Ecological risk assessment of heavy metals in desulfurized seawater discharged from a coal-fired power plant in Qingdao.

Despite the prevalence of discharge of large volumes of heavy-metal-bearing seawater from coal-fired power plants into adjacent seas, studies on the associated ecological risks remain limited. This study continuously monitored concentrations of seven heavy metals (i.e. As, Cd, Cr, Cu, Hg, Pb, and Zn) in surface seawater near the outfall of a coal-fired power plant in Qingdao, China over three years. The results showed average concentrations of As, Cd, Cr, Cu, Hg, Pb, and Zn of 2.63, 0.33, 2.97, 4.63, 0.008, 0.85, and 25.00 µg/L, respectively. Given the lack of data on metal toxicity to local species, this study investigated species composition and biomass near discharge outfalls and constructed species sensitivity distribution (SSD) curves with biological flora characteristics. Hazardous concentrations for 5% of species (HC5) for As, Cd, Cr, Cu, Hg, Pb, and Zn derived from SSDs constructed from chronic toxicity data for native species were 3.23, 2.22, 0.06, 2.83, 0.66, 4.70, and 11.07 µg/L, respectively. This study further assessed ecological risk of heavy metals by applying the Hazard Quotient (HQ) and Joint Probability Curve (JPC) based on long-term heavy metal exposure data and chronic toxicity data for local species. The results revealed acceptable levels of ecological risk for As, Cd, Hg, and Pb, but unacceptable levels for Cr, Cu, and Zn. The order of studied heavy metals in terms of ecological risk was Cr > Cu ≈ Zn > As > Cd ≈ Pb > Hg. The results of this study can guide the assessment of ecological risk at heavy metal contaminated sites characterized by relatively low heavy metal concentrations and high discharge volumes, such as receiving waters of coal-fired power plant effluents.

Retrospective analysis of glycan-related biomarkers based on clinical laboratory data in two medical centers during the past 6 years.

Most of clinically used cancer biomarkers are either specific glycan structures or glycoproteins. Although the high serum levels of the cancer biomarkers are also present in certain patients suffering noncancer diseases, systematic measurement and comparison of the serum levels of all cancer biomarkers among cancer and noncancer patients have not been reported. In this study, the serum levels of 17 glucose and glycan-related biomarkers including 10 cancer biomarkers SCCA, CA724, CA50, CA242, CA125, CA199, CA153, AFP, CEA, and PSA were retrospectively investigated based on clinical laboratory data in two medical centers during the past 6 years (2012-2018). The data included a total of 1,477,309 clinical lab test results of 17 biomarkers from healthy controls and patients suffering 64 different types of cancer and noncancer diseases. We found that the median serum levels of CA724, CEA, CA153, SCCA, and CA125 were highest not in cancer patients but in patients suffering gout, lung fibrosis, nephrotic syndrome, uremia, and cirrhosis, respectively. Consistently, the classical ovarian cancer biomarker CA125 had better overall sensitivity and specificity as biomarker for cirrhosis (67% and 92%, respectively) than that for ovarian cancer (41% and 97%, respectively). Furthermore, the information shown as heatmap or waterfall built on the -Log10p values of the 17 glycan-related biomarkers in different clinically defined diseases suggested that all glycan-related biomarkers had cancer-, aging-, and disease-relevant characteristics and cancers were systems disease. The detailed presentation of the data for each of the 17 biomarkers will be deliberated in chapters 6-23 in this book series.

[Research on characterization analysis of synchronous fluorescence spectra of living phytoplankton].

The synchronous fluorescence spectra of five phytoplankton species growing under three temperatures (25, 20 and 15 degrees C)and three illuminations (7000, 4100 and 1100 Lx)were measured and processed by multinomial smoothness and autoscaling to obtain the characteristic spectra. Principal component analysis was used to obtain standard spectra. The analysis shows that at different temperatures, the characteristic spectra of Skeletonema costatuma, Isochrysis galbana, and Platymonas helgolanidica show high similarities, while the spectra similarities of Alexandrium tamarense and Gymnodinium stein are not as good as the above three species. The standard spectrum of Skeletonema costatuma, which belongs to Bacillariophyta, is quite different from those of Alexandrium tamarense and Gymnodinium stein, which belong to Dinophyta.

[Characteristics of absorption spectra of phytoplankton].

Nine typical phytoplankton species were chosen and cultivated under two temperatures (20 and 15 degrees C) and two illumi- nations (7000 and 1100 lux), and their absorption spectra at different growth period were measured. Firstly, singular value decomposition was used on the matrix, which is composed of the autoscaled spectra data. The S1/msigma(i=1)Si was used to compare the similarities of spectra. Twenty-five representative spectra were obtained for the nine species of phytoplankton. Among them, there are one spectrum for each of Isochrysis galbana and Chaetoceros Debilis, two for each of Platymonas helgolanidica and Chaetoceros curvisetus, three for Gymnodinium sp., and four for each of Alexandrium tamarense, Prorocentrum dentatum, Skeletonema costatuma and Synechococcus sp. Then, feature extraction was processed to obtain the characteristic spectra, including seven incontinuous wavelengths that have great ability to differentiate species. They are 340. 5-420. 5 nm, 423. 5-431 nm, 440.5-525.5 nm, 760.5, 763.5, 769.5 and 856.5 nm. Consequently, they form characteristic spectra. The discriminant result is 80%.

Discrimination of phytoplankton classes using characteristic spectra of 3D fluorescence spectra.

The discrimination of phytoplankton classes using the characteristic fluorescence spectra extracted from three-dimensional fluorescence spectra was investigated. Single species cultures of 11 phytoplankton species, representing 5 major phytoplankton divisions, were used. The 3D fluorescence spectra of the cultures grown at different temperatures (20 and 15 degrees C) and illumination intensities (140, 80 and 30 microM m(-2) s(-1)) were measured and their feature extraction methods were explored. Ordering Rayleigh and Raman scattering data as zero, the obtained excitation-emission matrices were processed by both singular value decomposition (SVD) and trilinear decomposition methods. The resulting first principal component can be regarded as the characteristic spectrum of the original 3D fluorescence spectrum. The analysis shows that such characteristic spectra have a discriminatory capability. At different temperatures, the characteristic spectra of Isochrysis galbana, Platymonas helgolanidica and Skeletonema costatuma have high degrees of similarity to their own species samples, while the spectra similarities of Alexandrium tamarense, Prorocentrum dentatum, Pseudo-nitzschia pungens, Chaetoceros curvisetus, Ch. Debilis, Ch. Didymus and Synechococcus sp. are not as significant as the other three species. C. curvisetus, Ch. Debilis and Ch. Didymus, belonging to genus Chaetoceros, have identical spectra and cannot be discriminated at all. Regarding all six diatom species as one class, the average discriminant error rate is below 9%. It is worth mentioning that the diatom class can be distinguished from A. tamarense and P. dentatum, which belong to Dinophyta.

[Research on discrimination of 3D fluorescence spectra of phytoplanktons].

Six phytoplankton species belonging to four divisions, which may cause red tide, were selected and cultivated under different temperature (20 degrees C and 15 degrees C) and illumination (7000, 4100 and 1100 Lux) in lab. 3D fluorescence spectra were measured in each growth period. Discrimination of these phytoplanktons' 3D fluorescence spectra was explored using discriminant analyses. The result showed that discriminant analyses based on the principal component analysis of spectra data was an efficient method. Isochrysis galbana, Platymonas helgolanidica and Skeletonema costatuma can be discriminated effectively. Skeletonema costatuma, which is an diatom, can be distinguished from Alexandrium tamarense and Prorocentrum micans which belong to Dinophyta.