There is provided a method of analyzing a biological sample component that allows easy and accurate quantification and counting of any of a plasma component and a blood cell component in a trace and unknown amount of a whole blood sample collected from a finger, for example. The method of the present invention is a method of analyzing a biological sample component in a trace amount of blood, comprising analyzing a diluent buffer into which the blood has been mixed and an internal standard substance and/or an external standard substance contained in the diluent buffer, calculating a dilution ratio, and analyzing a biological component in a plasma or serum component in the blood.

Embodiments of the present disclosure belongs to the technical field of animal feed and provides a method for rapidly evaluating metabolizable energy of goose diet by using a technique of simulative digestion gross energy. By using the technical means combining the biological method and the simulative digestion gross energy technique, metabolizable energy of goose feed can be evaluated quickly. Based on the “stomach-small intestine” two-step enzymatic methods, it is the first time to establish a regression equation between the metabolizable energy change and fiber level in the cecum to rectify the value of simulative digestion gross energy in the cecal microbial digestion phase, making the simulative digestion gross energy technique more reasonable in the assessment of metabolizable energy in geese. Results show that the use of simulative digestion gross energy technique to assess the metabolizable energy of goose feed value is highly feasible.

Embodiments of the present disclosure belongs to the technical field of animal feed and provides a method for rapidly evaluating metabolizable energy of goose diet by using a technique of simulative digestion gross energy. By using the technical means combining the biological method and the simulative digestion gross energy technique, metabolizable energy of goose feed can be evaluated quickly. Based on the “stomach-small intestine” two-step enzymatic methods, it is the first time to establish a regression equation between the metabolizable energy change and fiber level in the cecum to rectify the value of simulative digestion gross energy in the cecal microbial digestion phase, making the simulative digestion gross energy technique more reasonable in the assessment of metabolizable energy in geese. Results show that the use of simulative digestion gross energy technique to assess the metabolizable energy of goose feed value is highly feasible.

An enzyme sensor including a pair of electrodes, an electron transfer layer held between the pair of electrodes, and an electron generating capsule in which a membrane containing at least a substrate of an enzyme to be detected encloses at least one or more kinds of enzymes other than the enzyme to be detected, the electron generating capsule being in contact with the electron transfer layer.

Disclosed are compositions and methods for the electrochemical detection of enzymes, such as enzymes that are indicative of disease, disorders, or pathogens, such as viruses, bacteria, and fungi, or other disorders. These methods can be used in point-of-care diagnostic assays for the detection of disease, disorder, or pathogen (e.g., to identify the strain of pathogen infecting a patient in a healthcare setting). The electrochemical methods described herein can also be used to assess the susceptibility of a pathogen to an antipathogen drug. Also provided are probes suitable for use in conjunction with the methods described herein.

Disclosed are compositions and methods for the electrochemical detection of enzymes, such as enzymes that are indicative of disease, disorders, or pathogens, such as viruses, bacteria, and fungi, or other disorders. These methods can be used in point-of-care diagnostic assays for the detection of disease, disorder, or pathogen (e.g., to identify the strain of pathogen infecting a patient in a healthcare setting). The electrochemical methods described herein can also be used to assess the susceptibility of a pathogen to an antipathogen drug. Also provided are probes suitable for use in conjunction with the methods described herein.

The present disclosure provides use of guar gum, a fluorescence-enhanced gold nanocluster, a method for detecting α-glucosidase (α-Glu), and a method for screening an α-Glu inhibitor, and belongs to the technical field of nanoscale biosensing. The present disclosure provides the use of the guar gum in improving a fluorescence emission intensity of a gold nanocluster. In the present disclosure, the guar gum is a natural high-molecular polymer extracted from seeds of guar, a leguminous plant, and has a low price, no toxicity, and desirable biocompatibility. The guar gum includes galactose and mannose, is rich in hydroxyl groups in a molecular backbone, and can improve a fluorescence emission intensity of the gold nanocluster. On this basis, detection of an α-Glu activity and screening of an α-Glu inhibitor can be realized with a high sensitivity and low cost.

The present disclosure provides use of guar gum, a fluorescence-enhanced gold nanocluster, a method for detecting α-glucosidase (α-Glu), and a method for screening an α-Glu inhibitor, and belongs to the technical field of nanoscale biosensing. The present disclosure provides the use of the guar gum in improving a fluorescence emission intensity of a gold nanocluster. In the present disclosure, the guar gum is a natural high-molecular polymer extracted from seeds of guar, a leguminous plant, and has a low price, no toxicity, and desirable biocompatibility. The guar gum includes galactose and mannose, is rich in hydroxyl groups in a molecular backbone, and can improve a fluorescence emission intensity of the gold nanocluster. On this basis, detection of an α-Glu activity and screening of an α-Glu inhibitor can be realized with a high sensitivity and low cost.

A β-1,6-glucanase mutant which is a mutant of β-1,6-glucanase (EC 3.2.1.75), wherein a Glu residue located at a position corresponding to Glu (E)-321 in SEQ ID NO: 1 is substituted by an amino acid residue X or a Glu (E) residue located at a position corresponding to each of Glu (E)-225 and Glu (E)-321 in SEQ ID NO: 1 is substituted by an amino acid residue X, wherein the amino acid residue (X) is selected from the group consisting of Gln (Q), Gly (G), Ala (A), Leu (L), Tyr (Y), Met (M), Ser (S), Asn (N), and His (H); and a method for measuring β-1,6-glucan, including measuring β-1,6-glucan bonded to the mutant.

A β-1,6-glucanase mutant which is a mutant of β-1,6-glucanase (EC 3.2.1.75), wherein a Glu residue located at a position corresponding to Glu (E)-321 in SEQ ID NO: 1 is substituted by an amino acid residue X or a Glu (E) residue located at a position corresponding to each of Glu (E)-225 and Glu (E)-321 in SEQ ID NO: 1 is substituted by an amino acid residue X, wherein the amino acid residue (X) is selected from the group consisting of Gln (Q), Gly (G), Ala (A), Leu (L), Tyr (Y), Met (M), Ser (S), Asn (N), and His (H); and a method for measuring β-1,6-glucan, including measuring β-1,6-glucan bonded to the mutant.