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microbial flora --- Livestock --- poultry --- Digestion --- Digestive disorders --- intestines --- microbial ecology --- microorganisms --- intestinal flora

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Intestines --- Gastrointestinal Microbiome --- Gastrointestinal Diseases --- Gastrointestinal Tract --- Intestins --- Microbiology --- Diseases --- microbiology --- Microbiologie --- Maladies --- Microbiologie. --- Bowel diseases --- Enteropathy --- Intestinal diseases --- Gastric Microbiome --- Gastrointestinal Flora --- Gastrointestinal Microbial Community --- Gastrointestinal Microbiota --- Gastrointestinal Microflora --- Gut Flora --- Gut Microbiome --- Gut Microbiota --- Gut Microflora --- Intestinal Flora --- Intestinal Microbiome --- Intestinal Microbiota --- Intestinal Microflora --- Enteric Bacteria --- Bacteria, Enteric --- Flora, Gastrointestinal --- Flora, Gut --- Flora, Intestinal --- Gastric Microbiomes --- Gastrointestinal Microbial Communities --- Gastrointestinal Microbiomes --- Gastrointestinal Microbiotas --- Gut Microbiomes --- Gut Microbiotas --- Intestinal Microbiomes --- Intestinal Microbiotas --- Microbial Community, Gastrointestinal --- Microbiome, Gastric --- Microbiome, Gastrointestinal --- Microbiome, Gut --- Microbiome, Intestinal --- Microbiota, Gastrointestinal --- Microbiota, Gut --- Microbiota, Intestinal --- Microflora, Gastrointestinal --- Microflora, Gut --- Microflora, Intestinal --- Abdomen --- Gastrointestinal system --- Bacteriology --- Microbiologia --- Malalties intestinals --- Intestins. --- Microbiologia. --- Malalties intestinals. --- Gastrointestinal Microbiome. --- microbiology. --- Diseases. --- Microbiology.

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In the field of Analytical Chemistry and, in particular, whenever a quali-quantitative analysis is required, until a few years ago, reference was made exclusively to instrumental methods (more or less hyphenated) which, once validated, were able to provide the answers to the questions present, even if only in a limited way to analytical targets. Nowadays, the landscape has become considerably complicated (natural adulterants, assessment of geographical origin, sophistication, need for non-destructive analysis, search for often unknown compounds), and new procedures for processing data have greatly increased the potential of analyses that are conducted (even routinely) in the laboratory. In this scenario, chemometrics is master, able to manage and process a huge amount of information based both on data relating only to the analytes of interest, but also by applying “general” procedures to process raw untargeted analysis data. It is within this strand of analysis that many of the works reported in this Special Issue fall. In the succession of works in this printed version, the criterion that guided us was to highlight how—starting exclusively from chromatographic techniques (HPLC and GC) with conventional detectors and moving to exclusively spectroscopic techniques (MS, FT-IR and Raman)—it is possible arrive at extremely powerful coupled techniques and procedures (HPLC and FT-IR) able to meet research needs. Finally, at the end of the printed volume, there are two reviews that surveying the state of the art regarding the assessment of authenticity through qualitative analyses and the application of chemometrics in the pharmaceutical field in the study of forced drug degradation products. From the succession of works (and, above all, from the various application fields) it can immediately be seen how the application of chemometrics and its procedures to both raw and processed data is a powerful means of obtaining robust, reproducible, and predictive information. In this manner, it is possible to create models able to explain and respond to the original problem in a much more detailed way. , and Honghe through Fourier transform mid infrared (FT-MIR) spectra combined with partial least squares discriminant analysis (PLS-DA), random forest (RF), and hierarchical cluster analysis (HCA) methods. Melucci and collaborators apply chemometric approaches to non-destructive analysis of ATR-FT-IR for the determination of biosilica content. This value was directly evaluated in sediment samples, without any chemical alteration, using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy, and the quantification was performed by combining the multivariate standard addition method (MSAM) with the net analyte signal (NAS) procedure to solve the strong matrix effect of sediment samples. Still in the food and food supplements field, Anguebes-Franseschi and collaborators report an article where 10 chemometric models based on Raman spectroscopy were applied to predict the physicochemical properties of honey produced in the state of Campeche, Mexico.

Medicine --- Paris polyphylla Smith var. yunnanensis --- multivariate analysis --- chemometrics --- Fourier transform infrared --- amino acids --- reversed-phase liquid chromatography --- gradient elution --- retention prediction --- artificial neural network --- Macrohyporia cocos --- data fusion --- liquid chromatography --- fourier transform infrared spectroscopy --- partial least squares discriminant analysis --- authentication --- Gastrodia elata tuber --- quality evaluation --- HPLC --- QAMS --- Ranae Oviductus --- identification --- protein --- RP-HPLC --- fingerprint --- fish and seafood --- food authentication --- fingerprinting --- wild and farmed --- geographical origin --- vibrational spectroscopy --- absorption/fluorescence spectroscopy --- nuclear magnetic resonance --- hyperspectral imaging --- saffron --- adulteration --- food authenticity --- gas-chromatography --- eupatorin --- UHPLC-Q-TOF-MS/MS --- metabolism --- in vivo and in vitro --- rat liver microsomes --- rat intestinal flora --- untargeted metabolomics --- PARAFAC2 --- alignment --- gas chromatography–mass spectrometry (GC–MS) --- prostate carcinoma --- forced degradation --- degradation products --- stress test --- diatoms --- biogenic silica --- ATR-FTIR --- NAS --- quality control --- Raman spectroscopy --- honey --- PLS regression models --- physicochemical parameters

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We have entered a new era where some concepts of the complex community of microorganisms (microbiota comprising bacteria, fungi, viruses, bacteriophages and helminths) are being re-discovered and re-visited. Microbiota and human interaction is not new; they have shared a long history of co-existence. Nevertheless, the opportunities to understand the role of these microorganisms in human diseases and to design a potential treatment were limited. At present, thanks to development of innovative and cutting-edge molecular biological and microbiological technologies as well as clinical informatics and bioinformatics skills, microbiome application is moving into clinics. Approaches to therapy based on prebiotics, probiotics and lately on fecal microbiota transplantation has revolutionized medicine. Microbiota outnumbers our genes and is now regarded as another organ of the body. The gastrointestinal tract and gut microbiota display a well-documented symbiotic relationship. Disruption of intestinal microbiota homeostasis—called dysbiosis—has been associated with several diseases. Whether dysbiosis is a cause or consequence of disease initiation and progression still needs to be investigated in more depth. The aim of this book is to highlight recent advances in the field of microbiome research, which are now shaping medicine, and current approaches to microbiome-oriented therapy for gastrointestinal diseases. Dr. Rinaldo Pellicano Dr. Sharmila Fagoonee Guest Editors

Bacteroides ovatus --- Bifidobacterium adolescentis --- Dysbiosis --- Faecalibacterium prausnitzii --- Ruminococcus gnavus --- type 1 diabetes --- microbiota --- microbiome --- auto-immunity --- gut permeability --- gut --- IBS --- celiac disease --- enteropathy --- gluten --- therapy --- gut microbiota --- precision medicine --- Clostridium difficile --- inflammatory bowel disease --- ulcerative colitis --- irritable bowel disease --- metabolic syndrome --- gastric microbiota --- transient --- persistent --- culture --- sequencing --- Helicobacter pylori --- fecal microbiota transplantation --- feces donor --- fecal microbiota --- flow cytometry --- viability of bacteria --- next-generation sequencing --- culturing of fecal microbiota --- Alzheimer’s disease --- microbiota–gut–brain axis --- neurodegenerative disease --- intestinal flora --- necrotizing enterocolitis --- intestinal microbiology --- infant gut --- metabolomics --- IL-6 --- IL-8 --- IL-12p70 --- intestinal permeability --- zonulin --- gut virome --- steatosis --- cirrhosis --- hepatocellular carcinoma --- gastrointestinal --- technology --- high-throughput --- crohn’s disease --- mononuclear cells --- transient receptor potential channel --- pancreatic diseases --- acute pancreatitis --- chronic pancreatitis --- diabetes mellitus --- pancreatic ductal adenocarcinoma --- pancreatic cystic neoplasms

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In the field of Analytical Chemistry and, in particular, whenever a quali-quantitative analysis is required, until a few years ago, reference was made exclusively to instrumental methods (more or less hyphenated) which, once validated, were able to provide the answers to the questions present, even if only in a limited way to analytical targets. Nowadays, the landscape has become considerably complicated (natural adulterants, assessment of geographical origin, sophistication, need for non-destructive analysis, search for often unknown compounds), and new procedures for processing data have greatly increased the potential of analyses that are conducted (even routinely) in the laboratory. In this scenario, chemometrics is master, able to manage and process a huge amount of information based both on data relating only to the analytes of interest, but also by applying “general” procedures to process raw untargeted analysis data. It is within this strand of analysis that many of the works reported in this Special Issue fall. In the succession of works in this printed version, the criterion that guided us was to highlight how—starting exclusively from chromatographic techniques (HPLC and GC) with conventional detectors and moving to exclusively spectroscopic techniques (MS, FT-IR and Raman)—it is possible arrive at extremely powerful coupled techniques and procedures (HPLC and FT-IR) able to meet research needs. Finally, at the end of the printed volume, there are two reviews that surveying the state of the art regarding the assessment of authenticity through qualitative analyses and the application of chemometrics in the pharmaceutical field in the study of forced drug degradation products. From the succession of works (and, above all, from the various application fields) it can immediately be seen how the application of chemometrics and its procedures to both raw and processed data is a powerful means of obtaining robust, reproducible, and predictive information. In this manner, it is possible to create models able to explain and respond to the original problem in a much more detailed way. , and Honghe through Fourier transform mid infrared (FT-MIR) spectra combined with partial least squares discriminant analysis (PLS-DA), random forest (RF), and hierarchical cluster analysis (HCA) methods. Melucci and collaborators apply chemometric approaches to non-destructive analysis of ATR-FT-IR for the determination of biosilica content. This value was directly evaluated in sediment samples, without any chemical alteration, using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy, and the quantification was performed by combining the multivariate standard addition method (MSAM) with the net analyte signal (NAS) procedure to solve the strong matrix effect of sediment samples. Still in the food and food supplements field, Anguebes-Franseschi and collaborators report an article where 10 chemometric models based on Raman spectroscopy were applied to predict the physicochemical properties of honey produced in the state of Campeche, Mexico.

Medicine --- Paris polyphylla Smith var. yunnanensis --- multivariate analysis --- chemometrics --- Fourier transform infrared --- amino acids --- reversed-phase liquid chromatography --- gradient elution --- retention prediction --- artificial neural network --- Macrohyporia cocos --- data fusion --- liquid chromatography --- fourier transform infrared spectroscopy --- partial least squares discriminant analysis --- authentication --- Gastrodia elata tuber --- quality evaluation --- HPLC --- QAMS --- Ranae Oviductus --- identification --- protein --- RP-HPLC --- fingerprint --- fish and seafood --- food authentication --- fingerprinting --- wild and farmed --- geographical origin --- vibrational spectroscopy --- absorption/fluorescence spectroscopy --- nuclear magnetic resonance --- hyperspectral imaging --- saffron --- adulteration --- food authenticity --- gas-chromatography --- eupatorin --- UHPLC-Q-TOF-MS/MS --- metabolism --- in vivo and in vitro --- rat liver microsomes --- rat intestinal flora --- untargeted metabolomics --- PARAFAC2 --- alignment --- gas chromatography–mass spectrometry (GC–MS) --- prostate carcinoma --- forced degradation --- degradation products --- stress test --- diatoms --- biogenic silica --- ATR-FTIR --- NAS --- quality control --- Raman spectroscopy --- honey --- PLS regression models --- physicochemical parameters