(OPMePh2)4I2]I. A cationic octahedral complex of samarium(III)

The crystal structure of [Sm(OPMePh₂)₄I₂]I, 1, was determined by X-ray diffraction and refined anisotropically to a final R value of 0.067 from 3040 reflections with I>3.0σ(I). The space group was P2/a and Z=2. The unit cell dimensions were: a= 17.777(6), b=13.559(2), c=11.656(4) Å, α=γ= 90.0 and β=97.25(3)°. The cation geometry was octahedral with the Sm(III) bonded to two mutually trans I⁻ ions and four OPMePh₂ groups. A third non-bonded I⁻ was present elsewhere in the cell. The SmI and SmO distances were 3.077(1) and 2.27(1) Å respectively. Two of the SmOP angles were 172.1(6)° and the other two were 162.0(6)°.     

Use of Raman spectroscopy and chemometrics for the quantification of metal ions attached to Lactobacillus kefir

Aims: To set‐up an experimental and analytical methodology to evaluate the feasibility of developing simple, accurate and quantitative models based on Raman spectroscopy and multivariate analysis for the quantification of metal ions adsorbed to the bacterial surface of Lactobacillus kefir. Methods and Results: One millilitre cultures from two strains of Lact. kefir in the stationary phase were harvested and washed twice with ultra pure water. The bacterial pellets were resuspended into 1 ml solutions of Pb⁺², Cd⁺² or Ni⁺² ranging from 0 to 0·9 mmol l^?1. The suspensions were further incubated for 1 h at 30°C at pH 5·5. After centrifugation, the pellets were kept to register the Raman spectra and the supernatants were used for the analytical determination of Pb⁺², Cd⁺² and Ni⁺². Micro‐organisms nontreated with metal ions were used as controls. Principal component analysis (PCA) was performed over the preprocessed Raman spectra to evaluate whether the clusters obtained could be correlated with the concentration of metal ions attached to the bacterial biomass. After that, partial least squares (PLS) models were calibrated with the aim of quantifying the metal ions adsorbed to the bacterial surface. According to the analytical determinations, the maximum binding capacity of all the metals (q_max) attained values that are comparable with those observed for other lactic acid bacteria (ca. 0·200 mmol g^?1). The spectral analysis revealed that the main functional groups involved in the bacteria/metal interaction are carboxylates, phosphates and polysaccharides. In PCA, the first two principal components explain more than 72% variance of the spectral data set contained in the data structure, allowing a clear discrimination among samples of different concentrations. Based on this information and using as reference the results obtained by analytical methods, PLS prediction models were successfully defined for the quantification of Pb⁺², Cd⁺² and Ni⁺² attached to the bacterial surface. Conclusions: The calibration and validation of methods based on multivariate analysis allowed the definition of models for the quantification of Pb⁺², Cd⁺² and Ni⁺² attached to bacterial surfaces. The high percentages of explained variances in PCA gave a strong support to calibrate the prediction models, depicting very good correlations with the reference method (correlations ～0·90 in all cases). Significance and Impact of the study: Lactobacillus kefir CIDCA 8348 and JCM 5818 bind Pb⁺², Cd⁺² and Ni⁺² in an efficient way. This fact gives support for their potential use as sequestrants of traces of these metals in products addressed to human and animal consume. The prediction models developed would be useful for the determination of the investigated metal ions in unknown samples giving at the same time, structural information about this interaction. This is certainly the most important contribution of this work.